Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,492 skills from 2,391 repositories · updated 8 hours ago
49,492 skills
- evogoLeoYeAI/agent-master-skillsComplete WhatsApp automation via Evolution API Go v3 - instances, messages (text/media/polls/carousels), groups, contacts, chats, communities, newsletters, and real-time webhooksEngineeringNo warnings★ 2.2K↓ —
- datanalysis-credit-riskgithub/awesome-copilotCredit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.OtherNo warnings★ 40.8K↓ —
- negotiationwondelai/skillsPrepare and execute negotiations using tactical empathy, calibrated questions, and the Ackerman method. Use when the user mentions "salary negotiation", "contract terms", "handling objections", "mirroring and labeling", "difficult conversation", "deal terms", "BATNA", "anchoring", "how do I ask for a raise", "get a better deal", or "they wont budge on price". Also trigger when preparing for a vendor negotiation, resolving a pricing dispute, or navigating a high-stakes conversation where both sides need to feel heard. Covers accusation audits, Black Swan discovery, and the "Thats Right" technique. For persuasion in product and marketing, see influence-psychology.LegalNo warnings★ 2.6K↓ —Also in 2 other repos
- sigma_ingestKaelio/ktxExtract durable ktx wiki knowledge from staged Sigma data model specs and workbook summaries. Load for WorkUnits with unitKey sigma-data-models or sigma-workbooks.PlanningNo warnings★ 1.6K↓ —
- looker_ingestKaelio/ktxExtract durable ktx knowledge and semantic-layer contribution proposals from staged Looker runtime dashboard, Look, and explore JSON. Load for WorkUnits whose raw files are under explores/, dashboards/, or looks/.OtherNo warnings★ 1.6K↓ —
- ingest_triageKaelio/ktxClassify and resolve conflicts detected during bundle ingest (structural duplicates, definitional contradictions, near-duplicate clusters, re-ingest changes, evictions).OtherNo warnings★ 1.6K↓ —
- metabase_ingestKaelio/ktxConvert Metabase questions, models, and metrics into ktx Semantic Layer source definitions. Covers result-metadata to KSL column type mapping, FK/PK detection, near-duplicate deduplication, pre-aggregation decomposition, join-graph connectivity, and how to react to priorProvenance from earlier ingest syncs. Load when the WorkUnit contains `cards/<id>.json` files under a Metabase bundle.EngineeringNo warnings★ 1.6K↓ —
- lookml_ingestKaelio/ktxMap a LookML view/model/explore into ktx semantic layer sources. Covers the LookML to ktx primitive table, provenance tagging, and three worked examples (overlay, standalone from derived_table, standalone with sql_always_where). Load when the turn contains `.lkml` content.OtherNo warnings★ 1.6K↓ —
- dbt_ingestKaelio/ktxMap dbt `schema.yml` / `properties.yml` models and sources into ktx semantic-layer overlays and column notes. Covers `sources:` vs `models:`, column `data_tests` (not_null, unique, accepted_values, relationships), and how bundle-time writes complement manifest backfill from git sync. Load when the WorkUnit's `skillNames` includes `dbt_ingest` or when raw files are dbt YAML under `models/` / `sources/`.DataNo warnings★ 1.6K↓ —
- ktx-analyticsKaelio/ktxUse when answering a question that needs data from a ktx-connected database - investigating, analyzing, "how many", "show me", "what's the breakdown of", finding records by value, exploring tables, comparing periods, explaining metrics, or any data-analysis request. Triggers even when the user does not say "analytics"; if the answer requires querying a configured ktx connection, this skill applies.DataNo warnings★ 1.6K↓ —
- hivemind-memoryactiveloopai/hivemindGlobal team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.ProductivityNo warnings★ 1.6K↓ —
- hivemind-memoryactiveloopai/hivemindGlobal team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.ProductivityNo warnings★ 1.6K↓ —
- system-designwondelai/skillsDesign scalable distributed systems using structured approaches for load balancing, caching, database scaling, and message queues. Use when the user mentions "system design", "scale this", "high availability", "rate limiter", "design a URL shortener", "design Twitter", "design Uber", "design a news feed", "system design interview", "capacity planning", or "distributed architecture". Also trigger when estimating infrastructure requirements, choosing between microservices and monoliths, or designing for millions of concurrent users. Covers common system designs (TinyURL, feeds, chat) and back-of-the-envelope estimation. For data fundamentals, see ddia-systems. For resilience, see release-it.DesignNo warnings★ 2.6K↓ —Also in 2 other repos
