feat: rooms-division-manager skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 16:38:41 +02:00
commit 24a0eec00f
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# Data provenance — rooms-division-manager
Where the content of this skill package comes from, counted by
content items (tasks, competences, tools, evidence entries, curated
knowledge). Rendered live by Gitea:
```mermaid
%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
pie showData
title Content sources — rooms-division-manager
"ESCO (occupation & competences)" : 35
"O*NET (tasks & tools)" : 81
"Job boards (market evidence)" : 48
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 171
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 35 | 10.3 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 81 | 23.8 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 48 | 14.1 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 5 | 1.5 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 171 | 50.3 % | references/ai-skills.md (per-source attribution inside) |
| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
paraphrased with source URLs — never copied · external AI skills are
linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).

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---
name: rooms-division-manager
description: "Occupational skill for the role 'rooms division manager' (also: head receptionist, rooms and reservations manager, front office manager, rooms manager, reception manager, director of rooms). Use when the user asks for typical rooms division manager work such as: typical rooms division manager responsibilities"
---
# Rooms Division Manager
Rooms division managers are in charge of managing and coordinating a team of employees at front desk, reservations, housekeeping and maintenance departments.
## Core workflow
## How to use this skill
- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
## Key competences (essential)
- assess cleanliness of areas
- assist at check-in
- comply with food safety and hygiene
- coordinate activities across hospitality rooms division
- coordinate redecoration of hospitality establishment
- develop working procedures
- ensure cross-department cooperation
- forecast occupancy demand
- handle customer complaints
- maintain customer service
- manage budgets
- manage front operations
- manage health and safety standards
- manage hospitality revenue
- manage inspections of equipment
## Hot technologies
- Facebook
- Microsoft Access
- Microsoft Excel
- Microsoft Office software
- Microsoft Outlook
- Microsoft PowerPoint
- Microsoft Word
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/02e19186-458f-40eb-9e78-31c656d12ac7), O*NET 30.3 (11-9081.00, manual nearest match). See manifest.json for licensing/attribution.*

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{
"name": "rooms-division-manager",
"title": "rooms division manager",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/02e19186-458f-40eb-9e78-31c656d12ac7",
"esco_code": "1411.3",
"isco_group": "1411",
"onet_soc": "11-9081.00",
"crosswalk_match": "manual nearest via ISCO 1411 (Lodging Managers)"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
"counts": {
"tasks": 0,
"dwas": 0,
"skills_essential": 21,
"skills_optional": 13,
"software": 0
},
"enrichment_ai_skills": {
"generated": "2026-07-14",
"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
"sources": {
"anthropics/skills": {
"repo": "https://github.com/anthropics/skills",
"commit": "f6656c1",
"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
"skills": 2
},
"wshobson/agents": {
"repo": "https://github.com/wshobson/agents",
"commit": "6fd3247",
"license": "MIT (c) Seth Hobson",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 7
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 8
},
"ruvnet/claude-code-flow": {
"repo": "https://github.com/ruvnet/claude-code-flow",
"commit": "73914bd",
"license": "MIT",
"skills": 6
},
"ruvnet/ruflo": {
"repo": "https://github.com/ruvnet/ruflo",
"commit": "73914bd",
"license": "MIT",
"skills": 6
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 12
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 3
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 3
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 1
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 3
},
"wanshuiyin/Auto-claude-code-research-in-sleep": {
"repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
"commit": "eb5c9d7",
"license": "MIT",
"skills": 1
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 4
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 2
},
"googleworkspace/cli": {
"repo": "https://github.com/googleworkspace/cli",
"commit": "a3768d0",
"license": "Apache-2.0",
"skills": 2
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 1
},
"giuseppe-trisciuoglio/developer-kit": {
"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
"commit": "306f428",
"license": "MIT",
"skills": 1
},
"samber/cc-skills-golang": {
"repo": "https://github.com/samber/cc-skills-golang",
"commit": "4881c01",
"license": "MIT",
"skills": 1
},
"aaron-he-zhu/aaron-marketing-skills": {
"repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
"commit": "b7b0b9f",
"license": "Apache-2.0",
"skills": 1
},
"Orchestra-Research/AI-research-SKILLs": {
"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 1
},
"zechenzhangAGI/AI-research-SKILLs": {
"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 1
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 1
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 1
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 1
},
"microsoft/skills": {
"repo": "https://github.com/microsoft/skills",
"commit": "dc543aa",
"license": "MIT",
"skills": 1
},
"ThinkInAIXYZ/deepchat": {
"repo": "https://github.com/ThinkInAIXYZ/deepchat",
"commit": "f275c92",
"license": "Apache-2.0",
"skills": 1
},
"alinaqi/claude-bootstrap": {
"repo": "https://github.com/alinaqi/claude-bootstrap",
"commit": "f61ec87",
"license": "MIT",
"skills": 1
},
"sanjay3290/ai-skills": {
"repo": "https://github.com/sanjay3290/ai-skills",
"commit": "3619692",
"license": "Apache-2.0",
"skills": 2
},
"Chachamaru127/claude-code-harness": {
"repo": "https://github.com/Chachamaru127/claude-code-harness",
"commit": "9851b1a",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"silverstein/minutes": {
"repo": "https://github.com/silverstein/minutes",
"commit": "3fb2e83",
"license": "MIT",
"skills": 1
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 1
},
"memvid/claude-brain": {
"repo": "https://github.com/memvid/claude-brain",
"commit": "5df71f7",
"license": "MIT",
"skills": 2
}
},
"total_skills": 80,
"tiers": {
"core": 23,
"adjacent": 57
}
},
"provenance": {
"items": {
"esco": 35,
"onet": 81,
"jobads": 48,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 171,
"stackx": 0
},
"share_percent": {
"esco": 10.3,
"onet": 23.8,
"jobads": 14.1,
"wiki_ai": 0.0,
"anthropic": 1.5,
"ai_skills": 50.3,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — rooms-division-manager
Proven, publicly available AI agent skills mapped to this occupation.
