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.
45,604 skills from 2,205 repositories · updated 46 minutes ago
45,602 skills
- triagesickn33/agentic-awesome-skillsMove issues and external PRs through a state machine of triage roles — categorise, verify, grill if needed, and write agent-ready briefs.WritingNo warnings★ 48.5K↓ —
- vaexK-Dense-AI/scientific-agent-skillsProcesses large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion. Use for larger-than-RAM HDF5, Arrow, CSV, or Parquet analysis, virtual feature engineering, or Vaex ML preprocessing; distinguishes these operations from estimators and conversions that materialize data.DataNo warnings★ 54.5K↓ —Also in 1 other repo
- eval-harness-firstwshobson/agentsBuild the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines. Use when starting a fine-tuning effort, when converting traces into an eval set, or when calibrating a judge against human labels.OtherNo 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↓ —
- azure-pricinggithub/awesome-copilotFetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.DevOpsNo warnings★ 40.4K↓ —
- aws-lambdasickn33/agentic-awesome-skillsBuild and deploy serverless functions on AWS Lambda. Configure triggers, manage permissions, and optimize performance. Use when implementing serverless applications.DevOpsNo warnings★ 48.5K↓ —
- arrowspacesickn33/agentic-awesome-skillsSpectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.PlanningNo warnings★ 48.5K↓ —
- vercel-react-best-practicesCherryHQ/cherry-studioReact and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.EngineeringNo warnings★ 53K↓ —
- ai-productsickn33/agentic-awesome-skillsDesign and evaluate LLM product features, retrieval, validated outputs, latency, and cost controls.DesignNo warnings★ 48.5K↓ —
- agentphonesickn33/agentic-awesome-skillsBuild AI phone agents with AgentPhone API. Use when the user wants to make phone calls, send/receive SMS, manage phone numbers, create voice agents, set up webhooks, or check usage — anything related to telephony, phone numbers, or voice AI.EngineeringNo warnings★ 48.5K↓ —
- threat-mitigation-mappingwshobson/agentsMap identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness.SecurityNo warnings★ 41.7K↓ —
- debugging-strategieswshobson/agentsMaster systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.EngineeringNo warnings★ 41.7K↓ —
- agentfoliosickn33/agentic-awesome-skillsSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.OtherNo warnings★ 48.5K↓ —
- 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★ 50.5K↓ —
- wiki-yylosickn33/agentic-awesome-skillsUse YYLO Ledger wiki Records as durable project knowledge. Search before creating, classify information correctly, and make revision-safe Markdown updates without editing Ledger storage directly.WritingNo warnings★ 48.5K↓ —
- warehousesickn33/agentic-awesome-skillsPlan and review read-only data warehouse analysis with explicit scope, privacy, provenance, and validation checks.PlanningNo warnings★ 48.5K↓ —
- waf-setupsickn33/agentic-awesome-skillsDeploy and tune Web Application Firewalls. Configure rules for OWASP Top 10 protection. Use when protecting web applications from common attacks.SecurityNo warnings★ 48.5K↓ —
- dataset-curationwshobson/agentsPrepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.WritingNo warnings★ 41.7K↓ —
- java-junitgithub/awesome-copilotWrite, review and fix Java unit tests with JUnit 5 and JUnit 6 (Jupiter), AssertJ and Mockito: assertions, parameterized and nested tests, mocking rules, deterministic time and randomness, Surefire vs Failsafe, JaCoCo coverage, optional PIT mutation testing, and guardrails for agents (never skip or delete failing tests). Use when adding, refactoring or debugging tests in Maven or Gradle projects. Framework-neutral.TestingNo warnings★ 40.4K↓ —
- breakdown-epic-pmgithub/awesome-copilotPrompt for creating an Epic Product Requirements Document (PRD) for a new epic. This PRD will be used as input for generating a technical architecture specification.PlanningNo warnings★ 40.4K↓ —
- vexor-clisickn33/agentic-awesome-skillsSemantic file discovery via `vexor`. Use whenever locating where something is implemented/loaded/defined in a medium or large repo, or when the file location is unclear. Prefer this over manual browsing.EngineeringNo warnings★ 48.5K↓ —
- ui-updatesickn33/agentic-awesome-skillsUpdate StyleSeed engine in your project — analyzes what's outdated and updates safelyDesignNo warnings★ 48.5K↓ —
- agent-browsershanraisshan/claude-code-best-practiceBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.BrowserNo warnings★ 68K↓ —
- nature-experiment-logYuan1z0825/nature-skills标准化实验日志记录——直接上传或读取本地图片、语音和文字，产出带 YAML frontmatter 的 Markdown；可选集成飞书 CLI 与 Obsidian。EngineeringNo warnings★ 50.5K↓ —
nextflow
K-Dense-AI/scientific-agent-skills
TestingUpdated 6 days ago
From the author
Builds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. Use for Nextflow, nf-core, .nf files, nextflow.config, processes/channels/operators, samplesheets, nf-test, modules/subworkflows, container and executor configuration, HPC/SLURM or cloud deployment, and failed or resumed pipeline runs.
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill nextflow -a claude-code
Installs to .claude/skills/nextflow/ · 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 onlyUses the networkLicence: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 95
Security100
Provenance95
Maintenance100
Licence100
Adoption73
Files (8)
- SKILL.md
- references/configuration.md
- references/containers.md
- references/developing.md
- references/language.md
- references/nf-core-tools.md
- references/running-pipelines.md
- references/testing.md