feat: hospitality-establishment-receptionist skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 19:14:24 +02:00
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# Data provenance — hospitality-establishment-receptionist
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 — hospitality-establishment-receptionist
"ESCO (occupation & competences)" : 32
"O*NET (tasks & tools)" : 50
"Job boards (market evidence)" : 69
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 168
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 32 | 9.9 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 50 | 15.4 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 69 | 21.3 % | 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) | 168 | 51.9 % | 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: hospitality-establishment-receptionist
description: "Occupational skill for the role 'hospitality establishment receptionist' (also: reception worker, reservations clerk, hotel receptionist, reception assistant, reception area clerk). Use when the user asks for typical hospitality establishment receptionist work such as: Assign patrons to tables suitable for their needs and according to rotation so that servers receive an appropriate number of seatings.; Speak with patrons to ensure satisfaction with food and service, to respond to complaints, or to make conversation.; Answer telephone calls and respond to inquiries or transfer calls."
---
# Hospitality Establishment Receptionist
Hospitality establishment receptionists provide first point of contact and assistance to the guests of a hospitality establishment. They are also responsible for taking bookings, processing payments and giving information.
## Core workflow
1. Assign patrons to tables suitable for their needs and according to rotation so that servers receive an appropriate number of seatings.
2. Speak with patrons to ensure satisfaction with food and service, to respond to complaints, or to make conversation.
3. Answer telephone calls and respond to inquiries or transfer calls.
4. Inspect dining and serving areas to ensure cleanliness and proper setup.
5. Inspect restrooms for cleanliness and availability of supplies, and clean restrooms when necessary.
6. Take and prepare to-go orders.
7. Assist other restaurant workers by serving food and beverages, or by bussing tables.
8. Provide guests with menus.
## 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)
- assist at check-in
- assist clients with special needs
- comply with food safety and hygiene
- deal with arrivals in accommodation
- deal with departures in accommodation
- explain features in accommodation venue
- greet guests
- handle customer complaints
- handle financial transactions
- handover the service area
- identify customer's needs
- implement marketing strategies
- implement sales strategies
- maintain customer records
- maintain customer service
## Hot technologies
- Microsoft Office software
- Microsoft Windows
- Microsoft Excel
- Facebook
<!-- hot-tech -->
## Hot technologies
Top tools from 46 gated job ads (see references/market.md, as of 2026-07-12):
- Microsoft Office — 13 %
- Microsoft Excel — 9 %
- Microsoft Outlook — 7 %
- Microsoft Word — 7 %
<!-- hot-tech -->
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/82025c02-9082-416c-998b-f51eb0359ee6), O*NET 30.3 (35-9031.00). See manifest.json for licensing/attribution.*

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{
"name": "hospitality-establishment-receptionist",
"title": "hospitality establishment receptionist",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/82025c02-9082-416c-998b-f51eb0359ee6",
"esco_code": "4224.1",
"isco_group": "4224",
"onet_soc": "35-9031.00",
"crosswalk_match": "closeMatch"
},
"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": 20,
"dwas": 19,
"skills_essential": 20,
"skills_optional": 11,
"software": 10
},
"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
},
"ruvnet/claude-code-flow": {
"repo": "https://github.com/ruvnet/claude-code-flow",
"commit": "73914bd",
"license": "MIT",
"skills": 4
},
"ruvnet/ruflo": {
"repo": "https://github.com/ruvnet/ruflo",
"commit": "73914bd",
"license": "MIT",
"skills": 4
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 4
},
"nexscope-ai/eCommerce-Skills": {
"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
"commit": "56f3288",
"license": "MIT",
"skills": 3
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 8
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 4
},
"gooseworks-ai/goose-skills": {
"repo": "https://github.com/gooseworks-ai/goose-skills",
"commit": "94ec916",
"license": "no explicit license \u2014 referenced by link only",
"skills": 3
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 6
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 7
},
"rockscy/solo-skills": {
