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. 79 600 files from 1 763 authors, of which 61 947 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.
Researches personal backgrounds, interviews, motivations, and humanizing details. Use when research needs biographical context about people involved in the album's subject.
Researches SEC filings, earnings calls, analyst reports, and market data. Use when the album subject involves financial crimes, corporate stories, or market events.
Researches archives, contemporary accounts, and timeline reconstruction. Use when the album subject involves historical events that need primary source verification.
Researches DOJ/FBI/SEC press releases, agency statements, and government sources. Use when research needs official government records or agency documentation.
Researches investigative articles, interviews, and news coverage. Use when research needs journalistic sources for cross-referencing or additional context.
Researches the subject's own words from tweets, blogs, forums, and chat logs. Use when research needs direct quotes or first-person accounts.
Researches court documents, indictments, plea agreements, and sentencing records. Use when the album subject involves legal proceedings or criminal cases.
Researches malware analysis, CVEs, attribution reports, and hacker community sources. Use when the album subject involves cybersecurity incidents or threat actors.
Researches project histories, changelogs, developer interviews, and open source documentation. Use when the album subject involves technology projects or developer stories.
Runs the session startup procedure - verifies setup, loads config and state, checks skill models, and reports project status. Use at the beginning of a fresh session.
Finds an album by name and shows detailed status with next steps. Use when the user mentions an album name or wants to continue previous work.
Detects your Python environment and guides you through installing plugin dependencies. Use on first-time setup or when MCP server fails to start.
Performs quality control, citation validation, and fact-checking before human review. Use after research is complete to verify all sources and claims before production.
Converts mastered audio to sheet music and creates printable songbooks. Use after mastering when the user wants sheet music or a songbook for their album.
Constructs technical Suno V5/V5.5 style prompts, selects genres, and optimizes generation settings. Use when creating or refining Suno prompts for track generation.
Provides interactive guided album creation for new users. Use when the user is new to the plugin or asks for a walkthrough of the album creation process.
Validates album directory structure, file locations, and content integrity. Use before release or whenever the user wants to check an album's structural health.
Reviews lyrics and prose for AI-written patterns (abstract noun stacking, over-explained metaphors, cliche escalation, missing idiosyncrasy, prose AI tells). Advisory Warning/Info severity — flags issues, does not block or rewrite. Use when reviewing lyrics for authenticity or before generation to catch AI-sounding language.
Captures human source verification for tracks, timestamps it, and updates track files. Use when sources need human review before generation.
> Automate source-grounded research with Google NotebookLM. Create notebooks from URLs, text, or local files; ask cited questions; run fast or deep web research; create articles and social drafts; and generate or download audio, video, cinematic video, slides, reports, study guides, quizzes, flashcards, mind maps, infographics, and data tables. Use when a user asks for NotebookLM, cited source analysis, research-to-content workflows, podcasts, slides, study material, artifact generation, RSS digests, or trend research.
Run autonomous task execution using the codex CLI. Use when the user asks to \"codex exec\", \"run codex exec\", \"execute a task with codex\", or \"delegate to codex\".
For each reviewer question on a PR, recall implementation reasoning and compose a raw answer. Use when the user asks to \"answer reviewer questions\", \"draft answers to PR questions\", or \"explain reviewer questions\".
Run AI-powered code review using the codex CLI. Use when the user asks to \"codex review\", \"run codex review\", or \"review a commit with codex\".
Project-wide health audit pipeline that fans out to all analysis skills in parallel, evaluates findings, and produces a unified report at .turbo/audit.md. Use when the user asks to \"audit the project\", \"run a full audit\", \"project health check\", \"audit my code\", \"codebase audit\", or \"comprehensive review\".
Assess project-wide structural technical debt: complexity hotspots, deprecated API usage, duplication clusters, and architecture rot. Ranks findings by impact and refactor effort into a report at .turbo/technical-debt.md. Use when the user asks to \"assess technical debt\", \"find technical debt\", \"review technical debt\", \"what should we refactor\", \"find refactoring candidates\", \"where is the code rot\", or \"what's our worst code\". Analysis-only — does not modify code.
Shared changelog conventions and formatting rules referenced by /create-changelog and /update-changelog. Not typically invoked directly.
Apply findings by making the suggested code changes. Applies accepted verdicts, escalates ambiguous findings to the user, and offers to note genuine improvements for later. Use when the user asks to \"apply findings\", \"apply fixes\", \"apply suggestions\", \"apply accepted findings\", \"fix the findings\", or \"apply the review results\".
