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Agent Skill · 研究检索

task-brief(任务简介)

task-brief 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-brief 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 61,288。

总安装 353周安装 15GitHub Stars 1下载 124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-brief(任务简介)
来源仓库:https://github.com/freeacger/loom
仓库路径:skills/task-brief
安装命令:
npx skills add https://github.com/freeacger/loom --skill task-brief
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/freeacger/loom --skill task-brief

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。

用于查找、检索和筛选相关信息。task-brief 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据关键词或任务场景快速定位候选结果。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围、维护状态及是否会触发联网或命令执行。

支持 Codex、Claude、Cursor、Gemini CLI,通过 GitHub 安装。

来源仓库内路径:skills/task-brief

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/freeacger/loom --skill task-brief;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-brief 怎么安装?

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

task-brief 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-brief 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-brief 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-brief 用的人多吗?

公开数据是累计安装 353 次,近一周安装 15 次,下载 124 次,GitHub 1 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-brief 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-brief

任务简介 · 本页

3531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 Brief

Overview

Turn a raw natural-language request into a structured task brief that another executor can use without reading the original message.

This skill is a task specification normalizer. Its job is to surface the real goal, capture the completion standard, and make critical constraints explicit. It does not do design-stage routing, task decomposition, implementation planning, or execution.

The value is straightforward: a good brief reduces misunderstanding, prevents wasted work on the wrong problem, and makes handoff cleaner for another model, agent, or human.


Core Responsibilities

task-brief should only:

  1. Restate the real user goal, not just the surface wording.
  2. Define the success criteria in observable terms.
  3. Capture the deliverables the task is expected to produce.
  4. Surface constraints that materially change execution.
  5. Record short assumptions when the user has left gaps.
  6. Ask at most one clarifying question when one critical unknown remains.
  7. Make one lightweight judgment about whether the task needs design work.

task-brief should not:

  • route the task between design skills
  • decompose the task into sub-tasks
  • draw dependency diagrams
  • write implementation steps
  • propose migration sequencing
  • default to codebase investigation just to sharpen the brief

If the real task is root-cause investigation, use systematic-debugging instead of turning task-brief into a debugging workflow.


When to Use

Trigger on:

  • requests with multiple sub-goals or unclear priority order
  • requests that span domains (for example data + UI + API)
  • requests where the stated problem may not be the real problem
  • requests that will likely be handed off to another executor
  • requests where missing context would force high-impact assumptions
  • requests where the user explicitly asks for help clarifying the task itself

Do NOT trigger on:

  • single, unambiguous actions ("delete this function", "run the tests")
  • requests where the intent is already clear and the execution path is obvious
  • follow-up messages that only refine an existing task in progress
  • requests that explicitly ask for a design tree or design-stage decomposition

If in doubt, ask this question: can an executor start correctly from the brief alone? If yes, the brief is probably sufficient.


Complexity Tiers

Classify the request into one of these tiers before writing the brief.

TierSignalResponse
DirectSingle goal, clear scope, no critical missing informationWrite a concise brief. Usually Needs Design is no.
ClarifyOne critical unknown remains, or the stated goal may be inaccurateWrite the brief first, ask exactly one clarifying question, and keep the rest minimal.
StructuredMultiple goals, cross-domain context, or a handoff-friendly brief is neededWrite the full brief, but stop at the brief. Do not decompose or route inside this skill.

Clarify has three common sub-cases:

  • *Missing parameter*: you know the goal, but one detail is missing.
  • *Ambiguous intent*: the goal could reasonably mean two substantially different things.
  • *Inaccurate goal*: the user stated a solution, symptom, or oddly scoped target instead of the underlying goal.

For inaccurate goals, detect these signals:

  1. Solution-as-goal: the user names a technique ("add Redis caching") rather than the problem it solves.
  2. Symptom-as-goal: the user names an error state ("fix timeout errors") rather than the desired outcome.
  3. Scope anomaly: the stated scope looks unnaturally narrow or broad for the problem.