Nothing is copied from the sources: every entry is a name, a one-line
summary and a link to the upstream skill package. Each section names
its source repository, commit, license and retrieval date.
**Tiers:** `core` = the skill directly exercises a top market hard
skill, tool or method (from gated job-ad evidence) or an essential
ESCO competence of this occupation; `adjacent` =
plausibly useful, secondary. Entries are capped at 12 per source
and 80 in total per occupation (core first,
strongest matches survive); everything beyond the caps is excluded
and logged in the pipeline audit trail, not in this package.
_Matched deterministically (ISCO group + title/competence keywords,
tiered against market evidence + ESCO essentials) by
`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
## Source: anthropics/skills
- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
## Source: wshobson/agents
- Repository: [https://github.com/wshobson/agents](https://github.com/wshobson/agents) (commit `6fd3247`, retrieved 2026-07-14)
- License: MIT (c) Seth Hobson
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `team-collaboration-dx-optimizer (agent)` | adjacent | Developer Experience specialist. Improves tooling, setup, and workflows. Use PROACTIVELY when setting up new projects, after team feedback, or when development friction is noticed. | [source](https://github.com/wshobson/agents/tree/main/plugins/team-collaboration/agents/dx-optimizer.md) |
## Source: a5c-ai/babysitter
- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `translation-management` | core | Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/technical-documentation/skills/translation-management) |
| `context-engineering` | core | Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/gsd/skills/context-engineering) |
| `unity-profiler` | core | Unity Profiler skill for performance analysis, frame debugging, memory profiling, and optimization workflows. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/game-development/skills/unity-profiler) |
| `vector-memory` | adjacent | HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/ruflo/skills/vector-memory) |
| `memory-summarization` | adjacent | Conversation summarization for memory compression and context management | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/ai-agents-conversational/skills/memory-summarization) |
| `unity-addressables` | adjacent | Unity Addressables asset management skill for remote catalogs, content updates, asset bundles, and memory-efficient asset loading. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/game-development/skills/unity-addressables) |
| `nvenc-nvdec` | adjacent | NVIDIA hardware video encoding/decoding integration. Configure NVENC encoding parameters, set up NVDEC decoding pipelines, handle codec configurations, integrate with CUDA for pre/post processing, and manage video memory surfaces. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/nvenc-nvdec) |
| `vulkan-compute` | adjacent | Vulkan compute shader development and pipeline configuration. Generate GLSL/HLSL compute shaders, compile to SPIR-V, configure compute pipelines, manage descriptor sets and resource bindings, implement memory barriers and synchronization. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/vulkan-compute) |
## Source: aaron-he-zhu/aaron-marketing-skills
- Repository: [https://github.com/aaron-he-zhu/aaron-marketing-skills](https://github.com/aaron-he-zhu/aaron-marketing-skills) (commit `b7b0b9f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-management` | adjacent | Use when the user asks to "remember project context", review saved findings, initialize runtime memory, archive stale work, reconcile notes, or erase a subject; manages authorized HOT/WARM/COLD working memory across all disciplines while … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/protocol/memory-management) |
## Source: affaan-m/everything-claude-code
- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `agentic-os` | core | Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/agentic-os) |
| `google-workspace-ops` | core | Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/google-workspace-ops) |
| `knowledge-ops` | adjacent | Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/knowledge-ops) |
## Source: alinaqi/claude-bootstrap
- Repository: [https://github.com/alinaqi/claude-bootstrap](https://github.com/alinaqi/claude-bootstrap) (commit `f61ec87`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `session-management` | adjacent | Context preservation, tiered summarization, resumability | [source](https://github.com/alinaqi/claude-bootstrap/tree/f61ec87/skills/session-management) |
## Source: alirezarezvani/claude-skills
- Repository: [https://github.com/alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) (commit `0241f43`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `google-workspace-cli` | core | Google Workspace administration via the gws CLI (github.com/googleworkspace/cli). Install, authenticate, and automate Gmail, Drive, Sheets, Calendar, Docs, Chat, and Tasks. Run security audits and use local recipe templates and persona … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/engineering-team/google-workspace-cli/skills/google-workspace-cli) |
| `ceo-advisor` | adjacent | Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/skills/ceo-advisor) |
| `founder-coach` | adjacent | Personal leadership development for founders and first-time CEOs. Covers founder archetype identification, delegation frameworks, energy management, CEO calendar audits, leadership style evolution, blind spot identification, imposter … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/skills/founder-coach) |
| `social-media-manager` | adjacent | When the user wants to develop social media strategy, plan content calendars, manage community engagement, or grow their social presence across platforms. Also use when the user mentions 'social media strategy,' 'social calendar,' … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/marketing-skill/skills/social-media-manager) |
