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workwork 搜索

Agent Skill

work 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。

总安装

214

周安装

9

GitHub Stars

4

下载量

75
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:work(work 搜索)
来源仓库:https://github.com/paulrberg/dot-agents
仓库路径:skills/work
安装命令:
npx skills add https://github.com/paulrberg/dot-agents --skill work
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/paulrberg/dot-agents --skill work

简介

work 用于在 GitHub 上查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。
  • 通过 npx 命令从指定仓库安装,需结合原始 README 确认具体用法。
  • 使用前应核实权限范围、维护状态及是否涉及联网或命令执行。
  • 建议优先参考来源仓库中的 SKILL.md 获取准确功能说明。

SKILL.md

Work

Orchestrate end-to-end task implementation: understand the task, assess complexity, implement directly or distribute across a team, then polish the result.

Workflow

1) Parse Task

Read the task description from $ARGUMENTS.

  • If $ARGUMENTS is empty, ask the user for a task description and stop.
  • Extract key signals: scope (files, modules, components mentioned), action type (new feature, bug fix, refactor, migration), and any constraints.
  • Note any referenced issues, PRs, or URLs for later context gathering.

2) Assess Complexity

Classify the task as simple or complex using these heuristics:

SignalSimpleComplex
File count1-3 files4+ files
Module spanSingle module or packageCross-module or cross-package
Dependency chainNo new dependenciesNew packages or service integrations
Risk surfaceLow (UI, docs, config)High (auth, payments, data, infra)
ParallelismSequential steps onlyIndependent subtasks benefit from concurrency

A task is complex when 3 or more signals fall in the complex column. When in doubt, prefer the simple path — team overhead is only justified when parallelism provides a real speedup.

  • Simple — proceed to Step 3.
  • Complex — proceed to Step 4.

3) Implement (Simple Path)

Execute the task directly without spawning subagents.

  1. Gather context: Read all relevant files. Understand existing code, tests, and conventions.
  2. Implement: Make the changes. Follow project conventions inferred from existing code, linters, and formatters.
  3. Verify: Run the narrowest useful checks:

- Formatter/linter on touched files. - Targeted tests for touched modules. - Type check when relevant. - If fast checks pass, run broader checks only when risk warrants it.

  1. Proceed to Step 5 (Polish).

4) Implement (Complex Path)

Distribute work across a team of subagents.

4a) Decompose

Break the task into independent subtasks. Each subtask should:

  • Target a distinct set of files with minimal overlap.
  • Be completable without waiting on other subtasks (no circular dependencies).
  • Include clear acceptance criteria.

Avoid over-decomposition. If subtasks cannot run in parallel, prefer the simple path.

4b) Create Team and Assign

Create a team with a name derived from the task (e.g., "add-auth", "refactor-api"). Create a task for each subtask. Set up dependencies when ordering matters.

Spawn implementation agents as teammates. Assign each agent one or more tasks.

Recommended team sizing:

  • 1 agent per module when modules are independent.
  • Separate agent for shared utilities when consumers depend on them (utility blocks consumers).
  • Dedicated agent for tests if test volume is high.

4c) Coordinate

Monitor progress. As agents complete tasks:

  • Review output for integration issues.
  • Resolve cross-agent conflicts (merge overlaps, API mismatches).
  • Assign follow-up tasks if gaps emerge.

After all tasks complete:

  • Run integration verification: full test suite, type check, lint.
  • Fix any integration issues directly — do not re-spawn agents for small fixes.
  • Shut down teammates.
  • Proceed to Step 5 (Polish).

5) Polish

Invoke /code-polish to simplify and review all session-modified files.

Wait for completion. If it reports residual risks or stop conditions, relay them to the user.

This step is mandatory — always run it, even if the implementation seems clean.

Error Handling

ErrorResponse
Empty $ARGUMENTSAsk for a task description and stop
Verification failures after implAttempt to fix; if unfixable, report to user before polishing
Team agent fails or times outReclaim the task and complete it directly
code-polish reports stop conditionRelay to user with context

Stop Conditions

Stop and ask for direction when:

  • The task description is ambiguous and multiple interpretations exist.
  • Implementation requires changing public APIs or breaking contracts not mentioned in the task.
  • The task scope grows beyond the original description during implementation.
  • External dependencies (APIs, services, packages) are unavailable or broken.
  • A CRITICAL security concern is discovered in existing code adjacent to the task.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.28%
按下载量换算26

Claude

28.71%
按下载量换算22

Cursor

17.56%
按下载量换算13

Gemini CLI

9.56%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/paulrberg/dot-agents --skill work 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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