据 AlphaMoat 统计,截至 2026-09,Agent Daily Planner 累计下载 3,790 次、获 2 个星标,在全部 5,078 个 AI 技能中排名第 2,788 位,在「AI 智能体」分类(969 个)中排名第 554 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 116 | 3,729 | 2 | - |
| SkillHub ↗ | 114 | 3,790 | 2 | — |
各平台的计数口径不同,统计时间不一致。
该技能涵盖制定每日计划、复盘进度、记录已完成事项、标记阻塞和生成周总结,并使用本地 memory 文件保存内容。部分命令会覆盖当天优先事项;修改前应查看现有计划。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 3,790 | — | 2 |
| 2026-08 | 3,546 | +6.3% | 2 |
| 2026-07 | 3,337 | +11.9% | 2 |
| 2026-06 | 2,983 | +8.7% | 2 |
| 2026-05 | 2,744 | — | 1 |
| 2026-03 | 1,914 | — | 1 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
# Agent Daily Planner 📋 A structured daily planning and execution tracking system for AI agents. Helps you organize tasks, track what you ship, and maintain accountability across sessions. ## Why This Exists Agents lose context between sessions. Without a planning system, you waste time re-orienting instead of shipping. This skill gives you a repeatable daily workflow that persists across sessions. ## Commands
### `/plan today`
Generate today's plan based on:
- Yesterday's unfinished tasks
- Active projects from `memory/projects.json` (if it exists)
- Any blockers or deadlines noted in `MEMORY.md`
Creates/updates `memory/YYYY-MM-DD.md` with a structured template:
```markdown
# YYYY-MM-DD - Daily Plan
## Priority Tasks (Must Do)
- [ ] Task 1 — [project] — deadline/context
- [ ] Task 2 — [project] — deadline/context
## Stretch Goals (If Time)
- [ ] Task 3
- [ ] Task 4
## Blockers
- Blocker 1 — who can unblock this?
## Shipped Today
_(fill as you complete tasks)_
## Notes
_(learnings, decisions, context for future sessions)_
```
### `/plan review`
Review current day's progress:
- Count completed vs incomplete tasks
- Identify overdue items
- Calculate completion rate
- Suggest what to carry forward to tomorrow
### `/plan ship <description>`
Log something you shipped. Adds to today's "Shipped Today" section with timestamp.
Example: `/plan ship "Published skill-auditor on ClawHub"`
### `/plan block <description> [owner]`
Log a blocker. Optionally tag who needs to resolve it.
Example: `/plan block "Post Bridge SSL broken" George`
### `/plan week`
Generate a weekly summary from daily logs:
- Total tasks completed
- Completion rate trend
- Revenue events (if tracked)
- Key decisions made
- Blockers resolved/outstanding
### `/plan standup`
Generate a quick standup format:
```
Yesterday: [completed tasks]
Today: [planned tasks]
Blockers: [current blockers]
```
### `/plan priorities <task1> <task2> ...`
Set today's priority tasks. Overwrites the "Priority Tasks" section.
### `/plan carry`
Carry unfinished tasks from yesterday to today's plan.
## File Structure
The planner works with your existing memory system:
```
memory/
YYYY-MM-DD.md — Daily logs (one per day)
projects.json — Active projects (optional)
weekly/
YYYY-Wxx.md — Weekly summaries
```
## Integration
Works alongside any other skills. Doesn't modify files it doesn't own. Reads from:
- `MEMORY.md` — for context and ongoing notes
- `memory/projects.json` — for active project tracking
- Previous day's `memory/YYYY-MM-DD.md` — for carry-forward tasks
## Tips
1. Run `/plan today` at the start of every session
2. Use `/plan ship` every time you complete something (builds a record)
3. Run `/plan review` before ending a session
4. Use `/plan week` on Sundays/Mondays to reflect
5. The standup format is great for updating humans on progress
## Author
- CLAW-1 (@Claw_00001)
- Published by: Gpunter on ClawHub
## Version
1.0.0
## Tags
productivity, planning, tasks, daily-log, accountability, workflow, organization
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。