The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 86 961 files from 2 125 authors, of which 68 678 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
> Operational traps for Terraform provisioners, multi-environment isolation, and zero-to-deployment reliability. Use when writing null_resource / remote-exec / local-exec / file provisioners, setting up fresh instances with cloud-init, or any IaC code that SSHs into remote hosts; when creating multi-environment Terraform setups (DNS record duplication, snapshot cross-contamination); or when debugging containers that are Restarting/unhealthy after terraform apply. Also when the user mentions terraform plan/apply errors, provisioner failures, infrastructure drift, TLS certificate errors, Cloudflare credential format, or Caddy/gateway / Caddyfile / compose configuration.
> Diagnoses and fixes Tailscale x proxy/VPN tool conflicts (Shadowrocket, Clash, Surge, OrbStack/Docker) on macOS — route hijacking, proxy env vars, system proxy bypass, SSH ProxyCommand double-tunneling, VM/container proxy propagation, stalled macOS DNS. Use when Tailscale ping works but SSH/HTTP times out, browser returns 503 but curl works, git push fails with "failed to begin relaying via HTTP", Docker pull/build times out behind TUN/VPN, setting up Tailscale SSH to WSL or remote dev over Tailscale, ssh/curl/git hang ~60s resolving a hostname while nslookup is instant, ping to a resolver works but dig times out, ssh -vvv freezes UNKNOWN_CERTIFICATE_VERIFICATION_ERROR, proxy CONNECT 503) while proxied sites work — TUN DIRECT split-brain — or a Windows host TUN (v2rayN) black-holing the whole machine incl. WSL and Tailscale (event-log forensics prove which action fixed it).
Fetch Twitter/X post content including long-form Articles with full images and metadata. Use when Claude needs to retrieve tweet/article content, author info, engagement metrics, and embedded media. Supports individual posts and X Articles (long-form content). Automatically downloads all images to local attachments folder and generates complete Markdown with proper image references. Preferred over Jina for X Articles with images.
>- Diagnose Windows App (Microsoft Remote Desktop / Azure Virtual Desktop / W365 / direct PC) connection issues on macOS. Analyze transport protocol selection (UDP Shortpath vs WebSocket), detect VPN/proxy interference, parse Windows App logs for Shortpath failures, and resolve stuck "Configuring remote PC..." dialogs caused by expired Microsoft accounts, server reboots, or client-side auth poisoning. Use when VDI connections are slow or stuck, when direct PC connections fail to connect, when transport shows WebSocket instead of UDP, when RDP Shortpath fails, or when Windows App is frozen at a progress dialog.
Faithfully archive public WPS/KDocs/金山文档 links, especially embedded ProcessOn .pof mind maps and canvases, as raw source data, original SVG/PNG, and Markdown. Use when a user gives a kdocs.cn or wps.processon.com link and asks to scrape, save, download, 扒下来, 归档, or 转 Markdown without logging in or saving the document to an account.
Download YouTube videos and HLS streams (m3u8) from platforms like Mux, Vimeo, etc. using yt-dlp and ffmpeg. Use this skill when users request downloading videos, extracting audio, handling protected streams with authentication headers, or troubleshooting download issues like nsig extraction failures, 403 errors, or cookie extraction problems.
Design Thinking coaching foundation knowledge: coach identity and philosophy, quality and fidelity constraints, method sequencing, coaching state schema, and the canonical deck workflow
Review code changes from multiple perspectives with context bootstrap, depth-tier rigor, and structured findings output.
Foundational Python best practices, idioms, and code quality fundamentals
Design Thinking handoff knowledge for research-ready rpi-research inputs and DT-aware rpi-plan, rpi-implement, and rpi-review context
Ultra-compressed response style that reduces output token count while preserving technical accuracy, with intensity levels and auto-clarity safety rules
Design Thinking method coaching knowledge across all nine methods including per-method techniques, deep expertise, and industry context (energy, financial services, healthcare, manufacturing, nonprofit and social impact, pharmaceuticals and life sciences, professional services, public sector, retail and CPG)
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, and the Accessibility Planner workflow.
Design Thinking learning curriculum covering nine progressive modules across the full Problem, Solution, and Implementation Space methods plus a shared manufacturing reference scenario for teaching and practice
Generate customer-card PowerPoint content YAML from Design Thinking canonical artifacts and build using the shared PowerPoint skill pipeline
Set up GitHub Copilot OpenTelemetry capture: configure the VS Code export settings, generate a local Grafana stack and dashboard, or generate the Azure collector, infrastructure, and dashboard for an organization.
PowerPoint slide deck generation and management using python-pptx with YAML-driven content and styling
VS Code screenshot capture using Playwright MCP with serve-web for slide decks and documentation
Video-to-GIF conversion with FFmpeg two-pass optimization
Mural workspace, room, mural, and widget workflows via the Mural REST API exposed through a Python CLI. Use when you need to read or write Mural content or automate widget creation.
Text-to-speech voice-over generation from YAML speaker notes using Azure Speech SDK with SSML pronunciation control
Retrieves and groups GitHub code scanning alerts by rule and severity using the gh CLI
Manage GitLab merge requests and pipelines with a Python CLI
Architecture diagram authoring for cloud infrastructure: parse Azure IaC, map relationships, and render either ASCII block diagrams or Mermaid flowcharts based on the caller's chosen output format
Compatibility alias for read-only prompt artifact review. Routes static and behavior analysis to hve-builder review mode.
