Herramientas

A complete development methodology for coding agents: brainstorm to clarify requirements, write an implementation plan, then build with subagents, with red-green TDD, systematic debugging and code review throughout. In the official Claude Code and Codex marketplaces.

A full development methodology for coding agents: brainstorm a design, break it into an implementation plan, dispatch subagents to build and review each task, with mandatory TDD and systematic debugging. Installed as a plugin, it injects its bootstrap automatically.

Matt Pocock's engineering skills: /grill-me interrogates requirements to align on intent, then a spec-and-ticket flow, TDD, code review and domain modeling. Small, composable skills, listed in the official Claude Code plugin marketplace.

Matt Pocock's engineering skills: grill-me interrogates you to align on requirements, to-spec turns discussion into a spec, to-tickets breaks it into tickets, plus tdd, diagnosing-bugs, code-review and more. Run setup-matt-pocock-skills once per repo first.

Anthropic's terminal coding agent: understands your codebase, edits code, runs commands and handles git workflows, with plugins, MCP and a headless mode (claude -p). Sign in with a Claude account or set an API key.

Reviews pull requests with several parallel subagents, scores each finding by confidence to filter out false positives, and can post the results as PR comments. Official Anthropic plugin; requires a logged-in GitHub CLI.

GitHub's official CLI: manage pull requests, issues, releases and Actions workflows from the terminal. Most commands support --json output that agents can parse, and an official agent skill is available. Run gh auth login first.

GitHub's official MCP server: lets agents read and write repositories and code, manage issues and pull requests, and check Actions workflows and code-scanning alerts. Use the hosted remote server or run it locally in Docker; needs a personal access token or OAuth.

Before finishing a task or merging, dispatches an independent reviewer subagent over a git commit range to check the work against the plan and requirements, then handles feedback by severity: critical, important, minor. Part of obra/superpowers.

Has the agent follow a 'don't write it if you can avoid it' ladder: ask if it's needed, then reuse existing code, the standard library, platform features and installed dependencies, writing only the minimum while keeping validation, error handling, security and accessibility.

A seven-phase feature development workflow: clarify requirements, explore the codebase with parallel subagents, design the architecture, implement, then run a quality review. Start it with /feature-dev. Official Anthropic plugin.

Six specialized review subagents that check comment accuracy, test coverage, silent failures, type design, code style and simplification opportunities. Run them individually or all at once. Official Anthropic plugin.

Engineering skill collection spanning define, plan, build, verify, review and ship, with /spec, /plan, /build, /test, /review and /ship commands, including TDD, code review and web performance audits. By Addy Osmani.

Addy Osmani's production-grade engineering skill pack covering spec, planning, implementation, testing, review and shipping, with commands like /spec, /plan, /build, /test, /review and /ship. Supports both Claude Code and Codex.

Reviews code changes before merge across five axes: correctness, readability, architecture, security and performance. Works on code and PRs from you, other agents or other people, judged by whether they improve overall code health. Part of Addy Osmani's agent-skills.

Alibaba's open-source AI code review CLI (ocr): a deterministic pass filters and groups files and matches rules, then an agent reads the context and writes line-level comments; ocr scan reviews a whole directory. Needs an LLM endpoint, or delegate mode to hand off to your coding agent.

Drives Alibaba's open-source ocr CLI to review Git changes (working tree, a commit or a branch diff), grouping line-level comments by severity and fixing them on request. Needs an LLM endpoint (Anthropic, OpenAI and other protocols); installs the CLI if missing. By Alibaba.

Alibaba's open-source AI code review tool: reads the Git diff, groups changed files for parallel review by subagents and returns line-level comments; the plugin adds review and delegated review commands. Install the ocr CLI and configure a model first; delegated mode needs no API key.

Design engineering skills by Emil Kowalski, author of Sonner and Vaul: choose animation easing and durations, review and improve motion, apply Apple design principles, make web apps feel native on phones, and help pick UI libraries and prototype multiple versions.

Multi-host plugin marketplace with 90+ single-purpose plugins, 200+ subagents and 180+ skills covering language-specific development, ops, security, data and multi-agent orchestration. Installing a plugin loads only that plugin's content.

Orchestrates multi-agent teams using Claude Code's experimental Agent Teams feature: parallel multi-angle code review, competing-hypothesis debugging and feature work split by file ownership. Enable CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS first.

Simplifies and tidies recently changed code without changing behavior: reduces nesting and redundancy, improves naming and follows the project conventions in CLAUDE.md. Official Anthropic plugin.

Three layers of security checks on agent-written code: rule-based warnings on about 25 risky patterns during edits, a model review of the diff at turn end, and an agent tracing cross-file bugs like IDOR and SSRF at commit. Official Anthropic plugin; needs Python 3.8+ and model API access.

Connects GitHub's official remote MCP server to manage issues and PRs, review code, search repos and call the GitHub API from Claude Code. Requires GITHUB_PERSONAL_ACCESS_TOKEN.