# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

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Resources for Frontend or ML / AI or Data analysis, Tagged `git`: 7 items.

> - Frontend: Web and mobile-web interfaces: building, debugging and performance tuning.
> - ML / AI: Model training, evaluation and LLM application development.
> - Data analysis: Querying, statistical analysis, reporting and visualization.

- [Using Git Worktrees](https://hebbmind.com/skill/using-git-worktrees.md): [Skill] Sets up an isolated workspace before feature work: uses the agent's built-in worktree tool when available, otherwise falls back to git worktree, then installs dependencies and runs baseline tests to confirm a clean start. From Superpowers.
- [Requesting Code Review](https://hebbmind.com/skill/requesting-code-review.md): [Skill] 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.
- [mcp-server-git](https://hebbmind.com/mcp/git.md): [MCP] Official MCP reference server for local Git repos: view status and diffs, stage and commit, create and switch branches, and search the commit log by date. Written in Python and runs with uvx; still in early development.
- [Aider](https://hebbmind.com/cli/aider.md): [CLI] AI pair programming in your terminal: builds a repo map of the whole codebase, auto-commits changes to git, works with Claude, DeepSeek, OpenAI and almost any other model including local ones, and can run lint and tests after edits.
- [Open Code Review](https://hebbmind.com/skill/open-code-review.md): [Skill] 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.
- [DVC](https://hebbmind.com/cli/dvc.md): [CLI] Version datasets and models the way Git versions code: data lives in remote storage like S3 or GCS while versions are tracked in your Git repo. Also offers reproducible pipelines and local experiment tracking, rerunning only the steps affected by a change.
- [Worktrunk](https://hebbmind.com/cli/worktrunk.md): [CLI] Git worktree manager (wt) built for running multiple AI agents in parallel: create, switch and clean up worktrees by branch name, and spin up a worktree and launch Claude in one command. Supports hooks, LLM-generated commit messages and one-step merges.
