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Claude Skills

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. 79 566 files from 1 758 authors, of which 61 913 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.

61 913
unique skills
out of 79 566 files found on GitHub
17 653
are copies
same content, someone else's repository
1 739
tokens, median
what a typical skill costs you in context
7 886
name collisions
two skills with one name cannot sit side by side

45 901–45 960 of 61 913

page 766 of 1 032
Webui Reference
by microsoft
vendor

Authoritative WebUI framework reference for generating correct application code - template-first authoring rules, template syntax, styling, interactivity, routing, state JSON, and anti-patterns.

10k tokens
Deck Factory
by gongnyang

>- 발표급 다크 에디토리얼 HTML 덱을 손으로 짓는 디자인 시스템. 브리프/원고를 받아 Apple·Linear·Stripe 키노트급으로 보이는 프레젠테이션을 프론트엔드(HTML/CSS, 1920×1080 슬라이드)로 만들고 헤드리스 크로미움으로 PNG/PDF까지 렌더한 뒤 공유용 PDF는 기본 경량화한다. PPTX 생성기가 아니라 "슬라이드처럼 보이는 웹 페이지"를 짓는 방법론 + 재사용 CSS 토큰/컴포넌트. 기본은 다크 에디토리얼이고, 문서형·보고서형·출력형 브리프는 paper-light 프로파일로 전환한다. 트리거 — "발표자료/슬라이드/덱을 예쁘게", "IR·보고 덱을 발표급으로", "HTML로 프레젠테이션", "다크 에디토리얼 슬라이드", "키노트 톤 덱", "거대숫자 스탯 슬라이드", "deck-factory 디자인", 기존 밋밋한 덱을 "상용 발표자료처럼" 다시 짜달라는 요청. 핵심 규칙 — dark는 near-black #08090A 캔버스(순흑 금지), light는 paper #F7F4EC 캔버스, 채운 박스 금지(surface 래더 + hairline), 슬라이드당 accent 1곳, 거대숫자 value>label>context 3단 위계, 4모서리 헤더/푸터, 크기·트래킹으로 위계(굵기 남발 금지). 상세 토큰표·컴포넌트별 CSS·13-슬롯 레이아웃 어휘· 라이트 프로파일 전환·WSL 렌더 팁은 reference.md 참조.

8k tokens scripts
Futuristic Tech Editorial Ppt Skill
by software-ai-life

Create or redesign PowerPoint decks in a high-end editorial futuristic tech magazine style: ultra clean white background, subtle grid system, bold sans-serif typography, thin geometric lines, data-inspired layout, electric blue and graphite gray accents, large negative space, asymmetric composition, no shadows, flat design, sharp professional finish. Use for PPT, PPTX, slide design, deck design, ppt-master workflows, AI/product/engineering/strategy presentations, and tech editorial presentation systems.

4k tokens
Minimalist Luxury Branding Ppt Skill
by software-ai-life

Create or redesign PowerPoint decks in a minimalist luxury high-end branding presentation style: soft beige background, warm neutral tones, elegant serif and sans-serif typography pairing, large margins, refined spacing, editorial layout, subtle line dividers, no heavy elements, clean calm premium aesthetic. Use for PPT, PPTX, slide design, brand strategy, luxury branding, premium proposals, founder decks, company profiles, editorial business presentations, and ppt-master workflows.

4k tokens
Soft 3d Clay Ppt Skill
by software-ai-life

Create or redesign PowerPoint/PPTX decks in a "Soft 3D / Claymorphism" style: minimalist professional presentation design with soft matte 3D geometric shapes, pastel beige/sage/warm-pink palette, airy clean layouts, soft shadows, high-end illustration feel, and sophisticated UI design. Use when the user asks for PPT design, slide decks, presentation styling, ppt-master integration, claymorphism, soft 3D, pastel professional decks, or modern airy business presentations.

38k tokens
Japanese Hand Drawn Editorial Ppt Skill
by software-ai-life

Create or redesign PowerPoint decks in a high-end Japanese hand-drawn editorial style: warm off-white paper texture, delicate pencil or ink line illustration, thin uneven strokes, mostly monochrome line art with pale watercolor fills, clean Japanese-style light sans-serif typography, generous line spacing, asymmetric editorial composition, quiet human artistic refined simplicity. Use for PPT, PPTX, slide design, lifestyle magazine decks, brand storytelling, creative process, workspace, human-centered strategy, soft conceptual illustrations, and ppt-master workflows.

