name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token,保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
日本語の概要は準備中です。原文の説明を表示しています。
Personal knowledge base for capturing and retrieving information about people, places, restaurants, games, tech, events, media, ideas, and organizations. Use when: user mentions a person, place, restaurant, landmark, game, device, event, book/show, idea, or company. Trigger phrases: "remember", "note that", "met this person", "visited", "played", "what do I know about", etc. Brain entries take precedence over daily logs for named entities.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
A personal knowledge management system for capturing and retrieving information about people, places, things, and ideas.
Brain takes precedence over daily logs for named entities.
Trigger this skill when:
Keywords that trigger: "remember", "note that", "met this person", "visited", "played", "watched", "read", "idea:", "what do I know about", "who is", "where was"
⚠️ Do NOT put brain-eligible content in daily logs. If it's a named entity (person, place, restaurant, product, game, etc.), it belongs in brain/, not memory/YYYY-MM-DD.md. Daily logs are for session context and ephemeral notes only.
🚨 MEDIA FILES MUST BE SAVED. When user sends photos/audio/video/PDFs about a brain entry, you MUST save the actual file to attachments/. Transcribing content is NOT the same as saving the file. Do BOTH.
All brain data lives in: ~/.openclaw/workspace/brain/
brain/
people/ # Contacts, people you've met
places/ # Restaurants, landmarks, venues
games/ # Video games and interactions
tech/ # Devices, products, specs, gotchas
events/ # Conferences, meetups, gatherings
media/ # Books, shows, films, podcasts
ideas/ # Business ideas, concepts, thoughts
orgs/ # Companies, communities, groups
This skill uses OpenClaw's built-in memory_search and memory_get tools, which work out of the box with any configured memory backend.
Use memory_search for all brain lookups:
memory_search("Raven Duran") # find a person
memory_search("Mamou Prime restaurant") # find a place
memory_search("what games has Raven played") # natural language
memory_search works transparently whether the backend is the built-in SQLite indexer or QMD. No direct CLI calls needed.
Use memory_get to read a specific brain file once you know its path:
memory_get("brain/people/raven-duran.md")
memory_get("brain/places/mamou-prime-sm-podium/mamou-prime-sm-podium.md")
Only use the qmd CLI directly when searching a non-workspace collection (e.g., the skills collection). For all brain lookups, use memory_search.
# Only for skills collection or non-workspace paths:
export PATH="$HOME/.bun/bin:$PATH"
qmd search "keyword" -c skills
memory_search("<name or topic>") to check for existing entriesskills/brain/templates/memory_search or direct path if knownlast_updated fieldmemory_search("<natural language question>") for semantic searchWhen user references something ambiguous (e.g., "John"):
memory_search("John")Found 2 matches for "John":
1. John Smith (Symph colleague, met 2024)
2. John Doe (GeeksOnABeach speaker, met 2026)
Which one?
Templates live in skills/brain/templates/. Each has:
When creating a new entry:
brain/<category>/<slug>.md| Category | Folder | Use For |
|---|---|---|
| People | brain/people/ | Anyone user has met or wants to remember |
| Places | brain/places/ | Restaurants, landmarks, venues, locations |
| Games | brain/games/ | Video games — status, opinions, notes |
| Tech | brain/tech/ | Devices, products, specs, quirks |
| Events | brain/events/ | Conferences, meetups, gatherings |
| Media | brain/media/ | Books, shows, films, podcasts |
| Ideas | brain/ideas/ | Business ideas, concepts, random thoughts |
| Orgs | brain/orgs/ | Companies, communities, groups |
Use wikilink-style references to connect entities:
[[people/raven-duran]] — link to a person[[events/geeksonabeach-2026]] — link to an event[[orgs/symph]] — link to an orgThis makes relationships explicit and searchable.
User says: "Hey, I just met this guy called Raven Duran. He's positioning himself as an Agentic coder, met him at GeeksOnABeach PH last February."