"repo": "https://github.com/rockscy/solo-skills",
"commit": "80ec4cf",
"license": "MIT",
"skills": 3
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"raintree-technology/apple-hig-skills": {
"repo": "https://github.com/raintree-technology/apple-hig-skills",
"commit": "431fd30",
"license": "MIT",
"skills": 1
},
"pedrohcgs/claude-code-my-workflow": {
"repo": "https://github.com/pedrohcgs/claude-code-my-workflow",
"commit": "be53c12",
"license": "MIT",
"skills": 1
},
"giuseppe-trisciuoglio/developer-kit": {
"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
"commit": "306f428",
"license": "MIT",
"skills": 1
},
"robertguss/claude-skills": {
"repo": "https://github.com/robertguss/claude-skills",
"commit": "c31f3be",
"license": "MIT",
"skills": 1
},
"jabrena/plinth": {
"repo": "https://github.com/jabrena/plinth",
"commit": "065eae8",
"license": "Apache-2.0",
"skills": 2
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 2
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 7
},
"infrasity-labs/dev-gtm-claude-skills": {
"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
"commit": "02cfefb",
"license": "MIT",
"skills": 1
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 3
},
"samber/cc-skills-golang": {
"repo": "https://github.com/samber/cc-skills-golang",
"commit": "4881c01",
"license": "MIT",
"skills": 1
},
"parcadei/Continuous-Claude-v3": {
"repo": "https://github.com/parcadei/Continuous-Claude-v3",
"commit": "d07ff4b",
"license": "MIT",
"skills": 1
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 2
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 1
},
"activeloopai/hivemind": {
"repo": "https://github.com/activeloopai/hivemind",
"commit": "abd3771",
"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
},
"microsoft/skills": {
"repo": "https://github.com/microsoft/skills",
"commit": "dc543aa",
"license": "MIT",
"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
}
},
"total_skills": 80,
"tiers": {
"core": 24,
"adjacent": 56
}
},
"provenance": {
"items": {
"esco": 32,
"onet": 50,
"jobads": 69,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 168,
"stackx": 0
},
"share_percent": {
"esco": 9.9,
"onet": 15.4,
"jobads": 21.3,
"wiki_ai": 0.0,
"anthropic": 1.5,
"ai_skills": 51.9,
"stackx": 0.0
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"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — hospitality-establishment-receptionist
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 |
|---|---|---|---|
| `file-conversion` | adjacent | Convert files between formats — PDF to Word, HEIC to JPG, MP4 to MP3, CSV to JSON, EPUB to MOBI, and 999 total routes across images, video, audio, documents, data, fonts, ebooks, and archives. Free via changethisfile.com, no API key or … | [source](https://github.com/wshobson/agents/tree/main/plugins/file-conversion/skills/file-conversion) |
## 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) |
| `unified-memory` | core | Expert skill for CUDA Unified Memory and memory prefetching optimization. Configure managed memory allocations, implement memory prefetch strategies, handle page fault analysis, configure memory hints and advise, profile unified memory … | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/unified-memory) |
| `Customer Feedback Aggregation` | adjacent | Aggregate and analyze customer feedback from multiple sources for product insights | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/product-management/skills/feedback-aggregation) |
| `context-engineering` | adjacent | 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) |
## Source: activeloopai/hivemind
- Repository: [https://github.com/activeloopai/hivemind](https://github.com/activeloopai/hivemind) (commit `abd3771`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `hivemind` | adjacent | Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information. | [source](https://github.com/activeloopai/hivemind/tree/abd3771/harnesses/openclaw/skills) |
| `hivemind-memory` | adjacent | Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information. | [source](https://github.com/activeloopai/hivemind/tree/abd3771/harnesses/claude-code/skills/hivemind-memory) |
## 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) |
| `autonomous-agent-harness` | core | Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/autonomous-agent-harness) |
| `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) |
| `logistics-exception-management` | adjacent | Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/logistics-exception-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 |
|---|---|---|---|
| `cross-eval` | adjacent | /cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation. Use when a high-stakes memo needs an independent sanity check before the boardroom — e.g. a … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/c-level-agents/skills/cross-eval) |
