Tobias Hagemann

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

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

Run autonomous tasks using the codex CLI for efficient execution.

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

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

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

Draft an implementation plan quickly and efficiently.

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

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

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

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

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

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

Iteratively refine planning artifacts until no new findings emerge.

Detect outdated or vulnerable dependencies across multiple package managers.

Review agentic coding infrastructure in a project for AI readiness.

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

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

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

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

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

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

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

Defines shared conventions for changelogs to ensure consistency and clarity.

Commit already-staged changes with a consistent message style.

Commit already-staged changes and push in one step.

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

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

Decompose specification files into structured shells for implementation.

Facilitate collaborative discussions to create detailed project specifications.

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

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

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

Translate complex concepts into plain language for better understanding.

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

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

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

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.

Streamline your post-implementation quality assurance workflow with ease.

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

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".

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

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

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

Draft and post replies to GitHub PR review threads efficiently.

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.

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

Automatically generate answers to reviewer questions on pull requests.

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

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

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

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

Quickly implement code changes without a predefined plan or backlog.

Systematically investigate bugs and failures using a structured methodology.

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".

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

Automatically evaluate and respond to GitHub pull request review comments.

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".

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

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

Stage specific implementation changes for commit with precise file selection.

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

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

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

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

Upgrade project dependencies while researching breaking changes for major updates.

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".

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