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.
45,587 skills from 2,205 repositories · updated 7 minutes ago
45,585 skills
- crewaisickn33/agentic-awesome-skillsDesign role-based agents, tasks, crews, and flows with CrewAI.DesignNo warnings★ 48.5K↓ —
- linkerd-patternswshobson/agentsImplement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.SecurityNo warnings★ 41.7K↓ —
- screen-recordinggithub/awesome-copilotCreate annotated animated GIF demos and screen recordings for pull requests and documentation. Covers frame capture, timing, imageio-based GIF creation, and per-frame annotation workflows.OtherNo warnings★ 40.4K↓ —
- conventional-branchgithub/awesome-copilotCreate Git branches following the Conventional Branch specification (feature/, bugfix/, hotfix/, release/, chore/, plus AI agent prefixes ai/, copilot/, cursor/, claude/, codex/). Use when creating a new branch, naming a branch, or checking whether a branch name complies with the spec.PlanningNo warnings★ 40.4K↓ —
- python-performance-optimizationwshobson/agentsProfile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.EngineeringNo warnings★ 41.7K↓ —
- sast-configurationwshobson/agentsConfigure Static Application Security Testing (SAST) tools for automated vulnerability detection in application code. Use when setting up security scanning, implementing DevSecOps practices, or automating code vulnerability detection.SecurityNo warnings★ 41.7K↓ —
- screen-reader-testingwshobson/agentsTest web applications with screen readers including VoiceOver, NVDA, and JAWS. Use when validating screen reader compatibility, debugging accessibility issues, or ensuring assistive technology support.TestingNo warnings★ 41.7K↓ —
- python-code-stylewshobson/agentsPython code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.EngineeringNo warnings★ 41.7K↓ —
- pptx-deck-contextwshobson/agentsUse when preparing the narrative, sources, and design context for a new editable PPTX deck.DocumentsNo warnings★ 41.7K↓ —
- error-handling-patternswshobson/agentsMaster error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.OtherNo warnings★ 41.7K↓ —
- 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★ 50.5K↓ —
- postmortem-writingwshobson/agentsWrite effective blameless postmortems with root cause analysis, timelines, and action items. Use when conducting incident reviews, writing postmortem documents, or improving incident response processes.WritingNo warnings★ 41.7K↓ —
- cockneysickn33/agentic-awesome-skillsCheeky Cockney coding mode: terse replies, the smallest correct change, plain English for anything risky.EngineeringNo warnings★ 48.5K↓ —
- postgresql-optimizationgithub/awesome-copilotPostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.DataNo warnings★ 40.4K↓ —Also in 1 other repo
- nature-writingYuan1z0825/nature-skillsDraft or restructure scientific manuscript arguments, sections, and initial-submission materials from author-provided evidence. Use for 论文写作、章节起草、论证重构、正文压缩、首次投稿材料. Use nature-polishing for language-only edits to existing prose and nature-response for post-decision correspondence.WritingNo warnings★ 50.5K↓ —
- aws-ec2sickn33/agentic-awesome-skillsManage EC2 instances, AMIs, and auto-scaling groups. Configure security groups, key pairs, and instance types. Use when deploying compute resources on AWS.DevOpsNo warnings★ 48.5K↓ —
- create-tldr-pagegithub/awesome-copilotCreate a tldr page from documentation URLs and command examples, requiring both URL and command name.OtherNo warnings★ 40.4K↓ —
- markdown-to-htmlgithub/awesome-copilotConvert Markdown files to HTML similar to `marked.js`, `pandoc`, `gomarkdown/markdown`, or similar tools; or writing custom script to convert markdown to html and/or working on web template systems like `jekyll/jekyll`, `gohugoio/hugo`, or similar web templating systems that utilize markdown documents, converting them to html. Use when asked to "convert markdown to html", "transform md to html", "render markdown", "generate html from markdown", or when working with .md files and/or web a templating system that converts markdown to HTML output. Supports CLI and Node.js workflows with GFM, CommonMark, and standard Markdown flavors.MediaNo warnings★ 40.4K↓ —
- 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★ 48.5K↓ —
- powerbi-modelinggithub/awesome-copilotPower BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.DesignNo warnings★ 40.4K↓ —
- social-publishingwshobson/agentsSchedule and publish social media posts across 13 platforms (X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, Pinterest) via the SocialClaw API. Use when the user wants to publish, schedule, or manage social media content programmatically. Requires SOCIALCLAW_API_KEY.MarketingNo warnings★ 41.7K↓ —
- python-packagingwshobson/agentsCreate distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.EngineeringNo warnings★ 41.7K↓ —
- checkpoint-promotionwshobson/agentsGate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion. Use after a training run produces a checkpoint, when deciding whether a tuned model ships, or when a promoted model needs re-gating against updated goldens.OtherNo warnings★ 41.7K↓ —
- arize-annotationgithub/awesome-copilotCreates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Python SDK. Use when the user mentions annotation config, annotation queue, label schema, human feedback, bulk annotate spans, update_annotations, labeling queue, annotate record, or human review.EngineeringNo warnings★ 40.4K↓ —
phoenix-evals
github/awesome-copilot
OtherUpdated 2 days ago
From the author
Build and run evaluators for AI/LLM applications using Phoenix.
Install
npx skills add github/awesome-copilot --skill phoenix-evals -a claude-code
Installs to .claude/skills/phoenix-evals/ · 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 95
Security100
Provenance95
Maintenance100
Licence100
Adoption71
Files (35)
- SKILL.md
- references/axial-coding.md
- references/common-mistakes-python.md
- references/error-analysis-multi-turn.md
- references/error-analysis.md
- references/evaluate-dataframe-python.md
- references/evaluators-code-python.md
- references/evaluators-code-typescript.md
- references/evaluators-custom-templates.md
- references/evaluators-llm-python.md
- references/evaluators-llm-typescript.md
- references/evaluators-overview.md
- +23 more