Ecosystem Tools logo

Ecosystem Tools

Organization
TheBeardedBearSAS
ecosystem-tools

Third-party Claude Code token/context/code-review tools. Use when choosing or recommending an external tool to reduce token usage, manage context, or review large codebases.

Overview

PublisherTheBeardedBearSAS
Repositoryclaude-craft
Skill nameecosystem-tools
Stars
105
Forks
9
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by TheBeardedBearSAS on GitHub. Read the source before you install it.

Installation

Install the Ecosystem Tools AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/TheBeardedBearSAS/claude-craft.git /tmp/claude-craft
mkdir -p .claude/skills
cp -r /tmp/claude-craft/Dev/i18n/base/Common/skills/ecosystem-tools .claude/skills/ecosystem-tools
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ecosystem Tools in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ecosystem Tools on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ecosystem Tools is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Ecosystem Tools

Curated third-party Claude Code tools that complement Claude Craft's native token/context stack (RTK, context: fork skills, compaction hooks). None are bundled — they are documented with activation recipes and license caveats.

See ../../../../docs/ECOSYSTEM.md for the full catalogue, licenses, and .mcp.json snippets.

Quick reference

ToolLicenseUse it forRec
cavemanMITCompress agent output ~65%✅ Integrate
code-review-graphMITAST graph → read only the blast radius on review✅ Integrate
token-saviorMITSymbol index + Bash output compaction (−80%), RTK alternative✅ Integrate
claude-token-efficientMITAnti-verbosity CLAUDE.md drop-in✅ Integrate
context-modeELv2Output sandboxing — license blocks commercial redistribution🔶 Reference
claude-contextMITSemantic search; needs a Milvus/Zilliz vector DB🔶 Reference

Audit the source and pin a version before enabling any third-party MCP server or skill — see the security rule (11) and docs/MCP.md#security.

Frequently asked questions

What does the Ecosystem Tools AI skill do?

Third-party Claude Code token/context/code-review tools. Use when choosing or recommending an external tool to reduce token usage, manage context, or review large codebases.

Why use Ecosystem Tools on TypingMind?

Because you install it once and use it with any model. Ecosystem Tools is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ecosystem Tools in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TheBeardedBearSAS/claude-craft/tree/main/Dev/i18n/base/Common/skills/ecosystem-tools. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ecosystem Tools?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ecosystem Tools?

As many as you like. As long as a model supports skills, you can use Ecosystem Tools with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ecosystem Tools AI skill free?

Yes. It is published on GitHub by TheBeardedBearSAS under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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