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.
49.418 skill-uri din 2.407 depozite · actualizat acum 15 minute
49.416 skill-uri
- analyze-performance-call-and-learngooseworks-ai/goose-skillsStep of the analyze-performance playbook: calls ended tests, scores last week's calls, writes this week's kill/scale/hold calls and drafts learnings for the brand brain. Run analyze-performance instead; not for direct use.TestareFără avertismente★ 1,3 K↓ —
- evidence-based-reviewsrampstackco/claude-skillsProduce honest product reviews and buying guides without fabricated first-hand experience, using disclosed evidence tiers: verified specs, owner-experience synthesis at scale, expert triangulation, and hands-on only when true. Use this skill whenever the user wants to write product reviews or buying guides without hands-on access, set up a review methodology, add evidence disclosure to review content, align reviews with Google's reviews system or FTC affiliate disclosure expectations, or decide when Review and Product schema are honest to use. Triggers on product review, buying guide, best-of list, review methodology, evidence basis, hands-on testing, we tested, affiliate review site, review disclosure, methodology block, original research, reviews system. Also triggers when review content claims testing that did not happen, or when an affiliate site needs a trust mechanism that survives scrutiny.TestareFără avertismente★ 1 K↓ —
- analyze-performance-rank-and-readgooseworks-ai/goose-skillsStep of the analyze-performance playbook: ranks creative by angle, hook and format with spend gates, writes short per-channel reads and drafts what to make next. Run analyze-performance instead; not for direct use.RedactareFără avertismente★ 1,3 K↓ —
- research-audiencegooseworks-ai/goose-skillsAudience research: who the buyers are, in their own words, where they gather and how to reach them — plus named prospect lists when asked. Use when the marketer says "research our audience", "who should we target", "mine our reviews", "why do people buy us or leave", "where does our audience hang out"; or for lists: "find 50 right-fit leads with emails", "find retailers or accounts to pitch", "score these leads / who do we call first", "who's looking for an alternative to X", "tell me when a past champion changes jobs". Reads the brand's own customer data first and delivers a readable report saved to the brand. Never contacts anyone. Not for market size or trends — use research-market; not for writing the messages — use write-outreach.ȘtiințăFără avertismente★ 1,3 K↓ —
- interviewalirezarezvani/claude-skillsUse when someone has an agent idea to scope before launch ('help me scope an agent'). Interviews them about the one job and writes a build sheet with build_sheet_builder.py, checked by primitives_validator.py; no API key needed.PlanificareFără avertismente★ 29,3 K↓ —
- ad-campaign-analyzergooseworks-ai/goose-skillsAnalyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.MarketingFără avertismente★ 1,3 K↓ —
- run-organic-social-plan-calendargooseworks-ai/goose-skillsStep of the run-organic-social playbook: turns the audit, research and dated moments into a two-week grid of empty post slots. Run run-organic-social instead; not for direct use.PlanificareFără avertismente★ 1,3 K↓ —
- run-paid-campaigns-apply-and-loggooseworks-ai/goose-skillsStep of the run-paid-campaigns playbook: stages the week's approval items, applies only what the marketer approves and keeps the change log. Run run-paid-campaigns instead; not for direct use.AlteleFără avertismente★ 1,3 K↓ —
- brainstormingGanyuanRan/AegisUse when defining ambiguous or high-complexity new features, product behavior, UI/component design, architecture choices, contract changes, or when grilling/pressure-testing a plan or design. Routine small requests stay on the fast path.PlanificareFără avertismente★ 1,4 K↓ —
- sandbox-mcpalibaba/skill-upVerify Sandbox MCP can be installed and called from skill-up.AlteleFără avertismente★ 1,4 K↓ —
- contest-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Contest Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Contest Page.AlteleFără avertismente★ 1,1 K↓ —
- cloudbase-document-database-web-sdkActualizatTencentCloudBase/CloudBase-AI-ToolkitUse CloudBase document database Web SDK only for confirmed NoSQL collection work. Query, create, update, and delete document data; if the task mentions PostgreSQL / CloudBase PG / app.rdb(), route to postgresql-development instead.DateFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
- ai-model-nodejsTencentCloudBase/CloudBase-AI-ToolkitUse this skill for Node.js backend AI via @cloudbase/node-sdk (>=3.16.0) — cloud functions, CloudRun, Express/Koa/NestJS, serverless APIs, scheduled jobs, LLM proxies, agent orchestration. The only SDK supporting image generation (ai.createImageModel + generateImage). Text via ai.createModel with groups cloudbase, the legacy hunyuan-v3 / hunyuan-exp, or custom-*; model ids (e.g. deepseek-v4.1-flash, glm-5.3, kimi-k2.6) go in the `model` field of generateText/streamText. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web) or Mini Program (use ai-model-wechat).BrowserFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
- colt-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a COLT (Conference on Learning Theory) submission against prior bounds and models — building the known-versus-new comparison across COLT/ALT lineage, STOC/FOCS, NeurIPS-and-ICML theory tracks, statistics journals, and arXiv concurrency, while respecting anonymity and the parallel-submission rules.ȘtiințăFără avertismente★ 1,4 K↓ —
