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second-hand-shop-manager/references/ai-skills.md
2026-08-14 16:40:02 +02:00

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External AI agent skills — second-hand-shop-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 (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
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

Source: wshobson/agents

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

Source: a5c-ai/babysitter

Skill Tier What it adds Upstream
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
translation-management adjacent Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. source
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

Source: alirezarezvani/claude-skills

Skill Tier What it adds Upstream
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

Source: basicmachines-co/basic-memory

Skill Tier What it adds Upstream
memory-onboarding core Guide someone new to Basic Memory through designing and building a complete personal knowledge system — interview them about what they want to track, propose a structure, build it with schemas and instruction notes, teach them to use it, … source
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

Source: brycewang-stanford/Auto-Empirical-Research-Skills

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

Source: Chachamaru127/claude-code-harness

Skill Tier What it adds Upstream
harness-plan-brief core Generate a Plan Brief HTML for non-engineer vibecoders before implementation starts. Searches harness-mem (project-only) for relevant past decisions, patterns, and Plans archive entries, then renders a single-file HTML artifact summarizing … source
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

Source: davepoon/buildwithclaude

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
googlesheets-automation adjacent 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
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

Source: davila7/claude-code-templates

Skill Tier What it adds Upstream
gptq core Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … source
quantizing-models-bitsandbytes core Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … source
optimizing-attention-flash core Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … source
unsloth core Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source
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
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

Source: foryourhealth111-pixel/Vibe-Skills

Skill Tier What it adds Upstream
unsloth core Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: giuseppe-trisciuoglio/developer-kit

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

Source: googleworkspace/cli

Skill Tier What it adds Upstream
recipe-log-deal-update adjacent Append a deal status update to a Google Sheets sales tracking spreadsheet. source
gws-calendar adjacent Google Calendar: Manage calendars and events. source

Source: indranilbanerjee/digital-marketing-pro

Skill Tier What it adds Upstream
qbr-plan adjacent Prepare a Quarterly Business Review. Use when: building QBR presentations, client performance reviews, or strategy updates. source

Source: jabrena/plinth

Skill Tier What it adds Upstream
161-java-profiling-detect adjacent Use when you need to set up Java application profiling to detect and measure performance issues — including trusted preinstalled async-profiler v4.x setup, problem-driven profiling (CPU, memory, threading, GC, I/O), interactive profiling … source
145-java-refactoring-high-performance adjacent Use when you need to refactor Java code for high performance — including memory/allocation reduction, CPU hot-path optimization, and syntax/API/control-flow improvements. This should trigger for requests such as Review Java code for high … source

Source: jeremylongshore/claude-code-plugins-plus-skills

Skill Tier What it adds Upstream
form-deck core Use when asked to design a pitch deck, presentation, or slide set. Examples: "design a pitch deck", "create a sales deck", "make a conference presentation", "build an investor deck", "help me present this to the board", "create slides for … source
finta-install-auth core Set up Finta fundraising CRM account and configure integrations. Use when onboarding to Finta, connecting email/calendar, or configuring investor pipeline automation. Trigger with phrases like "install finta", "setup finta", "finta … source
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
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
presentation-slide-outliner adjacent 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
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
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
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
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

Source: jezweb/claude-skills

Skill Tier What it adds Upstream
shopify-products adjacent Create and manage Shopify products via the Admin GraphQL API or CSV import. Workflow: gather data, choose method, execute, verify. Use whenever the user wants to add products to Shopify, bulk-import a catalog from CSV/spreadsheet/URL, … source
proposal-writer adjacent Write a client proposal, quote, scope of work, or engagement letter for a service business. Covers project understanding, scope, timeline, pricing presentation, and terms. Use whenever the user asks for a proposal, quote, project proposal, … source

Source: memvid/claude-brain

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
mind adjacent Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file source

Source: microsoft/skills

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

Source: mohitagw15856/pm-claude-skills

Skill Tier What it adds Upstream
lifecycle-crm-plan core 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
docs-quickstart core Write a 'get started in 5 minutes' quickstart for a tool, library, or API. Use when asked to write a quickstart, getting-started guide, or onboarding docs for developers. Produces a copy-paste-friendly quickstart that takes a developer … source
win-loss-analysis adjacent Analyze why deals are won and lost and turn it into an action plan. Use when asked to run a win/loss analysis, review closed-won and closed-lost deals, understand why the team is losing to a competitor, or summarize sales feedback into … source
slide-deck adjacent Build a real, editable PowerPoint (.pptx) deck from an outline or brief. Use when asked to make a slide deck, a PowerPoint, a pitch/board/sales deck as an actual file, or to turn a doc/notes into slides. Produces an actual .pptx via a … source
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

Source: mukul975/Anthropic-Cybersecurity-Skills

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
implementing-memory-protection-with-dep-aslr adjacent Implements memory protection mechanisms including DEP (Data Execution Prevention), ASLR (Address Space Layout Randomization), CFG (Control Flow Guard), and other exploit mitigations to prevent memory corruption attacks. Use when hardening … source

Source: nexscope-ai/eCommerce-Skills

Skill Tier What it adds Upstream
ecommerce-content-marketing adjacent 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

Source: nexu-io/open-design

Skill Tier What it adds Upstream
pptx core Read, generate, and adjust PowerPoint slides, layouts, and templates. Useful for executive decks, training material, and product reviews. source
deck-guizang-editorial core Open Design's FY26 marketing plan: brand-to-pipeline — audience, offer, channel mix, and the launch calendar that ties creative to growth. Built as a decision-grade marketing & GTM deck for CMO, growth lead, founder. source
slides adjacent Create and edit .pptx presentation decks with PptxGenJS. Useful for sales decks, kickoff briefs, and design-system showcases. source

Source: OpenRaiser/NanoResearch

Skill Tier What it adds Upstream
unsloth core Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: Orchestra-Research/AI-research-SKILLs

Skill Tier What it adds Upstream
gptq core Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … source
quantizing-models-bitsandbytes core Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … source
pytorch-fsdp2 core Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with … source
optimizing-attention-flash core Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … source
unsloth core Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source

Source: OthmanAdi/langsmith-fetch-skill

Skill Tier What it adds Upstream
langsmith-fetch adjacent Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. … source

Source: rohitg00/skillkit

Skill Tier What it adds Upstream
handoff-protocols core Manages work transitions between team members or agents by creating structured handoff documents, summarizing project status, documenting key decisions, blockers, and open questions, and generating onboarding briefs. Use when someone needs … source

Source: ruvnet/claude-code-flow

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
rvf-manage adjacent Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer source
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

Source: ruvnet/ruflo

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
rvf-manage adjacent Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer source
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

Source: samber/cc-skills-golang

Skill Tier What it adds Upstream
golang-security core 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
golang-benchmark core Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI … source
golang-performance adjacent Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks … source

Source: sanjay3290/ai-skills

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
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

Source: silverstein/minutes

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

Source: vibeeval/vibecosystem

Skill Tier What it adds Upstream
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
content-strategy adjacent Content marketing strategy - content audit, editorial calendar, SEO optimization, content funnel (TOFU/MOFU/BOFU), performance metrics, developer content, social media planning source

Source: zechenzhangAGI/AI-research-SKILLs

Skill Tier What it adds Upstream
gptq core Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs … source
quantizing-models-bitsandbytes core Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit … source
pytorch-fsdp2 core Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with … source
optimizing-attention-flash core Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster … source
unsloth core Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization source