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.
49.484 de skill-uri din 2.391 de depozite · actualizat acum 16 minute
49.482 de skill-uri
- huashu-image-uploadalchaincyf/huashu-skills文章配图一键生成并上传图床，自动插入Markdown链接。当用户提到"配图"、"插图"、"上传图片"、"文章配图"时使用。MediaFără avertismente★ 2,2 K↓ —
- onboardsickn33/agentic-awesome-skillsDecompose mixed project materials (code, docs, PDF/Excel/PPT) into a sourced overview and a goal-driven three-tier learning path, then teach it interactively.DocumenteFără avertismente★ 49,1 K↓ —
- vergleichKlotzkette/claude-fuer-deutsches-rechtFür Vergleich: entwickelt Ziel, Vergleich und Eskalation; Ergebnis: Verhandlungs- oder Eskalationslinie.AlteleFără avertismente★ 1,8 K↓ —
- deep-auditpedrohcgs/claude-code-my-workflowComprehensive adversarial audit of a theory, proof, math/econ paper, codebase, or set of claims — decompose into components, fan out independent skeptics that must return CONCRETE defects, adjudicate every finding with a separate judge, fix all confirmed defects, then re-verify. Use when correctness must be bulletproof and single-pass or round-by-round review is too slow and too shallow. Invoke for "audit this rigorously", "find ALL the bugs/gaps", "make this rock solid", "converge faster on correctness".ȘtiințăFără avertismente★ 1,7 K↓ —
- portaljs-add-resourcedatopian/portaljsAdd another file (resource) to an EXISTING dataset in a PortalJS portal — a data dictionary, methodology, or an additional data file. Turns a single-file dataset into a multi-resource one; the showcase renders a section per resource. Use when a dataset needs a second file, such as a data dictionary, methodology doc, or an additional period's data.MediaFără avertismente★ 2,4 K↓ —
- nda-it-saas-vendorKlotzkette/claude-fuer-deutsches-rechtFür NDA mit IT-/SaaS-Vendor: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: NDA-Abgleich. Route: nda-it-saas-vendor.JuridicFără avertismente★ 1,8 K↓ —
- founder-marketingJakeschincariol/founder-skillYour marketing director. Turns the buyer panel and the competitor map into positioning, the channels the target customer actually uses, a 30-day launch campaign with dated posts and ads, the first ten hooks, a budget split and the numbers to watch. Every message answers an objection real or simulated buyers raised. Use when the user says "how do I market this", "marketing plan", "launch campaign", "how do I get customers", "where do I advertise", "write my ads", or "positioning".MarketingFără avertismente★ 2,4 K↓ —
- agent-platform-tuninggoogle/skillsAgent Platform Model Tuning. Use when you need to fine-tune open models or Gemini models using Agent Platform infrastructure. Don't use for model training outside Agent Platform, model deployment to endpoints (use `agent-platform-deploy`), or managing serving endpoints (use `agent-platform-endpoint-management`).OficialDevOpsFără avertismente★ 21,9 K↓ —
- revclawLeoYeAI/agent-master-skillsSubmit and discover location-tagged reviews across the OpenClaw agent network. Use when: (1) user wants to review a place, rate a spot, or comment on a bathroom, (2) user asks where to eat, drink, work, or find a bathroom nearby, (3) user mentions a venue by name and asks for opinions, (4) user wants to edit or delete a previous review. NOT for: general location/directions queries (use web search), restaurant reservations, or anything requiring real-time availability.RedactareFără avertismente★ 2,2 K↓ —
- arcgis-to-portaljsdatopian/portaljsMigrate a whole ArcGIS Hub site into a PortalJS Arc portal end-to-end. Harvests the Hub /data.json (DCAT-US) inventory, exports every FeatureService layer through the ArcGIS REST query API with resultOffset paging, converts each to the serverless dual tier (PMTiles render + GeoParquet query) with tabular items to Parquet, pushes everything to Cloudflare R2 via Git LFS, appends dual-tier datasets.json entries, and writes a source-vs-derived parity report. Use to move a City or sector ArcGIS Hub open-data portal onto PortalJS with no server-side compute.DevOpsFără avertismente★ 2,4 K↓ —
- postgres-database-migrationtimescale/pg-aiguideUse this skill for planning, testing, and safely executing PostgreSQL schema migrations — especially when working with production data or shared databases. **Trigger when user asks to:** - Test a schema migration before applying it to production - Add, remove, or rename columns safely on a live table - Change a column's data type without downtime - Add or drop indexes, constraints, or foreign keys on large tables - Understand which ALTER TABLE operations lock the table - Roll back a failed migration - Plan a zero-downtime migration strategy - Fork a database to test a migration safely **Keywords:** migration, schema change, ALTER TABLE, add column, drop column, rename column, change type, zero downtime, lock, AccessExclusiveLock, concurrent index, forking, rollback, backfill, deploy Covers: lock-level reference for every common DDL operation, safe migration patterns, fork-based testing, zero-downtime column changes, index creation, constraint addition, backfill strategies, pre/post-migration validation, and rDateFără avertismente★ 1,9 K↓ —