## Source: basicmachines-co/basic-memory
- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-tasks` | core | Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-tasks) |
| `memory-schema` | adjacent | Schema lifecycle management for Basic Memory: discover unschemaed notes, infer schemas, create and edit schema definitions, validate notes, and detect drift. Use when working with structured note types (Task, Person, Meeting, etc.) to … | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-schema) |
| `memory-lifecycle` | adjacent | Manage entity status transitions in Basic Memory: archive completed work, move notes between status folders, update frontmatter, and handle edge cases. Use when marking items complete, archiving old entities, or managing any folder-based … | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-lifecycle) |
## Source: brycewang-stanford/Auto-Empirical-Research-Skills
- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14)
- License: CC-BY-4.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `hud` | adjacent | Diverga HUD (Heads-Up Display) management skill. Configure and manage the research project statusline display. Supports multiple presets: research, checkpoint, memory, minimal. Triggers: "hud", "statusline", "display settings | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/hud) |
## Source: Chachamaru127/claude-code-harness
- Repository: [https://github.com/Chachamaru127/claude-code-harness](https://github.com/Chachamaru127/claude-code-harness) (commit `9851b1a`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory` | adjacent | Manage SSOT, memory, and cross-tool memory search. Guardian of decisions.md and patterns.md. Use when user mentions memory, SSOT, decisions.md, patterns.md, merging, migration, SSOT promotion, sync memory, save learnings, memory search, … | [source](https://github.com/Chachamaru127/claude-code-harness/tree/9851b1a/codex/.codex/skills/memory) |
## Source: davepoon/buildwithclaude
- Repository: [https://github.com/davepoon/buildwithclaude](https://github.com/davepoon/buildwithclaude) (commit `3c94e0c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `googlesheets-automation` | core | Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/googlesheets-automation) |
| `google-calendar-automation` | adjacent | Automate Google Calendar events, scheduling, availability checks, and attendee management via Rube MCP (Composio). Create events, find free slots, manage attendees, and list calendars programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/google-calendar-automation) |
| `outlook-calendar-automation` | adjacent | Automate Outlook Calendar tasks via Rube MCP (Composio): create events, manage attendees, find meeting times, and handle invitations. Always search tools first for current schemas. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/outlook-calendar-automation) |
## Source: davila7/claude-code-templates
- Repository: [https://github.com/davila7/claude-code-templates](https://github.com/davila7/claude-code-templates) (commit `fa79251`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `it-operations` | core | Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/it-operations) |
| `agent-memory-mcp` | core | A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agent-memory-mcp) |
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agents-langchain) |
| `treatment-plans` | adjacent | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/treatment-plans) |
| `c-pro` | adjacent | Write efficient C code with proper memory management, pointer | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/c-pro) |
| `context-window-management` | adjacent | Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/context-window-management) |
| `railway-metrics` | adjacent | Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow". | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/railway/metrics) |
## Source: foryourhealth111-pixel/Vibe-Skills
- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `treatment-plans` | adjacent | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/treatment-plans) |
## Source: giuseppe-trisciuoglio/developer-kit
- Repository: [https://github.com/giuseppe-trisciuoglio/developer-kit](https://github.com/giuseppe-trisciuoglio/developer-kit) (commit `306f428`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-md-management` | adjacent | Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-core/skills/memory-md-management) |
## Source: googleworkspace/cli
- Repository: [https://github.com/googleworkspace/cli](https://github.com/googleworkspace/cli) (commit `a3768d0`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `recipe-share-event-materials` | core | Share Google Drive files with all attendees of a Google Calendar event. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/recipe-share-event-materials) |
| `gws-calendar` | adjacent | Google Calendar: Manage calendars and events. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/gws-calendar) |
## Source: jeremylongshore/claude-code-plugins-plus-skills
- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `apify-cost-tuning` | core | Optimize Apify platform costs through memory tuning, compute unit management, and proxy budgeting. Use when analyzing Apify billing, reducing Actor run costs, or implementing usage monitoring and budget alerts. Trigger: "apify cost", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/apify-pack/skills/apify-cost-tuning) |
| `presentation-slide-outliner` | core | Manage presentation slide outliner operations. Auto-activating skill for Visual Content. Triggers on: presentation slide outliner, presentation slide outliner Part of the Visual Content skill category. Use when working with presentation … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/18-visual-content/presentation-slide-outliner) |
| `profiling-application-performance` | core | Execute this skill enables AI assistant to profile application performance, analyzing cpu usage, memory consumption, and execution time. it is triggered when the user requests performance analysis, bottleneck identification, or … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/performance/application-profiler/skills/profiling-application-performance) |
