codereview-architect
Deep codebase context analysis like Greptile. Analyzes blast radius of changes, dependency graphs, and architectural consistency. Use when reviewing changes to core utilities, shared libraries, or database mode...
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Deep codebase context analysis like Greptile. Analyzes blast radius of changes, dependency graphs, and architectural consistency. Use when reviewing changes to core utilities, shared libraries, or database mode...
Zero-trust security analysis like Cursor BugBot. Focuses exclusively on finding exploitable vulnerabilities with high confidence (>95%). Use when reviewing files that handle input parsing, database queries, aut...
Review test coverage and quality. Analyzes unit tests, integration tests, determinism, and test design. Use when reviewing test files or code that should have tests.
Review database operations, migrations, and data persistence. Analyzes query safety, migration rollback, transaction boundaries, and data integrity. Use when reviewing migrations, models, repositories, or datab...
Review logging, metrics, tracing, and alerting. Ensures systems are observable, debuggable, and operable. Use when reviewing code that adds logging, metrics, or monitoring.
Triage and orchestrate code reviews. Analyzes PR intent, identifies touched surfaces, assesses risk, and routes to specialist skills. Does NOT perform detailed review - delegates to specialists. Supports full p...
Retrieve code diff from a local git commit. Use this as the first step in a code review pipeline when reviewing local commits.
Analyze code for logic bugs, error handling issues, and edge cases. Detects off-by-one errors, null handling, race conditions, and incorrect error paths. Use when reviewing core business logic or complex algori...
Submit a code review to GitHub via the GitHub API. Use this as the final step in a code review pipeline to post review findings to a PR.
Review distributed systems patterns, concurrency, and resilience. Analyzes retry policies, idempotency, timeouts, circuit breakers, and race conditions. Use when reviewing async code, workers, queues, or distri...
Perform thorough code reviews following Google's 5-step methodology. Use when reviewing pull requests, change lists, or any code changes to ensure quality, correctness, and maintainability.
Review API contracts, breaking changes, and interface consistency. Analyzes REST/RPC endpoints, event schemas, versioning, and backward compatibility. Use when reviewing public interfaces, API routes, or servic...
Review code style, maintainability, and documentation. Checks readability, naming, modularity, abstractions, and documentation accuracy. Use as a final pass on all files.
Proactively use when brainstorming potential solutions to difficult problems.
Proactively use this skill when you need to read, create, update, or manage Jira tickets.
Proactively use to generate or update a CHANGELOG.md file from Jujutsu commit history. Use when you need to create release notes, document changes between tags, or update the project changelog. Emphasizes break...
Use this still to write reports.
Proactively use when making a plan, e.g. the user says "Let's make a plan".
Proactively use this skill when implementing a Jira ticket.
Retrieve project-specific insights from file-based memory. Use when working on features, encountering domain-specific questions, or user says "--project-recall" or "--recall" (you decide which scope, may use bo...
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automa...
This skill should be used when users want to build LLM-powered applications using LangChain. It provides patterns for initializing any LLM provider (OpenAI, Anthropic, Google, xAI), building agent loops with to...
This skill should be used when users want to create a multi-agent tmux team for their project. It provides battle-tested templates for setting up autonomous AI agent teams that collaborate via tmux. Use this sk...
Multi-agent debate with 3-phase workflow. Optional --deep mode for feedback loop.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.