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proactive-claw主动爪

Agent Skill

proactive-claw 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:proactive-claw(主动爪)
来源仓库:https://github.com/googlarz/proactive-claw
安装命令:
openclaw skills install proactive-claw
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 proactive-claw

简介

🦞 OpenClaw 最强大的主动引擎。您的私人助理可以向您学习并帮助您提高工作效率。

SKILL.md

name
Proactive Claw
description
>
version
1.2.41
metadata
openclaw
requires
bins
[python3]
config
[credentials.json, config.json]
install
label
Run scripts/setup.sh --doctor, install required deps manually, then run scripts/setup.sh

🦞 Proactive Claw

Proactive Claw is a proactive execution engine that collaborates with you and learns from you.

It helps you be more productive by making smart suggestions at the right moment — and (by default) only applying what you approve.

Everything can run locally.


Safety in one glance ✅

✅ Asks before applying changes (default) ✅ Writes only what you approve (no surprise calendar edits) ✅ Local-first core bundle (no external integration helpers) ✅ Everything can run locally (small/local scoring model recommended) ✅ Local state folder is transparent and deletable


Why people install it (what you feel in week 1)

  • You show up prepared more often.
  • Your calendar becomes more realistic (buffers appear where they matter).
  • Deep work blocks stop getting shredded by “just one quick meeting.”
  • Follow-ups stop slipping.
  • Proactive Claw learns your style quickly:

prep durations, preferred times, what you reject, what you always accept.

In short: it becomes your personal assistant.


Graph A — the simple loop (how it works at a glance)

+--------------------------+        +--------------------------+
| Calendar                 |        | Chat                     |
| Google Calendar/Nextcloud|        | (your control loop)      |
+------------+-------------+        +------------+-------------+
             |  events <-> suggestions           | prompts <-> decisions
             |                                   |
             +-------------------+---------------+
                                 |
                                 v
                  +--------------------------------------+
                  |            Proactive Claw             |
                  |  - notices what's coming              |
                  |  - prioritizes what matters           |
                  |  - suggests prep / buffers / followup |
                  |  - learns from your feedback          |
                  |  - applies only what you approve      |
                  +--------------------------------------+

Key idea: Proactive Claw is proactive, but you remain the decision-maker (by default).


Quick start (2 minutes)

1) Run readiness checks:

bash scripts/setup.sh --doctor

2) If dependencies are missing, print one install command:

bash scripts/setup.sh --print-install-cmd google
# or: bash scripts/setup.sh --print-install-cmd nextcloud

3) Bootstrap calendar connection:

bash scripts/setup.sh

4) Run a safe preview:

bash scripts/quickstart.sh

5) Approve a suggestion in chat, then run once:

python3 scripts/daemon.py

Modes (choose your vibe)

  • Suggest (default): asks before applying changes (max_autonomy_level=confirm)
  • Background (manual): run local daemon yourself (python3 scripts/daemon.py --loop)
  • Autonomous (advanced): explicit opt-in only (not recommended until you’ve used it for a while)

Presets (easy setup)

You don’t need to tune dozens of settings. Pick a preset.

Presets are just a starting point. Proactive Claw adjusts to you with every interaction (approvals, edits, rejections), and quickly becomes personal.

A) Calm mode (minimal interruptions)

Choose this if you want only high-value suggestions.

  • fewer prompts
  • only important events get prep/buffers

B) Builder mode (deep work protected)

Choose this if you code/build and need long focus blocks.

  • defends 2–3h deep work windows
  • suggests moving meetings that fragment focus
  • stronger buffers + recovery time

C) Meetings-heavy week

Choose this when your schedule is packed.

  • adds buffers + reset breaks
  • prevents back-to-back collapse
  • proposes follow-ups so action doesn’t slip

(If you want, these presets can be expressed as a small copy/paste block in config.json.)


Chat scoring model (built-in; small/local recommended)

Proactive Claw includes a chat scoring model to rank signals (importance, urgency, disruption risk) so it knows:

  • what matters,
  • when to ask you,
  • and when to stay quiet.

Recommendation: use a small model, ideally local (fast, cheap, private). Your planning model can be bigger; scoring should stay small and fast.


Scenarios (mini transcripts)

1) Presentation tomorrow → prep + buffer

You: Tomorrow I’m presenting the roadmap to the board. Claw (score = 0.92): High impact. You usually prep ~70 minutes for presentations. Claw: Want me to reserve 08:40–09:50 for prep + a 10-min buffer before the 10:00 meeting?

2) Deep work protection (developer mode)

Claw (score = 0.78): This meeting would split your deep work block (09:30–12:00). Claw: Prefer to move it to 13:00, or keep it and add a 20-min recovery buffer after?

3) Back-to-back day → buffers + reset

Claw (score = 0.81): Tomorrow is back-to-back from 10:00–14:00. Claw: Add 10-min buffers between meetings + a 25-min reset break around midday?

4) Follow-up that tends to slip

You: I promised I’ll send the summary. Claw (score = 0.66): Time-sensitive. Claw: Want a 20-min follow-up block right after the meeting (or at 17:10)?

