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.
49,396 skills from 2,375 repositories · updated 29 minutes ago
49,394 skills
- pricing-packaging-planneraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "plan launch pricing", "design pricing tiers / packaging", or "set up a launch discount / early-bird offer"; produces a launch pricing and packaging plan — tier structure and naming, a value-to-price map aligned to the message house, a launch-offer ladder with a true deadline reason, beta / early-adopter pricing with a post-launch graduation path, and guarantee / refund terms — with every price claim and offer term submitted to memory/events/claims.ndjson. Not for the canonical offer / claim record — use offer-claims-registry; not for paid-newsletter subscription economics — use newsletter-monetization-planner; not for ad bidding — use bid-strategy-planner. 发布定价/梯度打包/早鸟优惠/保证设计PlanningNo warnings★ 3.1K↓ —
- constraint-driven-developmentaddyosmani/agent-skillsEstablishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or eslint-disable suppressions, skipped or deleted tests, assertions stripped out, unimplemented stubs, thresholds edited down. Use when no quality bar is written down, when the user says "set up constraints" or "define our standards", when the user wants dimensions they care about — accessibility, web performance, coverage — set up as enforced constraints, when an agent keeps silencing checks or skipping tests to get to green, when you need a coverage or performance threshold and don't know what number to pick, or when an agent writes more code than anyone will read.TestingNo warnings★ 113K↓ —
- principle-prove-it-worksbacknotprop/pstackApply after completing a task, before declaring done. Verify against the real artifact (run the feature, read the actual value, inspect the diff), not a proxy, self-report, or 'it compiles.'ProductivityNo warnings★ 3.5K↓ —Also in 2 other repos
- reproduce-and-fix-issuesbacknotprop/pstackReproduce triaged Slack bugs through a configured app-control adapter, verify existing fixes, and open a bounded draft pull request only after before-and-after proof. Use only from the configured Benny repro automation.EngineeringNo warnings★ 3.5K↓ —
- wan27-mediadavepoon/buildwithclaudeGenerate images and videos with Wan27, discover available models, estimate credit costs, and retrieve generation results through its MCP tools or CLI. Use when the user chooses Wan27 or wan2-7.io for media creation or task tracking.EngineeringNo warnings★ 3.7K↓ —
- navan-rate-limitsjeremylongshore/tons-of-skills-marketplaceConfigure Navan integration concurrency and retry controls from the tenant contract and observed responses. Use when controlling throughput or throttling. Trigger with "Navan rate limit", "throttle Navan sync", or "Navan backpressure".LegalNo warnings★ 2.9K↓ —
- cdf-auto-labelingNVIDIA/skillsUse when a user needs to get started with CDF Auto-Labeling, plan a scenario, run or debug a shipped cookbook, author prompts or cookbooks, migrate a pipeline, configure a stage, or pull the prebuilt stage containers from NGC (nvcr.io). Confirm critical inputs (data path, output path, endpoints) and ask when any are missing. This is a router: read the matching reference instead of inventing a workflow.PlanningNo warnings★ 3.8K↓ —
- tao-train-dinoNVIDIA/skillsDINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Use when training, evaluating, exporting, distilling, quantizing, or running inference for a TAO DINO detector. Trigger phrases include "train DINO", "DETR object detection", "TAO 2D detection", "DINO with distillation".OtherNo warnings★ 3.8K↓ —
- gsd:helpdavepoon/buildwithclaudeShow available GSD commands and usage guideOtherNo warnings★ 3.7K↓ —
- create-formal-verification-skillbacknotprop/pstackGenerate a project-local skill that formally verifies the code where a bug costs the most and tests reach the least, in any language, with whichever verification tool fits. Use for /create-formal-verification-skill, "model-check this race", "prove this invariant", or when concurrency, retries, state machines, parsers, or unsafe code need more than tests.TestingNo warnings★ 3.5K↓ —
- offensive-wifi-reconSnailSploit/Claude-RedWi-Fi reconnaissance methodology — adapter selection, monitor mode and packet injection setup, regulatory domain handling, multi-band airspace mapping, hidden SSID discovery, BSSID/ESSID/channel/PMF/encryption fingerprinting, client probe analysis, vendor OUI lookup, war-driving with Kismet/airodump-ng/Wigle, and structured airspace data capture for downstream attacks. Use at the start of any wireless engagement to build the target map before active attacks; covers 2.4 GHz, 5 GHz, and 6 GHz (Wi-Fi 6E) bands and adapter compatibility for each.LegalNo warnings★ 10.3K↓ —