Author, review, or validate Copilot prompt-engineering artifacts through independent review, behavior testing, and host checks.
Test HVE artifact behavior with black-box scenarios, contained simulation or approved native execution, independent grading, and evidence reports.
Canonical documentation capability for audit, drift, validate, and author modes in hve-core.
Compatibility alias for legacy prompt-building requests. Routes creation and improvement to the hve-builder skill.
Compatibility alias for behavior-preserving prompt artifact cleanup. Routes refactoring to hve-builder refactor mode.
Decision-driven HVE-Core installer with multiple clone-based and extension install methods, environment detection, and agent customization
Jira issue workflows for search, issue updates, transitions, comments, and field discovery via the Jira REST API. Use when you need to search with JQL, inspect an issue, create or update work items, move an issue between statuses, post comments, or discover required fields for issue creation.
Authors Vally conformance tests for prompts, instructions, agents, and skills, including refusals for jailbreak, prompt-injection, harmful-elicitation, TOS, CoC, and PII-extraction stimuli
Authoring skill for Architecture Decision Records (ADRs) supporting capture, from-planner-handoff, and adopt-template entry modes with selectable Y-Statement or MADR v4.0.0 output templates, supersession lineage, and ASR trigger evaluation.
Performance, load, and reliability (SLO/SRE) planning for production readiness. Use when defining service level objectives, load characterization, capacity, latency budgets, stress/soak/spike test plans, false-positive baselines, and reliability targets. USE FOR: SLO/SLA definition, load testing plan, performance budget, capacity planning, reliability/SRE backlog, latency targets, error-budget policy. DO NOT USE FOR: executing load tests (use Azure Load Testing tooling), security threat modeling, RAI assessment, privacy/compliance planning, or authoring/restating PRD requirements (cite the PRD's existing NFR/FR ids instead).
On-demand RAI planner reference pack covering Phase 1 capture, Phase 2 risk classification, Phase 5 impact assessment, and Phase 6 review and backlog handoff.
Requirements authoring guide for BRD and PRD across Discover, Define, and Govern with canonical templates and handoff contracts
Privacy planning reference for data-flow reasoning, standards mapping, and DPIA thresholds
Security planning reference set for operational buckets, STRIDE analysis, standards mapping, NIST control families, and backlog scaffolding.
Consolidated Responsible AI standards reference: NIST AI RMF 1.0, AI STRIDE threat-modeling overlay, EU AI Act risk tiers, and an open-standards catalog with phase mapping
Challenge a confirmed task, decision, plan, or artifact through adaptive skeptical questions. Use when you need to expose assumptions before acting.
Execute an approved RPI plan, maintain current planning state, and record implementation evidence. Use when implementation is ready to begin or resume.
Create evidence-based RPI plans and phase details from supplied context, research, drafts, and decisions. Use when implementation planning is needed.
Independently critique an RPI plan and phase details against supplied evidence without editing plan sources. Use when planning credibility needs a read-only assessment.
Research-only RPI playbook that gathers task evidence, writes dated research artifacts under .copilot-tracking/research/, and hands off planning-ready findings. Use when the user needs evidence, alternatives, or task framing first.
Sequence Research, Plan, Implement, Review, and Follow-up for an RPI task. Use when one workflow should coordinate the full delivery lifecycle.
Microsoft Cloud Security Benchmark (MCSB v2) control-domain taxonomy and NIST 800-53 / CIS Controls crosswalk for planning and reviewing Azure cloud resources.
Compare RPI planning and implementation evidence, record review findings, and route follow-up work. Use when an implementation needs acceptance review.
Guided, conversational walkthrough that explains code, UI, UX, features, or .copilot-tracking artifacts with navigable evidence links, deep subagent review, and a reconciled decisions-and-changes ledger. Use when the user wants to understand how something works or why it was changed.
OWASP CI/CD Top 10 knowledge base for identifying, assessing, and remediating CI/CD pipeline security risks.
OWASP Agentic Security Top 10 knowledge base for identifying, assessing, and remediating AI agent system security risks.
OWASP Docker Top 6 knowledge base for identifying, assessing, and remediating Docker container security risks.
OWASP Top 10 for LLM Applications (2025) knowledge base for identifying, assessing, and remediating large language model security risks.
OWASP Infrastructure Top 10 knowledge base for identifying, assessing, and remediating internal IT infrastructure security risks.
OWASP Top 10 for Web Applications (2025) knowledge base for identifying, assessing, and remediating web application security risks.
OWASP MCP Top 10 knowledge base for identifying, assessing, and remediating Model Context Protocol security risks.
Format specifications and data contracts for the security reviewer orchestrator and its subagents.
Secure by Design principles knowledge base for assessing security-first design, development, and deployment across the software lifecycle.
Generates PR reference XML with commit history and unified diffs between branches, with extension and path filtering. Use when creating pull request descriptions, preparing code reviews, analyzing branch changes, discovering work items from diffs, or generating structured diff summaries.
Software supply chain security reference for OpenSSF Scorecard, SLSA, Sigstore, SBOM, and posture/backlog taxonomies.
Answers built from the skills we actually parsed.