codex-delegation
How to delegate implementation tasks to Codex workers via MCP. Use when executing tasks that require code implementation by GPT Codex workers.
Discover tools llm ai skills, compare source repositories and read the instructions for each workflow.
How to delegate implementation tasks to Codex workers via MCP. Use when executing tasks that require code implementation by GPT Codex workers.
Detects missing requirements and generates clarification questions. Use after classification/complexity to decide if user input is needed.
PM workflow orchestrator. Analyzes user requests and automatically runs the optimal agent chain.
Validate architecture/plan quality via claude-delegator (Plan Reviewer expert). Use after writing context.md for complex feature/refactor work.
Classifies a user request into task types (feature, modification, bugfix, refactor) and extracts intent keywords. Use at the start of PM analysis.
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.
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...
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.
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.
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.
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...
Conversational interface for managing MCP (Model Context Protocol) server configurations in Claude Code
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 +...
Reduce AI-writing fingerprints and normalize content to sound human.
Protocol for agents to autonomously detect skill gaps and maintain documentation health.
รูปแบบการจัดเตรียม context ให้กระชับ มีโครงสร้าง และใช้ token อย่างมีประสิทธิภาพ
Comprehensive guide to improving RAG retrieval quality including chunking strategies, embedding optimization, reranking, and hybrid search
Comprehensive guide to versioning, testing, and managing prompts for AI agents including A/B testing, rollback strategies, and prompt registries
Implementing comprehensive logging, tracking, and audit trails for AI systems to ensure compliance and enable debugging.
Navigating the regulatory landscape and ethical frameworks for responsible AI development and deployment.
Implementing semantic search and similarity search using vector embeddings and vector databases.
Protocols for efficiently identifying, retrieving, and combining relevant skills from the index to solve complex problems without context overload.
Strategies for managing and reducing costs in LLM-powered applications, from token economics to RAG architectures.
Comprehensive guide to implementing audit trails and logging for AI agents including tracing, observability, compliance, and debugging
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