小白指挥AI开发之怎么派活

SKILLAI 工具
AI 工具 未标注权限 许可证不明确
安装这个技能

把活交给缺上下文的执行者时使用——便宜的 AI、子会话、外包、新来的同事(让 Codex 跑、派给子会话、带新人),以及决定哪些自己做哪些派出去时。按上下文依赖度切分:语义、边界、决策、验收留在懂的一侧;执行拆成五要素任务卡(负责/不负责/输入契约/输出物/验收),让称职的陌生人只凭卡片就能做对;回执必验收才算闭环。/ Use when handing work to an executor who lacks this session's context — a cheaper AI, a sub-session, a contractor, or a new teammate. High-context judgment stays; execution ships as self-contained work packages with explicit boundaries. Expensive context does thinking, cheap execution does legwork, receipts close the loop.

一句话选型结论

按资料字段整理

小白指挥AI开发之怎么派活是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_f274b691/packaging-low-context-work
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_f274b691仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验2026-11-06上游最后核验时间 · 数据更新 2026-11-06
正文体量7.6 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
小白指挥AI开发之怎么派活当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

7.6 KB
模型实际读到的说明书原文,来自技能仓库

Packaging Low-Context Work

Core Rule

Context is the expensive asset. The side that holds it (this session, the product owner's head) does what only context can do — define semantics, set boundaries, make judgment calls, write acceptance criteria. Everything else ships out as work packages an executor can complete without understanding the whole project. Never solve a context gap by making the executor "read everything first" — the long onboarding chain (讲解→理解→拆解→实现) is exactly the cost this skill deletes; solve it by packaging the context they need into the task itself.

The economics corollary for AI executors: expensive-context sessions must not burn themselves on legwork. Reading long files end-to-end, sweeping directories, running investigations, collecting evidence — write a clear task (读什么、核什么、产出什么格式) and send it to a cheap executor; keep only judgment-critical excerpts for direct reading.

What Stays vs. What Ships

Stays with context Ships as packages
Object vocabulary, domain semantics, boundary judgments Engineering skeletons, scaffolding, generic components
Spec, contracts, acceptance criteria Mock APIs, list/detail page frames, display components
Decisions and trade-offs Investigations with defined output format
Receipt verification and integration Evidence collection, file sweeps, mechanical transforms

Litmus test for shippability: could a competent stranger complete this correctly using only the card? No → the card is missing context or the task still contains a judgment call; split the judgment out, then ship the rest.

The Work Package Format

One package = one goal, carrying 3–5 task cards. Every card answers:

  1. 负责范围 — exactly what this card owns
  2. 不负责范围 — adjacent things it must NOT touch (the leash that keeps low-context work safe)
  3. 输入契约 — the interfaces, data shapes, and facts it may rely on, stated in the card, not "in the repo somewhere"
  4. 输出物 — concrete deliverables and their format
  5. 验收标准 — how the context-rich side will check it without re-doing it

A card that can't state its 输入契约 isn't ready to ship — the contract work comes first, on the context-rich side.

Never Ship These

Do not delegate to low-context executors: domain object modeling, semantic boundary judgments (what counts as X, where Y ends), naming that encodes business meaning, trade-off decisions, or anything whose correctness only context can evaluate. Shipping judgment calls to executors produces confident wrong answers that cost more to detect than the delegation saved.

Closing the Loop

Delegation ends at verification, not at hand-off. The context-rich side checks each receipt against the card's acceptance criteria — spot-checking claims against artifacts, not re-performing the work. An unverified receipt is an open task wearing a "done" costume. Integration across packages (does card 3's output actually fit card 1's interface?) is context-rich work; never assume executors converged.

Edge Handling

  • A card keeps failing the litmus test after two rewrites: the task still contains a judgment call — split the judgment out or keep the whole task; never ship the card anyway.
  • The executor asks questions mid-card: answering is normal; the same type of question recurring across executors means the card template is missing a field — fix the template, not the executor.
  • The receipt shows work outside 不负责范围: run the overreach protocol (compose with a completion-audit skill if installed) — disclosed-and-conservative may be ratified, anything else reverts; never silently merge.
  • No delegation actually planned: cards are for work that will leave your hands — writing five-field cards for work you'll do yourself in two minutes is ceremony, skip it.
  • The work is pure judgment (naming, trade-offs, semantic boundaries): don't force it into a card — it stays with context, whole.

Worked examples including a bad-card diagnosis are in references/examples.md.

Example

Wrong: 「你先把这三份产品文档和历史方案读完,理解我们的权益模型,然后把开通流程做了。」

Right — one package, three cards:

> 卡1(骨架):搭建开通流程页框架。负责:路由、布局、空态。不负责:任何业务判断、权益计算。输入契约:页面结构见附图,接口按卡2的 mock 契约。输出:可运行骨架。验收:四个状态页可切换,不含写死业务数据。
> 卡2(mock API):按附带的接口契约草案实现 mockApi。负责:六种响应状态模拟。不负责:修改契约字段(发现问题回报,不自行调整)。验收:契约字段逐一对照。
> 卡3(调查):盘点现有系统的开通入口。负责:列出入口清单(路径/触发条件/所属模块,表格格式)。不负责:判断哪些该保留。验收:每行有源码位置佐证。
>
> 权益模型语义、契约定稿、哪些入口保留——留在总控侧,不在任何卡里。

Common Rationalizations

Rationalization Required response
"Faster to do it myself than write the card." True once; false at scale — and 'myself' is often the expensive context burning on legwork.
"The executor is smart; they'll figure out the context." Smart + low-context = confident wrong answers on semantic questions; package the context or keep the judgment.
"Let them read the docs first so they understand everything." The long onboarding chain is the cost being deleted; ship context in the card, not as prerequisite reading.
"The receipt says done, and I wrote the card, so it's done." Cards bound the work; verification closes it. Unverified receipts are open tasks.
"This judgment call is small; bundle it into the card." Small judgment calls are where low-context executors fail silently; split them out.

Guardrails

  • Package boundaries are safety boundaries: 不负责范围 is as load-bearing as 负责范围 — a card without a leash invites scope creep by the executor.
  • Don't over-fragment: 3–5 cards per package; ten one-line cards puts the integration burden back on the context-rich side.
  • The economics rule serves quality, not laziness: judgment-critical excerpts still get read directly by the context-rich side.
  • Compose with dispatch/receipt protocols when installed (authorization ladders, receipt formats); this skill governs what to package, not the transport.

常见问题

5 问
答案由本站依据条目字段整理
小白指挥AI开发之怎么派活怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_f274b691/packaging-low-context-work。安装方式为未标注。装完刷新技能列表或重开客户端。

小白指挥AI开发之怎么派活支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

小白指挥AI开发之怎么派活权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

小白指挥AI开发之怎么派活收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

小白指挥AI开发之怎么派活用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

热门专题

按场景挑技能
全部专题 →

技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 2026-11-06。