4k tokens
Modern Illustration Editorial Ppt Skill
by software-ai-life

Create or redesign PowerPoint decks in a high-end editorial modern illustration style: clean white or light warm background with subtle texture, soft vector illustrations with refined details, abstract people/workflow/idea visuals, smooth shapes, layered composition, modern sans-serif hierarchy, asymmetric editorial layout, large negative space, flat plus slight gradient, soft light shadows, calm intelligent modern artistic feeling. Use for PPT, PPTX, slide design, illustrated business decks, product storytelling, strategy presentations, explainers, tech/lifestyle editorial decks, and ppt-master workflows.

4k tokens
Japanese Style Ppt Skill
by software-ai-life

Create or redesign PowerPoint/PPTX decks in the user's Japanese editorial styles: (1) "Washi Paper & Soft Glow" with washi texture, indigo restraint, and warm minimalism; or (2) high-end Japanese lifestyle magazine style with stark white background, burnt orange accent, charcoal gray, structured grids, and asymmetric edge-pressed imagery. Use when the user asks for PPT design, slide decks, presentation styling, ppt-master integration, or warm/sharp minimalist business, humanities, brand story, or lifestyle editorial decks.

74k tokens
Jira Communication
by netresearch

Use when handling Jira issues, sprints, boards, links, fields, worklogs, attachments, or users, or on any Jira intent without a key (\"create/find a ticket\", \"pick a project\"). Auto-triggers on Jira URLs and issue keys (PROJ-123). Also use when MCP Atlassian tools fail or are unavailable for Jira Server/DC.

130k tokens scripts
Jira Communication
by netresearch

Use when interacting with Jira issues - searching, creating, updating, moving, transitioning, commenting, logging work, downloading attachments, managing sprints, boards, issue links, web links, fields, or users. Auto-triggers on Jira URLs and issue keys (PROJ-123). Also use when MCP Atlassian tools fail or are unavailable for Jira Server/DC.

984 tokens
Jira Syntax
by netresearch

Use when writing or formatting Jira descriptions, comments, or any text destined for Jira. Converts Markdown to Jira wiki markup, provides templates (bug reports, feature requests), and validates syntax before submission. Trigger on any Jira content authoring task.

11k tokens scripts
Magpie CI Runner Audit
by apache

| Read-only audit of GitHub Actions workflow runner compatibility for one repository, an explicit repository set, one Apache project with multiple repositories, or the full Apache GitHub org. Finds obsolete GitHub-hosted runner labels and macOS runner/tool architecture mismatches. Produces TSV evidence files; never edits workflows, opens PRs, or posts comments.

6k tokens scripts
Magpie Contributor To Committer
by apache

| Read-only readiness tracker that maps a contributor's GitHub activity against the adopter's PMC-declared committer or PMC thresholds and surfaces a traffic-light brief (Not yet / Approaching / Ready to nominate) plus the specific evidence gaps that remain.

4k tokens
Magpie Committer Onboarding
by apache

| Post-vote committer and PMC onboarding for Apache projects. Walks the nominator through every step from ICLA check to welcome announcement for both incubating podlings and graduated top-level projects.

9k tokens
Magpie Contributor Activity Sweep
by apache

| Read-only GitHub activity card for a named contributor on <upstream>. Fetches PR authorship, code-review activity, issues, and PR/issue comments over a configurable window. Limited to GitHub-visible activity — the body documents the off-GitHub tracks the nominator must supply separately. No readiness verdict is produced; use contributor-nomination for a full nomination brief.

3k tokens
Magpie Dependency Audit
by apache

| Read-only dependency vulnerability audit for one repository or a local checkout. Detects the project's dependency manager(s), runs the appropriate audit tool, surfaces patchable findings grouped by severity, and proposes upgrades for maintainer review. Never modifies manifests or lock files and never opens update PRs.

3k tokens
Magpie Contributor Nomination
by apache

| Read-only nomination brief for a named GitHub contributor on <upstream>. Aggregates GitHub activity across all contribution tracks plus maintainer-supplied off-GitHub signal, and flags vendor-neutrality context — the evidence a PMC needs to open a committer or PMC nomination thread.

11k tokens
Magpie Audit Finding Fix
by apache

| For a batch of findings from a non-security audit tool (`<audit-tool>` — ruff / flake8 / mypy / pylint / CodeQL / Apache Verum / Apache Caer / equivalent; full list in the body) against `<upstream>`, draft the smallest fix for each finding. Re-runs the tool after each batch to confirm the findings are cleared. Produces a commit and a hand-back artefact; never opens a PR on autopilot or merges.