When one of those signals appears:

  • rewrite the User Goal around the best-guess underlying intent
  • mark that guess as an assumption
  • ask one clarifying question that confirms the real target

Do not default to codebase search just to sharpen the question. If the task is actually debugging, route to systematic-debugging.


Output: Task Brief

Always output the brief in this format. Omit Clarifying Question if none is needed. Omit fields only when they add no value.

## Task Brief

**Task Type:** [analysis | transformation | generation | investigation | other]

**User Goal:**
[1-2 sentences. State the real intent, not the surface request. Start with a verb.]

**Success Criteria:**
- [Observable completion signal 1]
- [Observable completion signal 2]

**Deliverables:**
- [Concrete artifact 1]
- [Concrete artifact 2]

**Clarifying Question:**
[Exactly one question when one critical unknown remains. Omit this field if no question is needed.]

**Constraints:**
- Scope: [data source, file range, system boundary, etc.]
- Format: [output language, file type, response length, etc.]
- Risk: [what must not be broken, changed, or leaked]
- Other: [time range, locale, performance budget, etc.]

**Assumptions:**
- [Short inference made because the user did not specify it]

**Needs Design:** [yes | no]

Output Rendering

Keep the English field names and enum literals canonical for protocol stability.

  • English responses should render the headings in English only.
  • Chinese responses may render bilingual headings with Chinese first and English in parentheses.
  • Do not hardcode bilingual headings into this canonical English template.

Compression Rules

These rules govern how to convert a raw message into the brief.

Keep:

  • the underlying goal
  • constraints that eliminate whole categories of solutions
  • domain context that changes the execution path

Remove:

  • filler phrases
  • repeated restatements of the same goal
  • reasoning the executor does not need to act

Convert (vague -> actionable):

  • "make it better" -> identify the dimension: performance, readability, UX, security
  • "something's wrong" -> specify observed vs. expected behavior
  • "soon" / "quickly" -> ask for a concrete deadline only if it affects approach
  • "the usual format" -> infer from context or mark it as an assumption
  • "add Redis to the API" -> ask what problem the user is trying to solve

When intent is ambiguous:

  • if two substantially different interpretations are plausible, surface both explicitly
  • ask one question that forces the choice
  • defer deliverables that depend on that choice rather than guessing

Don't over-correct:

  • preserve the user's framing when it carries real intent
  • do not invent goals or constraints the user did not imply
  • if uncertain whether a detail matters, keep it and mark it as an assumption

Examples

Example 1 - Direct

User input:

"Extract all TODO comments from the codebase and output them as a markdown list grouped by file."

Task Brief:

## Task Brief

**Task Type:** transformation

**User Goal:**
Collect all TODO comments across the codebase and organize them into a readable markdown list grouped by file.

**Success Criteria:**
- The output lists TODO comments grouped by file.
- Each TODO entry includes a line number.

**Deliverables:**
- Markdown list of TODO comments grouped by file

**Constraints:**
- Scope: entire repository
- Format: markdown output

**Assumptions:**
- "TODO" means the literal string `TODO` or `TODO:`.

**Needs Design:** no

Example 2 - Clarify

User input:

"I need to migrate our auth system to JWT. Can you help me figure out what needs to change?"

Task Brief:

## Task Brief

**Task Type:** investigation

**User Goal:**
Identify what needs to change to migrate the current authentication system to JWT-based auth without mis-scoping the migration.

**Success Criteria:**
- The affected auth components are identified.
- The migration target is clear enough to begin design or impact analysis.

**Deliverables:**
- Auth migration change brief

**Clarifying Question:**
What does the current auth system use now: session cookies, a third-party identity provider, API keys, or something else?

