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Skills/liuzhengdongfortest/codestable/cs-explore
cs-explore logo

cs-explore

liuzhengdongfortest/codestable
1K installs917 stars
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Installation

npx skills add https://github.com/liuzhengdongfortest/codestable --skill cs-explore

Summary

对仓库做定向代码探索并把"提问→读代码→得结论"沉淀为可检索证据,三种类型 question / module-overview / spike。触发:用户说"先 explore 一下"、"这个仓库里 X 怎么实现"、"快速熟悉这个模块"、"把探索结果存档"。

SKILL.md

cs-explore

启动必读

开始任何判断或动作前,先读取 .codestable/attention.md;缺失则视为骨架不完整,提示先补齐或运行 cs-onboard,不要回退到外部 AI 入口文件。

同一个问题第一次花两小时查代码,第二次应该五分钟内找到答案——前提是第一次做完留下证据化的记录。cs-explore 把"提问 → 读代码 → 得结论"沉淀成可检索的探索文档。

---

适用场景

  • 新人入仓快速理解模块边界 / 调用链 / 入口
  • 用户提具体问题但暂时不要求直接产出方案 / 修复
  • feature-design / issue-analyze / issue-fix 前先补一轮证据化探索
  • 技术方向还在讨论,需要轻量 spike(只探索不拍板)

本技能只负责"看到了什么"的证据化记录。用户意图是别的(拍板 / 处方 / 修 bug)让用户按场景选对应子技能。

共享路径与命名约定看 .codestable/reference/shared-conventions.md。产物写入 .codestable/compound/,命名 YYYY-MM-DD-explore-{slug}.md,frontmatter 带 doc_type: explore。

---

三种探索类型

frontmatter 的 type 字段:

类型适用情境
question围绕一个具体问题查代码并给结论
module-overview快速梳理某模块结构 / 边界 / 入口 / 依赖
spike对多个可能方向做轻量技术探查(不做最终决策)

---

文档格式

frontmatter / 正文结构 / 各节写法说明和示例见同目录 reference.md。流程约束:

  • 速答必须先于证据出现——读者打开先看到结论再决定要不要往下看证据
  • 结论必须可回溯到证据,不允许纯猜测
  • 证据不足时 confidence 必须降为 medium 或 low
  • 旧探索过期:旧文档标 outdated,新增当前版本

---

工作流阶段

Phase 1:收敛探索问题

最多两个问题:

  1. "你最想先回答的一个问题是什么?"
  2. "希望聚焦哪个模块 / 目录?"

用户描述已清楚直接进 Phase 1.5。

Phase 1.5:查重叠与意图分流(必做)

按 shared-conventions.md §6 第 5/6 条执行:

  • 含"更新 / 复查 / 某次 explore / 这个模块之前探过"或指向某份旧 explore → 走更新或 supersede。explore 特性:代码已变导致旧结论失效时旧文档 status: outdated + 新建一份(supersede);只补证据 / 收紧结论但核心结论未变时走"更新已有"
  • 否则用搜索工具按关键词 / 模块查一遍,命中相近旧 explore 时先读它,能直接回答就告诉用户"已有一份在 {路径},复用还是重探一遍?"

更新路径:读旧文档 → 按 Phase 2 补证据 → 改写速答节 → 写回原文件 + updated: YYYY-MM-DD。

Phase 2:证据化探索

  • 用 Glob / Grep / Read 真实读代码不靠猜
  • 边读边积累证据;同步思考每条证据支撑哪个结论——不支撑任何结论的证据不记录
  • 关键证据 3-8 条,每条都标注 文件:行号
  • 多模块协作或 module-overview / spike 类型 → 准备一张 Mermaid 图放在速答节里
  • 形成初步结论后主动检查:已有证据能否说服持怀疑态度的人?够了就停不必扩大搜索

为什么"够了就停":探索不是穷举,是建立到"读者能信"为止的证据链。继续扩大只会让文档变长而不变可信。

Phase 3:起草与确认

  • 先写速答节,再回填关键证据——这个顺序很重要:先有结论再回头看证据是否真支持,能逼你检查每条证据的实际效力
  • AI 一次性起草完整文档,用户 review 后确认
  • 有修改按反馈修订后再落盘

Phase 4:归档

  • 新建:写入 .codestable/compound/YYYY-MM-DD-explore-{slug}.md,frontmatter 带 doc_type: explore
  • 更新:写回 Phase 1.5 定位的原文件 + updated: YYYY-MM-DD
  • supersede:按 shared-conventions.md §6 第 5 条;旧文档 status: outdated + superseded-by

Phase 5:给出下一步建议

证据收齐后一句话提示下一步方向("要不要基于这份 explore 去设计方案")。用户说"不用"就跳过——下一步由用户自己决定。

---

搜索工具

完整语法见 .codestable/reference/tools.md。

# 按类型筛选

python .codestable/tools/search-yaml.py --dir .codestable/compound --filter doc_type=explore --filter type=module-overview --filter status=active

# 归档后查重叠

python .codestable/tools/search-yaml.py --dir .codestable/compound --filter doc_type=explore --query "{关键词}" --json

---

退出条件

  • [ ] 已明确探索问题与范围
  • [ ] 速答节给出核心结论(结论前置)
  • [ ] 关键证据 3-8 条,每条标 file:line 并说明支撑哪个结论
  • [ ] 多模块或 module-overview / spike 类型时速答节有 Mermaid 图
  • [ ] 文档已归档到 compound/
  • [ ] 已给出后续建议

---

守护规则

归档类共享规则见 shared-conventions.md 第 6 节。本技能特有反模式:

  • 不读代码直接给结论
  • 证据只写"看起来像"不写 file:line
  • 结论写在证据之后——速答节必须在关键证据节之前
  • 证据节比速答节长数倍——精简证据,不支撑结论的删掉
  • 跨模块流程没 Mermaid 图,只靠文字描述
  • 提前拍板——explore 只记"看到了什么"不下"以后应该怎么做"
  • 直接给处方没证据链——每条结论必须回溯到 file:line
  • 历史 explore 已过期却继续引用,不做 status 标注
  • 读写非 doc_type=explore 的文档——本技能只负责 explore

Score

0–100
63/ 100

Grade

C

Popularity15/30

1,002 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Cs Explore skill score badge previewScore badge

Markdown

[![Cs Explore skill](https://www.remoteopenclaw.com/skills/liuzhengdongfortest/codestable/cs-explore/badges/score.svg)](https://www.remoteopenclaw.com/skills/liuzhengdongfortest/codestable/cs-explore)

HTML

<a href="https://www.remoteopenclaw.com/skills/liuzhengdongfortest/codestable/cs-explore"><img src="https://www.remoteopenclaw.com/skills/liuzhengdongfortest/codestable/cs-explore/badges/score.svg" alt="Cs Explore skill"/></a>

Cs Explore FAQ

How do I install the Cs Explore skill?

Run “npx skills add https://github.com/liuzhengdongfortest/codestable --skill cs-explore” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Cs Explore skill do?

对仓库做定向代码探索并把"提问→读代码→得结论"沉淀为可检索证据,三种类型 question / module-overview / spike。触发:用户说"先 explore 一下"、"这个仓库里 X 怎么实现"、"快速熟悉这个模块"、"把探索结果存档"。 The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Cs Explore skill free?

Yes. Cs Explore is a free, open-source skill published from liuzhengdongfortest/codestable. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Cs Explore work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Cs Explore works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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