본문으로 건너뛰기
cccskills
무료GitHub에 공개

brain:export

Use when the user asks to refresh CLAUDE.local.md, regenerate project context, or after a brain-update session flush. Rewrites only the sentinel-delimited auto-generated section from the brain DB, preserving manual behavior rules.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md5.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

/brain-export — CLAUDE.local.md Auto-Generator

Generates or refreshes the <!-- AUTO-GENERATED: brain-export --> section in the project's CLAUDE.local.md file from the brain SQLite DB. Protects all manually written content above and below the sentinels.

Quick Reference

BRAIN="python3 ~/.claude/skills/brain/scripts/brain/brain_cli.py"

# Basic export (writes CLAUDE.local.md next to project_brain.db)
$BRAIN export <project-slug>

# Export with explicit output path
$BRAIN export <project-slug> --output /path/to/CLAUDE.local.md

# Export with explicit DB path
$BRAIN --db /path/to/project_brain.db export <project-slug>

Procedure

Step 1 — Verify brain DB exists

BRAIN="python3 ~/.claude/skills/brain/scripts/brain/brain_cli.py"
$BRAIN info

If the DB is missing, tell the user to run /brain-init first.

Step 2 — Run the export

$BRAIN export <project-slug>

The exporter will:

  1. Read any existing CLAUDE.local.md at the output path
  2. Preserve everything above <!-- AUTO-GENERATED: brain-export -->
  3. Preserve everything below <!-- END AUTO-GENERATED -->
  4. If no sentinels found, append the auto section at the bottom (safe first run)
  5. Regenerate the auto section from brain DB
  6. Write atomically (tmp file + rename)

Step 3 — Show the user what was generated

Parse the JSON output and display:

brain:export complete
─────────────────────────────────────────
Output:         /path/to/CLAUDE.local.md
Project slug:   <slug>
Auto section:   ~NNN tokens (within 1,200 token budget: YES/NO)
Total file:     ~NNN tokens
─────────────────────────────────────────
Sections generated:
  - Project Identity  (if ~/.mempalace/identity.txt exists)
  - Last Session      (most recent event + decision)
  - Key People        (up to 8 person entities)
  - Key Systems       (up to 8 system/module entities)
  - Recent Decisions  (last 4 decisions)
  - Project Status    (entity/decision/event counts + last sync date)

Step 4 — First-run: offer to migrate feedback memories

If this is the first export AND the project memory directory contains files with type: feedback frontmatter, offer to migrate them into behavior rules:

Found N feedback memory files that could become behavior rules in CLAUDE.local.md:
  - feedback_html_docs_with_tailwind.md → "Documents as Tailwind HTML not Markdown"

Add these as a ## Behavior Rules section below the auto-generated block? [y/N]

To migrate programmatically:

from brain.exporter import migrate_feedback_memories
from pathlib import Path

memory_dir = Path("~/.claude/projects/<project-slug-hash>/memory").expanduser()
rules = migrate_feedback_memories(memory_dir)
for rule in rules:
    print(rule)

Then append the rules as a ## Behavior Rules section below <!-- END AUTO-GENERATED --> in CLAUDE.local.md.

Auto-Section Format

<!-- AUTO-GENERATED: brain-export -->
<!-- Generated: 2026-04-09T12:00:00Z | Brain DB: 42 entities | MemPalace: 7 drawers -->

## Project Identity
<contents of ~/.mempalace/identity.txt if it exists>

## Last Session
- Most recent event title (YYYY-MM-DD)
- Most recent decision text (YYYY-MM-DD)

## Key People
| Name | Role | Email |
|------|------|-------|
| Alice Smith | Product Manager | alice@example.com |

## Key Systems
- **SystemA** — Description from metadata
- **ModuleB**

## Recent Decisions
- [2026-04-08] Decision text (truncated to 120 chars)

## Project Status
- Entities: 42 | Decisions: 12 | Events: 8
- Last brain sync: 2026-04-09
- Query: `/coco brain` or `/brain context {slug}` for full context

<!-- END AUTO-GENERATED -->

Sentinel Contract

SentinelPositionMeaning
<!-- AUTO-GENERATED: brain-export -->Start of auto blockEverything below is managed by exporter
<!-- END AUTO-GENERATED -->End of auto blockEverything below is protected manual content

Never manually edit between the sentinels — changes will be overwritten on next export. Safe to edit anything above START or below END at any time.

Token Budget

The auto section is capped at 1,200 tokens (~4,800 characters). If the generated content exceeds this, the body is truncated. The header comment and sentinels are always preserved intact.

When to Run

  • After every /brain-update session flush (brain DB has new data)
  • After /brain-init (first time setup)
  • After /brain-rescan (bulk entity import)
  • When starting work on a project for the first time in a new session (ensure context is fresh)

Trigger Phrases

  • "export brain to CLAUDE.local.md"
  • "refresh project context file"
  • "generate CLAUDE.local"
  • "update auto-generated section"
  • "brain export <slug>"

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Train and optimize AI agents using Microsoft's Agent Lightning framework with reinforcement learning. Use when setting up agent training, instrumenting agents with tracing, configuring LightningStore, implementing reward functions, or optimizing prompts with RL/APO algorithms.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco8172026년 10월 20일 업데이트

Post-run self-evaluation system that scores agent output on correctness, clarity, actionability, and conciseness. Use after /team runs, skill executions, or when explicitly asked to evaluate output quality.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco8172026년 10월 20일 업데이트

Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco8172026년 10월 20일 업데이트

Use when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. Treats prompts as code and validates every model output.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco8172026년 10월 20일 업데이트

Your AI research and engineering brain trust. 59 named personas across 8 cells covering frontier labs, applied product, model architecture, reasoning/RL/agents, alignment and interpretability, theory and science of DL, multimodal and…

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco8172026년 10월 20일 업데이트

Use when designing a new REST or GraphQL API, reviewing an API spec before implementation, setting team API standards, or migrating REST to GraphQL. Covers resources, HTTP semantics, pagination, error handling, and pitfalls.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

coco-research/coco8172026년 10월 20일 업데이트

coco-research의 스킬 모두 보기

이 스킬의 문제 신고