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.
48,168 skills from 2,325 repositories · updated 2 hours ago
48,168 skills
- unslopmichael-denyer/pstack-claudeCut AI tells from any writing.WritingNo warnings★ 3.7K↓ —
- nemo-relay-plugin-buildNVIDIA/skillsUse this skill when building or packaging reusable NeMo Relay runtime behavior as an embedded configuration component or a manifest-backed `rust_dynamic` native or `worker` gRPC plugin, with deterministic validation and rollback-safe registration.OtherNo warnings★ 3.8K↓ —
- maintain-formal-verification-skillmichael-denyer/pstack-claudeBring a project's formal verification back in line with the code after the code changes: find the commits that touched verified code, update the model, harness, or properties to describe the code as it is now, rerun, and say whether each failure is drift in the verification or a bug in the code. Use for /maintain-formal-verification-skill, "is the model still true to the code", or after merges and refactors that touched verified code without rechecking it.EngineeringNo warnings★ 3.7K↓ —
- task-observerrebelytics/one-skill-to-rule-them-allMonitors task execution for skill improvement opportunities: logs patterns, user corrections and methodology worth preserving to the workspace, turns them into skill updates in a weekly review, and flags repeating work as new skills. Use during ANY multi-step task, agentic workflow, or work session. Also triggers in post-task feedback discussions and when the user mentions skill observations, the observation log, or skill taxonomy. Also known as "One Skill to Rule Them All" — trigger on this phrase too. IMPORTANT: invoke this skill before the FIRST tool call of any session and before writing or proposing a plan — any turn that will involve a tool call counts. This sentence is the session-start trigger and the only activation layer that survives an unreachable config file; pair it with a CLAUDE.md instruction or a session-start hook (references/environments.md). A subagent dispatched by a session already running it does not run it: it writes nothing and puts its findings in its report.ProductivityNo warnings★ 3.7K↓ —
- tradingview-readerhimself65/finance-skillsRead the user's local TradingView desktop app through opencli: quotes, options chains with greeks and per-strike IV, options expiries, screener results across stocks, crypto, forex, futures, and bonds, gainers and losers, news headlines and full stories, alerts (active, fired, offline fires), watchlists including colored flag lists, symbol search, chart state, and chart screenshots. Use this skill whenever the user asks for any of these from TradingView ("TV") — for example an options chain, puts, or IV skew for a ticker, an oversold-stock screen, their red flag list, which alerts fired, or a screenshot of their chart. For plain quotes, TA readouts, scans, or futures without the desktop app, prefer tradingview-mcp. Read-only: it never places trades or edits watchlists, alerts, or layouts.FinanceNo warnings★ 3.5K↓ —
- golang-spf13-cobrasamber/cc-skills-golangGolang CLI command tree library using spf13/cobra — cobra.Command, RunE vs Run, PersistentPreRunE hook chain, Args validators (NoArgs, ExactArgs, MatchAll, custom), persistent vs local flags, command groups, ValidArgsFunction, RegisterFlagCompletionFunc, ShellCompDirective, usage/help template customization, man-page and markdown doc generation, and testing with SetArgs/SetOut/SetErr. Apply when using or adopting spf13/cobra, or when the codebase imports `github.com/spf13/cobra`. For configuration layering alongside cobra, see the `samber/cc-skills-golang@golang-spf13-viper` skill. For general CLI architecture (project layout, exit codes, signal handling, I/O patterns), see `samber/cc-skills-golang@golang-cli`.TestingNo warnings★ 3.7K↓ —
- spec-to-code-compliancetrailofbits/skillsCheck code against the documentation that specifies it - which requirements hold, which the code contradicts, which are absent, and what the code does that no document mentions. Use when comparing an implementation against a whitepaper, protocol spec, or design document.LegalNo warnings★ 7.9K↓ —
- running-e2e-testsjeremylongshore/tons-of-skills-marketplaceExecute end-to-end tests covering full user workflows across frontend and backend. Use when performing specialized testing. Trigger with phrases like "run end-to-end tests", "test user flows", or "execute E2E suite".TestingNo warnings★ 2.9K↓ —
- in-your-own-wordsmichael-denyer/pstack-claudeRestate in your own words what you think the user's goals are and what problem they're trying to solve. Use for /in-your-own-words.OtherNo warnings★ 3.7K↓ —
- sentry-load-scalejeremylongshore/tons-of-skills-marketplaceScale Sentry for high-traffic applications handling millions of events per day. Use when optimizing SDK performance at high volume, implementing adaptive sampling, managing quotas and costs at scale, or deploying Sentry across multi-region infrastructure. Trigger with phrases like "sentry high traffic", "scale sentry", "sentry millions events", "sentry high volume", "sentry quota management", "sentry load test".TestingNo warnings★ 2.9K↓ —