- figure-it-outbacknotprop/pstackDesign an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions. Use for /figure-it-out or 'figure it out'.DesignNo warnings★ 3.5K↓ —
- groq-observabilityjeremylongshore/tons-of-skills-marketplaceSet up observability for Groq integrations: latency histograms, token throughput, rate limit gauges, cost tracking, and Prometheus alerts. Use when instrumenting Groq API calls, building a metrics dashboard, or wiring latency/cost/rate-limit alerts. Trigger with phrases like "groq monitoring", "groq metrics", "groq observability", "monitor groq", "groq alerts", "groq dashboard".DevOpsNo warnings★ 2.9K↓ —
- technical-writingbacknotprop/pstackLayered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax. Use for /technical-writing or when writing or reviewing docs, RFCs, readmes, PR descriptions, or commit messages.WritingNo warnings★ 3.5K↓ —
- navan-cost-tuningjeremylongshore/tons-of-skills-marketplaceAnalyze Navan travel, expense, integration, and operating costs without freezing mutable prices. Use when setting budgets or evaluating workflow tradeoffs. Trigger with "reduce Navan cost", "Navan budget", or "control travel spend".ProductivityNo warnings★ 2.9K↓ —
- audience-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an influencer-selection criteria set, and in niche mode produces a community map, culture decode (language/norms/taboos), key-voice tiers, a Brand Fit Score, and a phased entry strategy. Not for finding specific creators to contract — use influencer-discovery; not for scoring a shortlist on Suitability — use fit-scorer. 目标受众画像/人群分析 · 细分社群/亚文化调研ScienceNo warnings★ 3.1K↓ —
- closedavepoon/buildwithclaudeCommit the session to durable vault memory and prepare a clean resume pointEngineeringNo warnings★ 3.7K↓ —
- plotlyforyourhealth111-pixel/Vibe-SkillsInteractive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).DocumentsNo warnings★ 3.8K↓ —Also in 2 other repos
- technical-seo-checkeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "check technical SEO"; audits crawlability, indexing, Core Web Vitals, robots.txt, sitemaps, canonicals, redirects, and migrations. Not for on-page tags or content — use on-page-seo-checker. 技术SEO/网站速度MarketingNo warnings★ 3.1K↓ —
- idea-refineaddyosmani/agent-skillsRefines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on "ideate", "refine this idea", or "stress-test my plan".TestingNo warnings★ 113K↓ —
- principle-experience-firstbacknotprop/pstackApply when product, UX, or feature-scope tradeoffs come up. Choose user delight over implementation convenience; ship fewer polished features over more rough ones.DesignNo warnings★ 3.5K↓ —Also in 3 other repos
- miro-debug-bundlejeremylongshore/tons-of-skills-marketplaceDesign and implement a repository-side Miro diagnostic-bundle workflow with bounded metadata and automatic redaction. Use when escalating a Miro failure. Trigger with "build Miro debug bundle".EngineeringNo warnings★ 2.9K↓ —
- ulw-loopcode-yeongyu/oh-my-openagentA goal-like loop that decomposes work into systematic, evidence-bound ultrawork steps. Use when the user wants a goal loop or durable, checkpointed execution.OtherNo warnings★ 70.7K↓ —
- tao-train-rtdetrNVIDIA/skillsRT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with competitive accuracy and supports distillation and quantization for deployment optimization. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO RT-DETR model. Trigger phrases include "train RT-DETR", "real-time DETR", "low-latency object detection", "RT-DETR distillation / quantization".DevOpsNo warnings★ 3.8K↓ —
cdf-auto-labeling
NVIDIA/skills
PlanningUpdated 19 hours ago
From the author
Use when a user needs to get started with CDF Auto-Labeling, plan a scenario, run or debug a shipped cookbook, author prompts or cookbooks, migrate a pipeline, configure a stage, or pull the prebuilt stage containers from NGC (nvcr.io). Confirm critical inputs (data path, output path, endpoints) and ask when any are missing. This is a router: read the matching reference instead of inventing a workflow.
Install
npx skills add NVIDIA/skills --skill cdf-auto-labeling -a claude-code
Installs to .claude/skills/cdf-auto-labeling/ · 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 (48)
- BENCHMARK.md
- SKILL.md
- evals/evals.json
- references/README.md
- references/cookbook-authoring.md
- references/cookbook-authoring/cookbook-schema.md
- references/cookbook-authoring/scenario-authoring.md
- references/event-and-person-attribute-search.md
- references/event-and-person-attribute-search/run-reference.md
- references/event-verification-reasoning.md
- references/event-verification-reasoning/run-reference.md
- references/ngc-containers.md
- +36 more