# Tools

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Tagged `agent-development`: 42 items.

- [Ollama](https://hebbmind.com/fr/cli/ollama.md): [CLI] Download and run open models such as Gemma locally with one command. Provides a REST API and Python/JS libraries, and ollama launch can point Claude Code, Codex and other agents at local models.
- [Skill Creator](https://hebbmind.com/fr/skill/skill-creator.md): [Skill] Guides the agent through writing or improving a skill: clarify intent, draft SKILL.md, run scored evals with and without the skill, then tune the description so it triggers accurately. Official Anthropic skill.
- [Browser Use](https://hebbmind.com/fr/cli/browser-use.md): [CLI] Open-source browser agent project. Its browser-use CLI lets Claude Code, Codex and other agents drive your logged-in local Chrome with Python snippets, or connect to a cloud browser; also ships a Python agent library. The cloud browser needs an API key.
- [Claude API](https://hebbmind.com/fr/skill/claude-api.md): [Skill] Reference for the Claude API and Anthropic SDK: model selection and pricing, streaming, tool use, prompt caching, Managed Agents and more, plus workflows for model migration and prompt audits. Official Anthropic skill.
- [MCP Builder](https://hebbmind.com/fr/skill/mcp-builder.md): [Skill] Guides agents in building quality MCP servers: research the protocol and target API, design tools, implement with Python (FastMCP) or the TypeScript SDK, and write evaluation questions to test the result. Official Anthropic skill.
- [Agent SDK Dev](https://hebbmind.com/fr/plugin/agent-sdk-dev.md): [Plugin] Scaffolds a Claude Agent SDK project in Python or TypeScript interactively with /new-sdk-app, then a verifier agent checks dependencies, config and code against official best practices. Maintained by Anthropic.
- [Plugin Dev](https://hebbmind.com/fr/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.
- [Pi Coding Agent](https://hebbmind.com/fr/cli/coding-agent.md): [CLI] Minimal, extensible terminal AI agent that can write its own prompt templates, skills, extensions and themes. Offers print, JSON and RPC modes for scripting, plus a TypeScript SDK. Needs Node.js 22.19+.
- [Ruflo](https://hebbmind.com/fr/plugin/ruflo.md): [Plugin] Multi-agent orchestration framework for Claude Code and Codex, formerly Claude Flow: swarm coordination, self-learning memory and cross-machine federated communication. The marketplace offers 30+ plugins; full features need npx ruflo init.
- [Ruflo](https://hebbmind.com/fr/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.
- [goose](https://hebbmind.com/fr/cli/goose.md): [CLI] General-purpose AI agent that runs on your machine, with a desktop app, CLI and API. Written in Rust, works with 15+ model providers and connects to 70+ extensions via MCP. Originally from Block, now part of the Linux Foundation's AAIF.
- [CLI-Anything](https://hebbmind.com/fr/cli/cli-anything.md): [CLI] From HKU's Data Intelligence Lab: plugins or skills for Claude Code, Codex and other agents generate agent-callable CLIs for apps like GIMP, Blender and LibreOffice, and the cli-hub package manager finds and installs ready-made community CLIs. Needs Python 3.10+.
- [LLM Application Dev](https://hebbmind.com/fr/plugin/llm-application-dev.md): [Plugin] Plugin for building LLM apps: LangGraph agents with memory and tool use, hybrid-search RAG, vector index tuning, prompt optimization and LLM evaluation. Includes 3 subagents and 8 skills.
- [MCP Server Dev](https://hebbmind.com/fr/plugin/mcp-server-dev.md): [Plugin] Designs and builds MCP servers: first picks a deployment model among remote HTTP, MCPB bundles and local stdio, then guides tool design, auth and in-chat interactive components. Maintained by Anthropic.
- [Awesome GitHub Copilot](https://hebbmind.com/fr/skill/awesome-copilot.md): [Skill] Community collection maintained under GitHub's official org with hundreds of skills following the Agent Skills spec, plus custom agents, instructions and plugins across many languages, frameworks and workflows. Content is third-party; install single skills with gh skills install.
- [Skill Creator](https://hebbmind.com/fr/plugin/skill-creator.md): [Plugin] Creates or improves Agent Skills from scratch: writes eval cases to test them, runs benchmarks with variance analysis, and tunes descriptions for more accurate triggering. Maintained by Anthropic.
