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Agent Skill · 研究检索

para-second-brain(第二大脑)

para-second-brain 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

para-second-brain 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 582。

总安装 229,407周安装 9,191GitHub Stars 51下载 74,263核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:para-second-brain(第二大脑)
来源仓库:https://github.com/halthelobster/para-second-brain
安装命令:
openclaw skills install para-second-brain
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install para-second-brain

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

使用 PARA(项目、区域、资源、档案)组织代理的知识 — 然后使其全部可搜索。符号链接技巧可以在整个知识库中进行完整的语义搜索,而不仅仅是 MEMORY.md。包括会话记录索引和内存刷新协议。你的特工终于拥有了真正的第二大脑。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install para-second-brain;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

para-second-brain 怎么安装?

在终端执行 openclaw skills install para-second-brain。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

para-second-brain 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

para-second-brain 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

para-second-brain 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

para-second-brain 用的人多吗?

公开数据是累计安装 229,407 次,近一周安装 9,191 次,下载 74,263 次,GitHub 51 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

para-second-brain 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
para-second-brain

第二大脑 · 本页

229,40751接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
para-second-brain
version
2.0.1
description
Organize your agent's knowledge using PARA (Projects, Areas, Resources, Archive) — then make it ALL searchable. The symlink trick enables full semantic search across your entire knowledge base, not just MEMORY.md. Includes session transcript indexing and memory flush protocol. Your agent finally has a real second brain.

PARA Second Brain

Your agent's memory just got a massive upgrade. Full semantic search across your entire knowledge base — not just MEMORY.md.

What's New in v2.0

Before v2.0: memory_search only found content in MEMORY.md and daily logs. Your entire notes/ folder was invisible to search. You had to manually know where to look.

After v2.0: One symlink command makes your entire PARA knowledge base searchable. Ask about anything in your notes — it finds it. Plus session transcripts and memory flush protocol to prevent context loss.

BeforeAfter
Search only MEMORY.md + daily logsSearch EVERYTHING
"I don't have that information"Finds it instantly
Context compaction = lost informationFlush protocol saves critical context
Conversations forgottenSession transcripts indexed

What This Does

Creates a "second brain" structure that separates:

  • Raw capture (daily logs) from curated knowledge (MEMORY.md)
  • Active work (projects) from ongoing responsibilities (areas)
  • Reference material (resources) from completed work (archive)

How This Differs from Other Second Brain Skills

There's another popular second-brain skill powered by Ensue. Both are great — they solve different problems:

PARA Second Brain (this skill)Ensue Second Brain
StorageLocal files in your workspaceCloud API (Ensue)
CostFree, self-hostedRequires Ensue API key
Best forWork context, agent continuity, project trackingEvergreen knowledge base, semantic queries
SearchClawdbot's memory_searchEnsue's vector search
StructurePARA (Projects/Areas/Resources/Archive)Namespaces (concepts/toolbox/patterns)
Use case"What did we decide yesterday?""How does recursion work?"

Use this skill if: You want file-based memory that works offline, costs nothing, and tracks ongoing work context.

Use Ensue's skill if: You want a cloud-hosted knowledge base optimized for semantic "what do I know about X" queries.

Use both if: You want PARA for work context + Ensue for evergreen knowledge. They complement each other.

Quick Setup

1. Create Directory Structure

workspace/
├── MEMORY.md              # Curated long-term memory
├── memory/
│   └── YYYY-MM-DD.md      # Daily raw logs
└── notes/
    ├── projects/          # Active work with end dates
    ├── areas/             # Ongoing life responsibilities  
    ├── resources/         # Reference material
    │   └── templates/     # Content templates
    └── archive/           # Completed/inactive items

Run this to scaffold:

mkdir -p memory notes/projects notes/areas notes/resources/templates notes/archive

2. Make Notes Searchable (The Symlink Trick)

By default, memory_search only indexes MEMORY.md and memory/*.md. Your entire notes/ folder is invisible to semantic search!

