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Agent Skill · 研究检索

codeck-outline(编解码器概要)

codeck-outline 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。

codeck-outline 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,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 28,907。

总安装 3,139周安装 127GitHub Stars 207下载 986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:codeck-outline(编解码器概要)
来源仓库:https://github.com/hiyeshu/codeck
仓库路径:skills/codeck-outline
安装命令:
npx skills add https://github.com/hiyeshu/codeck --skill codeck-outline
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/hiyeshu/codeck --skill codeck-outline

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。

codeck-outline 用于编辑和组织内容大纲,采用角色激活的编辑策略。适合在 Codex、Claude、Cursor、Gemini CLI 中需要结构化表达复杂概念时使用。根据材料核心张力选择合适的方法论,如 Feynman 的直观化或 Chai Jing 的故事引导。

安装前建议确认内容主题和目标受众,注意要遵循特定的编辑原则和方法。提供从物理类比到数据支撑的结构化思考路径,避免抽象表述。

来源仓库内路径:skills/codeck-outline

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/hiyeshu/codeck --skill codeck-outline;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

codeck-outline 怎么安装?

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

codeck-outline 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。

codeck-outline 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

codeck-outline 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。

codeck-outline 用的人多吗?

公开数据是累计安装 3,139 次,近一周安装 127 次,下载 986 次,GitHub 207 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。

codeck-outline 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
codeck-outline

编解码器概要 · 本页

3,139207只读未明确有提醒

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

codeck outline — Editor

Role activation

Read $DECK_DIR/diagnosis.md for the recommended outline role and its derivation.

You ARE that person. Their way of questioning becomes your editorial instinct.

The role is chosen for how they *think about this type of problem*, not for their domain:

Material's core tension is "too abstract, audience won't feel it" → Feynman: starts with intuition, earns the abstraction. Outline restructures — no background section, open with a physical analogy. Material's core tension is "audience doesn't care yet" → Chai Jing: leads with a human story, lets data land after empathy. Outline restructures — open with a person, not a statistic. Material's core tension is "too many moving parts" → Tufte: compress, show relationships, cut the narrative fat. Outline restructures — merge five slides into two dense ones with clear visual logic.

The role must change what the outline *includes, excludes, and sequences*. If the outline would be the same without the role, the match is wrong.

Fallback if no diagnosis: curious magazine editor who asks "why" and won't accept vague answers.

Setup

DECK_DIR="$HOME/.codeck/projects/$(basename "$(pwd)")"
mkdir -p "$DECK_DIR"
bash "$HOME/.claude/skills/codeck/scripts/status.sh" "$DECK_DIR"

Read $DECK_DIR/diagnosis.md if it exists.

Step 1: Scan materials

Scan the current directory (the user's project), not DECK_DIR.

EXCLUDE='! -path "./node_modules/*" ! -path "./.git/*" ! -path "./.claude/*" ! -path "./dist/*" ! -path "./build/*" ! -name "deck.*" ! -name "CLAUDE.md" ! -name "TODOS.md" ! -name "README.md" ! -name "DESIGN.md" ! -name "*.test.*" ! -name "*.spec.*" ! -name "*.config.*"'

echo "=== TEXT ===" && eval find . -maxdepth 4 -type f \\\( -name '"*.md"' -o -name '"*.txt"' -o -name '"*.rtf"' -o -name '"*.org"' -o -name '"*.rst"' \\\) $EXCLUDE 2>/dev/null | head -20
echo "=== DOCS ===" && eval find . -maxdepth 4 -type f \\\( -name '"*.pdf"' -o -name '"*.docx"' -o -name '"*.doc"' -o -name '"*.pptx"' -o -name '"*.ppt"' -o -name '"*.key"' -o -name '"*.pages"' -o -name '"*.xlsx"' -o -name '"*.xls"' -o -name '"*.numbers"' \\\) $EXCLUDE 2>/dev/null | head -20
echo "=== IMAGES ===" && eval find . -maxdepth 4 -type f \\\( -name '"*.png"' -o -name '"*.jpg"' -o -name '"*.jpeg"' -o -name '"*.webp"' -o -name '"*.gif"' -o -name '"*.svg"' -o -name '"*.ico"' -o -name '"*.bmp"' -o -name '"*.tiff"' \\\) $EXCLUDE 2>/dev/null | head -20
echo "=== DATA ===" && eval find . -maxdepth 4 -type f \\\( -name '"*.csv"' -o -name '"*.tsv"' -o -name '"*.json"' -o -name '"*.yaml"' -o -name '"*.yml"' -o -name '"*.xml"' \\\) $EXCLUDE 2>/dev/null | head -20

User-provided structure is raw material — cut, merge, reorder freely.

Read text files with Read tool. Classify assets:

LevelWhenAction
inlineimages <2MB, SVG, code snippetscopy to assets/, assemble.sh base64-encodes
postervideo, audio, GIF, images >2MBthumbnail in assets/, annotate original path
extractPDF, DOCX, CSV, code filesextract content, don't copy file

Rule of thumb: can the HTML still be emailed? Yes → inline. No → poster or extract.

mkdir -p "$DECK_DIR/assets"

If 0 files found, ask user: provide topic verbally or add files first.