**Constraints:**
- Scope: authentication-related behavior only
- Risk: do not assume a stateless-token migration path if the current system is session-based or third-party managed

**Assumptions:**
- JWT means standard stateless tokens rather than JWE.

**Needs Design:** yes

Example 3 - Structured

User input:

"Build me a dashboard that shows real-time sales data pulled from our Postgres DB, with a chart for daily revenue and a table for top 10 products. It should update every 30 seconds and be shareable via a link."

Task Brief:

## Task Brief

**Task Type:** generation

**User Goal:**
Build a shareable dashboard that displays live sales data from Postgres, including a daily revenue chart and a top-products table that refresh every 30 seconds.

**Success Criteria:**
- The dashboard shows daily revenue and top products from live data.
- The dashboard refreshes every 30 seconds.
- The dashboard can be accessed through a stable shareable URL.

**Deliverables:**
- Live sales dashboard

**Clarifying Question:**
Does "shareable via a link" mean publicly accessible without auth, or accessible only to authenticated users?

**Constraints:**
- Scope: dashboard behavior only
- Format: browser-based UI
- Risk: no database writes and no credential exposure in client-side code

**Assumptions:**
- The data source is an existing Postgres database with fields needed for revenue and top-product aggregation.

**Needs Design:** yes

Example 4 - Ambiguous Intent

User input:

"Our API docs are a mess - can you help fix them?"

Task Brief:

## Task Brief

**Task Type:** analysis

**User Goal:**
Improve the API documentation, but the target is ambiguous between two materially different outcomes:

- Interpretation A: audit and rewrite the documentation content itself
- Interpretation B: change the documentation tooling or site structure

**Success Criteria:**
- The intended direction is confirmed before work starts.

**Deliverables:**
- Deferred until the direction is confirmed

**Clarifying Question:**
Is the real problem the documentation content, or the tooling and presentation layer?

**Constraints:**
- Scope: public API documentation only
- Risk: external developer experience may be affected by public doc changes

**Assumptions:**
- "API docs" refers to developer-facing HTTP API documentation rather than internal notes.

**Needs Design:** yes

Example 5 - Inaccurate Goal

User input:

"Add Redis caching to our API endpoints."

Task Brief:

## Task Brief

**Task Type:** investigation

**User Goal:**
Reduce API latency or backend load, assuming Redis was proposed as a technique rather than as the confirmed goal.

**Success Criteria:**
- The real performance problem is identified.
- The task target is reframed around the actual bottleneck instead of a preselected technique.

**Deliverables:**
- Performance-problem brief

**Clarifying Question:**
What performance problem are you seeing right now: slow endpoints, high database load, or something else?

**Constraints:**
- Scope: API behavior only
- Risk: do not assume caching is appropriate before the bottleneck is known

**Assumptions:**
- The user wants better performance but has not yet confirmed where the bottleneck is.

**Needs Design:** no

Acceptance Criteria

A good task brief passes these checks:

  1. Standalone: an executor can start correctly from the brief alone, or knows the one question that must be answered first.
  2. Intent-preserving: the User Goal captures what the user actually wants, not just what they said.
  3. Constraint-complete: missing any included constraint would materially risk wrong-path execution.
  4. Non-padded: the brief stays short when the task is simple.
  5. Actionable deliverables: each deliverable is a concrete artifact or outcome.
  6. Goal-honest: the brief reframes solution-as-goal and symptom-as-goal requests honestly.
  7. Scope-clean: the brief does not drift into design routing, decomposition, or implementation planning.
  8. Single-question discipline: when clarification is needed, the brief asks one focused question, not a questionnaire.

A brief is not useful if:

  • it restates the user's message in different words without adding clarity
  • it introduces goals or constraints the user did not imply
  • it turns a simple request into a long clarification session
  • it drifts into design trees, sub-task decomposition, or implementation plans

平台分布

Codex

35.71%
按下载量换算44

Claude

27.51%
按下载量换算34

Cursor

19.22%
按下载量换算24

Gemini CLI

9.24%
按下载量换算11

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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