4k tokens
Magpie Contributor Sentiment
by apache

| Measures contributor-sentiment signals on <upstream> over a time-to-first-reply (median hours), first-PR retention (second-PR rate), and reviewer load (Gini coefficient). Compares each signal against a pre-adoption baseline and produces a structured gate report used to decide whether a skill family is ready to advance from experimental to stable.

4k tokens
Magpie Flaky Test Triage
by apache

| Read-only flaky-test detection from GitHub Actions CI run history for one repository. Parses workflow run outcomes over a configurable window, computes per-job failure rates, and distinguishes intermittent failures (flaky) from consistent failures (deterministically broken). Produces a prioritised triage list without modifying any test code, workflow file, or tracker state.

3k tokens
Magpie Dependency License Audit
by apache

| Read-only license audit of a project's direct and transitive dependency tree. Detects the dependency manager(s), resolves each dependency's declared license from ecosystem metadata, classifies each against a configured policy (ASF three-category A/B/X model or a custom allowlist), and surfaces incompatible, forbidden, and unknown-license dependencies for maintainer review. Never modifies manifests or lock files.

5k tokens
Magpie Good First Issue Author
by apache

| Draft a single net-new *good first issue* on the configured `<upstream>` repo from one supplied candidate such as a known gap or a small maintainer-named task. The skill first runs a suitability gate to confirm the candidate is small and newcomer-safe. If it passes the skill drafts one issue. The draft carries scope, code pointers, contributing-doc links, acceptance criteria, and an effort estimate. A readiness checklist gates the draft before it is shown. Nothing is filed via `gh` until the maintainer explicitly confirms. The skill never curates or relabels the existing backlog.

4k tokens
Magpie Good First Issue Sweep
by apache

| Sweep the open `<issue-tracker>` backlog for existing issues that could be labelled as good first issues. Classifies each candidate as READY (propose the GFI label), NEAR-MISS (surface edits to make it GFI-ready), or SKIP using the G1–G7 suitability rubric. Applies labels only after explicit maintainer confirmation; never edits issue bodies without the maintainer's direction.

4k tokens
Magpie Issue Reassess Stats
by apache

| Read-only dashboard over a directory of `verdict.json` files produced by `issue-reassess` campaigns. Surfaces a health rating, classification distribution, partial-fix surfaces, oldest-unresolved buckets, and per-component breakdowns. Output is HTML by default; markdown fallback available. Read-only on tracker state; consumes campaign artefacts.

9k tokens
Magpie Issue Deduplicate
by apache

| Merge two open `<issue-tracker>` issues that describe the same root cause, preserving both reporters' context. Proposes a closing comment on the duplicate and a cross-reference comment on the kept issue. Waits for maintainer confirmation before posting anything or closing anything.

4k tokens
Magpie Issue Fix Workflow
by apache

| For a single triaged `<issue-tracker>` issue confirmed as a bug or feature, draft a fix against `<upstream>` on `<default-branch>`. Produces the failing test, the smallest production change, the targeted+module test runs, and the commit. The PR is NOT opened on autopilot; the human committer reviews, signs, and pushes. Hand-back artefact summarises branch, commits, test results, and scope.

6k tokens
Magpie Issue Backlog Stats
by apache

| Read-only maintainer dashboard for the open general-issue backlog of <issue-tracker>. Surfaces a health rating, prioritised recommendations, age and staleness breakdowns, area pressure ranking, and a triage-funnel summary. Output is HTML by default; markdown fallback available.

5k tokens
Magpie Issue Reproducer
by apache

| For a single `<issue-tracker>` issue identifying a code-level bug, extract the reporter's example code from the issue body, adapt it to run on the current `<default-branch>`, execute via `<runtime>`, and compose a `verdict.json` describing the observed behaviour vs the expected failure. Read-only on the tracker — produces evidence, never posts. Invoked by `issue-triage` and `issue-reassess`; can also be run standalone.

18k tokens
Magpie Issue Stale Sweep
by apache

| Sweep open `<issue-tracker>` issues for inactivity past a configurable threshold and propose either a closure (when the issue has been unresponsive long enough to presume abandonment) or an update request (nudge the reporter to confirm the issue is still relevant). Waits for maintainer confirmation before posting any comment or closing anything.

6k tokens
Magpie Issue Reassess
by apache

| Sweep a configured pool of resolved or end-of-life `<issue-tracker>` issues and re-assess each against the `issue-reproducer` to extract and run the reporter's code, classify the runtime outcome, attach a nature analysis, no comments posted, no transitions, no closures.