Enforce existence, reuse, mirror, and symmetry principles to keep new code minimal and consistent with surrounding code. Use when writing new code in an existing codebase, adding new features, refactoring, or making any code changes.
Create a CHANGELOG.md following keepachangelog.com conventions with version history backfilled from GitHub releases or git tags. Use when the user asks to \"create a changelog\", \"add a changelog\", \"initialize changelog\", \"start a changelog\", \"set up changelog\", \"generate changelog\", or \"backfill changelog\".
Shared commit message rules and technical constraints referenced by /stage-commit and /commit-staged. Not typically invoked directly.
Multi-turn consultation with Codex CLI for second opinions, brainstorming, or collaborative problem-solving. Use when the user asks to \"consult codex\", \"ask codex\", \"get codex's opinion\", \"brainstorm with codex\", \"discuss with codex\", or \"chat with codex\".
Commit already-staged changes and push in one step. Use when the user asks to \"commit and push staged changes\", \"commit and push what's staged\", or \"commit staged and push\".
Commit already-staged changes with a message matching existing commit style. Use when the user asks to \"commit staged changes\" or \"commit what's staged\".
Consult ChatGPT Pro via ChatGPT browser automation for problems that resist standard approaches. Use when stuck on a very hard problem, when standard approaches have failed, when multiple debugging attempts haven't worked, or when the user says \"ask the oracle\", \"consult oracle\", \"consult chatgpt\", \"I'm completely stuck\", \"I've tried everything\", or \"nothing is working\".
Propose a turbo skill improvement upstream by filing a GitHub issue against the turbo repo. Use when the user asks to \"contribute to turbo\", \"submit turbo changes\", \"contribute back\", \"suggest a turbo improvement\", or \"upstream my changes\".
Write a handoff file at .turbo/handoff/<YYYY-MM-DD>-<slug>.md capturing current session state — task, status, open decisions, in-flight changes, next step — so a fresh session can continue without re-deriving context. Use when the user asks to \"create a handoff\", \"create handoff\", \"save handoff\", \"handoff before compact\", \"save session state\", \"handoff for next session\", or \"capture session state\".
Create a GitHub issue with a drafted title and body. Use when the user asks to \"create an issue\", \"file an issue\", \"open an issue\", \"submit an issue\", \"report a bug\", \"file a bug report\", \"file a feature request\", or \"file a design proposal\".
Create a new skill or update an existing skill that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when the user asks to \"create a skill\", \"make a new skill\", \"build a skill\", \"scaffold a skill\", \"write a skill for...\", or \"new skill that does...\".
Scans an existing codebase and generates project-specific skills that capture inferred conventions such as naming, file organization, framework usage, data access, error handling, and testing style. Writes into the project's chosen skill directory (e.g., `.claude/skills/`, `.agents/skills/`, or a custom path). Use when the user asks to \"extract skills from the codebase\", \"create project skills\", \"infer project conventions as skills\", \"codify patterns as skills\", or \"mine the repo for best practices\".
Create a GitHub pull request with a drafted title and description. Use when the user asks to \"create a PR\", \"create a pull request\", \"open a PR\", or \"submit a PR\".
Analyze what changed and generate a structured test plan at .turbo/test-plans/<slug>.md covering four escalating levels: basic functionality, complex operations, adversarial testing, and cross-cutting scenarios. Use when the user asks to \"create a test plan\", \"plan tests\", \"what should I test\", \"generate test scenarios\", \"test plan for this PR\", or \"what are the test cases\".
Align on the shape of a change through an interview, then implement it. Escalates open product decisions and settles the implementation shape in conversation. Use when the user asks to \"discuss this change\", \"align on this change first\", \"ask me questions first\", \"interview me then implement\", \"agree on the approach before coding\", or wants the shape of a single change settled before any code is written.
Analyze a codebase and produce a structured threat model at .turbo/threat-model.md covering assets, trust boundaries, attack surfaces with existing mitigations, attacker stories, and calibrated severity. Use when the user asks to \"create a threat model\", \"threat model\", \"threat model this codebase\", \"security analysis\", \"analyze the attack surface\", \"what are the threats\", or \"identify security risks\".
Produce an implementation plan at .turbo/plans/<slug>.md. Use when the user asks to \"draft a plan\", \"draft the plan\", \"write an implementation plan\", \"plan this change\", \"create an implementation plan\", or needs a first-draft plan file before refinement.
Critically assess external feedback (code reviews, AI reviewers, PR comments) and decide which suggestions to apply using adversarial verification. Use when the user asks to \"evaluate findings\", \"assess review comments\", \"triage review feedback\", \"evaluate review output\", or \"filter false positives\".
