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.
49,352 skills from 2,375 repositories · updated 13 minutes ago
49,352 skills
- aurakitdavepoon/buildwithclaudeSonnet Amplified fullstack engine. 34 modes, SEC-01~15 OWASP security, 13 runtime hooks, 75% token reduction. Install: npx @smorky85/aurakitSecurityNo warnings★ 3.7K↓ —
- doca-commonNVIDIA/skillsUse this skill whenever the user is doing hands-on DOCA programming on a BlueField DPU or ConnectX NIC and needs the foundation primitives every per-library context rests on — walking the doca_ctx lifecycle, discovering doca_dev / doca_devinfo and gating on doca_*_cap_* before trusting a feature, wiring doca_mmap / doca_buf_inventory / doca_buf for zero-copy I/O across libraries, driving doca_pe for completions, or DOCA Log's two-tier (--sdk-log-level vs app-side) model. Trigger even when the user does not say "DOCA Common" — typical implicit phrasings include "my tasks submit but nothing completes", "DOCA_ERROR_BAD_STATE from doca_ctx_start", "--sdk-log-level does nothing for my DOCA_LOG_DBG lines", "share a buf between doca_dma and doca_rdma", or "crashes far from the offending line". Refuse and route elsewhere for per-library questions in isolation (load doca-flow / doca-rdma / doca-eth alongside), installing DOCA (doca-setup), or doc lookup (doca-public-knowledge-map).ProductivityNo warnings★ 3.8K↓ —
- memstackdavepoon/buildwithclaude127 production skills across 10 categories (Security, Deployment, Dev, Business, Content, SEO, Marketing, Product, Automation, Core). Skills auto-load based on your task. Includes localhost dashboard with Agent Runner, Burn Report, and session diary.SecurityNo warnings★ 3.7K↓ —
- cudaq-guideNVIDIA/skillsUse for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.OtherNo warnings★ 3.8K↓ —
- gsd:profile-userdavepoon/buildwithclaudeGenerate developer behavioral profile and create Claude-discoverable artifactsOtherNo warnings★ 3.7K↓ —
- nvidia-appNVIDIA/skillsNVIDIA App MCP: drivers, games, laptops, overlay. Check drivers, manage and optimize games, configure laptop features.OtherNo warnings★ 3.8K↓ —
- audit-augmentationtrailofbits/skillsAugments Trailmark code graphs with external audit findings from SARIF static analysis results, weAudit annotation files, and version-gated Trailmark 0.4.x binary-analysis graph exports. Maps findings to graph nodes by file and line overlap, creates severity-based subgraphs, and enables cross-referencing findings with pre-analysis data (blast radius, taint, etc.). Use when projecting SARIF results onto a code graph, overlaying weAudit annotations, importing binary graph findings, cross-referencing Semgrep, CodeQL, or binary-analysis findings with call graph data, or visualizing audit findings in the context of code structure.EngineeringNo warnings★ 8K↓ —
- testingdavepoon/buildwithclaudeTesting strategies and methodologies including TDD, E2E testing, and multi-framework supportTestingNo warnings★ 3.7K↓ —
- nikadavepoon/buildwithclaudeRuns repeatable AI work as checked, budgeted workflow files. The agent captures a repeated task as a .nika.yaml DAG, audits cost/permits/schema before a single token is spent, and runs it with tamper-evident traces.ProductivityNo warnings★ 3.7K↓ —
- gsd:plan-phasedavepoon/buildwithclaudeCreate detailed phase plan (PLAN.md) with verification loopPlanningNo warnings★ 3.7K↓ —
- google-ads-copynowork-studio/notfair-pluginGenerate and A/B test Google Ads copy. Use when asked to write ad copy, headlines, descriptions, create ad variants, test ad messaging, improve CTR, or generate RSA (Responsive Search Ad) components. Trigger on "ad copy", "write ads", "headlines", "descriptions", "RSA", "responsive search ad", "ad text", "ad creative", "improve CTR", "ad A/B test", "ad variants", "write me an ad", "ad variation experiment", or when the user wants to improve click-through rate on existing ads.MarketingNo warnings★ 4.1K↓ —
- meta-tags-optimizernowork-studio/notfair-pluginOptimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media preview", "my click rate is low", "title optimization", or any meta tag task.TestingNo warnings★ 4.1K↓ —
- paid-ads-linkedinnowork-studio/notfair-pluginAudit, diagnose, plan, and safely operate connected LinkedIn Ads accounts through the NotFair MCP, with an export-based fallback. Use for LinkedIn advertising, sponsored content, lead-generation forms, job-title or company targeting, campaign groups, creatives, conversions, lead quality, budgets, bids, or approved LinkedIn campaign changes.MarketingNo warnings★ 4.1K↓ —
- paid-ads-chatgptnowork-studio/notfair-pluginPlan and review ChatGPT Ads experiments without assuming ad inventory, account access, or platform capabilities. Use for ChatGPT advertising, OpenAI ads, conversational ad concepts, ChatGPT campaign plans, or performance reviews from a verified export.MarketingNo warnings★ 4.1K↓ —
