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.
47,298 skills from 2,272 repositories · updated 21 minutes ago
47,298 skills
- golden-html-multiyusufkaraaslan/Skill_SeekersUse when testing the multi-file html buildTestingNo warnings★ 15.2K↓ —
- golden-chat-emptyyusufkaraaslan/Skill_SeekersUse when testing the golden_chat_empty golden buildTestingNo warnings★ 15.2K↓ —
- expo-design-systemexpo/skillsBuild and maintain a design system inside an Expo app - a reusable theme of design tokens (color, spacing, typography, radius, shadow, motion), reusable component structure with variant/size/state prop conventions, and rules for when to extract a repeated view into a shared component. Use when creating or organizing theme files and design tokens (theme.ts / theme/), extending an existing theme or styling library (NativeWind, Tamagui, Restyle, Unistyles) in its own idiom, standardizing styles so screens (including AI-generated ones) look consistent and polished, fixing an app that looks AI-generated or generic instead of native (the named native-slop tells), building an in-app component library, or auditing an app for design-system drift (hardcoded colors, spacing, fonts). For platform styling specifics (semantic colors, HIG rules, native controls) use expo-native-ui; for folder layout of a new app use expo-project-structure.OfficialDesignNo warnings★ 3.4K↓ —
- ara-compilerOrchestra-Research/AI-Research-SKILLsCompiles any research input — PDF papers, GitHub repositories, experiment logs, code directories, or raw notes — into a complete Agent-Native Research Artifact (ARA) with cognitive layer (claims, concepts, heuristics), physical layer (configs, code stubs), exploration graph, and grounded evidence. Use when ingesting a paper or codebase into a structured, machine-executable knowledge package, building an ARA from scratch, or converting research outputs into a falsifiable, agent-traversable form.DocumentsNo warnings★ 14K↓ —
- llavaOrchestra-Research/AI-Research-SKILLsLarge Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.MediaNo warnings★ 14K↓ —
- golden-pptx-kwyusufkaraaslan/Skill_SeekersUse when testing keyword categorizationDocumentsNo warnings★ 15.2K↓ —
- golden-jupyteryusufkaraaslan/Skill_SeekersUse when testing the golden_jupyter golden buildTestingNo warnings★ 15.2K↓ —
- paper-claim-auditwanshuiyin/Auto-claude-code-research-in-sleepZero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh Codex reviewer with no prior context; base output is same-family provisional. Use when user says "审查论文数据", "check paper claims", "verify numbers", "论文数字核对", or before submission to ensure paper-to-evidence fidelity.ScienceNo warnings★ 18.2K↓ —
- proof-orchestratorwanshuiyin/Auto-claude-code-research-in-sleepManage a stateful, run-directory-based proof project with Codex: continuation across runs, run-local source bookkeeping, manual GPT Pro handoff packages when a local attempt stalls, and an optional DeepSeek second opinion as additional evidence only. Use when the user asks for proof-run orchestration, a GPT Pro handoff, or cross-run proof continuation — use /proof-writer for ordinary proof drafting and /proof-checker for rigorous verification or submission acceptance.WritingNo warnings★ 18.2K↓ —
- golden-epub-kwyusufkaraaslan/Skill_SeekersUse when testing keyword categorizationTestingNo warnings★ 15.2K↓ —
- code-mate-github-copilotCherryHQ/cherry-studioRun GitHub Copilot CLI non-interactively for coding tasks. Use when the user asks to delegate work to Copilot.EngineeringNo warnings★ 53K↓ —
- developing-openrigmvschwarz/openrigUse when changing OpenRig's own source in a clone of the openrig repository: finding which package or file owns a behaviour, choosing which tests to run, testing a change without disturbing the OpenRig daemon your own session runs on, judging whether a diff touches a high-risk area, or preparing a pull request. Not for operating rigs (openrig-skills) or designing rig topologies.TestingNo warnings★ 8.3K↓ —Also in 1 other repo
- test-driven-developmentmvschwarz/openrigUse when implementing any feature or bugfix, before writing implementation codeTestingNo warnings★ 8.3K↓ —Also in 1 other repo
