Give coding agents AST-backed semantic code search with CocoIndex Code
Install CocoIndex Code as a skill, plugin, CLI, or MCP server so coding agents can initialize, update, and query local AST-backed semantic code indexes.
npx skills add agentskillexchange/skills --skill give-coding-agents-ast-backed-semantic-code-search-with-cocoindex-code
pipx install 'cocoindex-code[full]' or uv tool install --upgrade 'cocoindex-code[full]'. For skill-based agent use, run npx skills add cocoindex-io/cocoindex-code; for MCP use, configure the client to run ccc mcp such as codex mcp add cocoindex-code -- ccc mcp.Use CocoIndex Code when a coding agent needs semantic repository search that goes beyond grep and can stay current as files change. The workflow is concrete: install the `ccc` skill or plugin, let the agent initialize and maintain the code index, then ask natural-language code questions or invoke `/ccc`; alternatively expose the same search through `ccc mcp` for Codex, Claude Code, Cursor, Grok, Gemini-compatible embedding setups, or other MCP clients. Invoke this instead of manual code browsing when the task is finding relevant implementation areas, symbols, or concepts in a large repository before editing. Keep the boundary on AST-backed semantic code search and agent integration; do not treat this as a generic vector database, full CocoIndex data pipeline, or broad code-quality tool.
What this skill actually does
Inputs and prerequisites: Python tool install via pipx or uv; optional local or cloud embedding provider; Claude Code/Grok skill support or an MCP-capable coding agent.
Setup notes: Install with pipx install ‘cocoindex-code[full]’ or uv tool install –upgrade ‘cocoindex-code[full]’ . For skill-based agent use, run npx skills add cocoindex-io/cocoindex-code ; for MCP use, configure the client to run ccc mcp such as codex mcp add cocoindex-code — ccc mcp .
Source and verification boundary: use https://cocoindex.io/ as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.