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codex-delegation
How to delegate implementation tasks to Codex workers via MCP. Use when executing tasks that require code implementation by GPT Codex workers.
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tools llm ai AI 技能
发现 tools llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
moonshot-detect-uncertainty
Detects missing requirements and generates clarification questions. Use after classification/complexity to decide if user input is needed.
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GitHub
moonshot-orchestrator
PM workflow orchestrator. Analyzes user requests and automatically runs the optimal agent chain.
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GitHub
codex-validate-plan
Validate architecture/plan quality via claude-delegator (Plan Reviewer expert). Use after writing context.md for complex feature/refactor work.
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GitHub
moonshot-classify-task
Classifies a user request into task types (feature, modification, bugfix, refactor) and extracts intent keywords. Use at the start of PM analysis.
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GitHub
writings-expert
Use this skill when discussing technical topics Ryan has written about - OpenPKG, TypeScript tooling, agent-native architecture, documentation coverage. Provides deep context from his actual writings.
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GitHub
agents-consult
Consult multiple LLM providers via src.agents.scripts.consult to get approach suggestions before implementing changes. Use when you need design options, risk checks, or alternative solutions for a task in this...
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GitHub
pipeline-execution
Guide for orchestrating custom agents through the feature development workflow. Use this when asked to run the pipeline on an issue or execute the agent pipeline.
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GitHub
sigil-mcp
Model Context Protocol server for Sigil MPC signing. Use for deploying Sigil as a universal agent-compatible signing server that works with Claude Desktop, VS Code, and any MCP-compliant client.
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GitHub
microsoft-agent-framework
Expert knowledge of Microsoft Agent Framework for building production AI agents and workflows. Use when building agents with Microsoft's framework, multi-agent orchestration, or tool integration.
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GitHub
work-delegator
Expert delegation specialist that creates comprehensive context packages for coding agents, analyzes requirements, identifies relevant files, and generates clear instructions. Activates when delegating work, as...
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GitHub
mcp-manager
Conversational interface for managing MCP (Model Context Protocol) server configurations in Claude Code
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GitHub
prompt-creator-10-frameworks
Use when the user asks to create prompts/提示词 for a topic and expects 10 variants using ICIO, CRISPE, BROKE, CREATE, TAG, RTF, ROSES, APE, RACE, TRACE, with strict formatted output (字段清单 + “Prompt：”行 +...
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GitHub
ai-content-detection-normalization
Reduce AI-writing fingerprints and normalize content to sound human.
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GitHub
autonomous-gap-detector
Protocol for agents to autonomously detect skill gaps and maintain documentation health.
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GitHub
context-pack-format
รูปแบบการจัดเตรียม context ให้กระชับ มีโครงสร้าง และใช้ token อย่างมีประสิทธิภาพ
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GitHub
retrieval-quality
Comprehensive guide to improving RAG retrieval quality including chunking strategies, embedding optimization, reranking, and hybrid search
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GitHub
prompt-versioning
Comprehensive guide to versioning, testing, and managing prompts for AI agents including A/B testing, rollback strategies, and prompt registries
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GitHub
ai-auditability
Implementing comprehensive logging, tracking, and audit trails for AI systems to ensure compliance and enable debugging.
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GitHub
ai-ethics-and-compliance
Navigating the regulatory landscape and ethical frameworks for responsible AI development and deployment.
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GitHub
vector-search-patterns
Implementing semantic search and similarity search using vector embeddings and vector databases.
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GitHub
skill-discovery-chaining
Protocols for efficiently identifying, retrieving, and combining relevant skills from the index to solve complex problems without context overload.
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GitHub
llm-and-ai-cost-optimization
Strategies for managing and reducing costs in LLM-powered applications, from token economics to RAG architectures.
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GitHub
audit-trails-for-agents
Comprehensive guide to implementing audit trails and logging for AI agents including tracing, observability, compliance, and debugging
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。