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scratch-pad便签本

Agent Skill

scratch-pad 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

384

周安装

16

GitHub Stars

851

下载量

128
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

3

许可证

MIT

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:scratch-pad(便签本)
来源仓库:https://github.com/krafton-ai/kira
仓库路径:skills/scratch-pad
安装命令:
npx skills add https://github.com/krafton-ai/kira --skill scratch-pad
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/krafton-ai/kira --skill scratch-pad

简介

scratch-pad 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 建议确认权限范围和维护状态,避免触发不必要的联网或文件操作。
  • 具体用法请参考原始 README 和项目文档。

SKILL.md

Scratch Pad - Markdown-Based Task Memory

Simple markdown file for tracking progress during complex tasks. All content is directly written to a .md file for immediate use.

Quick Start

# Initialize scratch pad
python scripts/scratch_pad.py init "Task Name"

# Add content
python scripts/scratch_pad.py append "Finding: The analysis shows..."

# Log tool calls
python scripts/scratch_pad.py log-tool "web_search" '{"query": "AI trends"}' "Found 10 results"

# Read current content
python scripts/scratch_pad.py read

Core Commands

Basic Operations

# Start new task
python scripts/scratch_pad.py --file /path/to/scratch.md init "Task Name"

# Add any content
python scripts/scratch_pad.py append "Content to add..."

# Add section header
python scripts/scratch_pad.py section "Research Findings"

# Read entire pad
python scripts/scratch_pad.py read

Structured Logging

# Log tool execution
python scripts/scratch_pad.py log-tool "tool_name" '{"param": "value"}' "result text"

# Add finding
python scripts/scratch_pad.py finding "Important discovery" --category "Analysis"

# Add checkpoint
python scripts/scratch_pad.py checkpoint "Phase 1 Complete"

# Add TODO
python scripts/scratch_pad.py todo "Follow up on this"
python scripts/scratch_pad.py todo "Completed task" --done

# Mark complete
python scripts/scratch_pad.py complete

When to Use

ALWAYS use for:

  • Tasks with 5+ tool calls
  • Multi-source research ("조사해줘")
  • Comparative analysis ("비교해줘")
  • Information synthesis ("정리해줘")
  • Step-by-step processing

Integration Pattern

# 1. Initialize at task start
SCRATCH_FILE="FILESYSTEM_BASE_DIR/files/{channel_id}/tmp/scratch_{timestamp}.md"
python scripts/scratch_pad.py --file $SCRATCH_FILE init "User request summary"

# 2. Log each tool call
python scripts/scratch_pad.py --file $SCRATCH_FILE log-tool "mcp__perplexity__search" '{"query": "..."}'
# Execute tool...
python scripts/scratch_pad.py --file $SCRATCH_FILE append "Result: Found X relevant items"

# 3. Add findings
python scripts/scratch_pad.py --file $SCRATCH_FILE finding "Key insight from research"

# 4. Read content for reference (DO NOT include raw content in response)
CONTENT=$(python scripts/scratch_pad.py --file $SCRATCH_FILE read)
# Use $CONTENT as reference to write organized response in mcp__slack__answer

# 5. Clean up (REQUIRED)
rm $SCRATCH_FILE

Important:

  • The scratch pad is for YOUR reference only
  • DO NOT copy/paste the raw markdown into responses
  • USE it to organize and write a proper answer
  • ALWAYS delete the scratch file after use

Output Format

The markdown file is structured for easy reading:

# 📋 Task Name

**Created:** 2025-11-05 10:00:00
**Status:** 🔄 In Progress

---

## 📝 Task Overview
Task: Research competitor products
Started: 2025-11-05 10:00:00

---

## Research Findings (10:05:23)

[10:05:30] Found 3 main competitors...

### 🔧 [10:06:15] Tool: web_search

**Parameters:**

{ "query": "competitor analysis" }


**Result:**

Found 10 relevant results


---

### ✅ Checkpoint: Initial Research Complete

**Time:** 10:15:00 Gathered basic information on all competitors

---

Best Practices

  1. Use descriptive section headers - Makes content easy to navigate
  2. Log tools immediately - Capture parameters before execution
  3. Add findings as you go - Don't wait until the end
  4. Use checkpoints - Mark major milestones
  5. Reference, don't copy - Use scratch pad as reference for organized response
  6. Always clean up - Delete scratch files after task completion
  7. Keep it concise - Focus on key information for YOUR reference

Module Usage

from scripts.scratch_pad import ScratchPadManager

# Initialize
manager = ScratchPadManager('/tmp/task.md')
manager.init("Complex Analysis Task")

# Add content
manager.add_section("Research Phase")
manager.append("Starting research on topic X...")

# Log tool
manager.log_tool("web_search", {"query": "topic X"}, "10 results found")

# Add finding
manager.add_finding("Topic X is growing 50% annually", "Market Trends")

# Read content
content = manager.read()

# Mark complete
manager.complete()

File Management

  • Location: Always in FILESYSTEM_BASE_DIR/files/{channel_id}/tmp/
  • Naming: scratch_{timestamp}.md or scratch_{task_id}.md
  • Cleanup: Delete after task completion
  • Size limit: Keep under 1MB for performance

Why Markdown?

  • ✅ Human-readable format
  • ✅ No JSON parsing overhead
  • ✅ Direct append operations
  • ✅ Easy to include in responses
  • ✅ Can be viewed/edited manually
  • ✅ Natural structure for documentation

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

27.36%
按下载量换算35

OpenCode

24.99%
按下载量换算32

Codex

18.07%
按下载量换算23

Gemini CLI

12.77%
按下载量换算16

replit

8.83%
按下载量换算11

windsurf

3.92%
按下载量换算5

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。

来源信息

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