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Index updater

Skill d3x293/code-crew/skills/index-updater

Multi-agent orchestration plugin for Claude Code — 11 AI agents with intelligent model routing, 3-layer codebase indexing, and auto skill injection

Install
npx -y skills add d3x293/code-crew --skill index-updater

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Keeps the 3-layer codebase index fresh after file edits. Performs incremental updates by recomputing hashes and re-extracting metadata for only changed files.

SKILL.md

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Index Updater - Incremental Index Maintenance

Keeps .claude/crew-index.json and .claude/crew-symbols.json up-to-date after code changes without rebuilding the entire index.

When to Activate

  • After any agent makes file edits (triggered by afterFileEdit hook or agent self-reporting)
  • When an agent notices the index is stale (hash mismatch)
  • Manually via /crew reindex for full rebuild

Incremental Update Process

Step 1: Identify changed files

The agent that made changes should report which files were modified. Alternatively, check file hashes:

For each file in crew-index.json:
  1. Compute current hash: shasum -a 256 <filepath>
  2. Compare with stored hash
  3. If different → mark for update
  4. If file deleted → mark for removal

Step 2: Update Layer 1 (crew-index.json)

For each changed file:

  1. Read the file
  2. Recompute: hash, size, lines, exports, imports, functions, classes
  3. Regenerate summary
  4. Replace the file's entry in crew-index.json

For deleted files:

  1. Remove the file's entry from crew-index.json

For new files (detected via Glob that aren't in index):

  1. Read and extract full metadata
  2. Add new entry to crew-index.json

Step 3: Update Layer 2 (crew-symbols.json)

For each changed file:

  1. Re-extract all symbols (functions, classes, methods) with signatures and line ranges
  2. Re-scan for calls to known symbols
  3. Update calledBy relationships for affected symbols in other files
  4. Replace all symbols for this file in crew-symbols.json
  5. Rebuild affected callGraph entries

Step 4: Update global metadata

  1. Recompute contentHash from all file hashes
  2. Update stats (totalFiles, totalLines)
  3. Update lastIndexed timestamp

Performance Rules

  • Never rebuild entire index for a single file change
  • Batch updates: If 3+ files changed in one edit cycle, update all at once
  • Skip non-source files: Don't index changes to .json, .md, .yml unless they're in the monitored set
  • Lazy callGraph: Only rebuild callGraph edges that involve the changed file

Agent Self-Reporting Protocol

Every agent prompt includes this instruction:

After making any file changes, report them for index update:
"FILES_MODIFIED: src/parser.js, src/scraper.js"
The orchestrator will trigger incremental index update for these files.

This is more efficient than hash-checking every file after every edit.

Staleness Detection

If an agent reads the index and finds information that doesn't match reality:

  1. The symbol doesn't exist at the listed line range
  2. A file listed in the index doesn't exist
  3. A function's signature has changed

Then: trigger incremental update for that specific file before proceeding.

Batch Update from Orchestrator

When called by the execution-orchestrator with a list of modified files after task completion:

Input: Deduplicated list of file paths reported by agents via FILES_MODIFIED

Process:

  1. For each file in the list:
    • If file exists: Re-read the file, recompute SHA-256 hash, re-extract metadata (exports, imports, functions, classes, lines, summary). Replace the file's entry in crew-index.json (Layer 1) and re-extract all symbols with signatures and line ranges for crew-symbols.json (Layer 2).
    • If file was deleted: Remove the file's entry from both crew-index.json and crew-symbols.json.
    • If file is new (not in index): Read and extract full metadata, add new entry to both Layer 1 and Layer 2.
  2. Rebuild affected callGraph edges — only edges involving the changed files, not the entire graph
  3. Update calledBy relationships for symbols in other files that reference changed symbols
  4. Update global metadata: recompute contentHash from all file hashes, update stats.totalFiles, stats.totalLines, set lastIndexed to current timestamp

Output: Report "{N} files updated, {M} new, {K} removed" back to the orchestrator

Performance: This should complete quickly for typical task outputs (1-10 files). For 10+ files, consider batching the Layer 2 symbol re-extraction.

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