Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
48,168 skills from 2,325 repositories · updated 15 hours ago
48,168 skills
- variant-analysistrailofbits/skillsHunts for the other instances of a bug already found — the variants of one root cause across a codebase. Use immediately after a vulnerability, logic bug, or bad pattern turns up in a specific file and the question becomes where else it occurs, including the bare conversational form ("are there others like this?", "is this the same bug?"). Also for generalizing one known instance into a CodeQL or Semgrep query for its whole pattern family, and for triaging a set of look-alike candidates against a known root cause. Not for initial discovery with no bug in hand.SecurityNo warnings★ 7.9K↓ —
- anima-sdk-patternsjeremylongshore/tons-of-skills-marketplaceApply production-ready patterns for the Anima SDK design-to-code pipeline. Use when building reusable Anima client wrappers, implementing output caching, or establishing team standards for design-to-code automation. Trigger with: "anima SDK patterns", "anima best practices", "anima code patterns".DesignNo warnings★ 2.9K↓ —
- image-to-codeplugin87/ux-ui-agent-skillsTurn a reference image, screenshot, or mockup into token-driven, accessible code. Infer the design system from the reference (palette, type scale, spacing, radius, layout archetype), map it to the 3-tier tokens, rebuild it, then verify with the kit's gates. Use when the user provides a design/screenshot and wants matching UI code.MediaNo warnings★ 3.1K↓ —
- ops-orchestratedavepoon/buildwithclaudeAutonomous multi-project orchestration engine. Audits all registered projects, structures work into dependency-wired tasks, dispatches parallel agents (subagents or Agent Teams), audits completions, and ships PRs. Registry-driven — works for any user with a configured project registry.ProductivityNo warnings★ 3.7K↓ —
- gsd:plant-seeddavepoon/buildwithclaudeCapture a forward-looking idea with trigger conditions — surfaces automatically at the right milestonePlanningNo warnings★ 3.7K↓ —
- mutation-testingtrailofbits/skillsConfigures mewt or muton campaigns, analyzes surviving mutants, and investigates bugs exposed by testing gaps. Use when setting up mutation testing, reviewing campaign results, identifying equivalent mutants, or finding bugs from surviving mutations.TestingNo warnings★ 7.9K↓ —
- ctf-osintljagiello/ctf-skillsProvides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS records, username enumeration, reverse image search, Google dorking, Wayback Machine, Tor relays, FEC filings, or identifying unknown data like hashes and coordinates.MediaNo warnings★ 3.6K↓ —
- feature-specdavepoon/buildwithclaudeCreates a complete product feature specification with acceptance criteria, scope, dependencies, and risks. Delegates to the Prometeo (PM) agent.PlanningNo warnings★ 3.7K↓ —
- gsd:reviewdavepoon/buildwithclaudeRequest cross-AI peer review of phase plans from external AI CLIsEngineeringNo warnings★ 3.7K↓ —
- exploits-searchdavepoon/buildwithclaudeSearch for exploits across all vulnerabilities with filtering by ecosystem, severity, source, and EPSSSecurityNo warnings★ 3.7K↓ —
- fit-scoreraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "score this influencer", "rank these creators for our campaign", or "tell me which influencer is the best fit"; produces the typed STAR Suitability (S) read plus a separately labeled campaign-fit ranking without mixing campaign-specific commercial fit into the Suitability read. Not for finding new influencers — use influencer-discovery; not for sending outreach — use outreach-manager. 达人适配度评分/创作者筛选排名MarketingNo warnings★ 3K↓ —
- replay-regressiontrailofbits/skillsUse when independently verifying a supplied PoC against fresh live before/after deployments.DevOpsNo warnings★ 7.9K↓ —
- reproduce-regressiontrailofbits/skillsUse when deploying before/after systems and building a live-system PoC for a regression candidate.DevOpsNo warnings★ 7.9K↓ —
- hunt-regressionstrailofbits/skillsUse when discovering possible regressions from a pinned change and its callers before reproduction.OtherNo warnings★ 7.9K↓ —
