Improve and rewrite user prompts to reduce ambiguity and improve LLM output quality. Use when a user asks to optimize, refine, clarify, or rewrite a prompt for better results, or…
Expert prompt engineering skill that transforms Claude into "Alpha-Prompt" - a master prompt engineer who collaboratively crafts high-quality prompts through flexible dialogue.
Analyse et améliore un prompt existant pour obtenir de meilleurs résultats avec un LLM. À utiliser quand l'utilisateur a un prompt qui ne donne pas les résultats voulus o — from…
A/B test CLAUDE.md instruction changes against eval benchmarks. Capture baselines, test variants, compare results. — from majiayu000/claude-skill-registry
A/B test CLAUDE.md instruction changes against eval benchmarks. Capture baselines, test variants, compare results. — from majiayu000/claude-skill-registry
Use when a draft prompt, instruction set, or agent skill description needs refinement, clarity, or improved performance.
Use when shareholders or their counsel need to draft or negotiate the key terms of a shareholders' agreement, covering governance, board composition, reserved matters, transfer…
Use when drafting a full shareholders' agreement for a company with multiple shareholders, covering board composition, reserved matters, share transfer restrictions (ROFR,…
Comprehensive reference for prompt engineering patterns and techniques. 提示工程模式與技術全覽。 Use when: selecting prompting strategy, applying zero/few-shot or CoT patterns, structuring…
Flags prompt-engineering bugs in user-supplied prompts without rewriting them. Use when the user says "lint my prompt", "review this prompt", "improve this prompt", "what's wrong…
Conçoit des system prompts robustes pour applications, agents IA ou chatbots personnalisés. À utiliser quand l'utilisateur développe un chatbot, un agent ou une app utili — from…
Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.
Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.
Optimisation systématique des prompts d'agents pour améliorer performance et fiabilité. Se déclenche avec "optimiser prompt agent", "agent prompt", "améliorer mon agent" — from…
Methodology for iteratively improving agent-facing instructions (skills / slash commands / CLAUDE.md / code-gen prompts) by having a bias-free executor run them and evaluating…
prompting_skill — Best Practices für Prompt-Engineering mit aktuellen Claude-Modellen. Trigger: Prompt schreiben/optimieren.
Preuve d'usage : un sous-agent vérificateur indépendant pilote la vraie app (agent-browser / curl / binaire CLI), compare observé vs attendu et capture les preuves — la PR…
Agent governance skill for MCP tool calls — Cedar policy authoring, shadow-to-enforce rollout, and Ed25519 receipt verification.
Equip your agents to explore real human social spaces, engage meaningfully, and learn from authentic interactions, so when they return to places like Moltbook, they come back…
Use SkillForge to triage, create, test, review, compile, and maintain Claude Code and Codex-ready skills with baseline failures and regression evals.
Track and maintain the upstream Mistral Vibe CLI contract. Use when Mistral ships a Vibe release, when a `vibe` flag/agent-mode/output-format/session-logging/env-model behaviour…
Provision an agent filesystem and shell workspace with isolation and free-boundary honesty.
Audita, clasifica y elimina selectivamente memorias almacenadas. Cubre la enumeración y clasificación de memorias por tipo/antigüedad/frecuencia de acceso, detección de…
Close out a launched Claude Managed Agent — recap every primitive the founder now owns, regenerate the single-file overview page, and suggest the.
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, o — from…
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, o — from…
High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, o — from…
AI agent integration layer for the Pump SDK — agent instruction files, .well-known discovery, LLM context documents, 15+ skill files, MCP server prompts, and terminal management…
Model Context Protocol server exposing 53 tools, 3 resource types, and 3 prompts for AI agent consumption — quoting, building transactions, fee management, analytics, AMM…
Operate Puppetmaster multi-agent orchestrator via MCP verbs (edit, swarm, implement, route, monitor).
Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLM — from…
Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLM — from…
Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLM — from…
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, protein quantification, and complex LC-MS/MS pipelin — from…
Turn Claude Code into an autonomous QA agent — an explore, generate, run, heal, report loop that maps the app, writes tests for real user journeys, executes them, self-heals…
Use when asked to quickly create a QA agent for an API from project rules, reusable prompts, skills, memory/context files, evals, test harnesses, and guardrails.
Run an agent-driven QA pass against a PR preview URL using the kmikeym v0.01m SOP. Drives chrome-devtools MCP through cold sign-up, first prompt, in-app exploration, edit/theme…
Use when building the walkthrough report — spawning agentic-qa:qa-reporter just before agentic-qa:step-executor to write a live, incrementally-updated report and render the…
Run QA tests using agent-browser and post results to the qabot dashboard. Interactive mode helps craft fixtures.
企查查官方 CLI — 企业工商、风险、知识产权、经营信息一站式查询。输入企业名称即可调用 67 个 API 获取注册信息、股东、高管、失信、行政处罚、专利、招投标、融资、舆情等全维度企业数据。触发场景：查企业、背调、尽调、风险排查、企业画像、商机分析、企业信用评估、供应商审查。使用 agent-browser 补充高管履历和地方互动等互联网信息。
An official Qdrant MCP server implementation that provides semantic memory capabilities for AI agents.
Qdrant Operations — управление коллекциями Qdrant, sparse vectors, snapshots. ИСПОЛЬЗУЙ когда создаёшь/настраиваешь коллекции Qdrant, мигрируешь с ChromaDB, настраиваешь named…
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles. — from proffesor-for-testing/agentic-qe
Knowledge graph-based code understanding with semantic search and 80% token reduction through intelligent context retrieval.
Quality Engineering iteration loops for autonomous test improvement, coverage achievement, and quality gate compliance.
Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents.
Use Fabric RTI MCP when an agent needs tool-callable access to Microsoft Fabric Real-Time Intelligence services such as Eventhouse, Eventstreams, Activator, and Map instead of…
Connect MCP-compatible agents to Neo4j so they can inspect graph schemas, run Cypher queries, manage graph memory, and operate Aura instances from chat.
Give MCP-capable agents a live global-intelligence surface for country briefs, risk scores, conflict, cyber, market, weather, and infrastructure monitoring.
DEPRECATED — permissions moved to nix-claude-code; edit data/permissions/*.nix there instead of this repo's JSON
MCP connector for QuickBooks – enables AI-powered accounting, invoice management, and financial reporting through Claude
Fast single-pass writing review against Ben Church's writing standards. Use when the user asks to "quickcheck", "quick review", "fast check", "quick edit", "scan my writing", or…
Use the bundled r2mcp MCP server for binary analysis, disassembly, and reverse-engineering tasks.
Audit, tighten, and restructure CLAUDE.md and AGENTS.md memory files so the root file stays a short "where am I" plus rules instead of a changelog.
Details on the Retrieval Augmented Generation pipeline, Ingestion, and Vector Search. — from majiayu000/claude-skill-registry
Add an indexing source — add it to settings.json `sources` and immediately do a partial index. Utterance examples "rag add source docs/", "rag-add-source notes/", "register wiki/…
Use for RAG pipelines — chunking, embeddings, hybrid search, reranking, grounding, retrieval evals.
Use when building RAG systems, implementing semantic/hybrid search, selecting vector databases, tuning retrieval quality, or choosing chunking and embedding strategies.
Use when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.
Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.