Tobias Hagemann

Generate comprehensive architecture reports by inspecting various aspects of a codebase.

Analyze task complexity and determine the appropriate execution mode for project planning.

Stage specific implementation changes for commit with precise file selection.

Commit already-staged changes with a consistent message style.

Establishes shared commit message rules and technical constraints for Git operations.

Streamline your pull request reviews with automated fetching and evaluation of comments and code.

Review planning artifacts by running internal and peer reviews in parallel.

Enforce consistency in new code by mirroring existing styles and patterns.

Commit already-staged changes and push in one step.

Consult ChatGPT Pro for complex problem-solving using browser automation.

Draft an implementation plan quickly and efficiently.

Automate the selection and planning of the next shell in your project workflow.

Detect outdated or vulnerable dependencies across multiple package managers.

Analyze and audit dev tooling infrastructure for projects, identifying gaps in essential tools.

Automate code reviews for reuse, quality, efficiency, and clarity, followed by fixes.

Facilitate collaborative discussions to create detailed project specifications.

Fetch and summarize unresolved GitHub PR review comments without making changes.

Identify and analyze dead code in your codebase, focusing on production usage.

Migrate legacy TurboPlan files to the current layout, ensuring proper frontmatter and organization.

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build landing pages, websites, dashboards, web components, or any frontend UI. Generates creative, polished code that avoids generic AI aesthetics.

Capture out-of-scope improvement opportunities to ensure they aren't forgotten.

Run an independent peer review via codex. Use when the user asks to "peer review", "peer review my code", "peer review my plan", "peer review my spec", "peer review my shells", "get a second opinion", or "independent review".

Submit improvements to turbo skills back to the upstream repository efficiently.

Automatically update the Unreleased section of CHANGELOG.md based on current changes.

Upgrade project dependencies while researching breaking changes for major updates.

Generates project-specific skills by scanning codebases for inferred conventions.

Draft and post conversational replies to GitHub PR comments in one go.

Defines shared conventions for changelogs to ensure consistency and clarity.

Create a GitHub pull request with a drafted title and description.

Engage in multi-turn consultations with Codex CLI for collaborative problem-solving.

Automatically generate answers to reviewer questions on pull requests.

Decompose specification files into structured shells for implementation.

Extract lessons from sessions and route them to the appropriate knowledge layer.

Turbo is a modular collection of skills for streamlining the development process with Claude Code.

Conduct thorough exploratory testing to identify bugs and validate application functionality.

Apply code changes based on evaluated findings to improve code quality.

Manually verify that an application works by interacting with it through a smoke test.

Automatically create a CHANGELOG.md with version history from GitHub releases or git tags.

Stage files, create a commit, and push in one step.

Run AI-powered code reviews effortlessly using the codex CLI.

Developer onboarding guide that composes architecture mapping, tooling review, and agentic setup review with setup, troubleshooting, and next-steps agents to produce a comprehensive guide at .turbo/onboarding.md and .turbo/onboarding.html. Use when the user asks to "onboard me", "onboard to this project", "generate onboarding guide", "new developer guide", "how do I get started", or "help me ramp up".

Survey the codebase for existing patterns and reusable utilities without writing code.

Systematically investigate bugs and failures using a structured methodology.

Automatically evaluate and respond to GitHub pull request review comments.

Create or update skills that enhance Claude's capabilities with specialized knowledge and workflows.

Interpret third-party feedback to clarify intent and correctness concerns through parallel analysis.

Perform thorough, multi-level testing to identify bugs and ensure app functionality.

Expand a shell into a comprehensive implementation plan with verification and concrete references.

Translate complex concepts into plain language for better understanding.

Automatically update GitHub pull request titles and descriptions based on branch changes.

Draft and post replies to GitHub PR review threads efficiently.

Review agentic coding infrastructure in a project for AI readiness.

Generate a structured threat model for a codebase, detailing assets, attack surfaces, and risks.

Execute a split plan by creating separate branches, commits, and PRs for each change group.

Quickly implement code changes without a predefined plan or backlog.

Critically assess external feedback and decide which suggestions to apply using adversarial verification.

Easily update installed Turbo skills with dynamic changelog and conflict resolution.

Stage files and create a commit in one step with a consistent message style.

Choose an implementation path for evaluated findings and dispatch it efficiently.

Commit, push, and manage pull requests for staged changes with ease.

Review code for bugs, security vulnerabilities, API misuse, consistency issues, simplicity problems, or test coverage gaps by running internal reviews and a peer review in parallel and returning combined findings. Single-concern with a type argument, or full review with no argument. Use when the user asks to "review my code", "full code review", "review my changes", "check for bugs", "scan for bugs", "review correctness", "security audit", "find vulnerabilities", "review security", "check API usage", "verify against docs", "check for cross-file duplication", "review consistency", "check for code reuse", "review simplicity", "find untested code", or "review test coverage".

Project-wide health audit pipeline that fans out to all analysis skills in parallel, evaluates findings, and produces a unified report at .turbo/audit.md. Use when the user asks to "audit the project", "run a full audit", "project health check", "audit my code", "codebase audit", or "comprehensive review".

Run autonomous tasks using the codex CLI for efficient execution.

Execute implementation plans efficiently by loading task-specific skills and managing execution steps.

Streamline your post-implementation quality assurance workflow with ease.

Streamline your improvement process by validating and implementing changes from your backlog.

Establishes writing style rules for GitHub outputs, differentiating between insider and outsider voices.

Recall the reasoning behind past code changes by locating relevant transcripts.

Fetch and rank open GitHub issues by community engagement to prioritize your work.

Automate the process of polishing code through staging, formatting, linting, testing, and reviewing until stable.

Iteratively refine planning artifacts until no new findings emerge.

Generate structured test plans based on code changes to ensure comprehensive testing coverage.