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.
48,622 skills from 2,355 repositories · updated 15 hours ago
47,548 skills
- ressort-bmwsbKlotzkette/claude-fuer-deutsches-rechtFür Ressort-Heranführung BMWSB: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- bonus-rabattKlotzkette/claude-fuer-deutsches-rechtFür Bonus Rabatt: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.OtherNo warnings★ 1.8K↓ —
- convert-pdf-to-mdgithub/awesome-copilotConverts PDF (.pdf) documents into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .pdf file — even if they don't say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", or "analyze" a PDF report, paper, invoice, form, contract, or scanned document. Always run the bundled conversion script to produce Markdown first; do not attempt to parse PDF content directly or write ad-hoc extraction code. Also use this skill for batch requests involving a whole folder of PDF documents. IMPORTANT: When the user references a folder or set of documents containing multiple file types (.pdf, .docx, .xlsx), invoke ALL three sibling skills — convert-pdf-to-md, convert-word-to-md, and convert-excel-to-md — so no file type is silently skipped.DocumentsNo warnings★ 40.7K↓ —
- gke-cluster-autoscalergoogle/skillsTrigger on mention of GKE cluster autoscaler, node autoscaling, node pool auto-creation / node auto-provisioning. Provides guidance on enabling and optimizing cluster autoscaler, best practices, and troubleshooting issues such as nodes not scaling up or down, zonal stockouts, or capacity buffers. Do not use for ComputeClass-specific YAML generation or priority configuration (defer to gke-compute-classes skill).OfficialPlanningNo warnings★ 21.8K↓ —
- planning-with-files-deOthmanAdi/planning-with-filesPersistente dateibasierte Planung für mehrstufige Arbeit mit KI-Agenten. Hält task_plan.md, findings.md und progress.md auf dem Datenträger; Lebenszyklus-Hooks speisen ausgewählten Planungskontext des Projekts ein. Die automatische Wiederherstellung liest nur die Planungsdateien des Projekts. Nur ein ausdrücklicher Aufruf von session-catchup.py --metadata darf lokale Sitzungsmetadaten desselben Projekts prüfen; --replay darf begrenzte, nonce-gerahmte Auszüge ausgeben. Der optionale Gate-Modus kann nur bei Unterstützung durch den Host eine Fortsetzung anfordern und führt niemals in Markdown angegebene Befehle aus. Der Skill hat keinen Netzwerk-Uploadpfad. Verwenden für Forschung oder Arbeit mit mehr als 5 Tool-Aufrufen.PlanningNo warnings★ 27.8K↓ —
- okr-designrampstackco/claude-skillsOKR design as actually shipped, not as conference-talk theory. Outcome statements that drive decisions, key results that measure the right thing, scoring discipline, mid-quarter recalibration, and the difference between sandbagged OKRs (always 100%) and aspirational OKRs (always 30%) and stretch OKRs (genuine ambition with quarterly accountability). Triggers on OKR design, OKR setting, key result design, OKR scoring, mid-quarter recalibration, OKR cascading, outcomes vs outputs, quarterly planning, goal setting. Also triggers when a team's OKRs are always hit and producing no learning, when OKRs are demoralizing because they were set as fantasy, or when the team uses OKR vocabulary but the practice has decayed.DesignNo warnings★ 1K↓ —
- doca-ngaugeNewNVIDIA/skillsUse this skill when the operator is driving the DOCA ngauge tool to analyze, visualize, and debug network performance on a single node by probing NIC hardware counters and storing collected data in HDF5 format. Trigger even when the user does not say "DOCA ngauge" — implicit phrasings include "probe NIC hardware counters", "collect HDF5 performance data", "plot ngauge output", "sample counters on BlueField/ConnectX", "measure network performance on a single node", "debug network performance with hardware counters", "run ngauge YAML config", "parse ngauge HDF5 output". Refuse and route elsewhere: DOCA install/bring-up to doca-setup, version questions to doca-version, hardware/firmware state changes to doca-hardware-safety, raw packet I/O to doca-eth, and host-DPU messaging to doca-comch.EngineeringNo warnings★ 3.8K↓ —
- doca-devemuNVIDIA/skillsUse this skill when the user is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs the backend, picking the sub-library (PCI Generic, virtio-net, virtio-fs), wiring the per-sub-library Core context plus doorbell / DMA primitives, querying `doca_devemu_*_cap_*`, or debugging DOCA_ERROR_* from a `doca_devemu_*` call. Trigger even when the user does not say "devemu" — typical implicit phrasings include "expose a custom PCIe device from BlueField to the host", "host should see a virtio NIC backed by my DPU code", "lspci does not show my emulated device", "device enumerated but no driver binds", "DPU sees nothing when host kicks the queue", or "virtio feature negotiation failed at bind". Refuse and route elsewhere for the packaged DOCA SNAP / Virtio-net Services, host-side virtio kernel drivers, backend body design, or standard BlueField NIC behavior — those belong to other skills.DesignNo warnings★ 3.8K↓ —
- planhashgraph-online/awesome-codex-pluginsCreate a structured implementation plan with parallel agent research before coding.PlanningNo warnings★ 1.5K↓ —
