Skills

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Developmentobra/superpowersFeatured

Fifteen skills that give a coding agent a full development process

Our takeIts premise is that models lack process discipline, not coding ability. The single best idea to steal is 'Rulings, not stalls': decide by default, and stop for a human only when an action is irreversible, touches a security-sensitive surface, leaks outside the worktree, or the plan is already too broken to continue. We adopted those four gates in our own pipelines.

v6.4.1 (2026-09-18), MIT, 289k stars — the largest single skill repository we have found. It chains brainstorming, spec writing, git-worktree isolation, planning, subagent execution, red-green TDD, two-way code review and verification-before-completion into one trunk workflow, and the README lists 16+ harnesses: Claude Code, Codex, Cursor, Gemini CLI, OpenCode, Kimi Code, Devin CLI and more.

Claude CodeCodexCursor

/plugin install superpowers@claude-plugins-official

Shellobra289.2k

Developmentmattpocock/skillsFeatured

The 38 skills Matt Pocock uses every day for real engineering

Our takeIt sells parts rather than a whole process: code-review, diagnosing-bugs and resolving-merge-conflicts each stand alone. grill-me, grilling and wait-what turn the agent around to interrogate your requirements, and nothing else in this batch does that. CONTEXT.md at the repo root decouples project vocabulary from generic skills — the cleanest version of that idea we have seen.

The personal working set of the author of Total TypeScript; the repo describes itself as real engineering, not vibe coding. 38 SKILL.md files, primary language Shell, grouped as engineering (18), productivity (7), misc (4) and in-progress (9). It explicitly rejects takeover-style frameworks such as GSD, BMAD and Spec-Kit in favour of small, easy to adapt, composable.

Claude Code

claude plugins install mattpocock-skills

Shellmattpocock266.4k

Official & Collectionsanthropics/skillsFeatured

The official repo from the format's author: 19 skills plus spec and template

Our takeIf you want to know how a SKILL.md is actually supposed to be written, read this instead of any second-hand tutorial. Two things to know first: docx, pdf, pptx and xlsx are source-available rather than open source (the other 15 are Apache-2.0), and the repo carries its own disclaimer — these skills are demos, so test them in your environment before trusting them with anything critical.

Anthropic's own implementation, 177k stars: 19 skills under ./skills plus ./spec (the Agent Skills specification, now at agentskills.io) and ./template as a scaffold. Its definition of a skill is folders of instructions, scripts and resources loaded dynamically, and progressive disclosure comes straight from here.

Claude Code

/plugin marketplace add anthropics/skills

Pythonanthropics177.3k

Design & Frontendnextlevelbuilder/ui-ux-pro-max-skillFeatured

Design knowledge as searchable local data: 79 styles, 192 palettes, 119 UX rules

Our takeIts sharpest self-description is that models can write CSS but lack a taste database. Ten rule categories are ordered by severity, with Accessibility and Touch & Interaction first as CRITICAL and Charts last — that ordering is the stance. The Design System Generator runs five parallel searches, and the repo states plainly: do not persist unverified output, so a generated design system has to be checked before it lands in your repo.

v2.13.0, MIT, 129k stars, site uupm.cc. Instead of lecturing the model it ships structured catalogues the agent queries before writing code: 79 UI styles, 192 palettes with reasoning, 74 type pairings, 119 UX rules, 105 icon suggestions, 17 GSAP presets, 25 chart types, 22 stacks and 34 landing-page patterns.

Any agent

npx ui-ux-pro-max-cli init --ai claude

Pythonnextlevelbuilder129.3k

KnowledgeGraphify-Labs/graphifyFeatured

Map the whole project into a queryable knowledge graph instead of grepping

Our takeThe design that matters most: every edge is labelled EXTRACTED or INFERRED, so you can tell what the source explicitly contains from what the tool inferred — which makes an agent's conclusions auditable, a hard requirement in production. It is not a vector index: no embeddings, no vector store, a real graph you can explain, path and query. In its own benchmark, building the graph costs zero LLM spend and ingest is an order of magnitude cheaper, a structural win from local parsing.