- rigsmvschwarz/openrigUse when a person in their own Claude Code or Codex session mentions OpenRig, rigs or the rig command, or wants a team of coding agents (Claude Code, Codex) on their project. That includes installing, setting up, starting or updating OpenRig, seeing, getting back to or re-attaching to their OpenRig agents (including bringing a stopped team back), TUI or operator, starting or sharing a team, and joining this session to one. Operating a running rig from inside it (fleet recovery, seat handover, watchdog wakes, in-rig upgrades) is the openrig-skills skill.EngineeringNo warnings★ 8.3K↓ —Also in 1 other repo
- branch-prGentleman-Programming/gentle-aiCreate Gentle AI pull requests with issue-first checks. Trigger: creating, opening, or preparing PRs for review.EngineeringNo warnings★ 8.1K↓ —
- work-unit-commitsGentleman-Programming/gentle-aiPlan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.TestingNo warnings★ 8.1K↓ —
- agents-mdgetsentry/skillsCreates and maintains concise AGENTS.md and CLAUDE.md project instruction files. Use when asked to create AGENTS.md, update AGENTS.md, maintain agent docs, set up CLAUDE.md, document repository agent conventions, or keep coding-agent instructions minimal and reference-backed.OfficialEngineeringNo warnings★ 1.1K↓ —
- hermes-ephemeral-delegationGentleman-Programming/gentle-aiTrigger: a mapping need, parallel units, context backstop, high-risk verify, fresh review, or multi-step debug. Delegate via delegate_task for a named reason.EngineeringNo warnings★ 8.1K↓ —
- skill-improverGentleman-Programming/gentle-aiTrigger: improve skills, audit skills, refactor skills, skill quality. Audit and upgrade existing LLM-first skills.EngineeringNo warnings★ 8.1K↓ —
- security-reviewerJeffallan/claude-skillsIdentifies security vulnerabilities, generates structured audit reports with severity ratings, and provides actionable remediation guidance. Use when conducting security audits, reviewing code for vulnerabilities, or analyzing infrastructure security. Invoke for SAST scans, penetration testing, DevSecOps practices, cloud security reviews, dependency audits, secrets scanning, or compliance checks. Produces vulnerability reports, prioritized recommendations, and compliance checklists.SecurityNo warnings★ 12.1K↓ —
- issue-creationGentleman-Programming/gentle-aiTrigger: issue creation, bug reports, feature requests, or issue approval. Create and triage GitHub issues from repository evidence.OtherNo warnings★ 8.1K↓ —
- work-unit-commitsGentleman-Programming/gentle-aiPlan commits as reviewable work units. Trigger: implementation, commit splitting, chained PRs, or keeping tests and docs with code.TestingNo warnings★ 8.1K↓ —
- cognitive-doc-designGentleman-Programming/gentle-aiDesign docs that reduce cognitive load. Trigger: writing guides, READMEs, RFCs, onboarding, architecture, or review-facing docs.DesignNo warnings★ 8.1K↓ —Also in 1 other repo
- monitoring-expertJeffallan/claude-skillsConfigures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing. Implements Prometheus/Grafana stacks, conducts load testing, performs application profiling, and plans infrastructure capacity. Use when setting up application monitoring, adding observability to services, debugging production issues with logs/metrics/traces, running load tests with k6 or Artillery, profiling CPU/memory bottlenecks, or forecasting capacity needs.TestingNo warnings★ 12.1K↓ —
cherry-browser
CherryHQ/cherry-studio
BrowserUpdated 5 hours ago
From the author
Control the user's visible Agent browser: navigate, click, type, screenshot, debug. Needs the Browser setting.
Install
npx skills add CherryHQ/cherry-studio --skill cherry-browser -a claude-code
Installs to .claude/skills/cherry-browser/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (AGPL-3.0) does not let us redistribute its files. The install commands fetch them from GitHub instead.
What it can touch
Instructions onlyNo network use seenLicence: AGPL-3.0
Safety checks on SKILL.md
No warnings.
Why 93
Security100
Provenance95
Maintenance100
Licence80
Adoption73
Files (2)
- SKILL.md
- references/api.md