| `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) |
## 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) |
## 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: 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 |
|---|---|---|---|
| `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) |
## 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 |
|---|---|---|---|
| `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) |
| `it-operations` | adjacent | 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) |
| `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) |
| `ai-agents-architect` | adjacent | Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/ai-agents-architect) |
| `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) |
| `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) |
## 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: gooseworks-ai/goose-skills
- Repository: [https://github.com/gooseworks-ai/goose-skills](https://github.com/gooseworks-ai/goose-skills) (commit `94ec916`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ad-angle-miner` | core | Mine the highest-converting ad angles from customer reviews, Reddit complaints, support tickets, and competitor ads. Extracts actual pain language, competitor weaknesses, and outcome phrases that real buyers use. Outputs a ranked angle … | [source](https://github.com/gooseworks-ai/goose-skills/tree/94ec916/skills/ads/composites/ad-angle-miner) |
| `customer-story-builder` | adjacent | Take raw customer inputs — interview transcripts, survey responses, Slack quotes, support tickets, review excerpts — and generate a structured case study draft with problem/solution/result narrative, pull-quotes, metric callouts, and … | [source](https://github.com/gooseworks-ai/goose-skills/tree/94ec916/skills/content/composites/customer-story-builder) |
| `voice-of-customer-synthesizer` | adjacent | Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and … | [source](https://github.com/gooseworks-ai/goose-skills/tree/94ec916/skills/research/composites/voice-of-customer-synthesizer) |
## Source: infrasity-labs/dev-gtm-claude-skills
- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `customer-research` | adjacent | When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/customer-research) |
## Source: jabrena/plinth
- Repository: [https://github.com/jabrena/plinth](https://github.com/jabrena/plinth) (commit `065eae8`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `804-regulations-eu-nis2` | adjacent | Use when reviewing, designing, or modifying Java enterprise systems that may support essential or important entities, critical-sector services, managed service providers, supply-chain dependencies, or cybersecurity incident escalation … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/804-regulations-eu-nis2) |
| `807-regulations-eu-digital-services-act` | adjacent | Use when reviewing, designing, or modifying Java enterprise systems that may support intermediary services, hosting services, online platforms, marketplaces, content moderation, recommender systems, advertising delivery, complaint … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/807-regulations-eu-digital-services-act) |
## 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 |
|---|---|---|---|
| `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) |
| `customerio-debug-bundle` | adjacent | Collect Customer.io debug evidence for support tickets. Use when creating support requests, investigating delivery failures, or documenting integration issues. Trigger: "customer.io debug", "customer.io support ticket", "collect … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/customerio-pack/skills/customerio-debug-bundle) |
| `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) |
| `apify-cost-tuning` | adjacent | 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) |
| `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) |
| `echo` | adjacent | User researcher — interviews, personas, Jobs-to-Be-Done, and customer feedback synthesis. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/echo) |
| `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) |
## 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 |
|---|---|---|---|
| `apology-letter` | core | Write a sincere, effective apology to a customer, group, or the public. Use when asked to write an apology, say sorry to a customer or community, make amends after a mistake, or respond to a complaint with an apology. Produces a genuine … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-crisis/skills/apology-letter) |
| `complaint-letter` | core | Write a firm, effective complaint letter that gets a resolution. Use when asked to write a complaint letter, complain to a company about a product/service, escalate poor service, or demand a refund/replacement. Produces a structured … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-lifeadmin/skills/complaint-letter) |