Fix this with one command:

ln -s /path/to/your/workspace/notes /path/to/your/workspace/memory/notes

Example:

ln -s /Users/yourname/clawd/notes /Users/yourname/clawd/memory/notes

What this does: Creates a symbolic link so memory/notes/ points to your actual notes/ folder. Now Clawdbot's memory_search sees all your PARA notes.

Verify it worked:

ls -la memory/notes  # Should show: memory/notes -> /path/to/notes

Test the search: Ask your agent something that's in your notes but NOT in MEMORY.md. If it finds it, the symlink is working.

Why this matters:

BeforeAfter
Search only finds MEMORY.md + daily logsSearch finds ALL your notes
Must manually know where to lookSemantic search across everything
"I don't have that information"Finds connections you forgot existed

3. Enable Session Transcript Indexing

Make your past conversations searchable too. Add this to your Clawdbot config:

"memorySearch": {
  "sources": ["memory", "sessions"],
  "query": {
    "minScore": 0.3,
    "maxResults": 20
  }
}

What this does: Indexes your conversation transcripts alongside your notes. Now when you ask "what did we discuss about X last week?" — it can actually find it.

4. Initialize MEMORY.md

Create MEMORY.md in workspace root - this is your curated long-term memory:

# MEMORY.md — Long-Term Memory

## About [Human's Name]
- Role/occupation
- Key goals and motivations
- Communication preferences
- Important relationships

## Active Context
- Current focus areas
- Ongoing projects (summaries, not details)
- Deadlines or time-sensitive items

## Preferences & Patterns
- Tools and workflows they prefer
- Decision-making style
- Pet peeves and likes

## Lessons Learned
- What worked
- What didn't
- Principles discovered

## Key Dates
- Birthdays, anniversaries
- Recurring events
- Important milestones

5. Add to AGENTS.md

Add these instructions to your AGENTS.md:

## Memory

You wake up fresh each session. These files are your continuity:
- **Daily notes:** `memory/YYYY-MM-DD.md` — raw logs of what happened
- **Long-term:** `MEMORY.md` — curated memories (like human long-term memory)
- **Topic notes:** `notes/` — organized by PARA structure (all searchable via memory_search)

### Writing Rules
- If it has future value, write it down NOW
- Don't rely on "mental notes" — they don't survive restarts
- Text > Brain 📝

### PARA Structure
- **Projects** (`notes/projects/`) — Active work with end dates
- **Areas** (`notes/areas/`) — Ongoing responsibilities (health, finances, relationships)
- **Resources** (`notes/resources/`) — Reference material, how-tos, research
- **Archive** (`notes/archive/`) — Completed or inactive items

### Memory Flush Protocol
Monitor your context usage with `session_status`. Before compaction wipes your memory, flush important context to files:

| Context % | Action |
|-----------|--------|
| < 50% | Normal operation |
| 50-70% | Write key points after substantial exchanges |
| 70-85% | Active flushing — write everything important NOW |
| > 85% | Emergency flush — full summary before next response |
| After compaction | Note what context may have been lost |

**The rule:** Act on thresholds, not vibes. If it's important, write it down NOW.

Memory Flush Protocol (Critical!)

Your agent's context window is finite. When it fills up, older context gets compacted or lost. Don't lose important information.

How to Monitor

Run session_status periodically. Look for:

📚 Context: 36k/200k (18%) · 🧹 Compactions: 0

Threshold-Based Actions

Context %What to Do
< 50%Normal operation. Write decisions as they happen.
50-70%Increased vigilance. Write key points after each substantial exchange.
70-85%Active flushing. Write everything important to daily notes NOW.
> 85%Emergency flush. Stop and write full context summary before responding.
After compactionImmediately note what context may have been lost. Check continuity.

What to Flush

  1. Decisions made — what was decided and why
  2. Action items — who's doing what
  3. Open threads — anything unfinished → notes/areas/open-loops.md
  4. Working changes — if you discussed changes to files, make them NOW

Memory Flush Checklist

Before a long session ends or context gets high:

  • [ ] Key decisions documented?
  • [ ] Action items captured?
  • [ ] New learnings written to appropriate files?
  • [ ] Open loops noted for follow-up?
  • [ ] Could future-me continue this conversation from notes alone?

