Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
48.622 de skill-uri din 2.355 de depozite · actualizat acum 20 de ore
48.620 de skill-uri
- 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.SecuritateFără avertismente★ 7,9 K↓ —
- 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。RedactareFără avertismente★ 4,3 K↓ —
- adk-agent-builderjeremylongshore/tons-of-skills-marketplaceScaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional Vertex AI Agent Engine deployment. Use when building, scaffolding, or deploying ADK agents on Google Cloud, or when wiring ADK tools and orchestration patterns. Trigger with "build an ADK agent", "scaffold an agent on ADK", or "deploy to Agent Engine".DevOpsFără avertismente★ 2,9 K↓ —
- c-reviewtrailofbits/skillsPerforms comprehensive C/C++ security review for memory corruption, integer overflows, race conditions, and platform-specific vulnerabilities. Use when auditing native C/C++ applications, reviewing daemons or services for memory safety, or hunting integer overflow / use-after-free / race conditions in userspace code.InginerieFără avertismente★ 7,9 K↓ —
- hunt-regressionstrailofbits/skillsUse when discovering possible regressions from a pinned change and its callers before reproduction.AlteleFără avertismente★ 7,9 K↓ —
- 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.InginerieFără avertismente★ 7,9 K↓ —
- voice-cloneZJU-REAL/Easel上传本人语音样本克隆专属音色,再用它合成口播、旁白或带货语音。当用户说“声音克隆、克隆/复刻我的声音、用我的声音配音、定制专属音色”时使用,需要用户自备云端 provider 凭证。使用公共现成音色时改用 tts-voiceover。AlteleFără avertismente★ 4,3 K↓ —
- trailmark-structuraltrailofbits/skillsRuns full Trailmark structural analysis by building a graph, running `preanalysis()`, and reporting hotspots, taint, blast radius, privilege boundaries, attack surface, and version-gated Trailmark 0.4+/0.5+ data such as proxy counts, subgraph edges, type/reference summaries, and entrypoint attributes. Use when vivisect needs detailed structural data for a target. Triggers: structural analysis, blast radius, taint analysis, complexity hotspots, proxy nodes, type references.ProductivitateFără avertismente★ 7,9 K↓ —
- scientific-critical-thinkingforyourhealth111-pixel/Vibe-SkillsEvaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.ȘtiințăFără avertismente★ 3,8 K↓ —
- wiki-switchAr9av/obsidian-wikiList, create, or switch named Obsidian wiki vault profiles under the global config directory. Use when changing the active vault, checking which vault is active, or managing multi-vault profiles.ProductivitateFără avertismente★ 3,6 K↓ —
- replay-regressiontrailofbits/skillsUse when independently verifying a supplied PoC against fresh live before/after deployments.DevOpsFără avertismente★ 7,9 K↓ —
- exa-rate-limitsjeremylongshore/tons-of-skills-marketplaceBudget Exa throughput per endpoint and distinguish caller rate limiting from vendor overload and billing exhaustion. Use when operating or reviewing this Exa boundary. Trigger with "Exa rate limits", "review Exa rate limits", or "fix Exa rate limits".InginerieFără avertismente★ 2,9 K↓ —
- nemo-relay-get-startedNVIDIA/skillsUse this skill when first-time NeMo Relay users want help selecting and following an appropriate quick-start guide or verifying their first working integration. Do not use it for production rollout or broad integration development.AlteleFără avertismente★ 3,8 K↓ —
- performing-causal-analysisforyourhealth111-pixel/Vibe-SkillsEstimate causal effects from existing data. Use when fitting or interpreting DiD, ITS, synthetic control, regression discontinuity, or other treatment-effect analyses, including robustness checks and counterfactual plots. For choosing a study design before analysis, use designing-experiments instead.DesignFără avertismente★ 3,8 K↓ —
- datamodel-code-generatordatamodel-code-generator/datamodel-code-generatorUse 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.InginerieFără avertismente★ 4 K↓ —
- preserved_skilldatamodel-code-generator/datamodel-code-generatorGenerate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.DateFără avertismente★ 4 K↓ —
- j-rigjeremylongshore/tons-of-skills-marketplaceInspect and use the J-Rig refiner CLI to bootstrap evaluation metadata, score a skill with an authorized provider, propose edits and inspect stored candidates. Use when improving an existing SKILL.md with evaluation evidence. Trigger with "refine this skill", "bootstrap an eval set" or "skill refiner status".RedactareFără avertismente★ 2,9 K↓ —
- wiki-context-packAr9av/obsidian-wikiProduce a token-bounded, citation-ready context slice from an existing Obsidian vault for a downstream agent or task. Use for "/wiki-context-pack", "use my vault as context", "context slice for X", "pack the wiki for my agent", or "bounded context for Y".ProductivitateFără avertismente★ 3,6 K↓ —
- principle-test-behavior-not-implementationbacknotprop/pstackApply when you write, change, or keep a test. Assert what the code's users can observe, so that the test fails when that behavior breaks and keeps passing when only the internals change.TestareFără avertismente★ 3,3 K↓ —Apare și în 1 alt depozit
- shapforyourhealth111-pixel/Vibe-SkillsModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.InginerieFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- jetson-set-targetNVIDIA/skillsSwitch the active Jetson target-platform pointer to an existing profile YAML. Use before customize/build/flash to change target; not for authoring profiles — use jetson-init-target instead.AlteleFără avertismente★ 3,8 K↓ —
- wycheprooftrailofbits/skillsValidates cryptographic implementations against Project Wycheproof's test vectors, which encode known attacks and edge cases across AES, RSA, ECDSA, ECDH, and more. Covers loading test vectors, mapping result flags onto pass and fail expectations, and reading a failure. Use when testing a crypto implementation against known attacks, checking a library against standard test vectors, or investigating why two implementations disagree on the same input.TestareFără avertismente★ 7,9 K↓ —
- performance-analyzeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "analyze influencer campaign performance", "compare influencers", or "find what content worked"; produces metric scorecards vs target and benchmark, platform/influencer/content rankings, engagement-quality and sentiment reads, conversion-attribution breakdowns, and ranked learnings. Not for dollar-level return math — use roi-calculator. 达人营销效果分析/投放复盘MarketingFără avertismente★ 3 K↓ —
- miro-hello-worldjeremylongshore/tons-of-skills-marketplaceDesign and implement a bounded, read-only Miro connectivity probe that proves authorization context before writes are enabled. Use when smoke-testing a new Miro integration. Trigger with "test Miro connection".TestareFără avertismente★ 2,9 K↓ —
principle-encode-lessons-in-structure
michael-denyer/pstack-claude
De la autor
Apply when you catch yourself writing the same instruction a second time, or notice a recurring correction. Encode the rule as a lint, metadata flag, runtime check, or script instead of more text.
Instalare
npx skills add michael-denyer/pstack-claude --skill principle-encode-lessons-in-structure -a claude-code
Se instalează în .claude/skills/principle-encode-lessons-in-structure/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Verificări de siguranță pe SKILL.md
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- SKILL.md