- [Agent TARS CLI](https://hebbmind.com/fr/cli/ui-tars-desktop.md): [CLI] ByteDance's open-source multimodal agent CLI: operates browsers via vision or the DOM and calls terminal, file and MCP tools to complete tasks, with a Web UI and headless server mode. Needs Node.js 22+ and a model API key.
- [Task Master](https://hebbmind.com/fr/cli/claude-task-master.md): [CLI] Parses a PRD into a dependency-aware task list so Claude Code, Cursor and other agents pick up the next task in order, split subtasks and update progress. Offers both a CLI and an MCP server. Needs at least one model API key, or reuse a Claude Code or Codex login.
- [n8n-MCP](https://hebbmind.com/fr/mcp/n8n-mcp.md): [MCP] Lets agents look up docs, properties and workflow templates for n8n's 2,000+ nodes and build and validate workflows; with an n8n API key configured it can create and update workflows in your instance directly.
- [Browser Harness](https://hebbmind.com/fr/cli/browser-harness.md): [CLI] Browser control from the browser-use team: an editable CDP connection lets agents drive the Chrome you are already using, writing missing helper functions as they go and keeping them for reuse. Also offers an MCP server. Allow remote debugging in Chrome on first use.
- [Agent Skills for Context Engineering](https://hebbmind.com/fr/skill/agent-skills-for-context-engineering.md): [Skill] Context and harness engineering skills: context fundamentals, degradation diagnosis and compression, multi-agent architectures, memory systems, tool design, LLM-as-judge evaluation and self-improvement loops. Focused on principles and design patterns, not tied to any agent platform.
- [Agent Skills for Context Engineering](https://hebbmind.com/fr/plugin/agent-skills-for-context-engineering.md): [Plugin] Context and harness engineering skills covering context compression and optimization, multi-agent architectures, memory systems, tool design and LLM-as-judge evaluation, activated automatically by task. Aimed at building production-grade agent systems.
- [Trae Agent](https://hebbmind.com/fr/cli/trae-agent.md): [CLI] ByteDance's open-source, general software engineering agent: trae-cli edits files and runs commands from natural language, supports multiple model providers and MCP, and records full execution trajectories. Transparent design suits agent research and customization. Needs your own model API key.
- [MCP Inspector](https://hebbmind.com/fr/cli/inspector.md): [CLI] The official MCP debugging tool: connect to any MCP server through a web UI, CLI or terminal UI to list and call its tools, resources and prompts. CLI mode outputs JSON, suited to scripts and CI smoke tests.
- [Harness](https://hebbmind.com/fr/plugin/harness.md): [Plugin] Say build a harness for this project and it designs a domain-specific agent team, generating subagent definitions, companion skills and orchestration, validates them and keeps evolving them from feedback. Supports workflow orchestration, persistent agent teams and subagent delegation.
- [Build ChatGPT App](https://hebbmind.com/fr/skill/chatgpt-apps.md): [Skill] Builds, refactors and debugs ChatGPT apps with the OpenAI Apps SDK: plans tools, scaffolds the MCP server and UI widgets, and checks the work against official docs. Maintained by OpenAI; formerly chatgpt-apps in openai/skills.
- [OpenAI Developers](https://hebbmind.com/fr/plugin/openai-developers.md): [Plugin] Build with OpenAI best practices inside Codex: call the OpenAI API, build and deploy agents with the Agents SDK, create ChatGPT apps and prepare submission materials, and create API keys directly. Maintained by OpenAI; Codex only.
- [Google Agents CLI Skills](https://hebbmind.com/fr/skill/google-skills.md): [Skill] Google's official skills for building ADK agents: dev workflow, scaffolding, the ADK Python API, evaluation with LLM judges and adaptive rubrics, deployment to Agent Runtime, Cloud Run or GKE, publishing and observability. Works with agents-cli; local dev needs only an AI Studio key.
- [GitHub Agentic Workflows](https://hebbmind.com/fr/cli/gh-aw.md): [CLI] GitHub's official gh extension for writing Actions workflows in Markdown that AI agents execute, compiled into standard Actions. Choose engines like Copilot, Claude Code or Codex; runs in a read-only sandbox by default. Requires gh.
