SkillsAdd

pakco77/mishu.skill · Archived

context-fold

把一个"开工要?

First seen Jul 31, 2026

Installation

$ npx skills add pakco77/mishu.skill --skill context-fold
View on skills.sh ↗ GitHub repository ↗

Summary

把一个"开工要全读多份契约文档"的项目折成冷热分离——提炼出几百 token 的 NOW.md 热区,开工只读它,历史归冷档按需取,直接砍掉每次开工重复烧的 token。当用户说 /context-fold、"折叠上下文"、"冷热分离"、"省开工 token"、"这项目开工读太多"时用。

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Also in this package

Other skills from pakco77/mishu.skill.

npx skills add pakco77/mishu.skill
project-fold 4 mishu 4

Browse all from pakco77/mishu.skill

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 2
License LICENSE
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

LicenseMIT
Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,000 B
  • docs SUMMARY.md 344 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 4 installs

SKILL.md

context-fold

VibeSucceed 的核心机制。把当前项目开工要读的一大堆契约/进度文档(PROJECT / HANDOFF / DECISIONS / MOMENTUM / LOG 之类)折成"一个热区 + 一堆冷档",让开工只读热区。

为什么

开工协议每次全读 N 份文档 = 每次开工没干活先烧掉上万 token。热区把它压到几百 token。append-only ≠ append-into-context:历史照留磁盘,只是别每次拖进上下文。

什么时候用

  • 项目开工要读多份文档、每次开工 token 很贵。
  • 契约/进度文档只增不减,越堆越大。

动作(一次 setup)

  1. 找出项目里开工会被读的全部契约/进度文档。
  2. 从它们提炼出热区 NOW.md(目标 ≤ 500 token),只含:一句定位、现在在做、上次到哪(最近一条)、本轮下一步、当前在用的 2–3 条决策、冷档索引。
  3. 其余文档标为冷档——不删,但开工不读。
  4. 改写项目开工入口(CLAUDE.md / AGENTS.md / AGENT_INDEX.md 等):把"按顺序读 N 份"改成"只读 NOW.md,冷档按需取"。
  5. 改写收工协议:每轮只刷新 NOW.md + 往冷档 append 一行,不把细节回写热区。

铁律

  • NOW.md 是唯一开工必读,保持几百 token;超了就把细节沉到冷档。
  • 不删任何历史文档,只改"开工读什么"。
  • 折叠是总结,别写解析脚本。
  • 改完提醒用户用 npx ccusage 量开工 token 前后降幅。

自检

setup 完,新开一轮工作应当只需读 NOW.md 就能复述"在做什么/上次到哪/下一步";若还得翻冷档才说得清,说明热区漏了东西,补进 NOW.md。