YC S26, Apache-2.0, 120k stars, Python 3.10+. /graphify . maps code, docs, PDFs, images and videos into a graph and emits a clickable graph.html, a human-readable GRAPH_REPORT.md and a machine-readable graph.json. Code goes through tree-sitter AST parsing (about 40 languages): deterministic, no LLM calls, nothing leaves the machine.

Claude CodeCodexCursor

uv tool install graphifyy && graphify install

PythonGraphify-Labs119.9k

Official & CollectionsComposioHQ/awesome-claude-skillsFeatured

A curated index of 1000+ skills, plus one genuinely unique connect-apps plugin

Our takeThere is no one-liner that installs this repo; use it as a discovery layer. A list answers what exists, not what is worth running. The part you cannot get elsewhere is connect-apps-plugin: a single MCP endpoint to 1000+ integrations with authentication, team-level ACLs and audit logs, which is exactly the governance problem enterprises hit when agents touch SaaS.

A list maintained by Composio at 75k stars with an Apache-2.0 badge in the README. About 31 first-party skill directories physically exist here while the index references 864 SKILL.md files, and most of the difference is links out to external repositories. Coverage explicitly extends beyond Claude.ai and Claude Code to Codex, Cursor, Gemini CLI and Antigravity.

Any agent

claude --plugin-dir ./connect-apps-plugin

PythonComposioHQ75.4k

ResearchzLanqing/codex-claude-academic-skills

Three Chinese-first research skills that run on both Claude Code and Codex

Our takeThe part worth copying is that academic integrity is written as instructions: no fabricated data, DOIs or journals, and every piece of content is classified as quotation, confirmed fact, reasonable inference or writing suggestion, so the author can see at a glance which sentences have a source. The real danger in academic writing is not weak prose but a model writing inference as though it were established fact, and that four-way split blocks exactly that. The three skills also compose: figures, then body text, then defence slides.

4,117 stars, MIT. research-writing handles drafting, revising and polishing paper sections plus rebuttals; office-academic generates and edits academic Word and PPT at the OOXML layer (literature reports, group meetings, proposals, defences); scientific-toolkit covers MATLAB/Python simulation, signal processing, statistics, machine learning and paper figures, with literature search across arXiv, PubMed, CrossRef, Semantic Scholar and OpenAlex.

Claude CodeCodex

git clone https://github.com/zLanqing/codex-claude-academic-skills && cp -r codex-claude-academic-skills/research-writing-skill ~/.claude/skills/

PythonzLanqing4.1k

Data & Analyticstradermonty/claude-trading-skills

74 trading skills for process and risk, explicitly not for signals

Our takeWhat earns trust is the self-limitation: it states it is not designed for fully automated trading, signal outsourcing or scalping, a long disclaimer tops the README, and the licence is MIT 'AS IS'. The swing workflow runs drawdown-circuit-breaker and pre-trade-discipline-gate before any screener — risk gates before tickers. That ordering is the soul of the design and the opposite of most tools that lead with a list of picks.

2,867 stars, MIT, Japanese README included. 74 skills across 8 categories, 58 production and 16 beta, all governed by one canonical skills-index.yaml where each entry carries a verification matrix (data source, required or recommended, standalone or workflow_step, maturity); the README catalogue is generated from it. YAML manifests under workflows/ chain the skills into executable flows enforced by a validator.

Claude Code

git clone https://github.com/tradermonty/claude-trading-skills && cp -r claude-trading-skills/skills/backtest-expert ~/.claude/skills/

Pythontradermonty2.9k

Research199-biotechnologies/claude-deep-research-skill

An eight-phase deep research pipeline with an evidence ledger

Our takeThe soul is four append-only JSONL ledgers: sources, evidence, claims and run_manifest. Every factual claim must carry an inline [N] backed by evidence.jsonl, unsupported claims may not ship, and validate_report.py plus verify_citations.py check the result. The repo has no LICENSE file, which under default copyright means all rights reserved: you can read and run it locally, but get the author's permission before redistributing or using it commercially.

