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context-saver上下文保护程序

Agent Skill

context-saver 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

539

周安装

8

GitHub Stars

13

下载量

65
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:context-saver(上下文保护程序)
来源仓库:https://github.com/mhylle/claude-skills-collection
仓库路径:skills/context-saver
安装命令:
npx skills add https://github.com/mhylle/claude-skills-collection --skill context-saver
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/mhylle/claude-skills-collection --skill context-saver

简介

context-saver 实现工作上下文的磁盘化结构化保存,支持跨聊天会话继续复杂任务。

  • 提取信号丢弃噪声,仅保留核心状态信息如目标、进度和依赖项。
  • 适用于长时间会话中断、高风险操作前备份或团队协作交接场景。
  • 安装前建议确认本地写入权限和存储路径可访问性。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Context Saver

Overview

This skill enables structured preservation of working context to disk, allowing seamless continuation of complex tasks across chat sessions. It extracts signal from noise, capturing essential state while discarding ephemeral details.

When to Use

  • User explicitly requests context saving ("save context", "checkpoint this")
  • Before ending a long session with incomplete work
  • When switching focus and needing to preserve state
  • Before attempting risky operations that may require rollback
  • When collaborating and need to hand off context to another session

Core Principles

Signal Extraction Priority

  1. Trajectory (highest): What is the user trying to achieve? What's the end goal?
  2. Decisions: What choices were made and why? What was rejected?
  3. State: What code is being modified? What's the current progress?
  4. Approaches: What has been tried? What worked/failed?
  5. Noise (discard): Exploratory reads, rejected paths, verbose tool output

Information Density Rules

  • Include: Specific file:line references, concrete decisions, blockers, next steps
  • Exclude: General exploration, routine file reads, verbose error traces
  • Compress: Long code blocks → key excerpts with line references
  • Preserve: User-stated requirements verbatim, even if seemingly minor

Context File Structure

Create context files in docs/context/ or project root as CONTEXT-{topic}.md:

# Context: {Descriptive Title}

> Saved: {ISO timestamp}
> Session: {Brief session identifier}
> Status: {in-progress | blocked | ready-for-review | completed}

## Trajectory

**Goal**: {One sentence: what is the user ultimately trying to achieve?}

**Success Criteria**:
- {Concrete, measurable outcome 1}
- {Concrete, measurable outcome 2}

**Current Phase**: {Where in the journey: planning | implementing | debugging | testing | refining}

## Problem Statement

{2-4 sentences describing the core problem. Include:}
- What triggered this work
- Key constraints or requirements
- Why existing solutions don't suffice

## Active Code Focus

### Primary Files

| File | Lines | Reason |
|------|-------|--------|
| `path/to/file.ts` | 45-78 | {Why this section matters} |
| `path/to/other.ts` | 12-34 | {What's being modified here} |

### Key Code Context

// {file}:{start_line}-{end_line} // {Brief explanation of what this code does and why it's relevant} {Essential code excerpt - max 30 lines}


### Dependencies & Relationships

- `{file1}` imports from `{file2}` via `{what}`
- `{component}` depends on `{service}` for `{why}`

## Decisions Made

| Decision | Rationale | Alternatives Rejected |
| --- | --- | --- |
| {Choice made} | {Why this approach} | {What was considered but rejected} |

## Approaches Taken

### Succeeded

- {Approach}: {Brief result}

### Failed/Abandoned

- {Approach}: {Why it didn't work, lesson learned}

### In Progress

- {Current approach}: {Current state, what remains}

## User Requirements

> {Verbatim or near-verbatim capture of specific user requests}
>
> - "{Exact user statement about requirement}"
> - "{Another specific ask}"

## Blockers & Open Questions

- {Blocker 1}: {What's needed to unblock}
- {Question 1}: {Context for why this matters}

## Next Steps

1. {Immediate next action with specific file/function reference}
2. {Following action}
3. {Subsequent action}

## Session Notes

{Any important context that doesn't fit above - debugging findings, environment quirks, temporary workarounds}

---

*Resume command*: `Continue working on {brief description}. Read CONTEXT-{topic}.md first.`

Extraction Process

Step 1: Identify Trajectory

Before extracting anything, answer:

  • What transformation is the user trying to achieve?
  • What would "done" look like?
  • What constraints exist?

Step 2: Map Active Code

Scan recent tool calls to identify:

  • Files with Write/Edit operations → primary focus
  • Files with multiple Read operations → secondary context
  • Grep/Glob patterns → areas of exploration

For each active file, capture:

  • Specific line ranges being modified
  • The "why" behind modifications
  • Relationships to other files

Step 3: Extract Decisions

Review conversation for:

  • Explicit choices ("let's use X instead of Y")
  • Implicit preferences (user accepted one approach, rejected another)
  • Constraints stated or discovered

Step 4: Capture Approaches

Document what was tried:

  • Succeeded: Brief note on what worked
  • Failed: Crucially, why it failed (prevents re-trying)
  • In Progress: Current state and remaining work

Step 5: Preserve User Requirements

Search conversation for:

  • Direct quotes of user requirements
  • Specific asks even if mentioned once
  • Preferences and style guidance

Step 6: Define Next Steps

Convert remaining work into actionable items:

  • Each step should reference specific files/functions
  • Order by logical dependency
  • Include enough context to start without re-reading everything

Quality Checklist

Before finalizing context file:

  • [ ] Trajectory clear? Can a new session understand the goal in 30 seconds?
  • [ ] Code references specific? File:line, not just "the auth module"
  • [ ] Decisions documented? Including what was rejected and why?
  • [ ] User requirements preserved? Verbatim where possible?
  • [ ] Next steps actionable? Each step is specific enough to start immediately?
  • [ ] Noise removed? No exploratory reads, verbose outputs, tangential discussion?
  • [ ] Size reasonable? Under 500 lines, ideally under 300?

File Naming Convention


CONTEXT-{topic}.md # General format CONTEXT-auth-refactor.md # Feature work CONTEXT-bug-123.md # Bug fix CONTEXT-spike-caching.md # Investigation CONTEXT-{date}-{topic}.md # Time-sensitive work

Usage Examples

Saving Mid-Implementation Context


User: "Save context - I need to step away"

Action:

1. Identify trajectory (what feature being built)
2. Map all files with recent edits
3. Extract key code sections with line numbers
4. Document current approach and progress
5. List concrete next steps
6. Write to docs/context/CONTEXT-{feature}.md

Saving After Investigation


User: "Checkpoint this debugging session"

Action:

1. Capture problem statement and symptoms
2. Document what was investigated
3. Record findings (both positive and negative)
4. Note hypotheses tested and results
5. List remaining investigation paths
6. Write to docs/context/CONTEXT-debug-{issue}.md

Saving Before Risky Operation


User: "Save state before we refactor"

Action:

1. Document current working state
2. Capture all files that will be touched
3. Note the planned changes
4. Record rollback points
5. Write to docs/context/CONTEXT-pre-{operation}.md

Anti-Patterns to Avoid

  • Dumping full files: Use excerpts with line references
  • Including tool output: Summarize findings, don't paste logs
  • Vague references: "The service file" → "src/services/auth.service.ts:45-78"
  • Missing rationale: What was done without why
  • Forgotten rejections: Document why alternatives were rejected
  • Stale context: Always update, don't create parallel files

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

33.92%
按下载量换算22

Claude

28.25%
按下载量换算18

Cursor

18.52%
按下载量换算12

Gemini CLI

9.87%
按下载量换算6

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

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 warning/failed 结果,不能写成本站确认安全。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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