| `help-center-article` | core | Write a help-center / knowledge-base article that actually resolves the issue and deflects tickets. Use when asked to write a help doc, KB article, FAQ entry, how-to, or support documentation. Produces a findable, skimmable article — … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-support/skills/help-center-article) |
| `oncall-runbook` | adjacent | Write an on-call runbook for a service — covering alert definitions, escalation paths, common incident responses, and on-call handoff procedures. Use when asked to write an on-call guide, create alert runbooks, document escalation … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-engineering/skills/oncall-runbook) |
| `voice-of-customer-program` | adjacent | Stand up a Voice of Customer (VoC) program that turns feedback into action. Use when asked to build a VoC program, design a customer feedback loop, consolidate feedback sources, or set up a closed-loop feedback process. Produces a VoC … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-pmm/skills/voice-of-customer-program) |
| `kyc-escalation` | adjacent | Write an internal KYC/AML escalation memo: a factual time-stamped trigger description, customer-profile vs activity mismatch analysis, red-flag taxonomy mapping, outstanding information, and a recommendation with rationale. Use when asked … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-banking/skills/kyc-escalation) |
| `lifecycle-crm-plan` | adjacent | Design lifecycle marketing / CRM journeys across the customer lifecycle. Use when asked to plan onboarding emails, lifecycle/CRM campaigns, drip sequences, re-engagement or winback flows, or a messaging calendar. Produces a lifecycle plan … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-growth/skills/lifecycle-crm-plan) |
## 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) |
| `implementing-ticketing-system-for-incidents` | core | Implements an integrated incident ticketing system connecting SIEM alerts to ServiceNow, Jira, or TheHive for structured incident tracking, SLA management, escalation workflows, and compliance documentation. Use when SOC teams need … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/implementing-ticketing-system-for-incidents) |
| `detecting-azure-service-principal-abuse` | adjacent | Detect and investigate Azure service principal abuse including privilege escalation, credential compromise, admin consent bypass, and unauthorized enumeration in Microsoft Entra ID environments. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-azure-service-principal-abuse) |
| `analyzing-linux-kernel-rootkits` | adjacent | Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-linux-kernel-rootkits) |
| `performing-privilege-escalation-assessment` | adjacent | Performs privilege escalation assessments on compromised Linux and Windows systems to identify paths from low-privilege access to root or SYSTEM-level control. The tester enumerates misconfigurations, vulnerable services, kernel exploits, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-privilege-escalation-assessment) |
| `testing-mobile-api-authentication` | adjacent | Tests authentication and authorization mechanisms in mobile application APIs to identify broken authentication, insecure token management, session fixation, privilege escalation, and IDOR vulnerabilities. Use when performing API security … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/testing-mobile-api-authentication) |
| `detecting-azure-lateral-movement` | adjacent | Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation, token theft, and cross-tenant pivoting. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-azure-lateral-movement) |
| `detecting-rootkit-activity` | adjacent | Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, hidden files, and covert network connections using memory forensics, cross-view detection, and integrity … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-rootkit-activity) |
## Source: nexscope-ai/eCommerce-Skills
- Repository: [https://github.com/nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills) (commit `56f3288`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `tiktok-shop-customer-service` | core | Customer service on TikTok Shop — response time, dispute resolution, auto-replies, buyer satisfaction | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/tiktok-shop-customer-service) |
| `ecommerce-content-marketing` | core | E-commerce content marketing strategy planner. Generates content calendars, topic ideas, and platform-specific strategies by analyzing customer reviews, trends, competitor content, and SEO opportunities. Two modes: (A) Build — create a … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/ecommerce-content-marketing) |
