Skill.md
- SKILL.md
--- name: progressive-estimation description: Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops ---
Library Skill.md library
Each one names the GitHub repo it came from, so you can check exactly what it tells your AI to do.
274991 Skill.md files
--- name: progressive-estimation description: Estimate AI-assisted and hybrid human+agent development work with research-backed PERT statistics and calibration feedback loops ---
--- name: project-development description: This skill covers the principles for identifying tasks suited to LLM processing, designing effective project architectures, and iterating rapidly using agent-assisted development. ---
--- name: project-state-governor description: Govern evidence-backed canonical project state across sessions, branches, reviews, and research cycles without inventing product intent. ---
--- name: projection-patterns description: Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems. ---
--- name: prometheus-configuration description: Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules. ---
--- name: prometheus-grafana description: Set up metrics collection and visualization with Prometheus and Grafana. ---
--- name: prompt-caching description: Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) ---
--- name: prompt-engineer description: Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW) ---
--- name: prompt-engineering-patterns description: Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. ---
--- name: prompt-engineering description: Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior. ---
--- name: prompt-library description: A comprehensive collection of battle-tested prompts inspired by [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts) and community best practices. ---
--- name: protect-mcp-governance description: Agent governance skill for MCP tool calls — Cedar policy authoring, shadow-to-enforce rollout, and Ed25519 receipt verification. ---
--- name: protocol-reverse-engineering description: Comprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging. ---
--- name: protocol-reverse description: Authorized reverse engineering of custom binary protocols, Protobuf/gRPC schemas, WebSocket frames, and PCAP-driven protocol recovery. ---
--- name: prototype description: Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route. ---
--- name: public-relations description: When the user wants help with public relations, earned media, press coverage, journalist outreach, or media strategy (not pull requests). ---
--- name: pubmed-database description: Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations. ---
--- name: puppeteer-skill description: Generates Puppeteer scripts for browser automation, scraping, and PDF generation. Triggers on: "Puppeteer", "headless Chrome", "page.goto", "scrape", "PDF generation". ---
--- name: push-skill-to-github description: Commit and push skill changes to the configured skills repository after review and validation. ---
--- name: puzzle-activity-planner description: Plan puzzle-based activities for classrooms, parties, and events with pre-configured generator links ---
--- name: pwn-chain description: Go from reverse engineering to a working exploit: stack/heap/kernel pwn workflows with pwntools, libc-database, ROP, and stabilization from CTF to authorized remote targets. ---
--- name: pydantic-ai description: Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support. ---
--- name: pydantic-models-py description: Create Pydantic models following the multi-model pattern for clean API contracts. ---
--- name: pypict-skill description: Pairwise test generation ---