index-knowledge

Tạo cơ sở kiến thức AGENTS.md phân cấp cho một mã nguồn. Tạo tài liệu thư mục con có điểm độ phức tạp ở thư mục gốc.

npx skills add https://github.com/cloudflare/kumo --skill index-knowledge

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
  2. Score & Decide - Determine AGENTS.md locations from merged findings
  3. Generate - Root first, then subdirs in parallel
  4. Review - Deduplicate, trim, validate
**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" }
])

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 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

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

Thêm skills từ cloudflare

workerd-api-review
cloudflare
Tối ưu hóa hiệu suất, thiết kế & tương thích API, lỗ hổng bảo mật và tuân thủ đặc tả tiêu chuẩn cho việc xem xét mã workerd. Bao gồm nhận biết tcmalloc…
official
workerd-safety-review
cloudflare
Các mẫu phát hiện về an toàn bộ nhớ, an toàn luồng, đồng thời và quan trọng cho việc xem xét mã workerd. Bao gồm các rủi ro ranh giới V8/KJ, quản lý vòng đời,…
official
module-registry
cloudflare
Tải khi làm việc với module registry trong workerd — đọc, sửa đổi, gỡ lỗi hoặc xem xét việc phân giải, biên dịch, đánh giá hoặc đăng ký module…
official
reproduce
cloudflare
Tái tạo một vấn đề GitHub của cloudflare/agents bằng cách tạo khung một dự án Agents/Worker tối thiểu và triển khai nó lên một tài khoản Cloudflare tạm thời, sau đó báo cáo…
official
local-explorer
cloudflare
Cách thêm sản phẩm/tài nguyên vào local explorer hoặc local API. Sử dụng khi triển khai các local API mới hoặc các route UI trong…
official
commit-categories
cloudflare
Quy tắc phân loại commit cho changelog và tóm tắt "có gì mới". PHẢI được tải trước khi phân loại commit trong changelog hoặc lệnh whats-new. Cung cấp…
official
architecture
cloudflare
Sử dụng khi lần đầu điều hướng cơ sở mã, thêm một phương thức client mới, thêm một trình xử lý/dịch vụ container mới, hoặc hiểu cách một yêu cầu luân chuyển…
official
changesets
cloudflare
Sử dụng khi tạo changeset, chuẩn bị phát hành hoặc nâng phiên bản. Bao gồm các gói cần tham chiếu, cách viết mô tả changeset hướng đến người dùng,…
official