| `ecommerce-social-media-marketing` | core | Social media marketing strategy for ecommerce brands. Content calendar planning, platform-specific strategies, social commerce optimization, influencer collaboration, and community building. Use when the user asks about social media … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/ecommerce-social-media-marketing) |
## 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: parcadei/Continuous-Claude-v3
- Repository: [https://github.com/parcadei/Continuous-Claude-v3](https://github.com/parcadei/Continuous-Claude-v3) (commit `d07ff4b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `mot` | adjacent | System health check (MOT) for skills, agents, hooks, and memory | [source](https://github.com/parcadei/Continuous-Claude-v3/tree/d07ff4b/.claude/skills/mot) |
## Source: pedrohcgs/claude-code-my-workflow
- Repository: [https://github.com/pedrohcgs/claude-code-my-workflow](https://github.com/pedrohcgs/claude-code-my-workflow) (commit `be53c12`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `promote-memory` | core | Review candidate `[LEARN]` entries in `.claude/state/personal-memory.md` (gitignored) and run them through a five-critic council in parallel: generality, staleness, redundancy, evidence, format. Majority vote (3+ of 5) promotes the entry … | [source](https://github.com/pedrohcgs/claude-code-my-workflow/tree/be53c12/.claude/skills/promote-memory) |
## Source: raintree-technology/apple-hig-skills
- Repository: [https://github.com/raintree-technology/apple-hig-skills](https://github.com/raintree-technology/apple-hig-skills) (commit `431fd30`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `hig-components-dialogs` | core | Apple HIG guidance for presentation components including alerts, action sheets, popovers, sheets, and digit entry views. Use this skill when the user says "should I use an alert or a sheet," "how do I show a confirmation dialog," "when … | [source](https://github.com/raintree-technology/apple-hig-skills/tree/431fd30/skills/hig-components-dialogs) |
## Source: rampstackco/claude-skills
- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `discovery-research-synthesis` | adjacent | Turning research artifacts into actionable PM insight. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the decisions they are meant to inform. The … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/discovery-research-synthesis) |
| `user-feedback-aggregation` | adjacent | Collecting and synthesizing user feedback across channels (support tickets, NPS, in-app feedback, sales calls, social mentions, customer councils) into a continuous signal that informs product decisions. The triage discipline that … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/user-feedback-aggregation) |
## Source: robertguss/claude-skills
- Repository: [https://github.com/robertguss/claude-skills](https://github.com/robertguss/claude-skills) (commit `c31f3be`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `app-review-analyzer` | adjacent | Systematically analyze app reviews for competitor research or own-app reputation management. Categorize reviews by sentiment and themes (bugs, missing features, UX complaints, pricing objections, praise, support issues), identify … | [source](https://github.com/robertguss/claude-skills/tree/c31f3be/skills/mobile-app-dev/app-review-analyzer) |
## Source: rockscy/solo-skills
- Repository: [https://github.com/rockscy/solo-skills](https://github.com/rockscy/solo-skills) (commit `80ec4cf`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `bug-from-user` | core | Convert a vague user complaint into a reproducible bug report a solo dev can act on. Use when the user pastes a confusing customer message, says "user says it's broken but I can't repro", "this email makes no sense", or wants to triage a … | [source](https://github.com/rockscy/solo-skills/tree/80ec4cf/skills/bug-from-user) |
| `email-customer` | core | Draft a polite-but-firm reply to a tricky customer email — refund request, scope creep, complaint, billing dispute. Use when the user pastes a customer email and asks for a reply, mentions "how do I respond", "user is asking for a refund", … | [source](https://github.com/rockscy/solo-skills/tree/80ec4cf/skills/email-customer) |
| `changelog-from-commits` | core | Generate a user-facing CHANGELOG entry from raw git log output. Use when the user is preparing a release, says "what changed since last version", asks to write release notes, or wants to summarize a batch of commits for end users. | [source](https://github.com/rockscy/solo-skills/tree/80ec4cf/skills/changelog-from-commits) |
## 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 |
|---|---|---|---|
| `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) |
