Ccc logo

Ccc

OrganizationPopular
cocoindex-io
ccc

This skill should be used when code search is needed (whether explicitly requested or as part of completing a task), when indexing the codebase after changes, or when the user asks about ccc, cocoindex-code, or the codebase index. Trigger phrases include 'search the codebase', 'find code related to', 'update the index', 'ccc', 'cocoindex-code'.

Overview

Publishercocoindex-io
Repositorycocoindex-code
Skill nameccc
Stars
2.7K
Forks
225
Bundled files
2
LicenseApache-2.0
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cocoindex-io on GitHub. Read the source before you install it.

Installation

Install the Ccc 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.
    https://github.com/cocoindex-io/cocoindex-code/tree/main/skills/ccc
  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/cocoindex-io/cocoindex-code.git /tmp/cocoindex-code
mkdir -p .claude/skills
cp -r /tmp/cocoindex-code/skills/ccc .claude/skills/ccc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ccc 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 Ccc 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 Ccc 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.

ccc - Semantic Code Search & Indexing

ccc is the CLI for CocoIndex Code, providing semantic search over the current codebase and index management.

Ownership

The agent owns the ccc lifecycle for the current project — initialization, indexing, and searching. Do not ask the user to perform these steps; handle them automatically.

  • Initialization: If ccc search or ccc index fails with an initialization error (e.g., "Not in an initialized project directory"), run ccc init from the project root directory, then ccc index to build the index, then retry the original command.
  • Index freshness: Keep the index up to date by running ccc index (or ccc search --refresh) when the index may be stale — e.g., at the start of a session, or after making significant code changes (new files, refactors, renamed modules). There is no need to re-index between consecutive searches if no code was changed in between.
  • Installation: If ccc itself is not found (command not found), refer to management.md for installation instructions and inform the user.

Searching the Codebase

To perform a semantic search:

bash
ccc search <query terms>

The query should describe the concept, functionality, or behavior to find, not exact code syntax. For example:

bash
ccc search database connection pooling
ccc search user authentication flow
ccc search error handling retry logic

Filtering Results

  • By language (--lang, repeatable): restrict results to specific languages.

    bash
    ccc search --lang python --lang markdown database schema
  • By path (--path): restrict results to a glob pattern relative to project root. If omitted, defaults to the current working directory (only results under that subdirectory are returned).

    bash
    ccc search --path 'src/api/*' request validation

Pagination

Results default to the first page. To retrieve additional results:

bash
ccc search --offset 5 --limit 5 database schema

If all returned results look relevant, use --offset to fetch the next page — there are likely more useful matches beyond the first page.

Working with Search Results

Search results include file paths and line ranges. To explore a result in more detail:

  • Use the editor's built-in file reading capabilities (e.g., the Read tool) to load the matched file and read lines around the returned range for full context.
  • When working in a terminal without a file-reading tool, use sed -n '<start>,<end>p' <file> to extract a specific line range.

Settings

To view or edit embedding model configuration, include/exclude patterns, or language overrides, see settings.md.

Management & Troubleshooting

For installation, initialization, daemon management, troubleshooting, and cleanup commands, see management.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ccc AI skill do?

This skill should be used when code search is needed (whether explicitly requested or as part of completing a task), when indexing the codebase after changes, or when the user asks about ccc, cocoindex-code, or the codebase index. Trigger phrases include 'search the codebase', 'find code related to', 'update the index', 'ccc', 'cocoindex-code'.

Why use Ccc on TypingMind?

Because you install it once and use it with any model. Ccc 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 Ccc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cocoindex-io/cocoindex-code/tree/main/skills/ccc. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ccc?

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 Ccc?

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

Is the Ccc AI skill free?

Yes. It is published on GitHub by cocoindex-io under the Apache-2.0 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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