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Skills/tursodatabase/turso/index-knowledge
index-knowledge logo

index-knowledge

tursodatabase/turso
792 installs19K stars
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Installation

npx skills add https://github.com/tursodatabase/turso --skill index-knowledge

Summary

Generate hierarchical AGENTS.md knowledge base for a codebase. Creates root + complexity-scored subdirectory documentation.

SKILL.md

index-knowledge

Generate hierarchical AGENTS.md files. Root + complexity-scored subdirectories.

Usage

--create-new   # Read existing → remove all → regenerate from scratch
--max-depth=2  # Limit directory depth (default: 5)

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
  1. Score & Decide - Determine AGENTS.md locations from merged findings
  2. Generate - Root first, then subdirs in parallel
  3. Review - Deduplicate, trim, validate

<critical> TodoWrite ALL phases. Mark in_progress → completed in real-time.

TodoWrite([
  { id: "discovery", content: "Fire explore agents + LSP codemap + read existing", status: "pending", priority: "high" },
  { id: "scoring", content: "Score directories, determine locations", status: "pending", priority: "high" },
  { id: "generate", content: "Generate AGENTS.md files (root + subdirs)", status: "pending", priority: "high" },
  { id: "review", content: "Deduplicate, validate, trim", status: "pending", priority: "medium" }
])

</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.

// All Task calls in ONE message = parallel execution

Task(
  description="project structure",
  subagent_type="explore",
  prompt="Project structure: PREDICT standard patterns for detected language → REPORT deviations only"
)

Task(
  description="entry points",
  subagent_type="explore",
  prompt="Entry points: FIND main files → REPORT non-standard organization"
)

Task(
  description="conventions",
  subagent_type="explore",
  prompt="Conventions: FIND config files (.eslintrc, pyproject.toml, .editorconfig) → REPORT project-specific rules"
)

Task(
  description="anti-patterns",
  subagent_type="explore",
  prompt="Anti-patterns: FIND 'DO NOT', 'NEVER', 'ALWAYS', 'DEPRECATED' comments → LIST forbidden patterns"
)

Task(
  description="build/ci",
  subagent_type="explore",
  prompt="Build/CI: FIND .github/workflows, Makefile → REPORT non-standard patterns"
)

Task(
  description="test patterns",
  subagent_type="explore",
  prompt="Test patterns: FIND test configs, test structure → REPORT unique conventions"
)

<dynamic-agents> DYNAMIC AGENT SPAWNING: After bash analysis, spawn ADDITIONAL explore agents based on project scale:

FactorThresholdAdditional 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
Monorepodetected+1 per package/workspace
Multiple languages>1+1 per language
# Measure project scale first
total_files=$(find . -type f -not -path '*/node_modules/*' -not -path '*/.git/*' | wc -l)
total_lines=$(find . -type f \( -name "*.ts" -o -name "*.py" -o -name "*.go" \) -not -path '*/node_modules/*' -exec wc -l {} + 2>/dev/null | tail -1 | awk '{print $1}')
large_files=$(find . -type f \( -name "*.ts" -o -name "*.py" \) -not -path '*/node_modules/*' -exec wc -l {} + 2>/dev/null | awk '$1 > 500 {count++} END {print count+0}')
max_depth=$(find . -type d -not -path '*/node_modules/*' -not -path '*/.git/*' | awk -F/ '{print NF}' | sort -rn | head -1)

Example spawning (all in ONE message for parallel execution):

// 500 files, 50k lines, depth 6, 15 large files → spawn additional agents
Task(
  description="large files",
  subagent_type="explore",
  prompt="Large file analysis: FIND files >500 lines, REPORT complexity hotspots"
)

Task(
  description="deep modules",
  subagent_type="explore",
  prompt="Deep modules at depth 4+: FIND hidden patterns, internal conventions"
)

Task(
  description="cross-cutting",
  subagent_type="explore",
  prompt="Cross-cutting concerns: FIND shared utilities across directories"
)
// ... more based on calculation

</dynamic-agents>

Main Session: Concurrent Analysis

While Task agents execute, main session does:

1. Bash Structural Analysis
# Directory depth + file counts
find . -type d -not -path '*/\.*' -not -path '*/node_modules/*' -not -path '*/venv/*' -not -path '*/dist/*' -not -path '*/build/*' | awk -F/ '{print NF-1}' | sort -n | uniq -c

# Files per directory (top 30)
find . -type f -not -path '*/\.*' -not -path '*/node_modules/*' | sed 's|/[^/]*$||' | sort | uniq -c | sort -rn | head -30

# Code concentration by extension
find . -type f \( -name "*.py" -o -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.go" -o -name "*.rs" \) -not -path '*/node_modules/*' | sed 's|/[^/]*$||' | sort | uniq -c | sort -rn | head -20

# Existing AGENTS.md / CLAUDE.md
find . -type f \( -name "AGENTS.md" -o -name "CLAUDE.md" \) -not -path '*/node_modules/*' 2>/dev/null
2. Read Existing AGENTS.md
For each existing file found:
  Read(filePath=file)
  Extract: key insights, conventions, anti-patterns
  Store in EXISTING_AGENTS map

If --create-new: Read all existing first (preserve context) → then delete all → regenerate.