- research-audience-fit-definitiongooseworks-ai/goose-skillsStep of the research-audience playbook: drafts the searchable fit definition, exclusions and list size that the list run then searches on. Run research-audience instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- key-state-attributesno-ai/sno-stationChoose one offered state attribute for a stored statement about a named thing.AlteleFără avertismente★ 1 K↓ —
- analyze-performance-revenue-joingooseworks-ai/goose-skillsStep of the analyze-performance playbook: joins cleaned store or CRM numbers with ad spend to build the business-truth table, MER, new-customer cost and the overclaim ratio. Run analyze-performance instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- ap-independent-checkerSpielewoy/autoprompt-skillIndependently review the exact result and run its real checks in one context, using isolated resources and without changing the deliverable.InginerieFără avertismente★ 1,2 K↓ —
- inithashgraph-online/awesome-codex-pluginsFirst-time Archcore setup. Wires the host (MCP config, hooks, CLAUDE.md/AGENTS.md managed block), measures the authored context the repo already holds, then composes a first-day seed — stack rule, run guide, data-model, integrations, config, entry points, public surface, a linked architecture overview, and specs for the top hotspot modules — shown in ONE preview and created on a single confirm. Modes, named as the first word: init import converts the repo's authored context — CLAUDE.md, AGENTS.md, .cursor/rules and other agent instructions, ADR and RFC folders, contributor docs, internal pages of a published docs site, recoverable git history — into native typed documents with no import marks, staged by a plan when the volume is large; init refresh adds facts that appeared since, or drills into one domain with init refresh <domain>. Use on a fresh clone, empty `.archcore/`, 'set up archcore', 'migrate our CLAUDE.md to archcore', 'import our docs and ADRs', or to wire host configs. Not for individual docs or pPlanificareFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- scenario-war-roomalirezarezvani/claude-skillsUse for compound what-if questions ('what if X and Y both happen?') with major downside across functions. Models cascading scenarios with scenario_modeler.py.AlteleFără avertismente★ 29,3 K↓ —
- goose-product-photosgooseworks-ai/goose-skillsMake product photos (studio, lifestyle or on a model) of a brand's real products with GooseWorks in this chat. Start brand work with brand_knowledge_browse and follow the next_step in every answer.MediaFără avertismente★ 1,3 K↓ —
- doc-i18nYunYouJun/valaxyBilingual documentation translation and synchronization for path-based i18n projects. This skill should be used when users need to translate, compare, or synchronize documentation between Chinese and English versions. Triggers include requests to translate docs, sync i18n, compare zh/en docs, translate this page, check translation coverage, or any task involving bilingual Markdown documentation alignment. Supports both zh-to-en and en-to-zh translation directions.ProductivitateFără avertismente★ 1,1 K↓ —
- derive-metricmicrosoft/power-platform-skillsUse when a requested measure is missing, a saved custom metric needs reuse, or an ephemeral formula or derived scalar is needed.AlteleFără avertismente★ 1,1 K↓ —
- doca-ethNVIDIA/skillsUse this skill for hands-on DOCA Ethernet packet-queue work on a BlueField DPU or ConnectX NIC — bringing up a `doca_eth_rxq` or `doca_eth_txq` on a port / representor / SF, picking among the four `enum doca_eth_rxq_type` values (`_REGULAR` / `_CYCLIC` / `_MANAGED_MEMPOOL` / `_SHARED_MEMPOOL`), sizing burst or scatter-gather length against the `_cap_*` queries, submitting `doca_eth_txq_task_send` / `_lso_send` (carrying packet `doca_buf`s — no `doca_eth_frame` struct exists), or debugging DOCA_ERROR_* from an Ethernet call. `doca_eth_rxq` and `doca_eth_txq` are two Core contexts; one `doca_ctx_start()` does not cover both. Trigger on implicit phrasings: "my RX queue is up but no packets arrive", "send-task returns AGAIN at line rate", "which queue type for fixed-MTU ingress", "device open fails without sudo", or "is L3 checksum offload available here". Refuse and route elsewhere for installing DOCA, flow-rule / steering programming, host↔DPU control messaging, or RDMA data movement.InginerieFără avertismente★ 3,9 K↓ —
code-reviewer
alirezarezvani/claude-skills
InginerieActualizat acum 15 ore
De la autor
Use for any code review: a pull request, a diff, a commit, or a pasted function, handler or file in TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#/.NET, Java, C, C++, Rust, Ruby, PHP or Dart/Flutter. Applies per-language rule packs (security such as SQL injection and missing auth, async and resource handling, error handling, performance) and scripts that score a PR's risk and complexity, then gives a merge verdict with blocking and non-blocking findings. Use whenever the user asks to review, check or look over code, says 'code review', 'review this PR', 'review this diff' or 'is this safe to merge', or asks what is wrong with a snippet, even a single function.
Instalare
npx skills add alirezarezvani/claude-skills --skill code-reviewer -a claude-code
Se instalează în .claude/skills/code-reviewer/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Rulează scripturile incluseNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Securitate85
Proveniență94
Întreținere100
Licență100
Adopție69
Fișiere (31)
- README.md
- SKILL.md
- assets/sample_c_clean.c
- assets/sample_c_smells.c
- assets/sample_csharp_clean.cs
- assets/sample_csharp_smells.cs
- assets/sample_java_clean.java
- assets/sample_java_smells.java
- expected_outputs/sample_c_clean_quality.json
- expected_outputs/sample_c_smells_quality.json
- expected_outputs/sample_csharp_clean_quality.json
- expected_outputs/sample_csharp_smells_quality.json
- încă 19