- pptx-html-fidelity-auditnexu-io/open-designAudit a python-pptx export against its source HTML deck, identify layout/content drift (footer overflow, cropped content, missing italic/em, lost styling, off-rhythm spacing), and re-export with strict footer-rail + cursor-flow layout discipline. Use this skill whenever the user has a .pptx that was generated from an HTML slide deck and asks to compare/audit/verify/fix the export — including phrases like "compare ppt with html", "fidelity audit", "fix the pptx", "ppt is cut off", "footer overlap", "italic missing in pptx", "re-export the deck", "pptx-html-fidelity-audit", or any case where a python-pptx → HTML round-trip needs verification or repair. Also trigger when the user shows you a deck.html and a deck.pptx side by side and is debugging visual differences.DocumentsNo warnings★ 105.1K↓ —
- mcore-testingNVIDIA/skillsTest system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.TestingNo warnings★ 3.8K↓ —
- hex-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate a minimal working Hex example. Use when starting a new Hex integration, testing your setup, or learning basic Hex API patterns. Trigger with phrases like "hex hello world", "hex example", "hex quick start", "simple hex code".TestingNo warnings★ 2.9K↓ —
- google-analyticsnowork-studio/notfair-pluginAnalyze connected Google Analytics 4 traffic, acquisition, engagement, landing pages, ecommerce, events, and conversions, and safely manage supported GA4 key events or custom dimensions through NotFair MCP. Use for GA4, Google Analytics, traffic or conversion drops, channel attribution, realtime activity, report requests, measurement configuration, or Analytics MCP setup.DataNo warnings★ 4.1K↓ —
- kiro-spec-batchgotalab/cc-sddCreate complete specs (requirements, design, tasks) for all features in roadmap.md using parallel sub-agent dispatch by dependency wave.PlanningNo warnings★ 3.7K↓ —
- gsd:resume-workdavepoon/buildwithclaudeResume work from previous session with full context restorationProductivityNo warnings★ 3.7K↓ —
- tao-train-nvpanoptix3dNVIDIA/skillsNVPanoptix3D for panoptic 3D scene reconstruction from posed RGB images. Produces 3D panoptic segmentation (semantic, instance, and panoptic masks) with occupancy completion. Built on a VGGT backbone with a Mask2Former-style head and 3D frustum reconstruction. Use when training, evaluating, exporting, or running inference for a TAO NVPanoptix3D model. Trigger phrases include "train NVPanoptix3D", "panoptic 3D reconstruction", "3D scene segmentation", "occupancy completion".OtherNo warnings★ 3.8K↓ —
- fondo-install-authjeremylongshore/tons-of-skills-marketplaceSet up Fondo account and configure integrations with Gusto, QuickBooks, and bank accounts for automated startup bookkeeping and R&D tax credits. Trigger: "setup fondo", "fondo account", "fondo integrations", "connect fondo".FinanceNo warnings★ 2.9K↓ —
- datadog-automationdavepoon/buildwithclaudeAutomate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- cal-com-automationdavepoon/buildwithclaudeAutomate Cal.com tasks via Rube MCP (Composio): manage bookings, check availability, configure webhooks, and handle teams. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- shopify-automationdavepoon/buildwithclaudeAutomate Shopify tasks via Rube MCP (Composio): products, orders, customers, inventory, collections. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- linear-automationdavepoon/buildwithclaudeAutomate Linear tasks via Rube MCP (Composio): issues, projects, cycles, teams, labels. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- miro-cost-tuningjeremylongshore/tons-of-skills-marketplaceDiagnose Miro API credit demand and implement repository-side traffic controls that preserve freshness, completeness, and user experience. Use when right-sizing polling or synchronization. Trigger with "reduce Miro API usage".EngineeringNo warnings★ 2.9K↓ —
- hexanon-x402-apisdavepoon/buildwithclaudePay-per-call access to the Hexanon family of eight x402 APIs for autonomous agents — no signup, no API keys, USDC on Base. Covers US/Canada vehicle & VIN intelligence (Vindex), e-commerce demand signals (Demandex), Polymarket whale intelligence (OrcaTrace), GitHub trending-repo digests (gitBeacon), narrative intelligence (Signalis), Moltbook community digests (Moltalyzer), x402 seller conformance scanning (x402lint), and Polymarket weather-market signals (Isocast).EngineeringNo warnings★ 3.7K↓ —
tao-train-nvdinov2
NVIDIA/skills
OtherUpdated 23 hours ago
From the author
NVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation (teacher-student) without labels and produces general-purpose visual features. Use when training, exporting, or running inference for a TAO NVDINOv2 backbone. Trigger phrases include "train NVDINOv2", "self-supervised ViT pretraining", "DINOv2 backbone", "visual representation learning".
Install
npx skills add NVIDIA/skills --skill tao-train-nvdinov2 -a claude-code
Installs to .claude/skills/tao-train-nvdinov2/ · 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: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (19)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_deploy_gen_trt_engine.yaml
- references/spec_template_distill.yaml
- references/spec_template_export.yaml
- references/spec_template_inference.yaml
- references/spec_template_train.yaml
- references/tao-deploy-nvdinov2.md
- references/tao-deploy-nvdinov2.skill_info.yaml
- +7 more