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: accesslint-diff description: Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violations introduced, violations fixed, and pre-existing count. Use `scan` for a full audit with no diffing. ---
--- name: accesslint-scan description: Audit a live page for accessibility issues, locate each WCAG violation precisely, and return a selector-grounded fix worklist without editing. ---
--- name: accint-commitments description: Triage acc's open promises and close them with honest real-world verdicts via acc_act(runtime="outcome"). ---
--- name: accint-frames description: Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue"). ---
--- name: accint-solve description: Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue. ---
--- name: active-directory-attacks description: Provide comprehensive techniques for attacking Microsoft Active Directory environments. Covers reconnaissance, credential harvesting, Kerberos attacks, lateral movement, privilege escalation, and domain dominance for red team operations and penetration testing. ---
--- name: activecampaign-automation description: Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas. ---
--- name: ad-campaign-analyzer description: Analyze cross-channel campaign data, quantify uncertainty, and propose evidence-labeled budget tests without overstating causality. ---
--- name: ad-creative description: Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization. ---
--- name: address-github-comments description: Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI. ---
--- name: adhx description: Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required. ---
--- name: advanced-evaluation description: This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment. ---
--- name: advogado-criminal description: Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e acao penal. ---
--- name: advogado-especialista description: Advogado especialista em todas as areas do Direito brasileiro: familia, criminal, trabalhista, tributario, consumidor, imobiliario, empresarial, civil e constitucional. ---
--- name: aegisops-ai description: Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance. ---
--- name: agent-evaluation-reporting description: Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable. ---
--- name: agent-evaluation description: Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent regression tests. ---
--- name: agent-framework-azure-ai-py description: Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK. ---
--- name: agent-harness-fault-injection description: Use when an agent workflow needs deterministic recovery evidence for sandbox, MCP/tool, worker, checkpoint, memory, or orchestration failures. ---
--- name: agent-manager-skill description: Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling. ---
--- name: agent-memory-discipline description: Rules for when an agent should recall from long-term memory before acting and when it should save decisions, corrections and failures afterwards. Works with any memory backend. ---
--- name: agent-memory-mcp description: A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). ---
--- name: agent-memory-systems description: Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. ---
--- name: agent-memory description: A hybrid memory system that provides persistent, searchable knowledge management for AI agents. ---
