Tobias Hagemann

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

Systematically investigate bugs and failures using a structured methodology.

Automatically evaluate and respond to GitHub pull request review comments.

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

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

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

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

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.

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

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

Commit already-staged changes with a consistent message style.

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

Commit already-staged changes and push in one step.

Quickly implement code changes without a predefined plan or backlog.

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

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".

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

Draft an implementation plan quickly and efficiently.

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

Detect outdated or vulnerable dependencies across multiple package managers.

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

Iteratively refine planning artifacts until no new findings emerge.

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.

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

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

Draft and post replies to GitHub PR review threads efficiently.

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

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

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.

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

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

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

Defines shared conventions for changelogs to ensure consistency and clarity.

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

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

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

Review agentic coding infrastructure in a project for AI readiness.

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

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

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

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

Automatically generate answers to reviewer questions on pull requests.

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

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

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

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

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

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

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".

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

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 improvement process by validating and implementing changes from your backlog.

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

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

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

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

Decompose specification files into structured shells for implementation.

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".

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

Streamline your post-implementation quality assurance workflow with ease.

Run autonomous tasks using the codex CLI for efficient execution.

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

Upgrade project dependencies while researching breaking changes for major updates.

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

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

Stage specific implementation changes for commit with precise file selection.

Facilitate collaborative discussions to create detailed project specifications.

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

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

Translate complex concepts into plain language for better understanding.