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Agent Skill · 研究检索

task-planning(任务规划)

task-planning 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

task-planning 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 35,776。

总安装 2,025周安装 87GitHub Stars 11下载 710核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:task-planning(任务规划)
来源仓库:https://github.com/akillness/oh-my-skills
仓库路径:skills/task-planning
安装命令:
npx skills add https://github.com/akillness/oh-my-skills --skill task-planning
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/akillness/oh-my-skills --skill task-planning

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于将混乱需求拆解为可执行的小型规划包,支撑团队落地。覆盖 backlog 清理、功能分解与发布切片,提供就绪性检查清单。适合从 roadmap 到交付的翻译过程,强调小步验证与路由输出。

安装命令:npx skills add https://github.com/akillness/oh-my-skills --skill task-planning 使用前应确认输入是否足够具体,避免在无边界上下文中展开。

来源仓库内路径:skills/task-planning

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/akillness/oh-my-skills --skill task-planning;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

task-planning 怎么安装?

在终端执行 npx skills add https://github.com/akillness/oh-my-skills --skill task-planning。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

task-planning 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

task-planning 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

task-planning 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

task-planning 用的人多吗?

公开数据是累计安装 2,025 次,近一周安装 87 次,下载 710 次,GitHub 11 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

task-planning 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
task-planning

任务规划 · 本页

2,02511需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Task Planning

Use this skill when the job is turning messy context into one small planning packet that a team can actually act on.

task-planning is the PM front door for backlog cleanup, feature decomposition, sprint-candidate prep, release slicing, milestone packets, and roadmap-to-delivery translation before estimation, boards, review, or execution.

Core references:

When to use this skill

  • The request is too vague, too large, or too mixed to hand straight to implementation.
  • A backlog needs to be cleaned into ready vs not-ready work.
  • A roadmap item, feature, bug cluster, launch beat, or playtest finding needs execution slices.
  • A team needs one compact packet that names dependencies, blockers, and acceptance criteria.
  • The packet spans multiple disciplines: frontend/backend, PM/ops, GTM/content, or code/content/build/playtest work.
  • The key question is "what should we actually do next?" rather than "how big is it?" or "what board should we use?"

When not to use this skill

  • The main job is sizing, forecasting, or story-point language → task-estimation.
  • The work already exists and the real job is board/worktree/queue control → vibe-kanban.
  • The plan already exists and the real job is review/approval or diff markup → plannotator.
  • The main job is daily status coordination → standup-meeting.
  • The main job is reflection on completed work → sprint-retrospective.
  • The work is still concept framing, scope shaping, or game-production orchestration before decomposition → bmad, bmad-idea, or bmad-gds first.

Instructions

Step 1: Choose one intake packet

Use references/intake-packets-and-route-outs.md and pick exactly one primary packet:

task_planning_packet:
  packet: backlog-cleanup | feature-slice | sprint-candidate | release-packet | milestone-packet | discovery-first
  domain: developer-workflow | web-fullstack | product-ops | marketing-gtm | game-development | mixed
  source_material: repo/issues | prd/spec | gdd/playtest | launch-notes | chat-context | mixed | unknown
  readiness_state: mostly-ready | mixed | mostly-fuzzy
  output_shape: single-packet | slice-table-plus-not-ready | release-packet | milestone-packet | discovery-packet

Packet meanings:

  • backlog-cleanup — clarify, dedupe, and separate ready from not-ready work.
  • feature-slice — turn one feature or bug cluster into assignable slices.
  • sprint-candidate — prepare the next iteration's ready work.
  • release-packet — shape launch, rollout, campaign, or go-live work.
  • milestone-packet — coordinate cross-discipline milestone or demo work, especially for games.
  • discovery-first — expose unknowns before pretending implementation is ready.

Step 2: Gather the minimum credible evidence

Do not plan from vibes alone. Pull the smallest packet that supports decomposition:

  • goal or problem statement
  • user, business, team, or player outcome
  • current artifacts: issues, spec/PRD, GDD, launch notes, playtest notes, bug list, or chat context
  • timeline or trigger: sprint, release, milestone, event, or dependency window
  • obvious constraints: owner, platform, environment, approvals, external dependencies
  • missing details that could make the packet fake-ready

If evidence is thin, say so and choose discovery-first instead of inventing certainty.

Step 3: Split discovery from delivery early

Before you write slices, separate:

  1. Discovery — unanswered questions, validation, missing decisions
  2. Foundation — setup, architecture, shared assets, tooling, environments
  3. Delivery — user-facing or system-facing implementation slices
  4. Verification — QA, analytics, review, smoke tests, playtests, launch checks
  5. Follow-through — docs, enablement, rollout, reporting, monitoring, distribution

Do not bury research or unresolved decisions inside build tickets.

Step 4: Choose the smallest packet shape

Use references/packet-shapes.md.