| `windsurf-cascade-context` | adjacent | Manage Cascade context window and memory for complex projects. Activate when users mention "cascade context", "ai memory", "context management", "large codebase navigation", or "multi-session development". Handles context optimization and … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/skill-databases/windsurf/skills/windsurf-cascade-context) |
| `twinmind-data-handling` | adjacent | Handle TwinMind meeting data with GDPR compliance: transcript storage, memory vault management, data export, and deletion policies. Use when implementing data handling, or managing TwinMind meeting AI operations. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-data-handling) |
| `notion-load-scale` | adjacent | High-volume Notion operations: parallel requests within 3 req/sec, worker queues, database pagination at scale, incremental sync for large workspaces, and memory management for bulk operations. Trigger with phrases like "notion scale", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/notion-pack/skills/notion-load-scale) |
| `cursor-context-management` | adjacent | Optimize context window usage in Cursor with @-mentions, context pills, and conversation strategy. Triggers on "cursor context", "context window", "context limit", "cursor memory", "context management", "@-mentions", "context pills". | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/cursor-pack/skills/cursor-context-management) |
| `cursor-performance-tuning` | adjacent | Optimize Cursor IDE performance: reduce memory usage, speed up indexing, tune AI features, and manage extensions for large codebases. Triggers on "cursor performance", "cursor slow", "cursor optimization", "cursor memory", "speed up … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/cursor-pack/skills/cursor-performance-tuning) |
| `evernote-core-workflow-a` | adjacent | Execute Evernote primary workflow: Note Creation and Management. Use when creating notes, organizing content, managing notebooks, or implementing note-taking features. Trigger with phrases like "create evernote note", "evernote note … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/evernote-pack/skills/evernote-core-workflow-a) |
| `memory-kit` | adjacent | Persistent context management for Claude Code sessions. Save, load, update, share, and audit session memory via MEMORY.md. Prevents context loss on compaction or session restart. Use when starting a session, before compaction, syncing … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/productivity/claude-memory-kit/skills/memory-kit) |
| `gamma-core-workflow-b` | adjacent | Generate from templates, retrieve exports, and manage sharing via Gamma API. Use when creating content from template gammas, downloading PDF/PPTX/PNG exports, or configuring sharing and folder organization. Trigger: "gamma template", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/gamma-pack/skills/gamma-core-workflow-b) |
| `memory-profiler-setup` | adjacent | Configure memory profiler setup operations. Auto-activating skill for Performance Testing. Triggers on: memory profiler setup, memory profiler setup Part of the Performance Testing skill category. Use when working with memory profiler … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/10-performance-testing/memory-profiler-setup) |
## Source: K-Dense-AI/claude-scientific-skills
- Repository: [https://github.com/K-Dense-AI/claude-scientific-skills](https://github.com/K-Dense-AI/claude-scientific-skills) (commit `4d97e29`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `treatment-plans` | adjacent | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/treatment-plans) |
## Source: K-Dense-AI/scientific-agent-skills
- Repository: [https://github.com/K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) (commit `4d97e29`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `treatment-plans` | adjacent | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/treatment-plans) |
## Source: memvid/claude-brain
- Repository: [https://github.com/memvid/claude-brain](https://github.com/memvid/claude-brain) (commit `5df71f7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory` | adjacent | Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file | [source](https://github.com/memvid/claude-brain/tree/5df71f7/skills/memory) |
| `mind` | adjacent | Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file | [source](https://github.com/memvid/claude-brain/tree/5df71f7/skills/mind) |
## Source: microsoft/skills
- Repository: [https://github.com/microsoft/skills](https://github.com/microsoft/skills) (commit `dc543aa`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `kql` | adjacent | KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and … | [source](https://github.com/microsoft/skills/tree/dc543aa/.github/skills/kql) |
## Source: mohitagw15856/pm-claude-skills
- Repository: [https://github.com/mohitagw15856/pm-claude-skills](https://github.com/mohitagw15856/pm-claude-skills) (commit `876fa30`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `excel-model` | adjacent | Build a real, formula-driven Excel (.xlsx) model — not a static table. Use when asked to build an Excel model, a financial model, a budget/forecast spreadsheet, or any .xlsx with live formulas a user can edit. Produces an actual .xlsx file … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-documents/skills/excel-model) |
## Source: mukul975/Anthropic-Cybersecurity-Skills
- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
## Source: Orchestra-Research/AI-research-SKILLs
- Repository: [https://github.com/Orchestra-Research/AI-research-SKILLs](https://github.com/Orchestra-Research/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/14-agents/langchain) |
## Source: ruvnet/claude-code-flow
- Repository: [https://github.com/ruvnet/claude-code-flow](https://github.com/ruvnet/claude-code-flow) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `Hooks Automation` | core | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
