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.
49.103 skill-uri din 2.358 de depozite · actualizat acum 25 de minute
48.054 de skill-uri
- raci-matrixmohitagw15856/pm-claude-skillsDefine a RACI matrix for a cross-functional project or process. Use when asked to build a RACI, create a responsibility matrix, clarify ownership across teams, or document decision rights. Produces a complete RACI matrix with role definitions, decision mapping, and a process for resolving conflicts.AlteleFără avertismente★ 1,5 K↓ —
- routing-card-authoringagentlas-ai/Agentlas-OSUse whenever a build emits or repairs .agentlas/routing-card.json — the shared card contract for the single-agent builder, the team builder, and the packager. States what belongs in every field, which fields the hub can actually match on, and which fields silently break matching when a sentence leaks into them.JuridicFără avertismente★ 1,6 K↓ —Apare și în 2 alte depozite
- rfp-writermohitagw15856/pm-claude-skillsWrite a clear Request for Proposal that gets comparable, high-quality vendor bids. Use when asked to write an RFP, a request for proposal/quote/tender, or to solicit and compare vendor proposals. Produces a complete RFP — background, scope of work, requirements, evaluation criteria with weights, submission instructions, and timeline — structured so responses are easy to compare apples-to-apples.RedactareFără avertismente★ 1,5 K↓ —
- ap-execharness-resolverSpielewoy/autoprompt-skillReport the compatibility redirect to `ap-worker`; this retired role cannot perform new work.AlteleFără avertismente★ 1,2 K↓ —
- asc-workflowrorkai/app-store-connect-cli-skillsDefine, validate, run, resume, and audit repo-local multi-step automations with current `asc workflow` and `.asc/workflow.json`, including step outputs and safe release/TestFlight workflows.ProductivitateFără avertismente★ 1,1 K↓ —
- book-drafthashgraph-online/awesome-codex-pluginsPhase 3: Drafting. Voice lock on a sample chapter, then sequential full-context chapter drafting with draft-critique-revise, bible ledger updates, and periodic continuity checks.ProductivitateFără avertismente★ 1,5 K↓ —
- triggershashgraph-online/awesome-codex-pluginsCreate and manage triggers that watch for something (a job that finishes, a service that goes down, a failing CI run, a new release, a price crossing a threshold) and hand a task to Codex when it happens. Use when the user wants to be told, or wants something done, "when X happens", and when handling a message that starts with [self-starter].ProductivitateFără avertismente★ 1,5 K↓ —
- oma-academic-writingfirst-fluke/oh-my-agentDraft and revise academic prose against a rubric, evidence, and citation requirements. Use for essays, reports, literature reviews, or academic style audits.RedactareFără avertismente★ 1,4 K↓ —
- stock-analysisalirezarezvani/claude-skillsUse when asked to analyze, research or value a listed stock or company (US, global, NSE or BSE). Verifies data with verify_data.py, computes ratios, scores and valuation, and checks the report with lint_report.py.FinanțeFără avertismente★ 29,2 K↓ —
- scenario-sparc3dscenario-labs/skillsUse when turning images or photos into 3D meshes with Sparc3D models on Scenario via MCP: single-image or multi-view image-to-3D, watertight meshes for game assets, AR/VR, or 3D printing, mesh-only versus PBR-textured output, face count targets, resolution tiers, or reconstructing human heads and busts with the Portrait variants. Keywords: Sparc3D 2.1 and 2.0, Hitem3D, image to 3D, img23d, multiview, watertight, PBR, GLB, OBJ, STL, FBX.MediaFără avertismente★ 1,5 K↓ —
- orchestrating-agent-relayAgentWorkforce/relayThe canonical way to run agent-relay - self-bootstrap the local broker and autonomously spawn, monitor, and coordinate a team of worker agents without human intervention. Covers infrastructure startup, agent spawning, lifecycle monitoring, message-based reading via the relay MCP, and team coordination.DevOpsFără avertismente★ 1,1 K↓ —
- improve-search-visibility-page-and-foundation-checkgooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: audits site indexing, crawling, technical and page issues at the requested scope, or checks pages behind lost visibility questions. Run improve-search-visibility instead; not for direct use.BrowserFără avertismente★ 1,3 K↓ —
- improve-search-visibility-entity-footprintgooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: checks the profiles answer engines read, plus local listings and reviews, against the brand's facts and writes corrections. Run improve-search-visibility instead; not for direct use.RedactareFără avertismente★ 1,3 K↓ —