Guide a collaborative discussion that produces a specification document at .turbo/specs/<slug>.md. Use when the user asks to \"draft a spec\", \"create a spec\", \"write a spec\", \"discuss a project plan\", \"spec out a project\", \"design a system\", \"let's plan this project\", \"help me scope this\", \"architect a solution\", or \"let's discuss before building\".
Expand a shell into a full implementation plan. Verifies Consumes against the current codebase, runs a fresh pattern survey, escalates open questions, and fills in concrete file references and verification. Use when the user asks to \"expand a shell\", \"expand shell\", \"fill in the shell\", \"expand the shell\", or \"concretize the shell\".
Decompose a specification file into shells with YAML frontmatter. Each shell captures the wiring invariants (Produces, Consumes, Covers) and high-level Implementation Steps without committing to file paths. Use when the user asks to \"draft shells\", \"create shells\", \"break spec into shells\", \"decompose spec into sessions\", \"draft shells from spec\", \"generate shells from spec\", or \"make shells from spec\".
Explain whatever the user is pointing at right now in plain language: a pending question, a piece of code, an error, a command output, or an artifact like a plan or findings report. Use when the user asks to \"explain this\", \"what am I being asked\", \"what's happening right now\", \"help me understand this\", \"what does this mean\", \"what does this error mean\", \"what is this code doing\", or \"what do these options mean\".
Execute multi-level exploratory testing of the app covering basic functionality, complex operations, adversarial testing, and cross-cutting scenarios, plus usability observations through a UX lens reported separately from defects. Deeper than /smoke-test. Use when the user asks to \"exploratory test\", \"test thoroughly\", \"test all scenarios\", \"deep test\", \"test edge cases\", \"test everything\", \"break it\", \"find bugs by testing\", \"test usability\", or \"check the UX while testing\".
Fetch and summarize review feedback and conversation from a GitHub PR (unresolved review threads, review bodies, and PR conversation comments) without making changes. Use when the user asks to \"fetch PR comments\", \"show PR comments\", \"check PR for unresolved comments\", \"list review comments\", \"what comments are on the PR\", \"show unresolved threads\", or \"summarize PR feedback\".
Run the post-implementation quality assurance workflow including tests, code polishing, review, and commit. Use when the user asks to \"finalize implementation\", \"finalize changes\", \"wrap up implementation\", \"finish up\", \"ready to commit\", or \"run QA workflow\".
Find dead code using parallel subagent analysis and optional CLI tools, treating code only referenced from tests as dead. Use when the user asks to \"find dead code\", \"find unused code\", \"find unused exports\", \"find unreferenced functions\", \"clean up dead code\", or \"what code is unused\". Analysis-only — does not modify or delete code.
Validate improvements from .turbo/improvements.md, recommend a working set tailored to what's in the backlog, and run one lane: direct fixes, investigation, or planned work. One lane per session. Use when the user asks to \"implement improvements\", \"work on improvements\", \"address improvements\", \"process improvement backlog\", \"tackle improvements\", or \"implement noted improvements\".
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build landing pages, websites, dashboards, web components, or any frontend UI. Generates creative, polished code that avoids generic AI aesthetics.
Execute an implementation plan file produced by /draft-plan, /turboplan, or /expand-shell. Runs pre-implementation prep, then runs /implement to execute the steps and finalize once they are all done. Use when the user asks to \"implement plan\", \"implement the plan\", \"execute the plan\", \"run the plan\", \"implement plans/<slug>.md\", \"start implementing the plan\", or starts a fresh session to implement a previously drafted plan.
Shared writing style rules for GitHub-facing output (PR comments, PR descriptions, PR titles, issues, design proposals). Differentiates insider vs outsider voice based on author association. Not typically invoked directly — loaded by other skills before composing GitHub text.
Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to \"investigate this bug\", \"debug this\", \"figure out why this fails\", \"find the root cause\", \"why is this broken\", \"troubleshoot this\", \"diagnose the issue\", \"what's causing this error\", \"look into this failure\", \"why is this test failing\", or \"track down this bug\".
Load code-style and task-specific skills, make the change described by the current context, then run post-implementation QA. Use for ad-hoc changes when no plan file or improvements backlog governs the work, and when the user asks to \"just implement\", \"implement directly\", \"implement without a plan\", or \"apply the change\".
Interpret third-party feedback by running parallel internal and peer interpretations to surface intent, correctness concerns, and ambiguities. Use when the user asks to \"interpret feedback\", \"interpret comments\", \"what does this feedback mean\", \"clarify reviewer intent\", \"understand this review\", or \"interpret these suggestions\".
Answers built from the skills we actually parsed.