| `AgentDB Memory Patterns` | core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
| `memory-management` | core | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/memory-management) |
| `rvf-manage` | adjacent | Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/plugins/ruflo-rvf/skills/rvf-manage) |
| `AgentDB Performance Optimization` | adjacent | Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-optimization) |
| `V3 Memory Unification` | adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/v3-memory-unification) |
## Source: ruvnet/ruflo
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `Hooks Automation` | core | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/hooks-automation) |
| `AgentDB Memory Patterns` | core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
| `memory-management` | core | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/memory-management) |
| `rvf-manage` | adjacent | Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer | [source](https://github.com/ruvnet/ruflo/tree/73914bd/plugins/ruflo-rvf/skills/rvf-manage) |
| `AgentDB Performance Optimization` | adjacent | Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-optimization) |
| `V3 Memory Unification` | adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/v3-memory-unification) |
## Source: samber/cc-skills-golang
- Repository: [https://github.com/samber/cc-skills-golang](https://github.com/samber/cc-skills-golang) (commit `4881c01`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `golang-security` | adjacent | Security best practices and vulnerability prevention for Golang. Covers injection (SQL, command, XSS), cryptography, filesystem safety, network security, cookies, secrets management, memory safety, and logging. Apply when writing, … | [source](https://github.com/samber/cc-skills-golang/tree/4881c01/skills/golang-security) |
## Source: sanjay3290/ai-skills
- Repository: [https://github.com/sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) (commit `3619692`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `google-slides` | adjacent | Read and write Google Slides presentations - get text, find presentations, create presentations, add slides, replace text, and manage slide content. Use when user asks to: read a presentation, create slides, find slides, add a slide, … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/google-slides) |
| `gmail` | adjacent | Interact with Gmail - search emails, read messages, send emails, create drafts, and manage labels. Use when user asks to: search email, read email, send email, create email draft, mark as read, archive email, star email, or manage Gmail … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/gmail) |
## Source: silverstein/minutes
- Repository: [https://github.com/silverstein/minutes](https://github.com/silverstein/minutes) (commit `3fb2e83`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `minutes-cleanup` | adjacent | Manage old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-cleanup) |
## Source: ThinkInAIXYZ/deepchat
- Repository: [https://github.com/ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) (commit `f275c92`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-management` | adjacent | Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape. | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/memory-management) |
## Source: vibeeval/vibecosystem
- Repository: [https://github.com/vibeeval/vibecosystem](https://github.com/vibeeval/vibecosystem) (commit `cea9462`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-palace` | core | Hierarchical memory organization for multi-session context retention. Wings (projects) > Rooms (domains) > Drawers (decisions). Semantic search across all memories with zero cloud dependency. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/memory-palace) |
| `knowledge-management` | adjacent | Proje bilgisini 4 katmanli yapida organize et. Aktif projeler, sorumluluk alanlari, referans kaynaklar ve arsiv. Progressive summarization ile bilgiyi katman katman ozumse. Second brain pattern'i ile codebase bilgisini yapilandir. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/knowledge-management) |
## Source: wanshuiyin/Auto-claude-code-research-in-sleep
- Repository: [https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) (commit `eb5c9d7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `system-profile` | core | Profile a target (script, process, GPU, memory, interconnect) for performance analysis. Use when user says \"profile\", \"benchmark\", \"bottleneck\", or wants performance analysis. | [source](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/eb5c9d7/skills/skills-codex/system-profile) |
## Source: zechenzhangAGI/AI-research-SKILLs
- Repository: [https://github.com/zechenzhangAGI/AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/14-agents/langchain) |

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@@ -0,0 +1,59 @@
# Berufsbild (Deutschland) — Rooms-Division-Manager/in
> **Quelle:** BERUFENET, Bundesagentur für Arbeit — Beruf-ID 10027,
> KldB 2010: B 63294 · via öffentliche BERUFENET-API,
> abgerufen 2026-07-12. Automatisches Label-Matching
> (Score 1.00); Inhalte paraphrasiert/gekürzt, Volltext beim
> Original: https://web.arbeitsagentur.de/berufenet/beruf/10027
## Aufgaben und Tätigkeiten kompakt
Rooms-Division-Manager und Rooms-Division-Managerinnen koordinieren v.a. die gastnahen Bereiche Empfang, Reservierung, Housekeeping und Haustechnik. Dabei besprechen sie sich mit den Bereichsverantwortlichen, gestalten Arbeitsabläufe mit und optimieren die Zusammenarbeit der Abteilungen. Sie wählen Personal aus, planen den Einsatz, führen Schulungen durch und überwachen die Arbeitsausführung nach hausinternen Qualitätsvorgaben. Zudem wirken sie bei der Etat, Haushaltsplan; Finanzplan für Einnahmen und Ausgaben
" name="Budget">Budgetplanung mit, kontrollieren die Ausgaben und entwickeln verkaufsfördernde Maßnahmen. Bei Beschwerden der Gäste finden sie Lösungen, um die Kundenzufriedenheit wiederherzustellen.