- setting-up-relayfileAgentWorkforce/relayUse when an agent or human needs to set up relayfile end-to-end so agents can read and write provider files through a local mount. Covers `relayfile setup`, dynamic integration discovery with `relayfile integration available/search`, Nango and Composio backend selection, Atlassian site selection and metadata, cloud login, OAuth/connect flows, mount verification, `RELAYFILE_LOCAL_DIR` handoff, writeback status and retry commands, and key May 2026 cloud-mount gotchas.RedactareFără avertismente★ 1,1 K↓ —
- using-agent-relayAgentWorkforce/relayUse when you are a registered relay agent (a spawned worker, or a lead that called register_agent) coordinating with peers in real time over current Agent Relay MCP tools - messaging, channels, threads, reactions, search, inbox, actions, and worker spawn/release. For role selection and orchestrator startup instructions, use https://agentrelay.com/skill and the orchestrating-agent-relay skill.AlteleFără avertismente★ 1,1 K↓ —
- speak-human-twRaymondhou0917/speak-human-tw「說人話」:繁體中文的去 AI 味改寫 skill。審查與改寫文字,去除 AI 味道、校正中國用語與半形標點,讓文字讀起來像真人寫的。 觸發時機:用戶說「去 AI 味」「說人話」「這段好 AI」「改自然一點」「幫我潤稿去掉 AI 感」「校對一下再發」,或要求檢查電子報、社群貼文、銷售頁、課程文案、客服回信、簡報、公告、Email 等對外文字的語感。 不要觸發:逐字翻譯、模仿特定品牌 voice、事實查核(非風格問題)、程式碼/log/設定檔、要求「潤成雷蒙的語氣」(那是 content-writing skill 的事,本 skill 只去 AI 味、不加個人風格)。RedactareFără avertismente★ 1,1 K↓ —
- run-organic-social-platform-researchgooseworks-ai/goose-skillsResearches how one social platform works right now from dated sources (what gets reach, formats rising and fading, how small accounts get seen, recent changes) and finds what is getting watched in a given niche there, with linked examples and engagement read against each author's baseline. Use alone when you already have the platform and niche; otherwise run run-organic-social.ȘtiințăFără avertismente★ 1,3 K↓ —
- research-audience-signals-and-hooksgooseworks-ai/goose-skillsFor a list of companies, finds dated, linked timing signals from the last 90 days (funding, new leaders, hiring, launches), drops stale ones and noise, scores timing, and gives one personal hook per person from their recent public work. Facts only, no message copy. Use alone when you already have the company list and, for hooks, the people; otherwise run research-audience.ȘtiințăFără avertismente★ 1,3 K↓ —
- all-hands-deckmohitagw15856/pm-claude-skillsBuild an all-hands that lands with everyone from intern to VP — the mixed-altitude structure (the story for all, the numbers for some), the wins-with-names section done right, the hard-news slide handled straight, and the Q&A design that gets real questions. Use when asked build the all-hands deck, make the monthly town hall not boring, how do we share the numbers with everyone, or announce this change at all-hands. Produces the segment structure, the altitude-mixed content rules, the hard-news handling, and the Q&A mechanics.DocumenteFără avertismente★ 1,5 K↓ —
- documenthashgraph-online/awesome-codex-pluginsRecord a decision, document existing code, or file a supplied research material. Modes: document decision (ADR, RFC, or rule), document code (spec, doc, guide, or scenario for existing behavior), document research (only when a finished report or one external material is already in hand). Use for 'we decided', 'record this decision', 'document why we chose X', 'make it our standard', 'draft an RFC', 'should we switch to Y' proposals, 'resolve the RFC', 'we accepted the proposal', 'document the auth module', 'capture how the payment system works', reference material, how-to instructions, or a user flow with examples over an existing spec. Name the type inside the subject to skip the type question. Planning a feature or an intended user journey → /archcore:plan. Checking docs against code or docs health → /archcore:review.ȘtiințăFără avertismente★ 1,5 K↓ —
- research-competitors-category-passgooseworks-ai/goose-skillsStep of the research-competitors playbook: the worker brief covering the whole category, including searches, AI answers, community threads and category ad winners. Run research-competitors instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- research-audience-account-sourcinggooseworks-ai/goose-skillsStep of the research-audience playbook: finds candidate accounts matching the fit definition, confirms gates, applies exclusions and dedupes. Run research-audience instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- 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↓ —
- 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↓ —
discover
taishi-i/awesome-japanese-nlp-resources
De la autor
Given 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.
Instalare
npx skills add taishi-i/awesome-japanese-nlp-resources --skill discover -a claude-code
Se instalează în .claude/skills/discover/ · 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.
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- SKILL.md
- agents/openai.yaml