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.
48.168 de skill-uri din 2.325 de depozite · actualizat acum 12 ore
47.055 de skill-uri
- email-campaignmohitagw15856/pm-claude-skillsWrite and sequence multi-email nurture or launch campaigns. Use when asked for an email sequence, drip campaign, onboarding emails, product launch emails, or nurture flow. Produces subject lines, preview text, full email body, and send-timing recommendations for each email in the sequence.MarketingFără avertismente★ 1,5 K↓ —
- logo-generatorkostja94/marketing-skillsDeprecated compatibility entry for Logo construction. This component is now maintained in Bricks; install and use component-builder to build a new Logo.AlteleFără avertismente★ 1,1 K↓ —
- deployment-config-guidealibaba/skill-upAsk for missing deployment settings and summarize the requested configuration without deploying it.DevOpsFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- security-auditcloudflare/security-audit-skillSecurity guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons. Use for security questions, focused reviews, vulnerability research, security audits, or pen tests. Run the complete workflow only for explicit codebase audit or pen-test requests, full/comprehensive/end-to-end reviews, or requested report artifacts.OficialSecuritateFără avertismente★ 54,8 K↓ —
- md-reviewalirezarezvani/claude-skillsUse when converting a markdown code review with diff blocks and severity callouts into a two-column HTML review. Parses diffs with diff_parser.py and annotations with annotation_extractor.py; requires a named reviewer.InginerieFără avertismente★ 29,1 K↓ —
- writing-guidelinesvercel-labs/agent-skillsReview docs/prose for Writing Guidelines compliance. Use when asked to "review my docs", "check writing style", "audit prose", "review docs voice and tone", or "check this page against the writing handbook".OficialRedactareFără avertismente★ 33,3 K↓ —
- discovertaishi-i/awesome-japanese-nlp-resourcesGiven a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.ȘtiințăFără avertismente★ 1 K↓ —
- comparetaishi-i/awesome-japanese-nlp-resourcesCompare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as a ○/△/✕ table. Use when the user wants a side-by-side comparison of multiple Japanese NLP tools/libraries/datasets, not just the single best one. Trigger phrases include 'X と Y と Z を比較して', '形態素解析ライブラリを比較', 'MeCab と Sudachi どっちがいい', 'どのツールを使うべき', 'compare japanese tokenizers', 'mecab vs sudachi vs janome', 'which embedding model should I use', '日本語NERライブラリの比較表', 'pros and cons of japanese OCR tools'. For a single ranked list use search; for alternatives to one specific tool (or contribution candidates) without a multi-axis table, use discover.MediaFără avertismente★ 1 K↓ —
- notebooklmalirezarezvani/claude-skillsUse for anything in Google NotebookLM: querying notebooks, adding sources, generating Audio or Video Overviews, reports, flashcards or slides. Drives the browser; needs browser automation.DocumenteFără avertismente★ 29,1 K↓ —
- pricing-strategistalirezarezvani/claude-skillsUse when choosing or revisiting pricing: seat, usage, value-based, freemium or hybrid, Van Westendorp willingness-to-pay analysis, or Good/Better/Best tiers. Runs pricing_model_picker.py, wtp_analyzer.py and packaging_designer.py and returns a range, not one number.AlteleFără avertismente★ 29,1 K↓ —
- rag-design-docmohitagw15856/pm-claude-skillsDesign a Retrieval-Augmented Generation system end to end. Use when asked to design a RAG pipeline, a 'chat with your docs' feature, a knowledge assistant, or to debug why a RAG system gives wrong/ungrounded answers. Produces a RAG design doc — ingestion & chunking, embeddings & index, retrieval & reranking, the generation prompt, grounding/citations, evaluation, and failure modes with mitigations.DesignFără avertismente★ 1,5 K↓ —
- influencer-marketingkostja94/marketing-skillsWhen the user wants to plan, implement, or optimize influencer marketing strategy. Also use when the user mentions "influencer marketing," "KOL," "creator partnership," "brand ambassador," "sponsored content," "influencer campaign," "micro-influencer," "influencer outreach," "creator collaboration," or "influencer deal." For creator programs, use creator-program.MarketingFără avertismente★ 1,1 K↓ —
- integrated-marketingkostja94/marketing-skillsWhen the user wants to plan integrated marketing, coordinate channels, or clarify program vs channel vs campaign. Also use when the user mentions "IMC," "integrated marketing," "channel mix," "marketing program," "PESO model," "integrated marketing communications," "omnichannel marketing," "channel strategy," "marketing mix," or "cross-channel campaign." For content planning, use content-marketing.MarketingFără avertismente★ 1,1 K↓ —