10k tokens
Magpie Issue Triage
by apache

| For each open `<issue-tracker>` issue in the configured candidate pool, read the issue body and comments and classify the candidate disposition. On user confirmation, posts a triage-proposal comment that invites the project team to react. Read-only on tracker state — no workflow transitions, closures, or label changes. Six classes in the body.

8k tokens
Magpie License Compliance Audit
by apache

| Read-only license compliance audit for one repository or a local checkout. Checks that a LICENSE file exists, that a NOTICE file is present and complete when required by the declared license, and that source files carry SPDX-License-Identifier headers consistent with the project's declared license. Produces a grouped compliance report and proposes remedies for maintainer review. Never modifies any file.

3k tokens
Magpie Newcomer Issue Explainer
by apache

| Given an open good-first-issue on the configured `<upstream>` repo, files to read first, what "done" looks like, and where to ask follow-up questions — without writing any code or fix. First runs an issue assessment to confirm the issue is open, non-security, and scope-clear. Then drafts the explanation for maintainer review. Read-only; nothing is posted without explicit maintainer confirmation.

3k tokens
Magpie List Skills
by apache

| Print a human-readable index of every skill in this repository, grouped by family prefix (`pr-management`, `security`, `setup`, …) with each skill's name and the first sentence of its `description`. The listing is generated on every run from the live `.claude/skills/*/SKILL.md` files, so it never goes stale when skills are added, removed, or rewritten.

2k tokens scripts
Magpie Mentoring Welcome
by apache

| Draft a first-contact orientation comment for a first-time contributor on a newly opened issue or PR on the configured `<upstream>` repo. Detects first-time authorship via the GitHub `author_association` field and drafts a welcome with contributing-guide link, community-norm pointers, and expected next steps. Waits for explicit maintainer confirmation before posting. Does not post for repeat contributors.

4k tokens
Magpie Onboarding Concierge
by apache

| Answer a newcomer's "how do I contribute here" question by grounding the response in `CONTRIBUTING.md` and the project's own docs. Classifies the question (setup / workflow / first-issue / out-of-scope), retrieves the relevant guide excerpt, and drafts a concise answer in the Agentic Mentoring teaching register. Routes out-of-scope questions (design, security, deprecation, architectural taste) to a human maintainer. Read-only; produces a draft answer text — no files are written and no comments are posted without the maintainer's explicit action.

3k tokens
Magpie Pairing Multi Agent Review
by apache

| Fan a local diff through three independent, axis-focused review passes (correctness, security, conventions), then merge the findings into a single structured report. Each pass is isolated so findings from one axis cannot suppress or bias the others. The merged report uses the same format as pairing-self-review so the developer gets a consistent signal regardless of which Agentic Pairing skill they invoke.

3k tokens
Magpie Optimize Skill
by apache

| Optimize an existing framework skill (or sweep a set of them) by applying the restructuring patterns proven on the security-skill lift concrete/project-specific values out of the body into `<project-config>` placeholders, replace in-agent-context body reads with out-of-context tool calls, batch per-item fetches into a single upfront pass, and add a deterministic pre-flight no-op classifier ahead of LLM passes. Every change is a behavior- preserving proposal the maintainer signs off on; the skill validator must stay green before and after. The refactoring sibling of `write-skill` (which authors net-new skills).

6k tokens
Magpie Pr Management Mentor
by apache

| Draft a teaching-register comment on a single GitHub issue or PR thread on the configured `<upstream>` repo, aimed at a contributor who is missing repo context the maintainer would otherwise have to spell out. The skill reads the thread, decides whether a mentoring intervention is warranted, drafts one comment per the project's tone guide and convention pointers, and waits for explicit maintainer confirmation before posting via `gh`. Escalates to the configured maintainer team on the four hand-off triggers.

6k tokens
Magpie Pr Management Quick Merge
by apache

| Identify trivial, low-risk pull requests in the `ready for maintainer review` queue of <upstream> that pass every quality gate and touch only supplementary areas (docs, changelog, translations, tests) — the "express lane" a maintainer can review and merge in seconds. Surfaces and ranks candidates with per-PR diff summaries, an all-gates-green attestation, and the exact merge command. On the maintainer's explicit per-PR confirmation it can submit an APPROVE review (the maintainer's own review of the trivial diff — useful when the PR has no approvals yet and branch protection needs one), exactly as pr-management-code-review does. It never merges itself — automated merge is the framework's deliberately-deferred Agentic Autonomous mode; the maintainer runs the printed merge command in their own session.