- crossing-the-chasmwondelai/skillsNavigate the technology adoption lifecycle from early adopters to mainstream market. Use when the user mentions "crossing the chasm", "beachhead segment", "whole product", "early adopters vs mainstream", "tech go-to-market", "bowling pin strategy", "technology adoption lifecycle", "pragmatist buyers", "growth stalled after early adopters", or "our go-to-market plan". Also trigger when planning go-to-market for a technical product. Covers the D-Day analogy, bowling-pin strategy, the tornado, and positioning against incumbents. For product positioning, see obviously-awesome. For new market creation, see blue-ocean-strategy.MarketingNo warnings★ 2.6K↓ —Also in 2 other repos
- brainstormcodeaholicguy/ai-devkitAI DevKit · Use when the user asks to brainstorm, ideate, generate ideas, expand options, challenge ideas, pressure-test ideas, compare concepts, narrow choices, name something, plan content angles, explore strategy, evaluate product ideas, technical approaches, experiments, or decisions.PlanningNo warnings★ 1.7K↓ —
- dev-reviewcodeaholicguy/ai-devkitAI DevKit · Final code review phase guidance for holistic pre-push review. Use when the user wants code review, final lifecycle review, design alignment checks, integration risk review, or dev-lifecycle phase 9.EngineeringNo warnings★ 1.7K↓ —
- gke-ai-troubleshooting-tpu-dynamic-slices-monitoringgoogle/skillsMonitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources. Use when checking TPU slice lifecycle states, troubleshooting slice provisioning failures, validating single-slice or multi-slice (JobSet) workload manifests, or safely patching stuck finalizers and disabling the slice controller. Don't use for generic GKE cluster node pool creation or standard non-TPU workload management (use gke-basics or gke-cluster-creation instead).OfficialOtherNo warnings★ 21.9K↓ —
- hivemindactiveloopai/hivemindGlobal team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling information.ProductivityNo warnings★ 1.6K↓ —
- understand-knowledgeEgonex-AI/Understand-AnythingAnalyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.OtherNo warnings★ 90.5K↓ —
- apigee-agent-gateway-governancegoogle/skillsStands up an Apigee API proxy that a Google Cloud Agent Gateway calls as an ext-proc (Service Extension) callout on an agent's LLM traffic, to meter token usage per model, extract caller identity, and apply Model Armor prompt screening or a semantic cache. Use when wiring Apigee in as an AI gateway behind an Agent Gateway, when an agent's model egress needs governing, or when a callout proxy returns no verdict and you need to find out why. The distinguishing question is whether Apigee forwards the traffic or only inspects it: this skill is inspect-only, and builds the proxy itself. Don't use it when Apigee is meant to receive a request and route it onward to a backend — including hosting an MCP server behind Apigee — which needs a proxy with a target instead. Don't use for governing the agent's calls to tools or MCP servers. Don't use for choosing or switching which model a request goes to. Don't use for creating the Agent Gateway itself, nor for Apigee hybrid.OfficialEngineeringNo warnings★ 21.9K↓ —
- b2b-shop-b2cKlotzkette/claude-fuer-deutsches-rechtFür B2B-Shop und Unternehmernachweis: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- quellenkarteKlotzkette/claude-fuer-deutsches-rechtFür Betreuungsrecht Quellenkarte: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- telegramsickn33/agentic-awesome-skillsIntegracao completa com Telegram Bot API. Setup com BotFather, mensagens, webhooks, inline keyboards, grupos, canais. Boilerplates Node.js e Python.EngineeringNo warnings★ 49.1K↓ —
- slKaelio/ktxktx's semantic layer - a structured catalog of sources (tables/views), measures, joins, and segments expressed as YAML. Covers the schema and how to query it via `sl_query`. Use when the task involves querying pre-defined metrics (ARR, churn, retention, LTV, MAU) or reading SL source YAML to understand the catalog. Capture is handled by the `sl_capture` skill (memory-agent only).ProductivityNo warnings★ 1.6K↓ —
qa-quarto
pedrohcgs/claude-code-my-workflow
TestingUpdated Sep 27, 2026
From the author
Adversarial Quarto-vs-Beamer parity QA. A critic agent compares the Quarto HTML render to the Beamer PDF benchmark for content/visual parity; a fixer agent applies fixes; loops until APPROVED or two consecutive rounds turn up nothing new (fallback cap 5 rounds). Use when user says "qa the quarto", "check parity", "does the html match the pdf?", "quarto matches beamer?", or after a translate-to-quarto run. Requires both the `.qmd` rendered and a `.pdf` benchmark.
Install
npx skills add pedrohcgs/claude-code-my-workflow --skill qa-quarto -a claude-code
Installs to .claude/skills/qa-quarto/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
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Why 89
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Provenance79
Maintenance100
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Files (1)
- SKILL.md