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Agent Skill · 研究检索

skill-knowledge-work(技能知识工作)

skill-knowledge-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。

skill-knowledge-work 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 70,604。

总安装 210周安装 9GitHub Stars 2,809下载 73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:skill-knowledge-work(技能知识工作)
来源仓库:https://github.com/nyldn/claude-octopus
仓库路径:skills/skill-knowledge-work
安装命令:
npx skills add https://github.com/nyldn/claude-octopus --skill skill-knowledge-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/nyldn/claude-octopus --skill skill-knowledge-work

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。

skill-knowledge-work 用于查找、检索和筛选相关信息,适合在知识密集型任务中快速定位参考资料。支持基于关键词、主题或来源线索筛选内容,提升研究与分析效率。通过 npx skills add 命令从指定仓库安装,需确认仓库路径与访问权限。使用前建议核实维护状态,避免使用废弃或存在安全风险功能。

注意是否触发联网或文件操作,确保符合本地安全策略。

来源仓库内路径:skills/skill-knowledge-work

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/nyldn/claude-octopus --skill skill-knowledge-w…;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

skill-knowledge-work 怎么安装?

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

skill-knowledge-work 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。

skill-knowledge-work 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。

skill-knowledge-work 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。

skill-knowledge-work 用的人多吗?

公开数据是累计安装 210 次,近一周安装 9 次,下载 73 次,GitHub 2,809 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。

skill-knowledge-work 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。
  • 来源仓库有 2,809 星,维护活跃度相对可查。

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
skill-knowledge-work

技能知识工作 · 本页

2102,809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

Knowledge Work Mode - Context Override Skill

Context Auto-Detection (v7.8+)

Claude Octopus now auto-detects work context! The system analyzes your prompt and project to determine whether you're in a Dev Context (code-focused) or Knowledge Context (research/strategy-focused).

You typically don't need this skill - context is detected automatically when you use:

  • octo research X - Auto-detects dev vs knowledge research
  • octo build X - Auto-detects code vs document building
  • octo review X - Auto-detects code vs document review

When to Use This Override

Use ONLY when auto-detection is wrong:

  • Auto-detection chose Dev but you want Knowledge behavior
  • Auto-detection chose Knowledge but you want Dev behavior
  • You want to force a specific context for the entire session

Override Commands

Force Knowledge Context

/octo:km on

All subsequent workflows will use Knowledge Context until reset.

Force Dev Context

/octo:km off

All subsequent workflows will use Dev Context until reset.

Return to Auto-Detection

/octo:km auto

Context detection returns to automatic mode.

Check Current Status

/octo:km

Shows current mode (auto, knowledge, or dev).

How Auto-Detection Works

When you use any octo workflow, context is detected by analyzing:

  1. Prompt Content (strongest signal):

- Knowledge indicators: "market", "ROI", "stakeholders", "strategy", "personas", "presentation", "report", "PRD" - Dev indicators: "API", "endpoint", "database", "implementation", "code", "function", "deploy"

  1. Project Type (secondary signal):

- Has package.json, Cargo.toml, go.mod → Dev Context - Mostly .md, .docx, .pdf files → Knowledge Context

  1. Explicit Override (if set via /octo:km):

- Overrides all auto-detection until reset to "auto"

Visual Indicator Shows Context

When workflows run, you'll see the detected context in the banner:

Dev Context:

🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-provider research mode
🔍 [Dev] Discover Phase: Technical research on caching patterns

Knowledge Context:

🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-provider research mode
🔍 [Knowledge] Discover Phase: Market analysis for APAC expansion

Examples of Auto-Detection in Action

Example 1: Technical Research (Auto → Dev)

User: "octo research caching strategies for our Node.js API"

Claude: (auto-detects Dev Context from "Node.js API")

🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-provider research mode
🔍 [Dev] Discover Phase: Technical research on caching strategies

[Researches with technical/implementation focus]

Example 2: Market Research (Auto → Knowledge)

User: "octo research market opportunities in healthcare AI"

Claude: (auto-detects Knowledge Context from "market opportunities")

🐙 **CLAUDE OCTOPUS ACTIVATED** - Multi-provider research mode
🔍 [Knowledge] Discover Phase: Strategic research on healthcare AI market

[Researches with business/strategic focus]

Example 3: Override When Auto Gets It Wrong

User: "octo research React patterns" Claude: (auto-detects Dev) 🔍 [Dev] Discover Phase...