11k tokens
Magpie Pairing Self Review
by apache

| Run a structured pre-flight self-review on local changes before opening a PR. upstream default branch), checks correctness, security, and project conventions, and returns a structured report to the developer. No state changes, no PR, no external writes — the report is the output.

2k tokens
Magpie Pr Management Code Review
by apache

| Walk a maintainer through deep, sequential code review of open pull requests on the configured `<upstream>` repo. Defaults to the **"my reviews"** queue (the union of five maintainer signals — see the Inputs table); selectors can narrow to a single PR, an area label, or a collaborator subset. Drafts an `approve` / `request-changes` / `comment` review per PR and posts on the maintainer's confirmation.

39k tokens
Magpie Pr Management Stats
by apache

| Read-only maintainer dashboard for the open-PR backlog of <upstream>. Surfaces a health rating, prioritised action recommendations, weekly closure velocity trends, area pressure ranking, and a triage-funnel breakdown — with the underlying area-grouped tables as a collapsible details section.

40k tokens
Magpie Pr Management Triage
by apache

| Sweep open pull requests on the configured `<upstream>` repo, classify each one against the project's quality criteria, propose a disposition, and — on the maintainer's confirmation — carry out the action via `gh`. Disposition / workflow-approve / ping-stale-reviewer / request author confirmation of readiness / mark `ready for maintainer review` / promote bot-authored draft. Does **not** perform code review — that lives in `pr-management-code-review`.

81k tokens scripts
Magpie Release Archive Sweep
by apache

| Scan the release distribution area (`dist/release/<project>/` when `release_dist_backend = svnpubsub`, or the configured distribution location), identify releases past the project's retention rule, and propose the backend-shaped command set to move them to the archive area. Read-only on the distribution surface; the RM executes every archival command as themselves.

4k tokens
Magpie Release Announce Draft
by apache

| Draft the `[ANNOUNCE]` email body and open (not merge) the site-bump PR for a promoted release of `<upstream>`. Reads release metadata from the planning issue and `<project-config>/release-management-config.md`; produces a ready-to-copy `[ANNOUNCE]` subject + body and proposes the site-bump PR. Never sends mail and never merges the PR without explicit RM confirmation.

5k tokens
Magpie Pr Stale Sweep
by apache

| Sweep open pull requests on the configured `<upstream>` repo for inactivity past a configurable threshold and propose either a conversion to draft (when the PR is open but has gone quiet) or a closure (when the PR has been abandoned long enough to presume the author has moved on). Waits for maintainer confirmation before converting or closing anything.

6k tokens
Magpie Pre First Pr Check
by apache

| Run a newcomer-focused pre-flight checklist on a local branch before opening a pull request. Checks CONTRIBUTING conventions, SPDX headers on new files, commit-message convention — then returns a structured checklist report. Read-only; no state changes, no PR, no external writes.

3k tokens
Magpie Release Audit Report
by apache

| Assemble a per-release audit record from lifecycle artefacts (planning issue, vote thread, artefact list, promote revision, and announcement URL) and propose a PR appending it to the project's audit log. Read-only on every release surface; the only write is a PR the RM reviews and a committer merges.

6k tokens
Magpie Release Prepare
by apache

| issue, the version-bump and changelog prep PR, or the post-release development-version bump PR. Reads release metadata from `<project-config>/release-trains.md` and `<project-config>/release-management-config.md`. Every output is a draft confirmed by the Release Manager before filing; the agent never marks a PR ready, never merges, and never closes any artefact.

6k tokens
Magpie Release Keys Sync
by apache

| Draft the diff that adds the Release Manager's public key to the project's KEYS file (`<keys-file-url>`), emit a paste-ready `svn` (or backend-equivalent) command sequence, remind the RM to upload to the configured keyserver, and validate the key meets the ASF strength floor. Never commits, never holds or reads the private key. Runs during release preparation, before RC signing begins.

4k tokens
Magpie Release Promote
by apache

| Emit the backend-shaped promotion command set for a release that has passed its vote. Reads the planning issue (must carry `vote-passed`), constructs the staging → release move for the configured distribution backend, checks PMC membership of the Release Manager, and proposes the `promoted` label. Never runs the promotion command itself and never publishes the release.

5k tokens
Magpie Release Rc Cut
by apache

| Emit the paste-ready command sequence to tag an RC, build artefacts, sign each artefact, generate checksums, and stage them to the adopter's distribution backend. Covers Steps 4–5 of the release-management lifecycle. Never runs any command locally — all sequences are emitted for the Release Manager to execute on their own machine with their own key and ASF credentials.