- display-glasses-with-jetpack-compose-glimmerActualizatandroid/skillsProvides guidelines for developing projected Android XR apps for display glasses using the Jetpack Compose Glimmer UI toolkit. Covers Glimmer design principles, workflows, and interaction models for the glasses form factor. Use this skill to build an Android XR Augmented Experience app with Jetpack Compose Glimmer. Don't use for audio-only AI glasses without a display, non-glasses Android XR headsets (spatial panels or 3D volumes with Jetpack Compose for XR), or phone and tablet Material 3 UIs.OficialDesignFără avertismente★ 10,3 K↓ —
- agent-master-skillsLeoYeAI/agent-master-skillsA curated collection of 3003+ best agent skills — AI tools, productivity, marketing, frontend, mobile, backend, DevOps and more. Harness-agnostic, refreshed daily by MyClaw.ai — Powered by MyClaw.aiDevOpsFără avertismente★ 2,2 K↓ —
- astropyK-Dense-AI/scientific-agent-skillsCore Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.DateFără avertismente★ 56,1 K↓ —Apare și în 2 alte depozite
- ayeayeLeoYeAI/agent-master-skillsAyeAye — Social network for AI agents. Get a permanent identity, make friends, join group chats, and level up from plankton to King Lobster. Say '使用 ayeaye' to get started!PlanificareFără avertismente★ 2,2 K↓ —
- industriekundenKlotzkette/claude-fuer-deutsches-rechtFür Industriekunden — Sonderregelungen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- fuegoLeoYeAI/agent-master-skillsLocal Solana agent wallet with local infra for transfers (SOL, USDC, USDT), Jupiter swaps, and x402 purch.AlteleFără avertismente★ 2,2 K↓ —
- pgvector-semantic-searchtimescale/pg-aiguideUse this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.DateFără avertismente★ 1,9 K↓ —
- mini-context-graphgithub/awesome-copilotA persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph. Ingest documents once — the LLM writes wiki pages, extracts entities/relations into the graph, and stores raw content for evidence retrieval. Knowledge accumulates and cross-references; it is never re-derived from scratch.ProductivitateFără avertismente★ 40,8 K↓ —
- chief-product-officercbrock84/headcountAn agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs in Claude Code and ChatGPT.JuridicFără avertismente★ 2,6 K↓ —
- product-requirementscbrock84/headcountWrites down what is being built so a team can build it and know when they are done — problem and success measure before solution, scope stated by exclusion, user-visible behavior including the states everyone forgets, acceptance criteria someone can test, and the open questions named rather than buried. Use this to write a specification, review one that is causing rework, or work out why a delivered feature technically matched the request and still was not what anyone wanted.PlanificareFără avertismente★ 2,6 K↓ —
- outbound-prospectingcbrock84/headcountFinds, qualifies, and reaches prospects through cold outreach — list building, qualification criteria, cold email and multi-channel sequences, and the follow-up that actually gets replies. Use this to build a prospect list, write cold outreach, fix a sequence that is not getting responses, define qualification criteria, or decide whether a segment is worth pursuing.RedactareFără avertismente★ 2,6 K↓ —
- pkedgeLeoYeAI/agent-master-skillsMonitor Polymarket prediction markets, spot mispricings between crowd probabilities and real-world evidence, track whale positioning from the top-50 leaderboard wallets, and detect fresh wallet insider signals. Supports four modes: SCAN (daily digest of flagged markets), DEEP DIVE (full single-market analysis with web search evidence), WHALE WATCH (consensus detection across top trader positions), and INSIDER WATCH (fresh wallet large-position detection).AlteleFără avertismente★ 2,2 K↓ —
- agent-platform-inferencegoogle/skillsConnects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemini models and Third-Party OpenMaaS models (Llama, DeepSeek, Qwen, etc.). Use when asked to perform inference, ask a model a question, run a test prompt, execute chat completions, or generate code for calling Gemini or OpenMaaS models, authenticate with GenAI SDK, OpenAI SDK, or legacy Agent Platform SDK, configure base URLs and global/regional endpoints, or troubleshoot 429 Resource Exhausted (DSQ), 400 User Validation, or 404 Not Found errors. Don't use for deploying models to endpoints or for running model evaluations.OficialTestareFără avertismente★ 21,9 K↓ —
umap-learn
K-Dense-AI/scientific-agent-skills
AlteleActualizat alaltăieri
De la autor
Applies UMAP-learn to nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill umap-learn -a claude-code
Se instalează în .claude/skills/umap-learn/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (Personalizată sau neclară) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
La ce are acces
Doar instrucțiuniFolosește rețeauaLicență: Personalizată sau neclară
Verificări de siguranță pe SKILL.md
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De ce 89
Securitate100
Proveniență95
Întreținere100
Licență45
Adopție73
Fișiere (2)
- SKILL.md
- references/api_reference.md