| `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) |
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
## Source: ruvnet/ruflo
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `AgentDB Memory Patterns` | core | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
| `memory-management` | core | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/memory-management) |
| `V3 Memory Unification` | adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/v3-memory-unification) |
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$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) |
## 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: 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 |
|---|---|---|---|
| `mot` | adjacent | System health check (MOT) for skills, agents, hooks, and memory | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/mot) |
| `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: 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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# Market evidence report — hospitality-establishment-receptionist
Source: **46 real job ads** (JSearch API, countries: gb 25, us 21), extracted into the MSSQL evidence store; as of 2026-07-12.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| n/a | 23 | 50 % |
| mid | 16 | 35 % |
| junior | 7 | 15 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Microsoft Office | 6 | 13 % |
| 2 | Microsoft Excel | 4 | 9 % |
| 3 | Microsoft Outlook | 3 | 7 % |
| 4 | Microsoft Word | 3 | 7 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | customer service | 21 | 46 % |
| 2 | reservation management | 13 | 28 % |
| 3 | guest communication | 9 | 20 % |
| 4 | guest service | 8 | 17 % |
| 5 | cash handling | 6 | 13 % |
| 6 | problem solving | 6 | 13 % |
| 7 | data entry | 5 | 11 % |
| 8 | payment processing | 5 | 11 % |
| 9 | record keeping | 5 | 11 % |
| 10 | guest check-in | 4 | 9 % |
| 11 | booking management | 3 | 7 % |
| 12 | check-out procedures | 3 | 7 % |
| 13 | complaint resolution | 3 | 7 % |
| 14 | customer complaint resolution | 3 | 7 % |
| 15 | guest check-out | 3 | 7 % |
| 16 | guest registration | 3 | 7 % |
| 17 | reservations management | 3 | 7 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | guest check-in | 14 | 30 % |
| 2 | guest check-out | 14 | 30 % |
| 3 | guest communication | 8 | 17 % |
| 4 | complaint resolution | 4 | 9 % |
| 5 | greeting guests | 4 | 9 % |
| 6 | guest welcoming | 4 | 9 % |
| 7 | information provision | 4 | 9 % |
| 8 | housekeeping coordination | 3 | 7 % |
| 9 | payment processing | 3 | 7 % |
## Regional breakdown
> **Corpus note:** 46 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** — 21 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### UK (gb)
**Insufficient evidence** — 25 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 |
|---|---|
| Hotel Receptionist | 6 |
| Hotel Front Desk Agent | 4 |
| Front Desk Hospitality Agent | 2 |
| Day Receptionist | 1 |
| Front Desk | 1 |
| Front Desk Agent | 1 |
| Front Desk Agent - Full Time | 1 |
| Front Desk Agent - Night Auditor Back Up | 1 |
| Front Desk Agent - Quick Hire! | 1 |
| Front Desk Associate - Quick Hire! | 1 |
| Front Desk Receptionist - Part Time | 1 |
| Front Desk Receptionist FULL TIME & PART TIME | 1 |
| Guest Service Agent / Front Desk Agent | 1 |
| Host/FOH Team Member/Senior Receptionist | 1 |
| Hotel Front Desk | 1 |
| Hotel Front Desk Agent (Part-Time) - Quick Hire! | 1 |
| Hotel Front Desk Associate - Quick Hire! | 1 |
| Hotel Front Desk Receptionist (evening shift) | 1 |
| Hotel Reception Supervisor | 1 |
| Hotel Receptionist — Check-In & Guest Care | 1 |
| Hotel Receptionist at 27 on Park Hotel & Venue Dahlonega, GA | 1 |
| Hotel Receptionist Part Time and full time | 1 |
| Night Receptionist | 1 |
| Office Assistant-Receptionist | 1 |
| Part time Front Desk Receptionist | 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 — hospitality establishment receptionist
- **ESCO URI:** http://data.europa.eu/esco/occupation/82025c02-9082-416c-998b-f51eb0359ee6
- **ESCO code:** 4224.1
- **ISCO-08 group:** 4224 — Hotel receptionists
- **O*NET-SOC:** 35-9031.00 — Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop (match: closeMatch)
## Description (ESCO)
Hospitality establishment receptionists provide first point of contact and assistance to the guests of a hospitality establishment. They are also responsible for taking bookings, processing payments and giving information.
## Definition
nan
## Alternative labels
- reception worker
- reservations clerk
- hotel receptionist
- reception assistant
- reception area clerk

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# Competences — hospitality establishment receptionist
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/82025c02-9082-416c-998b-f51eb0359ee6).
