Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
502 skills found
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.
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
Manually finalize and submit AI agent responses to Claude. Use when automatic synchronization fails or to manually curate findings.
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
Weekly engineering retrospective tool that analyzes commit history, coding patterns, and quality metrics with automated session detection and trend tracking.
An autonomous AI-powered task management system with Kanban boards, git worktree isolation, and pluggable executors like Claude Code, Gemini, and OpenAI Codex.
Sends debugging data, logs, and visual output to the Ray desktop application via its local API for real-time developer feedback.
Guidelines for curating high-quality datasets for LLM post-training (SFT/DPO/RLHF), covering data formats, quality filtering, and collection strategies.
Perform automated security audits, bug detection, and code quality assessments on local branch diffs using a structured, checklist-driven verification process.
Validates cross-artifact consistency (spec, plan, tasks) and detects breaking changes (API, DB, UI) during software feature development.
Search and analyze X (Twitter) trends, hashtags, and tweet data by location using custom CLI tools.
Read and navigate external documentation efficiently using llms.txt, MCP search, and smart parsing strategies.