- programmatic-seonowork-studio/notfair-pluginProgrammatic SEO planning and audit: building or evaluating large sets of template-generated pages that target long-tail query patterns (e.g. "[service] in [city]", "[product] vs [product]", "[tool] for [use-case]"). Covers data-source and template design, thin/duplicate-content and doorway-page risks, per-page uniqueness and value thresholds, internal linking and hubs, indexation management (publish vs. noindex), and scaling without a manual action. Use whenever the user wants to generate many pages from a template/dataset, build location/comparison/use-case pages at scale, or asks why generated pages aren't indexing. Trigger on: "programmatic SEO", "pSEO", "generate pages at scale", "templated pages", "location pages at scale", "comparison pages", "[city] pages", "my generated pages aren't indexed", "doorway pages", "scale content". For one-off content use /content-writer; for keyword discovery use /keyword-research.MarketingNo warnings★ 4.1K↓ —
- google-ads-landingnowork-studio/notfair-pluginScore and diagnose Google Ads landing pages. Use when asked to audit a landing page, check landing page quality, diagnose high-CTR but low-conversion-rate ad groups, improve Quality Score's Landing Page Experience component, or compare an ad group's messaging against its landing page. Trigger on "landing page audit", "landing page score", "landing page quality", "why is my conversion rate low", "LPX", "landing page experience", "ad to page match", or when `/google-ads-audit` surfaces a high-CTR / low-CVR ad group.MarketingNo warnings★ 4.1K↓ —
- gsd:graphifydavepoon/buildwithclaudeBuild, query, and inspect the project knowledge graph in .planning/graphs/PlanningNo warnings★ 3.7K↓ —
- gsd:debugdavepoon/buildwithclaudeSystematic debugging with persistent state across context resetsEngineeringNo warnings★ 3.7K↓ —
- stock-liquidityhimself65/finance-skillsAnalyze how liquid a stock is using Yahoo Finance data (yfinance): bid-ask spreads, volume and dollar volume (ADTV), top-of-book and options depth, square-root market impact and slippage estimates, turnover ratio, and Amihud illiquidity, rolled into a liquidity grade. Use this skill whenever the user asks about liquidity or trading costs — how easily a position can be entered or exited, what a large order would do to the price, spread or execution-cost estimates, order book depth, volume patterns, or liquidity comparisons — especially for small caps, penny stocks, and thinly traded names.FinanceNo warnings★ 3.5K↓ —
- yfinance-datahimself65/finance-skillsFetch financial and market data with the yfinance Python library (Yahoo Finance). Use this skill whenever the user wants stock data: current quotes and price history, financial statements (income statement, balance sheet, cash flow), options chains, dividends and splits, earnings and analyst estimates, price targets and ratings, institutional and insider holdings, news, multi-ticker comparisons, stock screens, or sector and industry data. Use it even when the user gives only a ticker symbol (AAPL, MSFT, TSLA) and the intent has to be inferred. For earnings previews or recaps, estimate revisions, valuation, correlation, liquidity, or ETF premium analysis, prefer the dedicated skill.FinanceNo warnings★ 3.5K↓ —
- hormuz-straithimself65/finance-skillsCheck the live status of the Strait of Hormuz from the Hormuz Strait Monitor dashboard: open, restricted, or closed status, tanker transits vs normal, stranded vessels, Brent price impact, war-risk insurance levels, cargo throughput, tanker freight rates, diplomatic developments, and global trade impact. Use this skill whenever the user asks about the Strait of Hormuz or the Persian Gulf in the context of oil, shipping, or geopolitical risk — whether Hormuz is open, chokepoint or transit disruption, Gulf tanker traffic, war-risk premiums, Middle East shipping routes, or energy supply-chain risk.ProductivityNo warnings★ 3.5K↓ —
- rag-evalNVIDIA/skillsFilesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.OtherNo warnings★ 3.8K↓ —
- landing-experience-checkeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "pre-launch check the landing page", "run a Quality-Score preflight", or "verify ad-to-page message match before launch"; produces an ad↔page continuity report — message-match gaps, above-the-fold check, page-speed read, form-friction count, mobile-render flags — as a pass/fix punch list. Not for redesigning or rewriting the page — use landing-optimizer; not for scoring the account or the RQS — use ad-account-auditor. 落地页体验预检/广告落地页一致性检查DesignNo warnings★ 3.1K↓ —
- rag-perfNVIDIA/skillsPerformance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).TestingNo warnings★ 3.8K↓ —
scvi-tools
anthropics/knowledge-work-plugins
OfficialOtherUpdated 8 hours ago
From the author
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
Install
npx skills add anthropics/knowledge-work-plugins --skill scvi-tools -a claude-code
Installs to .claude/skills/scvi-tools/ · 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: APACHE-2.0
Safety checks on SKILL.md
- Ships scripts we have not reviewedLow
Why 90
Security85
Provenance100
Maintenance100
Licence100
Adoption70
Files (22)
- LICENSE.txt
- SKILL.md
- references/atac_peakvi.md
- references/batch_correction_sysvi.md
- references/citeseq_totalvi.md
- references/data_preparation.md
- references/environment_setup.md
- references/label_transfer.md
- references/multiome_multivi.md
- references/rna_velocity_velovi.md
- references/scarches_mapping.md
- references/scrna_integration.md
- +10 more