## Essential
- **assist at check-in** (skill/competence)
- **assist clients with special needs** (skill/competence)
- **comply with food safety and hygiene** (skill/competence)
- **deal with arrivals in accommodation** (skill/competence)
- **deal with departures in accommodation** (skill/competence)
- **explain features in accommodation venue** (skill/competence)
- **greet guests** (skill/competence)
- **handle customer complaints** (skill/competence)
- **handle financial transactions** (skill/competence)
- **handover the service area** (skill/competence)
- **identify customer's needs** (skill/competence)
- **implement marketing strategies** (skill/competence)
- **implement sales strategies** (skill/competence)
- **maintain customer records** (skill/competence)
- **maintain customer service** (skill/competence)
- **maintain reception area** (skill/competence)
- **maintain relationship with customers** (skill/competence)
- **process booking** (skill/competence)
- **process payments** (skill/competence)
- **provide tourism related information** (skill/competence)
## Optional
- assess cleanliness of areas (skill/competence)
- carry out end of day accounts (skill/competence)
- detect drug abuse (skill/competence)
- distribute local information materials (skill/competence)
- ensure the privacy of guests (skill/competence)
- maintain incident reporting records (skill/competence)
- process reservations (skill/competence)
- property management software (knowledge)
- take room service orders (skill/competence)
- tend to clients' personal items (skill/competence)
- train reception staff (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 46 ads, as of 2026-07-12)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- customer service — **46 %**
- reservation management — **28 %**
- guest communication — **20 %**
### Responsibilities
- guest check-in — **30 %**
- guest check-out — **30 %**
<!-- market-evidence -->

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# Tasks & work activities — hospitality establishment receptionist
Source: O*NET 30.3, occupation 35-9031.00 (Hosts and Hostesses, Restaurant, Lounge, and Coffee Shop).
## Task statements
- **[Core]** Assign patrons to tables suitable for their needs and according to rotation so that servers receive an appropriate number of seatings.
- **[Core]** Speak with patrons to ensure satisfaction with food and service, to respond to complaints, or to make conversation.
- **[Core]** Answer telephone calls and respond to inquiries or transfer calls.
- **[Core]** Inspect dining and serving areas to ensure cleanliness and proper setup.
- **[Core]** Inspect restrooms for cleanliness and availability of supplies, and clean restrooms when necessary.
- **[Core]** Take and prepare to-go orders.
- **[Core]** Assist other restaurant workers by serving food and beverages, or by bussing tables.
- **[Core]** Provide guests with menus.
- **[Core]** Greet guests and seat them at tables or in waiting areas.
- **[Core]** Receive and record patrons' dining reservations.
- **[Core]** Maintain contact with kitchen staff, management, serving staff, and customers to ensure that dining details are handled properly and customers' concerns are addressed.
- **[Core]** Inform patrons of establishment specialties and features.
- **[Core]** Supervise and coordinate activities of dining room staff to ensure that patrons receive prompt and courteous service.
- **[Supplemental]** Direct patrons to coatrooms and waiting areas, such as lounges.
- **[Supplemental]** Operate cash registers to accept payments for food and beverages.
- **[Supplemental]** Prepare cash receipts after establishments close, and make bank deposits.
- **[Supplemental]** Order or requisition supplies and equipment for tables and serving stations.
- **[Supplemental]** Hire, train, and supervise food and beverage service staff.
- **[Supplemental]** Confer with other staff to help plan establishments' menus.
- **[Supplemental]** Perform marketing and advertising services.
## Detailed work activities
- Assist chefs or caterers with food or drink preparation.
- Assist customers with seating arrangements.
- Communicate dining or order details to kitchen personnel.
- Communicate with customers to resolve complaints or ensure satisfaction.
- Coordinate activities of food service staff.
- Inspect facilities, equipment or supplies to ensure conformance to standards.
- Manage food service operations or parts of operations.
- Operate cash registers.
- Order materials, supplies, or equipment.
- Package food or supplies.
- Perform human resources activities.
- Plan menu options.
- Present food or beverage information or menus to customers.
- Process customer bills or payments.
- Provide customers with general information or assistance.
- Record operational or production data.
- Schedule dining reservations.
- Take customer orders.
- Train food preparation or food service personnel.

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# Tools & technology — hospitality establishment receptionist
Source: O*NET 30.3 'Software Skills' for 35-9031.00.
| Software | Category | Hot technology |
|---|---|---|
| Microsoft Office software | Office suite software | yes |
| Microsoft Windows | Operating system software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Facebook | Web page creation and editing software | yes |
| iMagic Restaurant Reservation | Calendar and scheduling software | |
| Avenista Table Reservations | Data base user interface and query software | |
| GuestBridge Reserve | Data base user interface and query software | |
| OpenTable | Data base user interface and query software | |
| Reservation software | Data base user interface and query software | |
| Hospitality Control Solutions Aloha Point-of-Sale | Point of sale POS software | |