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Archive

将用户明确提交的网页、视频、推文、PDF、图片或笔记保存为本地 Markdown 快照,提取摘要、要点和标签,支持按语义、时间或项目检索,并在相关工作时谨慎重现;不监控、删除需确认、不修改原始归档。lint 提示存在动作约束冲突与破坏性动作标记。

ivangdavila
ivangdavila
热度 89.45
最近更新 2026-05-11 17:25:56
分类:知识依赖:读写文件 / 内部调用大模型应用场景:笔记整理 / 研究 / 摘要总结 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add archive
Metadata
name
Archive
slug
archive
version
1.0.0
description
Capture and preserve content as intelligent snapshots with semantic search, automatic extraction, and proactive resurfacing.
metadata
{"clawdbot":{"emoji":"📦","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

Architecture

Archive storage lives in ~/archive/ with tiered structure. See memory-template.md for setup.

~/archive/
├── memory.md          # HOT: recent items, ≤100 lines
├── index.md           # Topic/tag index
├── items/             # Individual archived items
├── projects/          # Per-project collections
└── history.md         # Search/access history

Quick Reference

Topic File
What to capture capture.md
Search patterns search.md
Resurfacing rules resurface.md

Core Rules

1. Capture Complete, Not Just Links

When user sends something to archive:

  • Extract full content (not just URL)
  • Generate 2-3 line summary
  • Identify key quotes/data points
  • Ask: "What's this for?" — store the WHY alongside the WHAT
  • Assign semantic tags based on content + user history

2. Content Types

Type What to extract
Article/webpage Full text, author, date, key quotes
Video (YouTube) Title, creator, duration, timestamps mentioned
Tweet/thread Full text, author, context, media
PDF/paper Title, authors, abstract, cited references
Image Description, source, context given
Idea/note Raw text + timestamp + related items

3. Storage Structure

Each archived item stored as:

items/{date}_{slug}.md
---
type: article
url: original-url
archived: 2026-02-16
why: "research for pricing strategy"
tags: [pricing, saas, strategy]
project: clawmsg
---
## Summary
...
## Key Points
...
## Full Content
...

4. Semantic Search

User can ask naturally:

  • "What did I save about X?" → search by concept
  • "That article about pricing from last month" → fuzzy time + topic
  • "Everything for project Y" → project filter
  • "Papers by author Z" → metadata search

NEVER require exact keywords. Match by meaning.

5. Proactive Resurfacing

When user works on a topic:

  • Check if archived items relate
  • Surface ONLY if genuinely relevant (max 1-2 per session)
  • Include context: "You saved this 3 months ago when researching X"

6. Never Delete Without Asking

  • Old items → mark as "possibly outdated", don't delete
  • Duplicates → merge, keep both URLs
  • Project closed → archive to cold storage, don't remove

7. Differentiation from Other Skills

This skill What it does NOT this
archive Preserves external content as snapshots memory (agent context)
archive Captures full content for permanence bookmark (just URLs)
archive Stores raw material second-brain (processed knowledge)
archive Immutable snapshots pkm (evolving notes)

Scope

This skill ONLY:

  • Stores content user explicitly sends to archive
  • Searches within archived content
  • Surfaces related items when contextually relevant

This skill NEVER:

  • Monitors or observes without explicit request
  • Deletes content without confirmation
  • Modifies original archived content
  • Accesses external services without user action

Data Storage

All data in ~/archive/. Create on first use:

mkdir -p ~/archive/items ~/archive/projects