- [Build Iterated Agentic Loop](https://hebbmind.com/fr/skill/build-iterated-agentic-loop.md): [Skill] Turns a repeatable agent task into a repo-local skill plus a GitHub Actions workflow that runs a coding agent (Claude Code, Codex, OpenCode or CodeLayer) on a schedule, with a prompt, memory file and one-open-PR bound. Reads the repo first, then walks you through cadence, scope and validation.
- [Design Control Loop](https://hebbmind.com/fr/skill/design-control-loop.md): [Skill] Interviews you to design an agentic control loop for your codebase in control-theory terms: a set point, a sensor built from existing tooling, a controller that picks small low-risk changes, and a coding agent that opens PRs. Builds each part to run locally before wiring a scheduled CI workflow.
- [MCPorter](https://hebbmind.com/fr/cli/mcporter.md): [CLI] CLI and TypeScript runtime for discovering and calling MCP servers from the terminal and scripts: list tool signatures and call tools directly, or generate a standalone CLI or typed client from a server. Auto-imports existing MCP configs from Claude Code, Codex and others.
- [Gemini API Dev](https://hebbmind.com/fr/skill/gemini-api-dev.md): [Skill] Teaches agents to code against the latest Gemini API and Python/TypeScript SDKs: multi-turn chat, function calling, structured output, and image and speech generation, while avoiding deprecated older models. Maintained by Google's Gemini team.
- [Gemini Skills](https://hebbmind.com/fr/skill/gemini-skills.md): [Skill] Gemini API development skills: gemini-api-dev (core API and SDKs), gemini-live-api-dev (real-time bidirectional audio/video streaming) and gemini-omni-flash-api (Omni video generation and editing), filling in APIs released after model training cutoffs. Maintained by Google's Gemini team.
- [Microsoft Agent Skills](https://hebbmind.com/fr/skill/microsoft-skills.md): [Skill] Microsoft's official skill collection: 170+ skills focused on Azure SDKs (Python, .NET, TypeScript, Java, Rust) and Microsoft Foundry development, plus plugins, custom agents and MCP configs. Microsoft recommends picking skills per project rather than installing them all.
- [Cloudflare Agents SDK](https://hebbmind.com/fr/skill/agents-sdk.md): [Skill] Teaches agents to build, debug and review stateful AI agents with the Cloudflare Agents SDK: state sync, scheduled tasks, RPC, MCP servers, email and streaming chat, checking the latest official docs first. Maintained by Cloudflare.
- [MCP Memory Service](https://hebbmind.com/fr/mcp/mcp-memory-service.md): [MCP] Self-hostable long-term memory for agents, offering MCP, a REST API and a web dashboard: semantic search, knowledge graph and automatic memory consolidation. Embeddings are computed locally; choose SQLite, Cloudflare or Milvus as the backend.
- [ROS MCP Server](https://hebbmind.com/fr/mcp/ros-mcp-server.md): [MCP] Connects LLMs to ROS and ROS 2 robots: publish and subscribe to topics, call services and actions, set parameters, and read sensor and robot state, without changing robot code. The robot side needs rosbridge running.
- [LangChain Skills](https://hebbmind.com/fr/skill/langchain-skills.md): [Skill] LangChain's official skill collection: framework selection, quickstarts, middleware, persistence, human-in-the-loop approval, RAG and eval design across LangChain, LangGraph and Deep Agents, in Python and TypeScript. Also installable as a Claude Code plugin. Still in early development.
- [Hugging Face MCP Server](https://hebbmind.com/fr/mcp/hf-mcp-server.md): [MCP] Hugging Face's official MCP server: lets agents search models, datasets and Spaces on the Hub and call thousands of Gradio AI apps directly. Hosted remotely; sign in with your Hugging Face account or authorize with a token.
- [MLflow Skills](https://hebbmind.com/fr/plugin/mlflow-skills.md): [Plugin] MLflow's official skills plugin: lets coding agents add MLflow Tracing to LLM apps, analyze failed traces, build evaluation datasets and scorers, and query token and latency metrics, closing the instrument, evaluate, iterate loop. Needs MLflow 3.8+.
- [Pinecone Plugin for Claude Code](https://hebbmind.com/fr/plugin/pinecone-claude-code-plugin.md): [Plugin] Pinecone's official plugin: bundles the Pinecone MCP server and /pinecone skill commands to create vector indexes, upsert data, search in plain language, or build a document Q&A assistant with citations from Claude Code. Needs a Pinecone API key (free sign-up); Assistant features also need uv.
