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.
32,478 skills from 1,425 repositories · updated 10 minutes ago
32,476 skills
- python-resource-managementwshobson/agentsPython resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.EngineeringNo warnings★ 41.6K↓ —
- 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↓ —
- nature-paper-xrayYuan1z0825/nature-skillsRead one supplied paper closely enough to reconstruct how its authors actually got there, rather than restating what the abstract claims. Use for 精读论文, 讲透这篇论文, 把这篇读懂, 作者为什么这么设计, 这个公式怎么推出来的, paper x-ray, and deep single-paper comprehension before building on, reviewing, presenting, or citing that paper. Recovers the real starting point and the bet the authors placed, separates load-bearing design from decoration, grounds each key formula in a worked micro-example with concrete numbers, and checks how far the evidence actually reaches, including where the authors are confident and where the paper does not report something. Delivers a structured Markdown long-read by default. Not a summary, not a translation, not a peer review.ScienceNo warnings★ 50.4K↓ —
- nature-polishingYuan1z0825/nature-skillsPolish, translate, or tighten existing academic prose while preserving facts, terminology, and evidence boundaries. Use for 论文润色、学术翻译、正文精简, or manuscript LaTeX layout fixes. Use nature-writing when the main task is drafting new sections or rebuilding the manuscript argument.WritingNo warnings★ 50.4K↓ —
- simplify-codebasett-a1i/archifySimplification audit or authorized codebase simplification whose stated objective is to remove accidental complexity. Use for evidence-backed deletion or consolidation of dead code, duplicate state, redundant APIs or layers, ownerless abstractions, obsolete compatibility or design records, and over-engineering in any language; also use for 代码简化 or 熵回收. Do not use for general code review, onboarding, style-only refactoring, or performance tuning.DesignNo warnings★ 88.5K↓ —
- aws-resource-querygithub/awesome-copilotQuery AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.DevOpsNo warnings★ 40.4K↓ —
- microservices-patternswshobson/agentsDesign microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.DesignNo warnings★ 41.6K↓ —
- azure-sqlsickn33/agentic-awesome-skillsProvision Azure SQL Database and Cosmos DB. Configure security, backups, and replication. Use when deploying managed databases on Azure.DevOpsNo warnings★ 48.4K↓ —
- ui-scoresickn33/agentic-awesome-skillsScore a UI file's design quality 0-100 against StyleSeed's design language — per-category breakdown, the worst offenders, and a prioritized fix list. A quantified version of /ss-review.DesignNo warnings★ 48.4K↓ —Also in 1 other repo
- cohesivitysickn33/agentic-awesome-skillsProvision headless backend services for AI agents through Cohesivity: hosting, databases, storage, LLMs, and third-party APIs over one HTTP API. Use when a trusted .cohesivity file exists or the user approves a new backend.EngineeringNo warnings★ 48.4K↓ —
- workoraisickn33/agentic-awesome-skillsWorkorAI talent-marketplace skill: candidates search jobs and manage applications; employers run the job lifecycle and get ranked candidate matches with white-box fit explanations.OtherNo warnings★ 48.4K↓ —
- film-crewsickn33/agentic-awesome-skillsTurn a one-line AI video idea into a shot list and per-shot, model-ready prompts via a film crew (director, DP, gaffer, editor, script supervisor). Also fixes failing video prompts and diagnoses bad clips before a reroll. Works with Wan, LTX, Kling, Veo, Seedance, Hailuo, Runway.MediaNo warnings★ 48.4K↓ —
- ui-screenshotsgithub/awesome-copilotCapture screenshots of web apps during development using Playwright and PIL. Supports full-page captures, interactive states, and an iterate-on-crop workflow that avoids slow re-screenshots.DesignNo warnings★ 40.4K↓ —
- from-the-other-side-quinngithub/awesome-copilotCollaboration profile for Quinn: curious, energetic, and implementation-focused partnership patterns for Ember sessions with Alison.OtherNo warnings★ 40.4K↓ —
- sponsor-findergithub/awesome-copilotFind which of a GitHub repository's dependencies are sponsorable via GitHub Sponsors. Uses deps.dev API for dependency resolution across npm, PyPI, Cargo, Go, RubyGems, Maven, and NuGet. Checks npm funding metadata, FUNDING.yml files, and web search. Verifies every link. Shows direct and transitive dependencies with OSSF Scorecard health data. Invoke with /sponsor followed by a GitHub owner/repo (e.g. "/sponsor expressjs/express").EngineeringNo warnings★ 40.4K↓ —
- entra-agent-usergithub/awesome-copilotCreate Agent Users in Microsoft Entra ID from Agent Identities, enabling AI agents to act as digital workers with user identity capabilities in Microsoft 365 and Azure environments.DevOpsNo warnings★ 40.4K↓ —
- hunt-corssickn33/agentic-awesome-skillsHunt CORS MisconfigurationOtherNo warnings★ 48.4K↓ —
- nature-dataYuan1z0825/nature-skillsDraft or audit manuscript Data/Code Availability statements, dataset access routes, repository plans, and FAIR metadata. Use for 数据可用性声明、数据共享、数据仓库选择 and dataset citations; not general data cleaning or statistical analysis.PlanningNo warnings★ 50.4K↓ —
- claude-automation-recommenderCherryHQ/cherry-studioRecommend Claude Code automations (hooks, subagents, skills, plugins, MCP) and review an existing setup.EngineeringNo warnings★ 52.9K↓ —
- qdrant-scalinggithub/awesome-copilotGuides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.OtherNo warnings★ 40.4K↓ —
- fabric-lakehousegithub/awesome-copilotUse this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.EngineeringNo warnings★ 40.4K↓ —
- microsoft-docsgithub/awesome-copilotQuery official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.DevOpsNo warnings★ 40.4K↓ —
- generate-imagegithub/awesome-copilotGenerate images using AI. Use when asked to generate, create, or make images, textures, icons, sprites, artwork, visual assets, or mockups. Supports OpenAI (gpt-image-2) and Google Gemini (Nano Banana). Requires an API key for the chosen provider.MediaNo warnings★ 40.4K↓ —
- github-releasegithub/awesome-copilotGuides IA through releasing a new version of a GitHub library end-to-end. Handles SemVer versioning and Keep a Changelog formatting automatically.OtherNo warnings★ 40.4K↓ —
nature-paper-xray
Yuan1z0825/nature-skills
From the author
Read one supplied paper closely enough to reconstruct how its authors actually got there, rather than restating what the abstract claims. Use for 精读论文, 讲透这篇论文, 把这篇读懂, 作者为什么这么设计, 这个公式怎么推出来的, paper x-ray, and deep single-paper comprehension before building on, reviewing, presenting, or citing that paper. Recovers the real starting point and the bet the authors placed, separates load-bearing design from decoration, grounds each key formula in a worked micro-example with concrete numbers, and checks how far the evidence actually reaches, including where the authors are confident and where the paper does not report something. Delivers a structured Markdown long-read by default. Not a summary, not a translation, not a peer review.
Install
npx skills add Yuan1z0825/nature-skills --skill nature-paper-xray -a claude-code
Installs to .claude/skills/nature-paper-xray/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
No warnings.
Why 95
Files (7)
- README.md
- README_EN.md
- SKILL.md
- agents/openai.yaml
- manifest.yaml
- references/deep-reading-protocol.md
- references/evidence-boundary.md