# Tools

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

- Search: append `?q=<keywords>` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README.
- Filter by type: append `?type=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions
- Filter by tag: append `?tag=<tag>` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags

Resources for ML / AI, Tagged `hooks`: 5 items.

> Model training, evaluation and LLM application development.

- [Plugin Dev](https://hebbmind.com/ko/plugin/plugin-dev.md): [Plugin] Toolkit for building Claude Code plugins: 7 skills on plugin structure, hooks, MCP integration, commands, subagents and skill writing, a guided eight-phase create command, and subagents for agent generation, plugin validation and skill review. Maintained by Anthropic.
- [Ruflo](https://hebbmind.com/ko/cli/ruflo.md): [CLI] Multi-agent orchestration framework formerly called Claude Flow: ruflo init gives Claude Code nearly 100 specialized subagents, swarm coordination, cross-session vector memory and hooks; add --codex to configure Codex instead. Also works as a standalone MCP server or plugin marketplace.
- [Oh My Paper](https://hebbmind.com/ko/plugin/oh-my-paper.md): [Plugin] A research plugin for Claude Code: commands like /omp:survey, /omp:experiment and /omp:write chain literature review, topic selection, experiments, writing and self-review, with 5 specialized agents and 34 research skills that remember project progress across sessions. Experiments lean toward ML.
- [phd-skills](https://hebbmind.com/ko/plugin/phd-skills.md): [Plugin] Research guardrails for PhD students: reproduce arXiv papers, debug training anomalies with evidence, compare runs at matched epochs, check paper-code consistency, verify BibTeX, find literature gaps and predict reviewer comments. No MCP or extra dependencies; mostly for ML research.
- [Langfuse Observability Plugin](https://hebbmind.com/ko/plugin/claude-observability-plugin.md): [Plugin] Langfuse's official plugin: uses hooks to send prompts, model calls, token usage and cost, tool calls and subagents from Claude Code sessions to Langfuse as traces for monitoring and review. Needs Langfuse keys (self-hosting supported) and uv or Python 3.10+.