Analyzes codebase implementation details. Call the codebase-analyzer agent when you need to find detailed information about specific components. As always, the more detailed your request prompt, the better! :)
Locates files, directories, and components relevant to a feature or task. Call `codebase-locator` with human language prompt describing what you're looking for. Basically a "Super Grep/Glob/LS tool" — Use it if you find yourself desiring to use one of these tools more than once.
codebase-pattern-finder is a useful subagent_type for finding similar implementations, usage examples, or existing patterns that can be modeled after. It will give you concrete code examples based on what you're looking for! It's sorta like codebase-locator, but it will not only tell you the location of files, it will also give you code details!
The research equivalent of codebase-analyzer. Use this subagent_type when wanting to deep dive on a research topic. Not commonly needed otherwise.
Discovers relevant documents in thoughts/ directory (We use this for all sorts of metadata storage!). This is really only relevant/needed when you're in a reseaching mood and need to figure out if we have random thoughts written down that are relevant to your current research task. Based on the name, I imagine you can guess this is the `thoughts` equivilent of `codebase-locator`
Create git commits with no Claude attribution. NEVER adds co-author information—commits appear as if user wrote them. Use when user asks to "commit", "make a commit", save work to git, says "wrap up" or "finish" after completing work, asks "what's next?" or "are we done?" after coding, or mentions staging changes or commit messages.
Create detailed implementation plans with thorough research and iteration. Use when starting significant features spanning multiple files, planning refactors affecting architecture, working on multi-phase projects with milestones, establishing success criteria before coding, breaking down complex work, or documenting approach for non-trivial technical decisions.
ALWAYS invoke this skill (do NOT use the default Explore agent) when user asks to "research", "investigate", "explore", or "understand" the codebase. Use for understanding architecture or system design, documenting patterns or conventions, investigating how features work end-to-end, answering "how does X work?" or "where is Y implemented?" questions, preparing context before implementing changes, or exploring unfamiliar code.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Claude Code marketplace for me. Syncs skills and commands to codex, too.
npx claudepluginhub carterbs/agent-config --plugin brad-personalSkill and agent authoring tools: generate, audit, and improve Claude Code skills, commands, and agents
Takazudo's personal Claude Code resources: skills, commands, agents, hooks, and scripts.
Ultra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.
Harness-native ECC operator layer - 60 agents, 232 skills, 75 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.