## Tätigkeitsbezeichnungen
Rooms-Division-Manager/in
Berufsbezeichnung in englischer SpracheRooms Division Manager (m/f)
## Die Tätigkeit im Überblick
Rooms-Division-Manager und Rooms-Division-Managerinnen leiten den Beherbergungsbereich großer Hotels.
## Trends
Nachhaltige und umweltfreundliche HotellerieImmer mehr Gäste achten darauf, dass ihr Urlaub ökologisch verträglich, ressourcenschonend und umweltfreundlich ist. Sie wählen Hotels und andere Unterkünfte, die den Kriterien der Nachhaltigkeit entsprechen. Übernachtungsbetriebe versuchen deshalb, ihren Ressourcen- und Energieverbrauch zu reduzieren. Dazu gehören Maßnahmen wie z.B. eine gute Wärmedämmung der Gebäude, lokale und natürliche Baumaterialien, Strom aus nachhaltigen Energien oder Lebensmittel, die lokal angebaut und produziert werden. Fach- und Führungskräfte in Beherbergungsbetrieben werden sich auf diese Kundenbedürfnisse einstellen und einer nachhaltig orientierten Unternehmensstrategie folgen.
Hotellerie 4.0 - mehr als Onlinebuchungenglisch: Artificial Intelligence (AI)
Teilgebiet der Informatik, das Strukturen menschlicher Intelligenz untersucht, auf Computer überträgt und Programme für intelligente Problemlösungen entwickelt, z. B. Spracherkennung
" name="Künstliche Intelligenz (KI)">Künstliche Intelligenz (KI), Software-Dialogsysteme, mit denen Menschen per Texteingabe kommunizieren können. Chatbots werden zum Beispiel im Kundenservice eingesetzt, um Anfragen automatisiert und ohne direkten menschlichen Eingriff zu beantworten oder zu bearbeiten. Sie geben vordefinierte Antworten anhand von Schlüsselwörtern in der Anfrage (regelbasiert) oder setzen Sprachmodelle zur Auswertung der Anfragen und Generierung der Antworten ein (KI-basiert).
" name="Chatbots">Chatbots und Roboter gehören bereits zum Alltag vieler Hotels. Neue Technologien und Einsatzgebiete wie smarte Catering-Technik, digitale Gesichtserkennung und virtuelle Realität treten kontinuierlich hinzu. Beschäftigte in der Hotelbranche werden sich verstärkt mit diesen Entwicklungen und ihren Einsatzmöglichkeiten beschäftigen.
## Aufgaben und Tätigkeiten im Einzelnen
Arbeitsprozesse koordinieren
Arbeitsabläufe gemeinsam mit den Verantwortlichen der Abteilung (z.B. Empfang, Reservierung, Housekeeping) optimieren
Arbeitsdurchführung überwachen
Einhaltung hausinterner Qualitätsvorgaben sicherstellen
Personalaufgaben wahrnehmen
Personal für den Beherbergungsbereich auswählen
Mitarbeitende anleiten und schulen
Personaleinsatz- und Urlaubspläne erstellen
an der Etat, Haushaltsplan; Finanzplan für Einnahmen und Ausgaben
" name="Budget">Budgetplanung mitwirken, Ausgaben überwachen
verkaufsfördernde Maßnahmen entwickeln
ggf. Gästebeschwerden bearbeiten
## Arbeitsbereiche/Branchen
Rooms-Division-Manager und Rooms-Division-Managerinnen finden Beschäftigung in großen Hotels bzw. Ferienanlagen.

