find-skills
The find-skills Claude Code item helps users discover and install agent skills from the open ecosystem when they ask about capabilities like "how do I do X" or "is there a skill for X". It guides users through checking the skills.sh leaderboard for popular solutions, running interactive searches with the Skills CLI (`npx skills find`), and verifying skill quality before recommendation based on install counts and community validation.
git clone --depth 1 https://github.com/syahiidkamil/Software-Engineer-AI-Agent-Atlas /tmp/find-skills && cp -r /tmp/find-skills/.claude/skills/find-skills ~/.claude/skills/find-skillsSKILL.md
# Find Skills This skill helps you discover and install skills from the open agent skills ecosystem. ## When to Use This Skill Use this skill when the user: - Asks "how do I do X" where X might be a common task with an existing skill - Says "find a skill for X" or "is there a skill for X" - Asks "can you do X" where X is a specialized capability - Expresses interest in extending agent capabilities - Wants to search for tools, templates, or workflows - Mentions they wish they had help with a specific domain (design, testing, deployment, etc.) ## What is the Skills CLI? The Skills CLI (`npx skills`) is the package manager for the open agent skills ecosystem. Skills are modular packages that extend agent capabilities with specialized knowledge, workflows, and tools. **Key commands:** - `npx skills find [query]` - Search for skills interactively or by keyword - `npx skills add <package>` - Install a skill from GitHub or other sources - `npx skills check` - Check for skill updates - `npx skills update` - Update all installed skills **Browse skills at:** https://skills.sh/ ## How to Help Users Find Skills ### Step 1: Understand What They Need When a user asks for help with something, identify: 1. The domain (e.g., React, testing, design, deployment) 2. The specific task (e.g., writing tests, creating animations, reviewing PRs) 3. Whether this is a common enough task that a skill likely exists ### Step 2: Check the Leaderboard First Before running a CLI search, check the [skills.sh leaderboard](https://skills.sh/) to see if a well-known skill already exists for the domain. The leaderboard ranks skills by total installs, surfacing the most popular and battle-tested options. For example, top skills for web development include: - `vercel-labs/agent-skills` — React, Next.js, web design (100K+ installs each) - `anthropics/skills` — Frontend design, document processing (100K+ installs) ### Step 3: Search for Skills If the leaderboard doesn't cover the user's need, run the find command: ```bash npx skills find [query] ``` For example: - User asks "how do I make my React app faster?" → `npx skills find react performance` - User asks "can you help me with PR reviews?" → `npx skills find pr review` - User asks "I need to create a changelog" → `npx skills find changelog` ### Step 4: Verify Quality Before Recommending **Do not recommend a skill based solely on search results.** Always verify: 1. **Install count** — Prefer skills with 1K+ installs. Be cautious with anything under 100. 2. **Source reputation** — Official sources (`vercel-labs`, `anthropics`, `microsoft`) are more trustworthy than unknown authors. 3. **GitHub stars** — Check the source repository. A skill from a repo with <100 stars should be treated with skepticism. ### Step 5: Present Options to the User When you find relevant skills, present them to the user with: 1. The skill name and what it does 2. The install count and source 3. The install command they can run 4. A link to learn more at skills.sh Example response: ``` I found a skill that might help! The "react-best-practices" skill provides React and Next.js performance optimization guidelines from Vercel Engineering. (185K installs) To install it: npx skills add vercel-labs/agent-skills@react-best-practices Learn more: https://skills.sh/vercel-labs/agent-skills/react-best-practices ``` ### Step 6: Offer to Install If the user wants to proceed, you can install the skill for them: ```bash npx skills add <owner/repo@skill> -g -y ``` The `-g` flag installs globally (user-level) and `-y` skips confirmation prompts. ## Common Skill Categories When searching, consider these common categories: | Category | Example Queries | | --------------- | ---------------------------------------- | | Web Development | react, nextjs, typescript, css, tailwind | | Testing | testing, jest, playwright, e2e | | DevOps | deploy, docker, kubernetes, ci-cd | | Documentation | docs, readme, changelog, api-docs | | Code Quality | review, lint, refactor, best-practices | | Design | ui, ux, design-system, accessibility | | Productivity | workflow, automation, git | ## Tips for Effective Searches 1. **Use specific keywords**: "react testing" is better than just "testing" 2. **Try alternative terms**: If "deploy" doesn't work, try "deployment" or "ci-cd" 3. **Check popular sources**: Many skills come from `vercel-labs/agent-skills` or `ComposioHQ/awesome-claude-skills` ## When No Skills Are Found If no relevant skills exist: 1. Acknowledge that no existing skill was found 2. Offer to help with the task directly using your general capabilities 3. Suggest the user could create their own skill with `npx skills init` Example: ``` I searched for skills related to "xyz" but didn't find any matches. I can still help you with this task directly! Would you like me to proceed? If this is something you do often, you could create your own skill: npx skills init my-xyz-skill ```
Designs feature architectures by analyzing existing codebase patterns and conventions, then providing comprehensive implementation blueprints with specific files to create/modify, component designs, data flows, and build sequences
Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies to inform new development
Code review a pull request
Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Focuses on recently modified code unless instructed otherwise.
Commit what is already staged — runs the commit subagent in the background, following the ATLAS commit convention.
Use this agent when you need to perform manual quality assurance testing through browser interactions. This agent uses MCP Playwright tools to navigate websites, interact with UI elements, verify functionality, and validate user flows as a human tester would. Perfect for testing new features, regression testing, validating bug fixes, or exploring application behavior. Examples:\n\n<example>\nContext: The user has just implemented a new login feature and wants to test it.\nuser: "I've added a new login form, can you test if it works correctly?"\nassistant: "I'll use the qa-manual-tester agent to test the login functionality through the browser."\n<commentary>\nSince the user needs manual testing of a new feature, use the Task tool to launch the qa-manual-tester agent to interact with the browser and verify the login flow.\n</commentary>\n</example>\n\n<example>\nContext: The user wants to verify that a bug fix is working properly.\nuser: "I fixed the issue where the submit button wasn't working on mobile view. Can you verify?"\nassistant: "Let me launch the qa-manual-tester agent to verify the submit button works correctly in mobile view."\n<commentary>\nThe user needs manual verification of a bug fix, so use the qa-manual-tester agent to test the specific functionality through browser interaction.\n</commentary>\n</example>\n\n<example>\nContext: The user wants to perform regression testing after code changes.\nuser: "I've refactored the checkout flow. Please test that everything still works."\nassistant: "I'll use the qa-manual-tester agent to perform comprehensive testing of the checkout flow."\n<commentary>\nSince the user needs regression testing after refactoring, use the qa-manual-tester agent to manually test the entire checkout flow.\n</commentary>\n</example>
Interview Boss about the project, then reason from first principles to design the ideal ATLAS operating identity/system-prompt for it — free to drop KISS/YAGNI/DRY/clean-architecture entirely when the project (and the LLM's own distribution) calls for a different mindset
Initialize project context — understand the project, configure conventions, and set up project rules