6k tokens
Magpie Reviewer Routing
by apache

| Given an open issue or PR, scores the project's configured reviewer roster across three signals — touched-area eligibility, git-history familiarity with the changed paths, and current open-review load — and proposes a primary reviewer (plus an optional backup). Read-only and without the maintainer's explicit confirmation. An unresolved roster produces an explicit NO ELIGIBLE REVIEWER signal, never a fabricated handle.

5k tokens
Magpie Release Verify Rc
by apache

| Read-only pre-flight verification of a staged release candidate (RC) for `<upstream>`. Checks artefact integrity (GPG signatures and checksums), Apache RAT licence headers, NOTICE/LICENSE completeness, prohibited-binary absence (including `.pyc` / `__pycache__`), source-tree integrity (no dangling symlinks or broken internal references), and version-string consistency. Emits a structured PASS / PASS-WITH-WARNINGS / FAIL report. Makes no state change; a `--post-to <planning-issue>` flag proposes a comment for explicit RM confirmation before any posting.

7k tokens
Magpie Release Vote Tally
by apache

| After the approval window closes, fetch the approval signal for an RC of `<upstream>`, classify each reply as +1 / 0 / -1 and binding or non-binding against the configured roster, produce the tally summary, and draft the `[RESULT] [VOTE]` email. Never sends mail and never applies a label without explicit RM confirmation.

5k tokens
Magpie Release Vote Draft
by apache

| Draft the `[VOTE]` email body and planning-issue comment for an RC of `<upstream>`. Reads RC metadata from the planning issue and `<project-config>/release-management-config.md`; produces a ready-to-copy `[VOTE]` subject + body and a proposed planning-issue comment. Never sends mail and never posts without explicit RM confirmation.

5k tokens
Magpie Security Cve Allocate
by apache

| Walk a security team member through allocating a CVE for an `<tracker>` tracking issue (governance-gated per `governance.cve_allocation_gate`). Prints the configured `<cve-tool>` allocation URL, waits for the allocated CVE ID, link field, cve allocated label, status-change comment, CVE JSON. Chains into `security-issue-sync` afterwards to reconcile the rest of the tracker.

10k tokens
Magpie Security Issue Deduplicate
by apache

| Merge two <tracker> tracking issues that describe the same root-cause vulnerability, preserving every reporter's credit, every mailing-list thread reference, and every independent attack-vector description. Updates the kept issue's body in place, closes the duplicate with the `duplicate` label, and regenerates the CVE JSON attachment so both finders land in `credits[]`.

8k tokens
Magpie Security Issue Fix
by apache

| Attempt to fix a security issue tracked in `<tracker>` by implementing the change in a public `<upstream>` PR. Runs `security-issue-sync` first to reconcile the issue's state, proposes an implementation plan, and on explicit user confirmation writes the change, opens a PR from the user's fork, and updates the `<tracker>` tracking issue. Public PR content is scrubbed so it does **not** reveal the CVE, the security nature of the change, or any link back to `<tracker>`.

12k tokens scripts

Claude Skills — questions

Answers built from the skills we actually parsed.

What is a Claude Skill?
A folder with a SKILL.md file: instructions that teach an agent to do one thing well, optionally with scripts and reference files alongside. The format is open and called Agent Skills — Claude Code, Codex and other agents read the same files. It is not a program you run; it is knowledge the agent loads when the task calls for it.
How is a skill different from an MCP server?
A server gives the agent new abilities — it connects to something and exposes tools. A skill gives the agent knowledge: how to use what it already has. They combine, and often literally: 11 350 of the skills here declare which MCP servers they need to work.
Why are there fewer skills here than in other catalogues?
Because we deduplicate by content. Of 79 566 files found on GitHub, 61 913 are unique — the rest is the same skill copied into someone else's repository, word for word. Catalogues that count files rather than skills show every copy as a separate entry.
What does the token count mean?
A skill is loaded into the model's context when it is used, so its size is a running cost on every request that touches it. We measure the whole folder, not just SKILL.md: one official skill is 377 tokens, another drags 83 files of fonts behind it.
How do I install a skill?
Copy the skill folder into ~/.claude/skills for personal use, or into .claude/skills inside a project. The agent picks it up by the name in the SKILL.md header — which is worth checking: 7 886 skills here share a name with another skill, and two of them cannot sit side by side.