- product-namingmohitagw15856/pm-claude-skillsGenerate and evaluate names for a product, feature, or release. Use when asked to name a product/feature/company, brainstorm naming options, or choose between name candidates. Produces a shortlist of names across naming strategies, each with rationale, plus an evaluation against clear criteria (clarity, fit, memorability, availability checks to run) and a recommendation — not just a random list.PlanificareFără avertismente★ 1,5 K↓ —
- judge-task-lifecyclesno-ai/sno-stationJudge how a memory changes active-task state and whether it refers to an existing task. Use for mem-claw task-lifecycle model calls.ProductivitateFără avertismente★ 1,1 K↓ —
- the-strong-nomohitagw15856/pm-claude-skillsFind the real reason to NOT do the exciting thing you're about to commit to — the honest case against, before the excitement carries you in. Use when asked talk me out of this, should I really do this, what's the case against, or I'm excited but is this a mistake. Produces the strongest honest argument for not doing it, the excitement biases clouding your judgment, the specific conditions under which this is a bad idea for you, and a clear read on whether the strong no actually wins — protecting you from the plans that feel great and end badly.PlanificareFără avertismente★ 1,5 K↓ —
- create-flowmicrosoft/power-platform-skillsGuided flow creation wizard. Use when the user wants to create a new flow interactively. Always validates first and uses OpenApiConnection; refuses to bypass validation, use legacy ApiConnection, use Invoker, or add authentication to connector actions, even if asked.AlteleFără avertismente★ 1,1 K↓ —
- 01-graders-and-pipelineagentscope-ai/OpenJudgeBuild custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build an automated evaluation system.DesignFără avertismente★ 1 K↓ —
- 02-ref-hallucination-arenaagentscope-ai/OpenJudgeBenchmark LLM reference recommendation capabilities by verifying every cited paper against Crossref, PubMed, arXiv, and DBLP. Measures hallucination rate, per-field accuracy (title/author/year/DOI), discipline breakdown, and year constraint compliance. Supports tool-augmented (ReAct + web search) mode. Use when the user asks to evaluate, benchmark, or compare models on academic reference hallucination, literature recommendation quality, or citation accuracy.ȘtiințăFără avertismente★ 1 K↓ —
- planning-with-files-esOthmanAdi/planning-with-filesPlanificación persistente basada en archivos para tareas multipaso de agentes de IA. Mantiene task_plan.md, findings.md y progress.md en disco; los hooks del ciclo de vida inyectan contexto seleccionado de planificación del proyecto. La recuperación automática solo lee los archivos de planificación del proyecto. session-catchup.py --metadata, solicitado de forma explícita, puede inspeccionar metadatos locales de sesiones del mismo proyecto; --replay puede emitir extractos limitados y enmarcados con nonce. El modo con gate opcional solo puede solicitar que el host continúe si este lo admite y nunca ejecuta comandos declarados en Markdown. El skill no tiene ninguna ruta de carga por red. Úsalo para investigación o trabajo que requiera 5 o más llamadas a herramientas.PlanificareFără avertismente★ 27,8 K↓ —
- pricing-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Pricing Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Pricing Page.AlteleFără avertismente★ 1,1 K↓ —
- meta-evalagentscope-ai/OpenJudgeUse when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessing RAG accuracy, or wants to compare prompts/models. This skill is the entry router: it asks diagnostic questions then recommends which sub-skill (local workflow) to use next.TestareFără avertismente★ 1 K↓ —
- senior-fullstackalirezarezvani/claude-skillsUse when starting a fullstack project, choosing a stack (Next.js, FastAPI, MERN, Django) or auditing a codebase's quality. Picks the stack with fullstack_decision_engine.py, scaffolds with project_scaffolder.py and scores code with code_quality_analyzer.py.InginerieFără avertismente★ 29,1 K↓ —
- experiment-designeralirezarezvani/claude-skillsUse when planning product experiments, writing testable hypotheses, estimating sample size, prioritizing tests, or interpreting A/B outcomes with practical statistical rigor.TestareFără avertismente★ 29,1 K↓ —
subagent-driven-development
GanyuanRan/Aegis
De la autor
Use when executing a written implementation plan with independent tasks in the current session where delegation beats inline coordination cost; otherwise inline. Ad-hoc 2+ tasks without a plan use dispatching-parallel-agents.
Instalare
npx skills add GanyuanRan/Aegis --skill subagent-driven-development -a claude-code
Se instalează în .claude/skills/subagent-driven-development/ · 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
Niciun avertisment.
De ce 88
Fișiere (4)
- SKILL.md
- code-quality-reviewer-prompt.md
- implementer-prompt.md
- spec-reviewer-prompt.md