Prompt to Skill Converter with Grok (v1.4.1)
Transform repetitive, messy prompts into structured, reusable SKILL.md files for your AI agents.
Skills for orchestrating multi-agent systems, building MCP servers, evaluating LLM outputs, and shipping production-grade prompt and retrieval pipelines.
734 live ai agents & llm ops skills for GitHub Copilot.
Transform repetitive, messy prompts into structured, reusable SKILL.md files for your AI agents.
Master the Agensi open standard to build, structure, and document reliable reusable skills for AI coding agents.
by loreto
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
by Julian
A 5-gate pre-flight audit to ensure your AI agent has the context, scope, and safety boundaries needed to code successfully.
Paste any AI output. Get the production-ready prompt that made it.
by Kaymue
Build production multi-agent systems. 12 patterns, 8 anti-patterns, debugging workflow, cost control. LangGraph + AutoGen + CrewAI.
by LB Creations
Audit AI agent memory files for privacy risk and bloat.
by loreto
RAG fails quietly. It retrieves documents, returns confident-looking answers, and misses the question entirely — because the question required connecting facts across documents, reasoning about sequence, or tracing causation. This skill gives you a five-question diagnostic checklist that classifies any failing query as either RAG-safe or structurally RAG-incompatible, then maps it to the specific failure pattern and the architectural fix that resolves it.
by Joeri Brons
Consult a board of 8 legendary business builders to frame, debate, and solve your toughest strategic decisions.
Run a complete pre-publish readiness check on your skills — version consistency, marketplace reference audit, internal path cleanup, and clear 0.0.1 vs 0.1.0 publishing decision.
Run this on your plan, spec, or prompt before any work starts. It surfaces the decisions you never made, names what an agent would silently assume for each, ranks them by the cost of a wrong guess, and hands back a short list of choices to make now — plus the gaps that are safe to leave open.
by Kaymue
Diagnose broken RAG systems. 8 failure categories: chunking, embeddings, retrieval, reranking, hallucination. Recall@k measurement.
by GoldBean
120+ paid AI tool endpoints. Pay per use via x402 micropayments on Base (USDC). No API keys, no subscriptions.
by Shogun Labs
Systematic framework for engineering AI agent context at the right level of abstraction
by Kaymue
Audit AI/LLM spend across OpenAI, Anthropic, AWS Bedrock, Azure. Find waste, project runway, FinOps report. Free scripts.
An adversarial self-review gate that hunts your agent's weakest claim, overclaims, and missing limitations before a human sees the output.
by Agentwrought
Audit and repair decaying agent instruction files to fix contradictions, stale rules, and token bloat.
An adversarial reviewer for AGENTS.md and agent instruction files. It flags ambiguous or contradictory rules, missing guardrails, vague tool and scope definitions, and untestable instructions, then returns a PASS / REVISE / BLOCK verdict — before the config drives your agent.
A structured recovery framework to stop agent loops, handle malformed output, and manage autonomous error escalation.
A structured protocol for AI agents to orchestrate sub-agents with role contracts and disciplined handoffs.
by Aman Garg
AI output is full of padding, repeated information, and filler phrases. This skill cuts all of that while keeping the specifics and nuance that actually matter.
by OnwireFlow
Makes your coding agent work like a senior developer: exact money with no rounding errors, configurable rules, real audit trails, honest testing and review. Any stack, any country.
by heyhridyansh
A formal release gatekeeper that audits PRs for deployment risk, migration safety, and operational readiness.
Each skill on this page is a SKILL.md file built for ai agents & llm ops work and confirmed to run in GitHub Copilot. Install one into .github/copilot/skills/ (repo) or VS Code workspace, start a new session, and GitHub Copilot follows the workflow the creator encoded instead of improvising from a short prompt.
Listings are ranked by installs, upvotes and reviews, so what surfaces first is what other GitHub Copilot users actually keep. Free and paid skills compete on the same page, and every listing shows its security scan result before you download anything.