nickcrew/claude-cortex

codanna-codebase-intelligence

Use codanna MCP tools for semantic code search, call graphs, and impact analysis before grep/find.

First seen Feb 24, 2026

Installation

$ npx skills add nickcrew/claude-cortex --skill codanna-codebase-intelligence

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 38
License LICENSE
Default branch main
Open issues 3
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,532 B
  • docs SUMMARY.md 135 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 71 installs

SKILL.md

Codanna Codebase Intelligence

Codanna indexes your codebase and provides semantic search, call graphs, and dependency analysis via MCP tools. Use codanna before grep/find - it understands code structure, not just text patterns.

When to Use

  • Finding code: "Where do we handle authentication?" → semanticsearchdocs
  • Understanding dependencies: "What calls this function?" → find_callers
  • Impact analysis: "What breaks if I change this?" → analyze_impact
  • Exploring symbols: "Show me the Parser struct" → find_symbol

Core Tools

Discovery

# Natural language search - finds code by intent, not keywords
semantic_search_docs query:"error handling patterns" limit:5

# Search symbols by name/pattern
search_symbols query:"parse" kind:"function"

# Get full details on a specific symbol
find_symbol name:"process_file"

Relationships

# Who calls this function? (upstream)
find_callers symbol:"validate_input"

# What does this function call? (downstream)
get_calls symbol:"process_request"

# Full dependency graph - what breaks if I change this?
analyze_impact symbol:"DatabaseConnection" depth:3

Documentation (RAG)

# Search indexed markdown/docs
search_documents query:"API authentication" collection:"docs"

Tool Selection Guide

Task Tool Example
Find code by concept semanticsearchdocs "database migrations"
Find symbol by name search_symbols Pattern: "auth*"
Get symbol details find_symbol Exact: "UserService"
Trace callers find_callers "Who uses this?"
Trace dependencies get_calls "What does this call?"
Assess refactor risk analyze_impact "What breaks?"

Workflow Patterns

Before Refactoring

  1. find_symbol - understand current implementation
  2. find_callers - identify all usage sites
  3. analyze_impact - assess blast radius
  4. Then proceed with changes

Understanding Unfamiliar Code

  1. semanticsearchdocs - "how does X work"
  2. find_symbol - get entry point details
  3. get_calls - trace execution flow

Finding Where to Add Code

  1. semanticsearchdocs - "similar patterns"
  2. find_callers - how existing code integrates
  3. Follow established patterns

Why Codanna Over Grep

Grep/Find Codanna
Text matching Semantic understanding
String "parse" matches comments find_symbol finds the actual function
Manual call tracing find_callers shows full graph
Guessing impact analyze_impact shows dependencies

Integration with Agent-Loops

Codanna complements the agent-loops review workflow by providing structural code intelligence that diff-based review alone cannot offer.

Pre-review impact analysis

Before invoking specialist-review.sh, run codanna to understand the blast radius of your changes. This feeds grounded structural data into the review, helping reviewers focus on real downstream effects rather than guessing from the diff.

# Gather impact data for changed symbols
codanna mcp find_callers process_request --watch
codanna mcp analyze_impact DatabaseConnection --watch --json

Multi-specialist review support

In the multi-specialist review architecture (see docs/development/plans/multi-specialist-review.md), specialists can use codanna tools alongside Read/Grep/Glob for grounded analysis. Impact data can also inform specialist triage — determining which review perspectives to activate based on which parts of the codebase are structurally affected.

Automatic index freshness

The --watch flag on CLI commands checks for file changes and re-indexes before running, so impact data stays current throughout a review session without manual reindexing. The MCP server equivalent (codanna serve --watch) provides the same freshness guarantee for interactive sessions.

Tips

  • Start broad with semanticsearchdocs, then drill down with find_symbol
  • Use analyze_impact before any refactor touching shared code
  • find_callers with depth > 1 shows transitive callers
  • Results include file paths and line numbers - use for navigation