index-knowledge
Generate hierarchical AGENTS.md knowledge base for a codebase. Creates root + complexity-scored subdirectory documentation.
By tursodatabase · 1,229 installs
npx skills add tursodatabase/turso --skill index-knowledge
Source repository · Upstream listing
index knowledge
Generate hierarchical AGENTS.md files. Root + complexity scored subdirectories.
Usage
Default: Update mode (modify existing + create new where warranted)
Workflow (High Level)
1. Discovery + Analysis (concurrent)
Launch parallel explore agents (multiple Task calls in one message)
Main session: bash structure + LSP codemap + read existing AGENTS.md
2. Score & Decide Determine AGENTS.md locations from merged findings
3. Generate Root first, then subdirs in parallel
4. Review Deduplicate, trim, validate
<critical
TodoWrite ALL phases. Mark in progress → completed in real time.
</critical
Phase 1: Discovery + Analysis (Concurrent)
Mark "discovery" as in progress.
Launch Parallel Explore Agents
Multiple Task calls in a single message execute in parallel. Results return directly.
<dynamic agents
DYNAMIC AGENT SPAWNING : After bash analysis, spawn ADDITIONAL explore agents based on project scale:
Factor Threshold Additional Agents
Total files 100 +1 per 100 files
Total lines 10k +1 per 10k lines
Directory depth ≥4 +2 for deep exploration
Large files ( 500 lines) 10 files +1 for complexity hotspots
Monorepo detected +1 per package/workspace
Multiple languages 1 +1 per language
Example spawning (all in ONE message for parallel execution):
</dynamic agents
Main Session: Concurrent Analysis
While Task agents execute , main session does:
1. Bash Structural Analysis
2. Read Existing AGENTS.md
If create new : Read all existing first (preserve context) → then delete all → regenerate.
3. LSP Codemap (if available)
LSP Fallback : If unavailable, rely on explore agents + AST grep.
Merge: bash + LSP + existing + Task agent results. Mark "discovery" as completed.
Phase 2: Scoring & Location Decision
Mark "scoring" as in progress.
Scoring Matrix
Factor Weight High Threshold Source
File count 3x 20 bash
Subdir count 2x 5 bash
Code ratio 2x 70% bash
Unique patterns 1x Has own config explore
Module boundary 2x Has index.ts/ init .py bash
Symbol density 2x 30 symbols LSP
Export count 2x 10 exports LSP
Reference centrality 3x 20 refs LSP
Decision Rules
Score Action
Root (.) ALWAYS create
15 Create AGENTS.md
8 15 Create if distinct domain
<8 Skip (parent covers)
Output
Mark "scoring" as completed.
Phase 3: Generate AGENTS.md
Mark "generate" as in progress.
Root AGENTS.md (Full Treatment)
Quality gates : 50 150 lines, no generic advice, no obvious info.
Subdirectory AGENTS.md (Parallel)
Launch general agents for each location in ONE message (parallel execution):
Results return directly. Mark "generate" as completed.
Phase 4: Review & Deduplicate
Mark "review" as in progress.
For each generated file:
Remove generic advice
Remove parent duplicates
Trim to size limits
Verify telegraphic style
Mark "review" as completed.
Final Report
Anti Patterns
Static agent count : MUST vary agents based on project size/depth
Sequential execution : MUST parallel (multiple Task calls in one message)
Ignoring existing : ALWAYS read existing first, even with create new
Over documenting : Not every dir needs AGENTS.md
Redundancy : Child never repeats parent
Generic content : Remove anything that applies to ALL projects
Verbose style : Telegraphic or die