1,051 stars. Four intensity modes — Quick at 3 phases and 2-5 minutes, Standard at 6, Deep at 8, UltraDeep at 8+ and 20-45 minutes — running SCOPE, PLAN, RETRIEVE, TRIANGULATE, outline refinement, SYNTHESIZE, CRITIQUE, REFINE and PACKAGE, and emitting Markdown, a McKinsey-style HTML report and a PDF.

Claude Code

git clone https://github.com/199-biotechnologies/claude-deep-research-skill ~/.claude/skills/deep-research

Python199-biotechnologies1.1k

SecuritySushegaad/Claude-Skills-Governance-Risk-and-Compliance

36 compliance frameworks as individual .skill packages, with a published eval

Our takeMost compliance prompt packs only claim expert level; this one ships numbers — 180 test cases, 902 verifiable assertions, graded by independent agents, 89% with the skill against a 57% baseline. That gap says general models are shaky on fine-grained control mapping, which is the daily work of compliance. It carries its own disclaimer: not a substitute for licensed legal or audit opinion. Its value is making the first draft complete and correct, and a human still signs.

911 stars, MIT, v2.0.0, updated monthly. Information security covers ISO 27001, SOC 2, FedRAMP, NIST CSF, NIST SP 800-53 and CIS Controls v8; privacy covers GDPR, ISO 27701, CCPA/CPRA, LGPD and DPDPA; AI governance covers ISO 42001, NIST AI RMF and the EU AI Act; sector and country law covers HIPAA, PCI DSS, DORA, SWIFT CSP, TISAX, SOX ITGC, EU NIS2/CRA/CSRD and ITAR/EAR.

Claude Code

/plugin marketplace add Sushegaad/Claude-Skills-Governance-Risk-and-Compliance

HTMLSushegaad911

MediaYusuke710/manim-skill

Let Claude Code produce 3Blue1Brown-style explainers with Manim

Our takeStep three is the point: the agent owns the render-until-success loop instead of handing errors back to you. That is exactly where Manim costs humans the most, since one wrong coordinate means another ten-second re-render. The repo also writes 'avoid generic AI slop aesthetics' into its goals, treating taste as a requirement rather than luck, and keeps plan.md as a separate file so iteration does not require re-explaining context.

156 stars, MIT, site manimate.ai. Four steps: Plan (storyboard, optionally in plan mode), Code (write Manim scenes in Python), Render (keep going until every scene renders successfully) and Iterate (open the video viewer in a browser and paste your notes back). The project layout is fixed as plan.md, script.py, concat.txt and final.mp4.

Claude Code

/plugin marketplace add Yusuke710/manim-skill

HTMLYusuke710156

Site Opslocal/wechat-editorLive

wechat-editor: the agent owns content, the server owns WeChat format

Our takeFormulas and diagrams survive because they are pre-rendered server-side: headless Chromium via Playwright plus MathJax tex-svg turns inline and display math into inline SVG, Mermaid goes through the same path, and WeChat supports SVG natively so nothing blurs on zoom. The other rule to remember is that publishing is asynchronous — a 200 only means WeChat accepted the submission, and real status has to be polled with freepublish/get.

WeChat Official Accounts strip style blocks, class attributes and external resource references, so syncing a paper deep-read or blog post there is not copy and paste but a format rewrite plus a resource migration. The split: the agent fetches the article, writes the title (max 64 characters) and digest (max 120) and picks a cover; the server converts to inline HTML, uploads images to WeChat's own image service and rewrites URLs, creates a draft via draft/add and submits for publishing when asked.

Codex

Agientry