3. LSP Codemap (if available)
lsp_servers()  # Check availability

# Entry points (parallel)
lsp_document_symbols(filePath="src/index.ts")
lsp_document_symbols(filePath="main.py")

# Key symbols (parallel)
lsp_workspace_symbols(filePath=".", query="class")
lsp_workspace_symbols(filePath=".", query="interface")
lsp_workspace_symbols(filePath=".", query="function")

# Centrality for top exports
lsp_find_references(filePath="...", line=X, character=Y)

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

FactorWeightHigh ThresholdSource
File count3x>20bash
Subdir count2x>5bash
Code ratio2x>70%bash
Unique patterns1xHas own configexplore
Module boundary2xHas index.ts/__init__.pybash
Symbol density2x>30 symbolsLSP
Export count2x>10 exportsLSP
Reference centrality3x>20 refsLSP

Decision Rules

ScoreAction
Root (.)ALWAYS create
>15Create AGENTS.md
8-15Create if distinct domain
<8Skip (parent covers)

Output

AGENTS_LOCATIONS = [
  { path: ".", type: "root" },
  { path: "src/hooks", score: 18, reason: "high complexity" },
  { path: "src/api", score: 12, reason: "distinct domain" }
]

Mark "scoring" as completed.

---

Phase 3: Generate AGENTS.md

Mark "generate" as in_progress.

Root AGENTS.md (Full Treatment)

# PROJECT KNOWLEDGE BASE

**Generated:** {TIMESTAMP}
**Commit:** {SHORT_SHA}
**Branch:** {BRANCH}

## OVERVIEW
{1-2 sentences: what + core stack}

## STRUCTURE
\`\`\`
{root}/
├── {dir}/    # {non-obvious purpose only}
└── {entry}
\`\`\`

## WHERE TO LOOK
| Task | Location | Notes |
|------|----------|-------|

## CODE MAP
{From LSP - skip if unavailable or project <10 files}

| Symbol | Type | Location | Refs | Role |

## CONVENTIONS
{ONLY deviations from standard}

## ANTI-PATTERNS (THIS PROJECT)
{Explicitly forbidden here}

## UNIQUE STYLES
{Project-specific}

## COMMANDS
\`\`\`bash
{dev/test/build}
\`\`\`

## NOTES
{Gotchas}

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):

// All in single message = parallel
Task(
  description="AGENTS.md for src/hooks",
  subagent_type="general",
  prompt="Generate AGENTS.md for: src/hooks
    - Reason: high complexity
    - 30-80 lines max
    - NEVER repeat parent content
    - Sections: OVERVIEW (1 line), STRUCTURE (if >5 subdirs), WHERE TO LOOK, CONVENTIONS (if different), ANTI-PATTERNS
    - Write directly to src/hooks/AGENTS.md"
)

Task(
  description="AGENTS.md for src/api",
  subagent_type="general",
  prompt="Generate AGENTS.md for: src/api
    - Reason: distinct domain
    - 30-80 lines max
    - NEVER repeat parent content
    - Sections: OVERVIEW (1 line), STRUCTURE (if >5 subdirs), WHERE TO LOOK, CONVENTIONS (if different), ANTI-PATTERNS
    - Write directly to src/api/AGENTS.md"
)
// ... one Task per AGENTS_LOCATIONS entry

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

=== index-knowledge Complete ===

Mode: {update | create-new}

Files:
  ✓ ./AGENTS.md (root, {N} lines)
  ✓ ./src/hooks/AGENTS.md ({N} lines)

Dirs Analyzed: {N}
AGENTS.md Created: {N}
AGENTS.md Updated: {N}

Hierarchy:
  ./AGENTS.md
  └── src/hooks/AGENTS.md

---

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

Score

0–100
65/ 100

Grade

C

Popularity17/30

792 installs — growing adoption. Source repo has 19,178 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Index Knowledge skill score badge previewScore badge

Markdown

[![Index Knowledge skill](https://www.remoteopenclaw.com/skills/tursodatabase/turso/index-knowledge/badges/score.svg)](https://www.remoteopenclaw.com/skills/tursodatabase/turso/index-knowledge)

HTML

<a href="https://www.remoteopenclaw.com/skills/tursodatabase/turso/index-knowledge"><img src="https://www.remoteopenclaw.com/skills/tursodatabase/turso/index-knowledge/badges/score.svg" alt="Index Knowledge skill"/></a>

Index Knowledge FAQ

How do I install the Index Knowledge skill?

Run “npx skills add https://github.com/tursodatabase/turso --skill index-knowledge” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Index Knowledge skill do?

Generate hierarchical AGENTS.md knowledge base for a codebase. Creates root + complexity-scored subdirectory documentation. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Index Knowledge skill free?

Yes. Index Knowledge is a free, open-source skill published from tursodatabase/turso. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Index Knowledge work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Index Knowledge works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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