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Codebase intelligence for AI agents - extracts code structure and validates code quality
Codebase intelligence for AI agents.
Extracts code structure so AI coding assistants can navigate your codebase effectively.
Install the skill for your AI coding agent:
npx skills add AvivK5498/Agentifind
Then ask your agent: "Run /agentifind" or "Set up codebase intelligence"
Works with: Claude Code, Cursor, Windsurf, Cline, and other supported agents.
The /agentifind skill:
agentifind sync to extract code structure (LSP or tree-sitter).claude/CODEBASE.md - a navigation guide for your agent.claude/
├── codebase.json # Structured extraction (modules, call graph, imports)
├── CODEBASE.md # Navigation guide (synthesized by skill)
└── .agentifind-checksum # Staleness detection
Measure how much CODEBASE.md improves agent efficiency:
npx skills add AvivK5498/Agentifind/skills/agentifind_benchmark
Then run /agentifind-benchmark to:
Requires: Run /agentifind first to generate CODEBASE.md
| Language | Extraction | Validation |
|---|---|---|
| Python | LSP (pyright) or tree-sitter | ruff, mypy |
| TypeScript | LSP (tsserver) or tree-sitter | eslint, tsc |
| JavaScript | tree-sitter | eslint |
You can also run the CLI directly without the skill:
# Extract code structure
npx agentifind sync
# Check if index is stale
npx agentifind status
Options:
| Option | Description |
|---|---|
--skip-validate | Skip linting/type checks (faster) |
--if-stale | Only sync if source files changed |
--verbose | Show extraction progress |
--ci | Exit non-zero on validation failures |
MIT
FAQs
Codebase intelligence for AI agents - extracts code structure and validates code quality
The npm package agentifind receives a total of 1 weekly downloads. As such, agentifind popularity was classified as not popular.
We found that agentifind demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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