Agent does:
memory_search("Raven Duran") → no resultsskills/brain/templates/person.mdbrain/people/raven-duran.md with filled templatebrain/events/geeksonabeach-ph-2026.md and linkUser says: "The Raven Duran guy, he's still 26 years old"
Agent does:
memory_search("Raven Duran") → finds brain/people/raven-duran.mdmemory_get("brain/people/raven-duran.md"), update age: 26 in frontmatter- **2026-02-21**: Confirmed still 26 years oldlast_updated fieldBrain entries can have attachments: photos, PDFs, videos, audio, transcripts, etc.
When user sends ANY media (photos, audio, video, PDF) related to a brain entry:
attachments/ — this is NON-NEGOTIABLE"Saved" means the FILE exists in attachments/, not just that content was transcribed.
# REQUIRED: Copy the file
cp /path/to/inbound/media.jpg brain/places/entry/attachments/descriptive-name.jpg
If you transcribed content but didn't save the file → YOU DID IT WRONG. Go back and save it.
Flat file (no attachments):
brain/places/manam.md
Folder structure (with attachments):
brain/places/mamou-prime-sm-podium/
mamou-prime-sm-podium.md # Profile (keeps original name)
attachments/
index.md # Describes each attachment
menu-page-1.jpg
menu-page-2.jpg
receipt.pdf
storefront.mp4
attachments/index.md)# Attachments
| File | Description | Added |
|------|-------------|-------|
| menu-page-1.jpg | Menu first page, mains section | 2026-02-21 |
| menu-page-2.jpg | Menu second page, desserts | 2026-02-21 |
| receipt.pdf | Receipt from Feb visit, ₱2,400 | 2026-02-21 |
| storefront.mp4 | Quick video of the entrance | 2026-02-21 |
QMD (if enabled) indexes this file, making attachments searchable by description.
When user sends media about an entity (e.g., "Here's the menu for Mamou Prime"):
Find the entry — memory_search("Mamou Prime") → brain/places/mamou-prime-sm-podium.md
Convert to folder structure (if flat file):
# Create folder
mkdir -p brain/places/mamou-prime-sm-podium/attachments
# Move profile into folder
mv brain/places/mamou-prime-sm-podium.md brain/places/mamou-prime-sm-podium/
# Create attachments index
touch brain/places/mamou-prime-sm-podium/attachments/index.md
Save media to attachments/ with descriptive filename
Update attachments/index.md with file description
Do BOTH:
attachments/The text is searchable and processable. The originals are preserved artifacts.
Never discard attachments unless user explicitly says "cleanup", "remove", or "delete" the files.
Example: User sends menu photos
attachments/menu-1.jpg, menu-2.jpgattachments/index.mdWrong: Only transcribing without saving originals
Be descriptive — the index provides context:
menu-1.jpg, menu-2.jpgbusiness-card.jpgproduct-demo.mp4meeting-transcript.mdvoice-memo-2026-02-21.mp3User sends: 2 photos with message "Menu at Mamou Prime"
Agent does:
brain/places/mamou-prime-sm-podium.md via memory_search("Mamou Prime")attachments/menu-1.jpg, attachments/menu-2.jpgattachments/index.md:
# Attachments
| File | Description | Added |
|------|-------------|-------|
| menu-1.jpg | Menu page 1 (transcribed to profile) | 2026-02-21 |
| menu-2.jpg | Menu page 2 (transcribed to profile) | 2026-02-21 |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token,保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
日本語の概要は準備中です。原文の説明を表示しています。
Use cheap, TEE-verified AI models from the 0G Compute Network as OpenClaw providers. Discover available models and compare pricing vs OpenRouter, verify provider integrity via hardware attestation (Intel TDX), manage your 0G wallet and sub-accounts, and configure models in OpenClaw with one workflow. Supports DeepSeek, GLM-5, Qwen, and other models available on the 0G marketplace.
日本語の概要は準備中です。原文の説明を表示しています。
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.
日本語の概要は準備中です。原文の説明を表示しています。
Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
日本語の概要は準備中です。原文の説明を表示しています。
Find and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, check earnings or wallet balance, or set up as a 0xWork worker. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: posting tasks (use the website), managing the 0xWork platform, or frontend development.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and practices that dramatically accelerate development velocity. Covers parallel execution, automation, feedback loops, workflow optimization, and anti-pattern avoidance. Use when starting projects, planning sprints, optimizing workflows, or onboarding developers.
日本語の概要は準備中です。原文の説明を表示しています。