Knowledge Quality

The core question: "Will future-me thank me for this?"

What to Save

  • Concepts you actually understand (not half-learned ideas)
  • Tools you've actually used (not just heard about)
  • Patterns that worked (with concrete examples)
  • Lessons learned from mistakes

What NOT to Save

  • Half-understood concepts (learn first, save after)
  • Tools you haven't tried yet (bookmarks ≠ knowledge)
  • Shallow entries without the WHY
  • Duplicates of existing notes

Quality Gates

Before saving any curated note:

  1. Written for future self who forgot context?
  2. Includes WHY, not just WHAT?
  3. Has concrete examples or key insight?
  4. Structured for retrieval (scannable)?

Content Templates

Use these for structured, high-quality entries in notes/resources/:

Concept Template

# [CONCEPT NAME]

## What It Is
[One-line definition]

## Why It Matters
[What problem it solves, when you'd need it]

## How It Works
[Explanation with examples]

## Key Insight
[The "aha" moment — what makes this click]

Tool Template

# [TOOL NAME]

**Category:** [devtools | productivity | etc.]

## What It Does
[Brief description]

## Why I Use It
[What problem it solved for YOU]

## When to Reach For It
[Scenarios where this is the right choice]

## Gotchas
- [Things that tripped you up]

Pattern Template

# [PATTERN NAME]

## Problem
[What situation triggers this pattern]

## Solution
[The approach]

## Trade-offs
**Pros:** [Why this works]
**Cons:** [When NOT to use it]

PARA Explained

PARA is a knowledge organization system created by Tiago Forte, author of *Building a Second Brain*. It organizes everything into four categories based on actionability:

Projects

What: Work with a deadline or end state Examples: "Launch website", "Plan trip to Japan", "Finish client proposal" File as: notes/projects/website-launch.md

Areas

What: Ongoing responsibilities with no end date Examples: Health, finances, relationships, career development File as: notes/areas/health.md, notes/areas/dating.md

Resources

What: Reference material for future use Examples: Research, tutorials, templates, interesting articles File as: notes/resources/tax-guide.md, notes/resources/api-docs.md

Archive

What: Inactive items from the other categories Examples: Completed projects, outdated resources, paused areas Move to: notes/archive/ when done

Daily Log Format

Create memory/YYYY-MM-DD.md for each day:

# YYYY-MM-DD

## Key Events
- [What happened, decisions made]

## Learnings
- [What worked, what didn't]

## Open Threads
- [Carry-forward items]

The Curation Workflow

Daily (5 min)

  • Log notable events to memory/YYYY-MM-DD.md
  • File topic-specific notes to appropriate notes/ folder

Weekly (15 min)

  • Review the week's daily logs
  • Extract patterns and learnings to MEMORY.md
  • Move completed projects to archive

Monthly (30 min)

  • Review MEMORY.md for outdated info
  • Consolidate or archive old project notes
  • Ensure areas reflect current priorities

Decision Tree: Where Does This Go?

Is it about today specifically?
  → memory/YYYY-MM-DD.md

Is it a task with an end date?
  → notes/projects/

Is it an ongoing responsibility?
  → notes/areas/

Is it reference material for later?
  → notes/resources/

Is it done or no longer relevant?
  → notes/archive/

Is it a distilled lesson or preference?
  → MEMORY.md

Why Two Memory Layers?

Daily LogsMEMORY.md
Raw, timestampedCurated, organized
Everything capturedOnly what matters
ChronologicalTopical
High volumeCondensed
"What happened""What I learned"

Daily logs are your journal. MEMORY.md is your wisdom.

Principles

  1. Quality over quantity — Curated notes beat note hoarding
  2. Capture fast, curate deliberately — Daily logs are loose; curated notes are high quality
  3. Text > brain — If it matters, write it down
  4. Future-me test — "Will future-me thank me for this?"
  5. One home per item — Don't duplicate; link instead
  6. Include the WHY — Facts without context are useless
  7. Flush before you lose — Monitor context, write before compaction

*Pairs well with memory-setup for technical config and proactive-agent for behavioral patterns.*

平台分布

OpenClaw

92.47%
按下载量换算68,671

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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