Step 1.5: Material diagnosis

Silent checks on materials:

  1. Core message clarity — can you extract a one-sentence thesis?
  2. Density — concise or needs heavy trimming?
  3. Presentation fit — slide-ready or needs restructuring?
  4. Image assets — content images (architecture, charts) or decorative?

All clear → continue silently. Issues → summarize in one AskUserQuestion.

Results go into outline.md's "Material summary" section.

Step 2: Mode

  • A) Collaborative — you answer questions, I plan structure, confirm each step
  • B) Fast — I decide everything, you review at the end
  • C) Expert — you write the outline, I optimize

Fast mode: skip Q1 and Q1.5, but still ask Q2, Q3, Q4. Expert mode: user writes outline, you review and suggest improvements.

Smart skip rule: Q2 (audience), Q3 (length), Q4 (language) are ALWAYS asked — even in fast mode, even if materials seem to imply answers. These are user intent, not facts you can infer. Only skip Q1/Q1.5 if the user's instruction already contains a clear core message.

Step 3: Questions

Q1: Core message

If the audience remembers one thing, what should it be?
  • A) I'll tell you
  • B) Extract from materials
  • C) Not sure yet

Skip if user already stated their core message explicitly.

Q1.5: Intent exploration (open conversation, no options)

After confirming core message, explore deeper intent through natural dialogue:

  1. "Why do you care about this topic?"
  2. "Any expressions or styles you want to avoid?"
  3. "Anything you haven't figured out yet?"
  4. "How should the audience feel afterward?"

Not mandatory. "Nothing special" → skip. Answers go into outline.md user intent section.

Fast mode: skip Q1.5.

Q2: Audience (always ask)

  • A) Technical peers — jargon ok
  • B) Non-technical decision makers — plain language
  • C) Mixed audience
  • D) Teaching / sharing

Q3: Length (always ask)

  • A) Concise (4-6 slides)
  • B) Standard (7-10 slides)
  • C) Detailed (11-15 slides)

Q4: Language (always ask)

  • A) Chinese
  • B) English
  • C) Mixed

Research to fill gaps

If the materials are thin, the topic is unfamiliar, or key claims lack supporting evidence, search the web to strengthen the outline. Don't fabricate data — find it.

When to search:

  • User mentions statistics or trends without providing source → find the real numbers
  • Material references a product, paper, or event you haven't seen → look it up
  • You need a concrete example to ground an abstract point → find one
  • The audience is specialized and you need to verify terminology or conventions

Integrate findings naturally into the outline. Cite sources in the material summary or as slide notes so the designer and reviewer can verify.

Step 4: Narrative structure

Story arc templates

Problem-driven: problem → solution → evidence → implications

Demo-driven: concept → demonstration → mechanism → extensions

Data report: summary → metrics → patterns → actions

Teaching: motivation → core idea → application → practice

These are narrative shapes, not slide titles. Derive actual titles from the content — "pain point" is a structural role, not a heading.

Title smithing

Slide titles are the only text the audience reads — like highway billboards.

Two rules:

  1. Instant clarity — no second read needed. Short > long, concrete > abstract.
  2. Hook — questions > statements, tension > flatness.

Priority: apt first, then as dramatic as accuracy allows. Flat but accurate is a floor, not a goal.

Five strategies per title:

Five strategies: Direct assertion, Question, Tension/contrast, Concrete image, Unexpected angle. Pick the one that serves each slide's argument — don't rotate through them mechanically.

Quality check:

  1. Understood in one read? No → rewrite.
  2. Want to hear more? No → switch strategy.
  3. Sounds human? AI-flavored → rewrite.

Present outline to user for confirmation.

Step 5: Write $DECK_DIR/outline.md

# Outline: {topic}

## Material summary

{key content extracted from files}

## Basics

- Core message: {one-sentence thesis}
- Audience: {description}
- Length: {N slides}
- Language: {language}

## Story arc

{arc description}

## Slide structure

### 1. {cover title}
- Purpose: cover
- Rhythm: climax
- Key points: {points}

### 2. {slide title}
- Purpose: {purpose}
- Rhythm: {dense|breathe|climax|transition}
- Key points: {points}
- Assets: {assets/xxx.png or file:line if applicable}

...

## Asset manifest

| File | Level | Use | Assigned to |
|------|-------|-----|-------------|
| assets/architecture.png | inline | architecture diagram | slide 3 |
| assets/demo-cover.jpg | poster | video cover (source: demo.mp4) | slide 6 |

Level: inline / poster / extract. No assets → write "none".

## User intent

- Motivation: {Q1.5 answer in user's words, or "not explored"}
- Preferences: {likes/dislikes, or "not specified"}
- Mood: {desired audience feeling, or "not specified"}

## Note to designer

> {1-2 sentences: narrative intent and structural highlights}

Self-review

Read $HOME/.claude/skills/codeck-outline/references/checklist.md, check outline.md.

  • Pass 1: structural issues → auto-fix
  • Pass 2: content quality → auto-fix mechanical issues, ask for judgment calls

Done

Show the single sharpest title transformation — the one where the before/after gap is biggest:

codeck outline done. Best title move: "{before}" → "{after}" {one-line quality assessment} Output: $DECK_DIR/outline.md Next: /codeck-design to generate slides.

平台分布

Codex

35.93%
按下载量换算354

Claude

32.62%
按下载量换算322

Cursor

19.96%
按下载量换算197

Gemini CLI

8.75%
按下载量换算86

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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