- cross-repo-requestdavepoon/buildwithclaudeUse when work in this repo depends on a change in a different repo that has its own running Claude session (frontend needing a backend endpoint, backend needing a client change, a shared package bump). Covers finding the peer session, what to put in the request so it needs no follow-ups, and how to handle the reply.DesignNo warnings★ 3.7K↓ —
- principle-foundational-thinkingmichael-denyer/pstack-claudeApply before writing logic: choosing core types and data structures, sequencing scaffold-vs-feature work, asking what concurrent actors share. Get the data structures right so downstream code becomes obvious.WritingNo warnings★ 3.7K↓ —
- text-polisherZJU-REAL/Easel文本润色打磨：七轮聚焦扫描（清晰度/语气/价值感/证据/具体性/情感/风险） + 去 AI 感改写（砍填充短语、打破公式化结构、主动语态、变化节奏）。 当用户说"帮我改一下"、"润色"、"文案打磨"、"编辑文案"、 "去 AI 感"、"太像 AI 了"、"改自然"、"校对"、"文案优化"时使用。 合并了原 copy-editing（系统化编辑）和 stop-slop（去 AI 感）的能力。WritingNo warnings★ 4.2K↓ —
- atheristrailofbits/skillsSets up and runs Atheris, the coverage-guided Python fuzzer built on libFuzzer. Covers TestOneInput harnesses, FuzzedDataProvider, instrumenting both pure Python and native C extensions, and running under AddressSanitizer. Use when fuzzing a Python package, hunting memory corruption in a Python C extension, or choosing between Atheris and Hypothesis for a Python target.EngineeringNo warnings★ 7.9K↓ —
- design-codeplugin87/ux-ui-agent-skillsGenerate production-ready, accessible, token-driven component code for ANY framework (React+Tailwind, Next.js, SwiftUI, Vue, Svelte, Angular, Solid, Web Components/Lit, React Native, Flutter, Jetpack Compose, vanilla CSS, or CSS-in-JS). Use when the user wants working UI code for a component or screen in a specific stack.DesignNo warnings★ 3.1K↓ —
- scientific-brainstormingforyourhealth111-pixel/Vibe-SkillsOpen-ended scientific ideation partner. Use for research gaps, mechanism exploration, interdisciplinary connections, assumptions, possible research directions, and lightweight literature matrix or A+B paper-combination idea mapping. For structured testable hypotheses and validation plans, use hypothesis-generation instead.ScienceNo warnings★ 3.8K↓ —
- similarity-search-patternsforyourhealth111-pixel/Vibe-SkillsImplement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.OtherNo warnings★ 3.8K↓ —
- vaexforyourhealth111-pixel/Vibe-SkillsUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.DataNo warnings★ 3.8K↓ —Also in 1 other repo
- principle-fix-root-causesmichael-denyer/pstack-claudeApply when debugging. Trace each symptom back to the first place the system went wrong and fix it there. A guard is a fix only when the state it handles is legitimate.EngineeringNo warnings★ 3.7K↓ —
- evals-contextforyourhealth111-pixel/Vibe-SkillsProvides context about the Roo Code evals system structure in this monorepo. Use when tasks mention "evals", "evaluation", "eval runs", "eval exercises", or working with the evals infrastructure. Helps distinguish between the evals execution system (packages/evals, apps/web-evals) and the public website evals display page (apps/web-roo-code/src/app/evals).ProductivityNo warnings★ 3.8K↓ —
datamodel-code-generator
datamodel-code-generator/datamodel-code-generator
EngineeringUpdated 16 hours ago
From the author
Use this skill when the user wants Python data models, Pydantic models, dataclasses, TypedDicts, msgspec structs, or type-safe Python classes generated from OpenAPI, AsyncAPI, JSON Schema, GraphQL, JSON/YAML/CSV sample data, MCP tool schemas, Protocol Buffers, XML Schema, Apache Avro, or existing Python model objects. Use it for requests such as "Pydantic models from this schema", "types for this API", "parse this JSON into classes", or "convert this spec into Python models". Prefer the datamodel-codegen CLI over hand-written model code whenever an input schema, API spec, sample data file, or Python model object exists.
Install
npx skills add datamodel-code-generator/datamodel-code-generator --skill datamodel-code-generator -a claude-code
Installs to .claude/skills/datamodel-code-generator/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyUses the networkLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (4)
- SKILL.md
- references/cli-options.md
- references/troubleshooting.md
- references/workflows.md