Rules:

  • If the user needs one next-action set, prefer a single packet.
  • If the main need is ready vs not-ready triage, use slice table plus not-ready list.
  • If the work is tied to a launch window, use a release packet.
  • If the work is milestone-heavy and cross-discipline, use a milestone packet.
  • If the packet starts doing decomposition, estimation, board control, review, and ceremony work at once, split responsibilities and route outward.

Step 5: Build slices with readiness fields

Every slice should have:

  • title
  • outcome
  • owner role
  • dependencies
  • inputs required
  • acceptance criteria
  • risk / uncertainty
  • ready? yes / no
  • if not ready, what is missing?

Use short, testable acceptance criteria. Avoid vague statements like "works better" or "launch ready".

Step 6: Surface sequence and blockers

Explicitly name:

  • what can run in parallel
  • what must happen in order
  • what is blocked
  • what should be deferred

Use blocker buckets from references/readiness-checklist.md:

  • missing-scope
  • missing-design
  • missing-data
  • external-dependency
  • environment-access
  • approval-needed
  • cross-team-handoff

Step 7: Run the route-out check

Verify all of these:

  1. The chosen packet matches the real planning job.
  2. Discovery is separated from implementation when confidence is low.
  3. The packet does not silently absorb sizing, board control, plan review, standups, or retros.
  4. Cross-domain nuance survives without turning the output into a tutorial.
  5. The packet ends with one clear next move.

Route-outs to keep explicit:

  • sizing → task-estimation
  • board/worktree/queue control → vibe-kanban
  • plan review / approval → plannotator
  • daily coordination → standup-meeting
  • completed-work reflection → sprint-retrospective
  • concept framing / strategy shaping → bmad, bmad-idea, bmad-gds

Step 8: Return the brief or the final packet

Preferred brief shape before full drafting:

# Task Planning Brief

## Packet choice
- Packet:
- Domain:
- Why it fits:
- Output shape:

## Source material used
- Main evidence:
- Constraints / dependencies:
- Assumptions / gaps:

## Planned slices
1. slice
2. slice
3. slice

## Route-out notes
- Out of scope:
- Not-ready work kept separate:
- Recommended next move:

If the user already asked for the final artifact, return a compact planning packet directly.

Output format

Default packet shape:

# Planning Packet

## Planning horizon
- Packet:
- Domain:
- Confidence: high | medium | low

## Goal
- ...

## Assumptions
- ...

## Work slices
| Slice | Outcome | Owner role | Dependencies | Ready? |
|------|---------|------------|--------------|--------|
| ... | ... | ... | ... | yes/no |

## Slice details
### 1. [Slice name]
- Inputs required:
- Acceptance criteria:
  - [ ] ...
- Risks / uncertainty:
- Notes:

## Sequencing
1. ...
2. ...

## Blockers / not-ready items
- Bucket:
- Missing:
- Next action:

## Recommended next move
- start implementation | run discovery first | groom with owners | estimate now | defer until dependency clears

Examples

Example 1: Fullstack feature slicing

Input

Break down a new team-invite flow for our SaaS app. We need email invites, acceptance, and admin visibility before sprint planning.

Good output direction

  • packet: sprint-candidate
  • domain: web-fullstack
  • split backend/data, invite acceptance flow, admin visibility, verification, and follow-through
  • keep story points out of scope

Example 2: Backlog cleanup

Input

We have a pile of vague onboarding backlog items. Clean them up so we can see what is actually ready next week.

Good output direction

  • packet: backlog-cleanup
  • output shape: slice-table-plus-not-ready
  • mark missing scope, ownership, or approvals explicitly
  • separate discovery tickets from implementation tickets

Example 3: Marketing / launch packet

Input

Plan the next release push for our B2B launch: landing-page updates, email sequence, attribution checks, and launch-day reporting.

Good output direction

  • packet: release-packet
  • domain: marketing-gtm
  • separate asset creation, review/approval, distribution, measurement, and reporting
  • route deep copywriting/campaign execution to marketing-automation

Example 4: Game milestone packet

Input

Plan the next milestone for our roguelike demo: tutorial polish, controller support, and a streamer-ready build.

Good output direction

  • packet: milestone-packet
  • domain: game-development
  • separate code/system work, content/polish, build/QA, and playtest/distribution concerns
  • keep broader game-production orchestration routed to bmad-gds when needed

Best practices

  1. Choose one primary packet before decomposing the work.
  2. Keep discovery separate from delivery whenever requirements are unstable.
  3. Prefer small, reviewable slices over broad work categories.
  4. Surface blockers and missing inputs explicitly instead of burying them in notes.
  5. Preserve domain nuance for developer workflow, web/fullstack, product/ops, marketing/GTM, and game work without bloating the front door.
  6. Route sizing, board control, review, daily cadence, and retrospectives out instead of stretching the skill boundary.
  7. Keep the packet compact enough that a team can act on it immediately.
  8. Update compact and manifest discovery surfaces when the role wording changes materially.

References

平台分布

Claude

32.6%
按下载量换算231

Codex

31.85%
按下载量换算226

Cursor

17.58%
按下载量换算125

Gemini CLI

8.87%
按下载量换算63

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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