A disciplined coding pipeline that grounds code in verified structure before a line is written: Discuss -> Map -> Decompose -> Execute -> Verify, with a lazy-senior-dev YAGNI ladder that deletes unnecessary code first. No invented APIs, no assumed imports, no placeholder code. Opt-in for high-stakes, complex, or multi-file work; not for trivial edits. Synthesizes four MIT/open-source projects (Ralph, GSD Core, Graphify, Ponytail).
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
355 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools.
The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents. Reusable expertise packages covering engineering, DevOps, marketing (incl. AEO — Answer Engine Optimization for LLM citation), security (PreToolUse hooks), compliance, C-level advisory (incl. founder-mode CFO/CMO/CRO/CPO/COO/CHRO/CISO/GC/CDO/CAIO/CCO/VPE personas + 21 /cs:* slash commands), productivity (capture/email/reflect), an academic research stack (litreview/grants/dossier/patent/syllabus/pulse/notebooklm/deep-research + hybrid router), and enterprise Research Operations (clinical-research/research-finance/market-research/product-research, v2.9.0).
Works with: Claude Code · OpenAI Codex · Gemini CLI · OpenClaw · Hermes Agent1 · Mistral Vibe2 · Cursor · Aider · Windsurf · Kilo Code · OpenCode · Augment · Antigravity
5,200+ GitHub stars — the most comprehensive open-source Claude Code skills & agent plugins library.
Claude Code skills (also called agent skills or coding agent plugins) are modular instruction packages that give AI coding agents domain expertise they don't have out of the box. Each skill includes:
One repo, thirteen platforms. Works natively as Claude Code plugins, Codex agent skills, Gemini CLI skills, Hermes Agent skills, Mistral Vibe skills, and converts to more tools via scripts/convert.sh. All 602 Python tools run anywhere Python runs.
| Skills | Agents | Personas | |
|---|---|---|---|
| Purpose | How to execute a task | What task to do | Who is thinking |
| Scope | Single domain | Single domain | Cross-domain |
| Voice | Neutral | Professional | Personality-driven |
| Example | "Follow these steps for SEO" | "Run a security audit" | "Think like a startup CTO" |
All three work together. See Orchestration for how to combine them.
# Clone the repository
git clone https://github.com/alirezarezvani/claude-skills.git
cd claude-skills
# Run the setup script
./scripts/gemini-install.sh
# Start using skills
> activate_skill(name="senior-architect")
# Add the marketplace
/plugin marketplace add alirezarezvani/claude-skills
Hermes Agent is BYO-sync tier: the repo ships a pre-generated .hermes/skills/claude-skills/ tree, but you run python scripts/sync-hermes-skills.py once locally to install into ~/.hermes/skills/. Uses the same agentskills.io SKILL.md standard — no format conversion. ↩
Mistral Vibe is also BYO-sync tier: the repo ships a pre-generated .vibe/skills/claude-skills/ tree, run ./scripts/vibe-install.sh once locally to install into ~/.vibe/skills/. Same agentskills.io SKILL.md standard — no format conversion. Docs: https://docs.mistral.ai/mistral-vibe/agents-skills. ↩
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npx claudepluginhub motivatedc-creator/saafy --plugin zero-hallucination-coderHypothesis testing, A/B experiment analysis, sample size calculation, and confidence intervals. 3 stdlib-only Python tools with Z-test, t-test, chi-square, effect sizes, power analysis, and Wilson score intervals.
motivatedc-creatorPremium single-file HTML landing page generator with GSAP 3D animations, scroll-triggered effects, and mouse-parallax depth. Forcing 3-4 question grill-me intake (product+pitch, audience register, brand overrides, tone) locks down positioning before any copy or markup is written. Outputs a single self-contained HTML file (Claude Code) or HTML artifact (Claude.ai) with all CSS/JS inline — only externals are Google Fonts + GSAP via CDN. Configurable brand colors via CSS custom property overrides. Source spec: megaprompts/04-landing-megaprompt.md (PR #657). Distinct from product-team/skills/landing-page-generator (which outputs Next.js TSX for conversion-optimized lead-gen) — this skill is for premium visual one-pagers with motion design.
motivatedc-creatorArquiteto de Empresa (PT-BR): constrói um negócio do zero como um bundle OKF (Open Knowledge Format) — uma árvore de arquivos .md versionáveis com frontmatter type, links formando grafo, e index.md/log.md reservados, legível por humanos e por agentes. Conduz o fundador por uma entrevista de 12 fases (fundação, estratégia, mercado, financeiro, comercial, marketing, produto, operações, tech, pessoas, jurídico, governança), uma fase por vez, e gera os conceitos markdown conformantes. 3 ferramentas stdlib: scaffold_bundle (andaime do bundle), okf_linter (valida type/arquivos reservados/links), index_generator (regenera os index.md). Standalone-installable; também empacotado em c-level-skills.
motivatedc-creatorDisciplined, multi-source meta-research for high-stakes questions — the heavyweight alternative to the fast research router. Runs a 9-phase pipeline (reframe into falsifiable hypotheses → genre/blocks → plan → capability discovery → parallel sub-agent fan-out → score & triangulate → synthesize + adversarial pass → verify → refresh targets), triangulates every thesis against >=3 independent, differently-typed sources, saves each source to its own file with verbatim quotes, and never fabricates a citation. Output is an auditable, reusable folder with a delta-update refresh protocol. Use when a wrong answer is expensive: strategy, comparing N options, hypothesis validation, mapping a field.
motivatedc-creatorVP of Engineering advisory: delivery throughput analyzer (DORA 4 metrics + cycle-time bottleneck identification), eng hiring funnel calculator (7-stage conversion + pipeline gap + weakest-stage fixes), eng team structure designer (squad/tribe model + manager-trigger + director-trigger + span-of-control). 4 in-depth references: DORA framework, eng hiring funnel, eng team structure (Conway's Law), production discipline (on-call, incidents, deployment, SLOs). Stdlib-only. Standalone-installable; also bundled in c-level-skills. NOT a CTO skill — VPE owns how the team ships, CTO owns what to build.
motivatedc-creatorComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
JeffallanDevelop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Randroids-DojoComprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
anthropicsDesign fluency for frontend development. 1 skill with 23 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
pbakausUI/UX design intelligence. 84 styles, 161 palettes, 73 font pairings, 25 charts, 17 stacks (React, Next.js, Vue, Nuxt.js, Nuxt UI, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Jetpack Compose, Angular, Laravel, JavaFX, Three.js). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
nextlevelbuilderBehavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls
multica-ai