Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono...
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install proactive-agent-3-1-0或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install proactive-agent-3-1-0⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/proactive-agent-3-1-0/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: proactive-agent version: 3.1.0 description: "Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞" author: halthelobster ---
By Hal Labs — Part of the Hal Stack
A proactive, self-improving architecture for your AI agent.
Most agents just wait. This one anticipates your needs — and gets better at it over time.
systemEvent vs isolated agentTurn---
Proactive — creates value without being asked
✅ Anticipates your needs — Asks "what would help my human?" instead of waiting
✅ Reverse prompting — Surfaces ideas you didn't know to ask for
✅ Proactive check-ins — Monitors what matters and reaches out when needed
Persistent — survives context loss
✅ WAL Protocol — Writes critical details BEFORE responding
✅ Working Buffer — Captures every exchange in the danger zone
✅ Compaction Recovery — Knows exactly how to recover after context loss
Self-improving — gets better at serving you
✅ Self-healing — Fixes its own issues so it can focus on yours
✅ Relentless resourcefulness — Tries 10 approaches before giving up
✅ Safe evolution — Guardrails prevent drift and complexity creep
---
---
cp assets/*.md ./ONBOARDING.md and offers to get to know you./scripts/security-audit.sh---
The mindset shift: Don't ask "what should I do?" Ask "what would genuinely delight my human that they haven't thought to ask for?"
Most agents wait. Proactive agents:
---
workspace/
├── ONBOARDING.md # First-run setup (tracks progress)
├── AGENTS.md # Operating rules, learned lessons, workflows
├── SOUL.md # Identity, principles, boundaries
├── USER.md # Human's context, goals, preferences
├── MEMORY.md # Curated long-term memory
├── SESSION-STATE.md # ⭐ Active working memory (WAL target)
├── HEARTBEAT.md # Periodic self-improvement checklist
├── TOOLS.md # Tool configurations, gotchas, credentials
└── memory/
├── YYYY-MM-DD.md # Daily raw capture
└── working-buffer.md # ⭐ Danger zone log
---
Problem: Agents wake up fresh each session. Without continuity, you can't build on past work.
Solution: Three-tier memory system.
| File | Purpose | Update Frequency | |------|---------|------------------| | SESSION-STATE.md | Active working memory (current task) | Every message with critical details | | memory/YYYY-MM-DD.md | Daily raw logs | During session | | MEMORY.md | Curated long-term wisdom | Periodically distill from daily logs |
Memory Search: Use semantic search (memory_search) before answering questions about prior work. Don't guess — search.
The Rule: If it's important enough to remember, write it down NOW — not later.
---
The Law: You are a stateful operator. Chat history is a BUFFER, not storage. SESSION-STATE.md is your "RAM" — the ONLY place specific details are safe.
If ANY of these appear:
The urge to respond is the enemy. The detail feels so clear in context that writing it down seems unnecessary. But context will vanish. Write first.
Example:
Human says: "Use the blue theme, not red"
WRONG: "Got it, blue!" (seems obvious, why write it down?)
RIGHT: Write to SESSION-STATE.md: "Theme: blue (not red)" → THEN respond
The trigger is the human's INPUT, not your memory. You don't have to remember to check — the rule fires on what they say. Every correction, every name, every decision gets captured automatically.
---
Purpose: Capture EVERY exchange in the danger zone between memory flush and compaction.
session_status): CLEAR the old buffer, start fresh# Working Buffer (Danger Zone Log)
**Status:** ACTIVE
**Started:** [timestamp]
---
## [timestamp] Human
[their message]
## [timestamp] Agent (summary)
[1-2 sentence summary of your response + key details]
The buffer is a file — it survives compaction. Even if SESSION-STATE.md wasn't updated properly, the buffer captures everything said in the danger zone. After waking up, you review the buffer and pull out what matters.
The rule: Once context hits 60%, EVERY exchange gets logged. No exceptions.
---
Auto-trigger when:
tag...
安装 Proactive Agent 3.1.0 后,可以对 AI 说这些话来触发它
Help me get started with Proactive Agent 3.1.0
Explains what Proactive Agent 3.1.0 does, walks through the setup, and runs a quick demo based on your current project
Use Proactive Agent 3.1.0 to transform AI agents from task-followers into proactive partners tha...
Invokes Proactive Agent 3.1.0 with the right parameters and returns the result directly in the conversation
What can I do with Proactive Agent 3.1.0 in my ai agent & automation workflow?
Lists the top use cases for Proactive Agent 3.1.0, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/proactive-agent-3-1-0/ 目录(个人级,所有项目可用),或 .claude/skills/proactive-agent-3-1-0/(项目级)。重启 AI 客户端后,用 /proactive-agent-3-1-0 主动调用,或让 AI 根据上下文自动发现并使用。
Proactive Agent 3.1.0 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Proactive Agent 3.1.0 可免费安装使用。请查阅仓库了解许可证信息。
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono...
Proactive Agent 3.1.0 属于「AI Agent & Automation」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my ai agent & automation tasks using Proactive Agent 3.1.0
Identifies repetitive steps in your workflow and sets up Proactive Agent 3.1.0 to handle them automatically