claude-copilot
Analyze markdown documentation files to ensure compliance with predefined AI token budgets and optimize content for efficient AI ingestion.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
143 skills found
Analyze markdown documentation files to ensure compliance with predefined AI token budgets and optimize content for efficient AI ingestion.
Morph WarpGrep and Fast Apply tools for high-speed agentic code search, deep logic analysis, and efficient AI-driven code editing.
Extract specific fields from YAML files efficiently without reading entire files, saving 80-95% of context window usage.
Enforce epistemic quality in RAG systems with pre-ingestion verification. Ensures documents are properly qualified and structured before knowledge base entry.
Talent Scout is an AI-powered Apify Actor for automated candidate sourcing. It scrapes LinkedIn, GitHub, and other platforms, then uses LLMs to rank and evaluate developer profiles against job requirements.
Guidelines for curating high-quality datasets for LLM post-training (SFT/DPO/RLHF), covering data formats, quality filtering, and collection strategies.
A wise conductor of expert agents. It helps you achieve goals by summoning, orchestrating, and creating specialized AI experts. Features intellectual humility, multi-agent debate, and self-learning pattern capture.
Fetch, index, and search developer documentation from GitHub and websites to provide AI agents with accurate, grounded, and version-specific code context.
Interactive Archon integration for knowledge base and project management. Features RAG-powered semantic search, website crawling, document versioning, and hierarchical task management via REST API.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
A runtime skill discovery engine for AI agents. Search and retrieve specialized agent skills (SKILL.md) on-demand via REST API or MCP to inject procedural knowledge into your agent's context.
Search, analyze, and audit GeminiClaw session logs and memory. Use to investigate past interactions, track token usage, debug tool calls, and monitor agent performance.