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.
38,957 skills from 1,786 repositories · updated 4 minutes ago
38,957 skills
- lexsickn33/agentic-awesome-skillsCentralized 'Truth Engine' for cross-jurisdictional legal context (US, EU, CA) and contract scaffolding.LegalNo warnings★ 48.4K↓ —Also in 1 other repo
- curlshotsickn33/agentic-awesome-skillsCapture web page screenshots, PDFs and scrolling videos, or render HTML/Markdown to images, with the hosted CurlShot API.MediaNo warnings★ 48.4K↓ —
- archify-reviewtt-a1i/archifyReview Archify issues, PRs, or code through value, cost, and impact to support evidence-based maintenance decisions. Use for issue triage, change reviews, and code quality assessments.EngineeringNo warnings★ 88.5K↓ —
- ux-flowsickn33/agentic-awesome-skillsDesign user flows and navigation structure following proven UX patternsDesignNo warnings★ 48.4K↓ —Also in 1 other repo
- optimize-for-gpuK-Dense-AI/scientific-agent-skillsGPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.DataNo warnings★ 54.4K↓ —
- ginkgo-cloud-labK-Dense-AI/scientific-agent-skillsGuides protocol selection, input preparation, pricing checks, and browser ordering on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio). Applies to cell-free, E. coli, and Pichia protein expression; HiBiT, A280, and LabChip readouts; IVT mRNA/circRNA synthesis; thermal shift assays; Echo-MS methods; SPR target onboarding; plate-reader assay onboarding; and fluorescent pixel art.BrowserNo warnings★ 54.4K↓ —
- hunt-grpcsickn33/agentic-awesome-skillsHunt gRPC vulnerabilitiesSecurityNo warnings★ 48.4K↓ —
- hunt-atosickn33/agentic-awesome-skillsHunt account takeover taxonomyOtherNo warnings★ 48.4K↓ —Also in 1 other repo
- offerscoreyhaines31/marketingskillsWhen the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure. Also use when the user mentions 'offer,' 'offer design,' 'build an offer,' 'grand slam offer,' 'irresistible offer,' 'value stack,' 'bonus stack,' 'guarantee,' 'risk reversal,' 'money-back guarantee,' 'scarcity,' 'urgency,' 'high-ticket offer,' 'productize a service,' 'naming an offer,' 'payment plan,' 'down-sell,' 'upsell offer,' or 'why isn't my offer converting.' Best for services, agencies, courses, coaching, info products, high-ticket B2B, and direct-response. If you run pure self-serve SaaS, read pricing first — tiers and packaging do more work there. For price level itself (tiers, freemium, value metric), see pricing. For the page that presents the offer, see copywriting. For the launch moment, see launch. For sales collateral, see sales-enablement.DesignNo warnings★ 56.3K↓ —
- usfiscaldataK-Dense-AI/scientific-agent-skillsQueries the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending statistics.FinanceNo warnings★ 54.4K↓ —
- yes-mdsickn33/agentic-awesome-skills6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest.EngineeringNo warnings★ 48.4K↓ —Also in 1 other repo
- parallel-webK-Dense-AI/scientific-agent-skillsUses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.ScienceNo warnings★ 54.4K↓ —
- hunt-idorsickn33/agentic-awesome-skillsHunting skill for idor vulnerabilities. Built from 26 public bug bounty reports. Use when hunting idor on any target.SecurityNo warnings★ 48.4K↓ —
- zarr-pythonK-Dense-AI/scientific-agent-skillsStores and queries chunked N-D scientific arrays with Zarr-Python 3, including codecs, sharding, S3/GCS storage, and NumPy/Dask/Xarray integration. Use for array layout, bounded I/O, format migration, or scientific metadata preservation.EngineeringNo warnings★ 54.4K↓ —
- plotlysickn33/agentic-awesome-skillsInteractive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.ScienceNo warnings★ 48.4K↓ —
- gdb-clisickn33/agentic-awesome-skillsGDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlationEngineeringNo warnings★ 48.4K↓ —Also in 1 other repo
- hunt-ldapsickn33/agentic-awesome-skillsHunt LDAP Injection and XPath InjectionOtherNo warnings★ 48.4K↓ —
- lemmalysickn33/agentic-awesome-skillsAlgorithm-first discipline: state Big-O, data structure, and algorithm family BEFORE writing loops, queries, or recursion. Catches O(n^2), N+1, and brute-force defaults.WritingNo warnings★ 48.4K↓ —Also in 1 other repo
- deepapisickn33/agentic-awesome-skillsUse DeepAPI for supported scraping, research, and email workflows with explicit credentials and approval.BrowserNo warnings★ 48.4K↓ —Also in 1 other repo
- research-grantsK-Dense-AI/scientific-agent-skillsSupports research proposal preparation and review for NSF, NIH, DOE, DARPA, and Taiwan NSTC, including opportunity-specific requirements, aims, review criteria, budgets, broader impacts, forms, and resubmissions. Use for investigator-authored grant development, compliance matrices, and proposal critiques.ScienceNo warnings★ 54.4K↓ —
- ot-icssickn33/agentic-awesome-skillsAuthorized OT/ICS security assessment: Purdue-model zoning review, PLC/SCADA exposure, industrial protocol discovery, and passive-first evaluation discipline.SecurityNo warnings★ 48.4K↓ —Also in 1 other repo
- jenkinssickn33/agentic-awesome-skillsCreate and manage Jenkins CI/CD pipelines, configure agents, manage plugins, and automate builds.DevOpsNo warnings★ 48.4K↓ —Also in 1 other repo
- tamarindK-Dense-AI/scientific-agent-skillsProvides access to a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design (RFdiffusion, ProteinMPNN, BoltzGen), antibody and nanobody design and developability, protein-ligand docking (DiffDock, Autodock Vina), binding-affinity prediction, MSA generation, and molecular dynamics. Use when the user mentions Tamarind or tamarind.bio, wants to run any of these open-source tools in the cloud, references app.tamarind.bio/api or the x-api-key header, or needs to submit batches of sequences for structural or biophysical characterization.DesignNo warnings★ 54.4K↓ —Also in 1 other repo
- dhdna-profilerK-Dense-AI/scientific-agent-skillsApplies the DHDNA framework as an exploratory rubric for reasoning and writing patterns in supplied text. Used for explicit requests for DHDNA, cognitive-style reflection, a thinking-pattern profile, or comparisons of textual reasoning. Scores describe evidence in the sample, not validated psychological traits or personal identity.WritingNo warnings★ 54.4K↓ —
clean-code
sickn33/agentic-awesome-skills
EngineeringUpdated 19 hours ago
From the author
This skill embodies the principles of "Clean Code" by Robert C. Martin (Uncle Bob). Use it to transform "code that works" into "code that is clean."
Install
npx skills add sickn33/agentic-awesome-skills --skill clean-code -a claude-code
Installs to .claude/skills/clean-code/ · 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
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption72
Files (1)
- SKILL.md