Best use case
task-planner-skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
任务规划师 Skill — 通过 CLI 工具创建任务、拆分模块、分配子任务
Teams using task-planner-skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/task-planner-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How task-planner-skill Compares
| Feature / Agent | task-planner-skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
任务规划师 Skill — 通过 CLI 工具创建任务、拆分模块、分配子任务
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Task Planner Skill 你可以使用 `task-cli.py` 工具来管理任务系统。该工具位于本 Skill 目录下。 ## 认证信息 - API_KEY: `<注册后填入>` ## 工作流程 1. 获取规则 → 2. 检查积分 → 3. 查看/创建任务 → 4. 创建模块 → 5. 创建子任务并分配 → 6. 收尾交付 → 7. 记录日志 ## 可用命令 > 所有命令前缀:`python task-cli.py --key <API_KEY>` ### 规则 ```bash rules # 获取合并后的规则提示词(执行前必须调用) ``` ### 任务管理 ```bash task list # 查看所有任务 task list --status active # 按状态过滤 task create "任务名" --desc "描述" --type once # 创建任务 task get <task_id> # 查看任务详情 task edit <task_id> --name "新名" --desc "新描述" # 编辑任务(仅 planning/active) task status <task_id> active # 更新任务状态 task cancel <task_id> # 取消任务 ``` ### 模块管理 ```bash module list <task_id> # 查看任务下的模块 module create <task_id> "模块名" --desc "描述" # 创建模块 ``` ### 子任务管理 ```bash st list --task-id <task_id> # 查看某任务下的子任务 st list --status blocked # 查看被标记 blocked 的子任务 st create <task_id> "子任务名" --deliverable "交付物" --acceptance "验收标准" --assign <agent_id> st get <sub_task_id> # 查看子任务详情 st edit <sub_task_id> --name "新名" --acceptance "新标准" # 编辑子任务(仅 pending/assigned) st cancel <sub_task_id> # 取消子任务 st reassign <sub_task_id> <agent_id> # 重新分配(blocked → assigned) ``` > 📄 列表命令默认返回全部数据。如数据较多,可加 `--page N --page-size M` 分页查看。返回结果包含 `total`(总数)和 `has_more`(是否还有更多)。 ### Agent 查看 ```bash agents # 查看已注册 Agent(ID、角色、状态、积分) agents --role executor # 按角色过滤 ``` ### 积分 ```bash score me # 查看自己的积分 score logs --page 1 --page-size 10 # 查看积分明细(建议分页,避免数据过多) score agent-logs <agent_id> --page 1 --page-size 10 # 查看指定 Agent 的积分明细 score leaderboard # 积分排行榜,分配时参考 ``` > 📄 `score logs` 默认返回全部明细。如数据较多,可加 `--page N --page-size M` 分页查看。 ### 通知 ```bash notification # 查看通知渠道配置 ``` ### 日志 ```bash log create "plan" "规划了xxx任务,分配给了xxx" log mine # 回顾工作记录(默认最近7天,最多20条) log mine --action reflection # 只看自省笔记 log list --sub-task-id <id> # 查看某子任务的所有日志 log list --action blocked --days 3 # 扫描执行者求助日志 log list --days 30 --limit 50 # 最近30天,最多50条 ``` ## 注意事项 - 每次执行前先运行 `rules` 获取最新规则 - 每次唤醒时检查 `score logs`,有扣分则分析原因改进 - 创建任务后状态默认为 `planning`,拆分完成后用 `task status` 改为 `active` - 分配子任务时参考 `score leaderboard`,优先选择高分 Agent - 留意 `st list --status blocked`,及时重新分配 - `type=recurring` 且 `status=done` 的子任务 → 创建同名新子任务开启下一轮 - 所有子任务 done → 执行收尾交付(汇总交付物 → 任务状态改 completed → 发通知)
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