5) It becomes personal fast (recurring pattern)

Claw (score = 0.71): I’ve noticed a pattern for “Client Review” meetings:

  • you prefer 30-min prep the same day
  • 10-min buffer before
  • no meetings after 18:00

Claw: Want me to propose this pattern whenever a new “Client Review” appears (still asking you to approve)?


Graph B — technical architecture (backend = Google OR Nextcloud)

TECHNICAL ARCHITECTURE (backend = Google OR Nextcloud)

             +----------------------------------------------+
             |        Calendar backend (choose ONE)         |
             |  +-----------------------+  OR  +----------+ |
             |  | Google (OAuth/API)    |      | Nextcloud| |
             |  +-----------------------+      | (CalDAV) | |
             |                                 +----------+ |
             +-----------------------+----------------------+
                                     ^
        events / changes (propose+apply, Actions only)       |
                                     |
                                     v
+----------------------+      +------------------------------------------+      +----------------------+
|  OpenClaw Chat UI    | <--> |           Proactive Claw Core            | <--> |  Local state         |
| prompts <-> decisions|      | 1) Ingest: events + chat signals         |      | config/token/SQLite  |
| feedback loop        |      | 2) Score: urgency/importance (local rec) |      | logs (optional)      |
+----------------------+      | 3) Plan : prep + buffers + follow-ups    |      +----------------------+
                              | 4) Approve (default): ask/confirm in chat|
                              | 5) Apply : write approved changes        |
                              | 6) Learn : from your approvals/edits     |
                              +------------------------------------------+
                                     ^
                                     |
                           Optional (explicit opt-in)
                                     |
                                     v
                              +----------------------+
                              | Optional daemon      |
                              | periodic scan/suggest|
                              +----------------------+

Setup

0) Requirements

  • python3 available on your machine
  • Google backend: credentials.json (OAuth client)

OR

  • Nextcloud backend: CalDAV URL + app password (or token)

1) Validate dependencies + bootstrap config

bash scripts/setup.sh --doctor
bash scripts/setup.sh --print-install-cmd google
# install dependencies manually
bash scripts/setup.sh

2) Choose your calendar backend

Option A — Google Calendar (OAuth)

You provide:

  • credentials.json (OAuth client)

Proactive Claw creates:

  • token.json after OAuth

Option B — Nextcloud (CalDAV)

You provide:

  • CalDAV base URL
  • app password

3) Configure behavior

Interactive wizard:

python3 scripts/config_wizard.py

Safe defaults:

python3 scripts/config_wizard.py --defaults

4) Core boundaries (this package)

  • Includes: scripts/daemon.py for manual local runs.
  • Excludes from published bundle: cross-skill connectors, team awareness, daemon installers, optional remote OAuth bootstrap, voice bridge, and llm rater.
  • No background installer is shipped in this package.

FAQ

Will this mess up my calendar?

By default: no. Proactive Claw suggests changes in chat and applies only what you approve (max_autonomy_level = confirm).

Where does it store data?

Locally under: ~/.openclaw/workspace/skills/proactive-claw/

Does everything run locally?

Yes — it can. The scoring model is recommended to be small/local. The calendar backend still connects to your chosen provider because that’s where your calendar lives.

Can I use it without Google?

Yes — use Nextcloud (CalDAV).

Does core include daemon installer helpers?

No. Core includes scripts/daemon.py for manual runs. No launchd/systemd installer is published in this package.

What does “learning” mean here?

It learns your preferences from your approvals/edits over time: prep durations, preferred times, buffer sizes, meeting types that matter, and deep work rules.

What is the chat scoring model?

A lightweight model that assigns numeric scores (e.g., 0.66, 0.92) to decide what matters and when to prompt you. Recommended: small/local model.


Troubleshooting (by symptom)

  • “Too many prompts” → use Calm mode; reject a few times; it will adapt
  • “Not proactive enough” → run python3 scripts/daemon.py --loop for continuous local scanning
  • “Prep blocks are wrong length” → edit them twice; it will converge
  • “OAuth issues” → re-run setup; revoke token and re-auth if needed

Uninstall

1) Delete: ~/.openclaw/workspace/skills/proactive-claw/ 2) Revoke Google OAuth access if you used Google: myaccount.google.com/permissions


Glossary

  • Prep block: time reserved before an event to prepare
  • Buffer: short gap that prevents schedule collisions
  • Deep work: uninterrupted focus block
  • Daemon: background loop process (python3 scripts/daemon.py --loop)
  • Score: 0–1 number indicating importance/urgency

To improve this 100×, here’s what would help:

1) Your config key list (or config.example.json) so I can turn presets into copy/paste blocks safely. 2) Whether you want scores displayed as 0.92 or 92/100 (both numeric; one is friendlier). 3) If you want an “Advanced” section for autonomous mode or prefer to keep it out of the main doc.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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执行命令

安装流程涉及命令执行,可能通过 openclaw skills install proactive-claw 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

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