- jetson-build-sourceNVIDIA/skillsUse when you need to rebuild the BSP overlay — DT, OOT modules, or kernel — from changes under bsp_sources/. Triggers: build bsp, rebuild dtb, rebuild kernel.OtherNo warnings★ 3.8K↓ —
- publish-pcf-companionmicrosoft/power-platform-skillsDeploy the dispatcher PCF for a third-party `.ppmplugin` control to a Power Platform environment via `pac pcf push`. The dispatcher PCF is the Studio-side control that dispatches the composite key `<name>/<receiver>` over the wrap shell's `SendMessagePlugin` bridge to the control's native module. Verifies deploy prereqs (Node.js 20+ with npm, .NET SDK, and active `pac auth`), then three confirmation gates — publisher prefix (2–8 chars; defaults to `pamext` or the last-used value from `.extension-state.md`), version bump (patch / minor / major / no-bump), target environment URL (from `pac org who`). Builds the PCF if needed, then pushes. Decoupled from /generate-pcf-companion so the engineer can scaffold and customize locally, then deploy when ready. Updates `.extension-state.md` with deployment history (timestamp, env URL, version, prefix used).DevOpsNo warnings★ 1.1K↓ —
- setup-offline-profilemicrosoft/power-platform-skillsUse when the user wants to enable offline mode for a Power Apps mobile app and create a Mobile Offline Profile in Dataverse — designs per-table row scope, relationships, columns, and sync frequency through a 3-gate approval flow.OtherNo warnings★ 1.1K↓ —
- setup-app-insightsmicrosoft/power-platform-skillsConfigure optional customer-owned Application Insights telemetry for a Power Apps mobile app — enable it against an existing Azure resource, change the resource, or disable it. Standalone, and invoked by /edit-app.DevOpsNo warnings★ 1.1K↓ —
- story-pitchmohitagw15856/pm-claude-skillsPitch a news or feature story to an editor — the angle, why now, and how you'll report it. Use when a reporter or freelancer needs to pitch a story, sell an editor on an angle, or write a query letter to a publication. Produces a tight pitch: the hook and angle, why it matters and why now, the reporting plan and sources, your access/credibility, and the format/length fit. Distinct from media-pitch (PR pitching a story TO journalists).WritingNo warnings★ 1.5K↓ —
- functionshashgraph-online/awesome-codex-pluginsBuild and prove durable studio functions for record, order, schedule and tool events, with concurrent database updates and event feeds.DataNo warnings★ 1.5K↓ —
- seohashgraph-online/awesome-codex-pluginsComprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability, indexability, Core Web Vitals with INP), schema markup, content quality (E-E-A-T), image optimization, sitemap analysis, and GEO for AI Overviews/ChatGPT/Perplexity. Industry detection for SaaS, e-commerce, local, publishers, agencies. Triggers on: SEO, audit, schema, Core Web Vitals, sitemap, E-E-A-T, AI Overviews, GEO, technical SEO, content quality, page speed.MarketingNo warnings★ 1.5K↓ —
- rework-loophashgraph-online/awesome-codex-pluginsStructured rework with git blame attribution for failed goal iterations. Maps failures to responsible changes and routes targeted fix briefs.EngineeringNo warnings★ 1.5K↓ —
- 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.MediaNo warnings★ 1.4K↓ —
- resuminghashgraph-online/awesome-codex-pluginsResume an interrupted workflow run with verify-first strategy — loads sidecar state, verifies the last step, and continues execution.ProductivityNo warnings★ 1.5K↓ —
- brand-voicehashgraph-online/awesome-codex-pluginsBuild a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.WritingNo warnings★ 1.5K↓ —
- 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.BrowserNo warnings★ 1.3K↓ —
- e2e-testinghashgraph-online/awesome-codex-pluginsPlaywright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.TestingNo warnings★ 1.5K↓ —Also in 1 other repo
- implement-specdzhng/skillsImplement an existing spec through committed passes. Use for long or multi-pass specs that need maintenance checkpoints to periodically clean code, handoffs, priorities, and plan bloat before drift accumulates.PlanningNo warnings★ 1.4K↓ —
- web-design-guidelinesvercel-labs/agent-skillsReview UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".OfficialDesignNo warnings★ 33.3K↓ —Also in 1 other repo
capa-officer
alirezarezvani/claude-skills
ScienceUpdated 2 days ago
From the author
Use for CAPA work in a medical device QMS: root cause analysis (5-Why, fishbone), corrective action plans, effectiveness checks or CAPA metrics. Tracks CAPAs with capa_tracker.py and analyzes causes with root_cause_analyzer.py.
Install
npx skills add alirezarezvani/claude-skills --skill capa-officer -a claude-code
Installs to .claude/skills/capa-officer/ · 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
Runs bundled scriptsNo network use seenLicence: MIT
Safety checks on SKILL.md
- Ships scripts we have not reviewedLow
Why 88
Security85
Provenance94
Maintenance100
Licence100
Adoption69
Files (5)
- SKILL.md
- references/effectiveness-verification-guide.md
- references/rca-methodologies.md
- scripts/capa_tracker.py
- scripts/root_cause_analyzer.py