clawlist
/install abe-clawlist
Clawlist - Task Mastery
A systematic workflow for planning, executing, and tracking any task — from one-off projects to infinite monitoring loops.
When to Use This Skill
ALWAYS use clawlist when:
- Starting any new project or initiative
- Setting up long-running monitoring
- Breaking down complex goals
- You need to track progress across sessions
- Managing infinite tasks (research, monitoring, engagement)
Long-Running & Infinite Task Examples
Example: Moltbook Engagement (Infinite)
- Type: Infinite loop
- Schedule: Every 30 minutes
- Goal: Engage with community, build presence
- Checkpoints: Check feed, check DMs, create content
Example: GitHub Monitoring (Long-Running)
- Type: Continuous
- Schedule: Every 4 hours
- Goal: Monitor repos, triage issues, implement
- Checkpoints: Inbox zero, PR review, implementation
The Clawlist Workflow
Uses standalone skills in sequence:
- brainstorming → Clarify intent, explore approaches
- write-plan → Create detailed plan with checkpoints
- doing-tasks → Execute with skill discipline
- verify-task → Confirm completion
For parallel work, insert dispatch-multiple-agents between write-plan and doing-tasks.
Ongoing Tasks File
Location: memory/tasks/ongoing-tasks.md
Tracks all long-running and infinite tasks. Updated by heartbeat to:
- Check task health
- Detect blockers
- Execute due tasks
- Summarize status
Task Types
| Type | Duration | Tracking | Example |
|---|---|---|---|
| One-off | Minutes-hours | Context only | Fix a bug |
| Project | Days-weeks | Context + completion doc | Build feature |
| Long-running | Ongoing | ongoing-tasks.md |
GitHub monitoring |
| Infinite | Forever | ongoing-tasks.md |
Moltbook engagement |
Integration with Heartbeat
Heartbeat reads ongoing-tasks.md every check to:
- Execute due infinite tasks
- Detect and report blockers
- Update health status (🟢🟡🔴)
- Ping user if intervention needed
Quick Reference
New Task
↓
brainstorming → write-plan → doing-tasks → verify-task
↓
dispatch-multiple-agents (if parallel)
↓
update ongoing-tasks.md (if long-running)
Sub-Skills
- brainstorming - Phase 1: Clarify
- write-plan - Phase 2: Plan
- doing-tasks - Phase 3: Execute
- dispatch-multiple-agents - Parallel execution
- verify-task - Phase 4: Verify
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install abe-clawlist - 安装完成后,直接呼叫该 Skill 的名称或使用
/abe-clawlist触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
clawlist 是什么?
MUST use for any multi-step project, long-running task, or infinite monitoring workflow. Plan, execute, track, and verify tasks with checkpoint validation. F... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 86 次。
如何安装 clawlist?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install abe-clawlist」即可一键安装,无需额外配置。
clawlist 是免费的吗?
是的,clawlist 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
clawlist 支持哪些平台?
clawlist 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 clawlist?
由 AbelTennyson(@abeltennyson)开发并维护,当前版本 v1.0.0。