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# Market evidence report — rooms-division-manager
Source: **20 real job ads** (JSearch API, countries: us 20), extracted into the MSSQL evidence store; as of 2026-07-19.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 13 | 65 % |
| lead | 5 | 25 % |
| junior | 2 | 10 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Microsoft Excel | 4 | 20 % |
| 2 | Microsoft PowerPoint | 3 | 15 % |
| 3 | Microsoft Word | 3 | 15 % |
| 4 | Opera | 3 | 15 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | staff training | 5 | 25 % |
| 2 | budget management | 4 | 20 % |
| 3 | front office operations | 4 | 20 % |
| 4 | guest service | 4 | 20 % |
| 5 | budget development | 3 | 15 % |
| 6 | conflict resolution | 3 | 15 % |
| 7 | financial monitoring | 3 | 15 % |
| 8 | housekeeping management | 3 | 15 % |
| 9 | occupancy management | 3 | 15 % |
| 10 | performance management | 3 | 15 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | team leadership | 4 | 20 % |
| 2 | associate coaching | 3 | 15 % |
| 3 | incident log review | 3 | 15 % |
| 4 | inventory management | 3 | 15 % |
| 5 | staff scheduling | 3 | 15 % |
| 6 | staff training | 3 | 15 % |
## Regional breakdown
> **Corpus note:** 20 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
**Insufficient evidence** — 20 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### UK (gb)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### EU/DACH (de, at, ch, nl)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
## Job title variants in the market
| Title | Ads |
|---|---|
| Rooms Division Manager | 4 |
| Front Desk Manager | 2 |
| Front Office Manager | 2 |
| Head Receptionist (IMMEDIATE HIRING) | 2 |
| J1 - Management Trainee - Rooms Division (Assistant Front Office Manager) | 2 |
| Area Room Division Manager - Crowne Plaza Crystal City & Holiday Inn National Airport | 1 |
| Area Room Division Manager - Guest Experience & Ops | 1 |
| Director of Front Office | 1 |
| Director of Rooms | 1 |
| Front Office Rooms Manager - Waldorf Astoria D.C | 1 |
| Impact Team Director of Rooms | 1 |
| Internal Job Title Rooms Division Manager | 1 |
| Resort Rooms Division Lead - Guest Experience | 1 |
Methodology: entities extracted per ad ({hard_skills, tools, methods, responsibilities, seniority}), normalized, counted as DISTINCT ads per entity; report threshold ≥ 3 ads. Headline sections in skills.md/tools.md use the stricter ≥ 20 % threshold.

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# Occupation profile — rooms division manager
- **ESCO URI:** http://data.europa.eu/esco/occupation/02e19186-458f-40eb-9e78-31c656d12ac7
- **ESCO code:** 1411.3
- **ISCO-08 group:** 1411 — Hotel managers
## Description (ESCO)
Rooms division managers are in charge of managing and coordinating a team of employees at front desk, reservations, housekeeping and maintenance departments.
## Definition
nan
## Alternative labels
- head receptionist
- rooms and reservations manager
- front office manager
- rooms manager
- reception manager
- director of rooms
- front desk manager
- reservations manager

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# Competences — rooms division manager
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/02e19186-458f-40eb-9e78-31c656d12ac7).
## Essential
- **assess cleanliness of areas** (skill/competence)
- **assist at check-in** (skill/competence)
- **comply with food safety and hygiene** (skill/competence)
- **coordinate activities across hospitality rooms division** (skill/competence)
- **coordinate redecoration of hospitality establishment** (skill/competence)
- **develop working procedures** (skill/competence)
- **ensure cross-department cooperation** (skill/competence)
- **forecast occupancy demand** (skill/competence)
- **handle customer complaints** (skill/competence)
- **maintain customer service** (skill/competence)
- **manage budgets** (skill/competence)
- **manage front operations** (skill/competence)
- **manage health and safety standards** (skill/competence)
- **manage hospitality revenue** (skill/competence)
- **manage inspections of equipment** (skill/competence)
- **manage maintenance operations** (skill/competence)
- **manage staff** (skill/competence)
- **monitor financial accounts** (skill/competence)
- **plan shifts of employees** (skill/competence)
- **present reports** (skill/competence)
- **train reception staff** (skill/competence)
## Optional
- carry out end of day accounts (skill/competence)
- deal with arrivals in accommodation (skill/competence)
- deal with departures in accommodation (skill/competence)
- evaluate employees (skill/competence)
- greet guests (skill/competence)
- identify customer's needs (skill/competence)
- maintain customer records (skill/competence)
- monitor check-out point (skill/competence)
- monitor work for special events (skill/competence)
- process booking (skill/competence)
- process reservations (skill/competence)
- supervise housekeeping operations (skill/competence)
- train employees (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 20 ads, as of 2026-07-19)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- staff training — **25 %**
- budget management — **20 %**
- front office operations — **20 %**
- guest service — **20 %**
### Responsibilities
- team leadership — **20 %**
<!-- market-evidence -->

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# Tasks & work activities — rooms division manager
Source: O*NET 30.3, occupation 11-9081.00 (Lodging Managers) — manual nearest-occupation mapping via ISCO group 1411; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements
- **[Core]** Greet and register guests.