User: "Actually, this is for a presentation. Force knowledge mode."

Claude: "Setting context override to Knowledge Mode."

/octo:km on

User: "octo research React patterns" Claude: (uses override) 🔍 [Knowledge] Discover Phase... (focuses on trends, adoption, strategic implications)

Example 4: Check Current Status

User: "What context mode am I in?"

Claude:

Current mode: Auto-detection (no override set)
Last detected context: Dev (based on project having package.json)

To override: /octo:km on (force Knowledge) or /octo:km off (force Dev)
To return to auto: /octo:km auto

What Changes Per Context

Dev Context 🔧

WorkflowFocus
octo research XTechnical implementation, libraries, code patterns
octo build XCode generation, architecture, tests
octo review XCode quality, security, performance
Agentscodex, backend-architect, code-reviewer, security-auditor

Knowledge Context 🎓

WorkflowFocus
octo research XMarket analysis, competitive research, literature synthesis
octo build XPRDs, strategy docs, presentations, reports
octo review XDocument quality, argument strength, completeness
Agentsstrategy-analyst, ux-researcher, exec-communicator, product-writer

Document Delivery 📄

After running knowledge workflows, export to professional formats:

  • DOCX - Word documents for reports, business cases
  • PPTX - PowerPoint presentations for stakeholder decks
  • XLSX - Excel spreadsheets for data analysis

Just say: "Export this to Word" or "Create a PowerPoint presentation"

Override Command Reference

CommandDescription
/octo:kmShow current status (auto, on, or off)
/octo:km onForce Knowledge Context for all workflows
/octo:km offForce Dev Context for all workflows
/octo:km autoReturn to auto-detection (default)

When NOT to Use Override

Don't override if:

  • Auto-detection is working correctly
  • You're doing mixed work (let each prompt be detected individually)
  • You just want to see what context was detected (check the banner)

Override is for:

  • Forcing a specific context for an entire session
  • Correcting persistent misdetection
  • Specific use cases where you know better than auto-detect

Cross-Task Learnings

At the end of significant work sessions, extract learnings:

  1. What task type was this? (debugging, implementation, research, review)
  2. What approach worked? What failed?
  3. What would you do differently next time?

Store learnings in .claude-octopus/learnings/<date>-<summary>.json:

{
  "date": "2026-03-21",
  "task_type": "debugging",
  "approach": "Traced the error from the test failure back to the API handler",
  "outcome": "success",
  "lesson": "Always check middleware ordering before investigating handler logic"
}

Each learning file captures: task_type, approach, outcome, and lesson.

Session Start: Relevance Matching

At session start, check for relevant learnings:

  • Read .claude-octopus/learnings/ directory
  • Match by task type and file patterns relevant to the current work
  • Inject top 3 most relevant learnings as context (within ~5% token budget)
  • Prefer recent learnings; deprioritize those older than 30 days

Budget Controls

  • Maximum 5 learnings extracted per session (prevents runaway writes)
  • Maximum 50 learning files retained (oldest pruned automatically)
  • Relevance injection capped at 3 learnings and ~5% of available token budget
  • Learning files are lightweight JSON (~200 bytes each)

Related Skills

  • /octo:discover - Research workflow (auto-detects context)
  • /octo:develop - Build workflow (auto-detects context)
  • /octo:deliver - Review workflow (auto-detects context)
  • /octo:docs - Document export (works in both contexts)

平台分布

Codex

33.12%
按下载量换算24

Claude

29.83%
按下载量换算22

Cursor

20.22%
按下载量换算15

Gemini CLI

9.96%
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

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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