- **[Core]** Answer inquiries pertaining to hotel policies and services, and resolve occupants' complaints.
- **[Core]** Assign duties to workers, and schedule shifts.
- **[Core]** Coordinate front-office activities of hotels or motels, and resolve problems.
- **[Core]** Participate in financial activities, such as the setting of room rates, the establishment of budgets, and the allocation of funds to departments.
- **[Core]** Confer and cooperate with other managers to ensure coordination of hotel activities.
- **[Core]** Manage and maintain temporary or permanent lodging facilities.
- **[Core]** Observe and monitor staff performance to ensure efficient operations and adherence to facility's policies and procedures.
- **[Core]** Train staff members.
- **[Core]** Show, rent, or assign accommodations.
- **[Core]** Develop and implement policies and procedures for the operation of a department or establishment.
- **[Core]** Inspect guest rooms, public areas, and grounds for cleanliness and appearance.
- **[Core]** Prepare required paperwork pertaining to departmental functions.
- **[Core]** Interview and hire applicants.
- **[Core]** Purchase supplies, and arrange for outside services, such as deliveries, laundry, maintenance and repair, and trash collection.
- **[Core]** Arrange telephone answering services, deliver mail and packages, or answer questions regarding locations for eating and entertainment.
- **[Core]** Perform marketing and public relations activities.
- **[Core]** Organize and coordinate the work of staff and convention personnel for meetings to be held at a particular facility.
- **[Core]** Receive and process advance registration payments, mail letters of confirmation, or return checks when registrations cannot be accepted.
- **[Supplemental]** Meet with clients to schedule and plan details of conventions, banquets, receptions and other functions.
- **[Core]** Provide assistance to staff members by inspecting rooms, setting tables, or doing laundry.
- **[Supplemental]** Book tickets for guests for local tours and attractions.
- **[Core]** Monitor the revenue activity of the hotel or facility.
- **[Core]** Collect payments and record data pertaining to funds and expenditures.
## Detailed work activities
- Assign resources or facilities to patrons or employees.
- Collect payments for goods or services.
- Conduct employee training programs.
- Confer with organizational members to accomplish work activities.
- Coordinate operational activities with external stakeholders.
- Develop operating strategies, plans, or procedures.
- Develop organizational policies or programs.
- Direct administrative or support services.
- Document organizational or operational procedures.
- Evaluate employee performance.
- Guide patrons on tours.
- Hire personnel.
- Implement organizational process or policy changes.
- Inspect condition or functioning of facilities or equipment.
- Interview employees, customers, or others to collect information.
- Maintain operational records.
- Manage guest services.
- Manage organizational or project budgets.
- Monitor activities of individuals to ensure safety or compliance with rules.
- Monitor facilities or operational systems.
- Monitor flow of cash or other resources.
- Monitor performance of organizational members or partners.
- Perform manual service or maintenance tasks.
- Prepare staff schedules or work assignments.
- Promote products, services, or programs.
- Provide basic information to guests, visitors, or clients.
- Purchase materials, equipment, or other resources.
- Resolve customer complaints or problems.
- Schedule product or material transportation.

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# Tools & technology — rooms division manager
Source: O*NET 30.3, occupation 11-9081.00 (Lodging Managers) — manual nearest-occupation mapping via ISCO group 1411; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|
| Facebook | Web page creation and editing software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft Outlook | Electronic mail software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Word | Word processing software | yes |
| Anand Systems ASI FrontDesk | Facilities management software | |
| Delphi Technology | Financial analysis software | |
| Email software | Electronic mail software | |
| Enablez ResortSuite | Customer relationship management CRM software | |
| ePOS Business Solutions System 3 POS | Point of sale POS software | |
| Execu/Tech Systems HOTEL Premium | Facilities management software | |
| GraceSoft Easy InnKeeping Suite | Facilities management software | |
| Hotel management system software | Facilities management software | |
| Housekeeping management software | Facilities management software | |
| INN-Client Server Systems ICSS Atrium | Facilities management software | |
| iRez Systems Rezware XP7 | Facilities management software | |
| MICROS Systems OPERA Enterprise Solution OES | Facilities management software | |
| M-Tech Hotel Service Optimization System HotSOS | Facilities management software | |
| Oracle JD Edwards EnterpriseOne | Enterprise resource planning ERP software | |
| Payroll software | Time accounting software | |
| Property management system PMS software | Data base user interface and query software | |
| RedSky IT Entirety e-Booking | Facilities management software | |
| Silverbyte Systems Optima Property Management System PMS | Facilities management software | |
| TCS Hotel Software Guest Tracker | Facilities management software | |
| UniResMan | Facilities management software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 20 ads, as of 2026-07-19)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- Microsoft Excel — **20 %**
<!-- market-evidence -->