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savesave 搜索

Agent Skill

save 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

1,512

周安装

63

GitHub Stars

3,716

下载量

504
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:save(save 搜索)
来源仓库:https://github.com/agricidaniel/claude-obsidian
仓库路径:skills/save
安装命令:
npx skills add https://github.com/agricidaniel/claude-obsidian --skill save
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/agricidaniel/claude-obsidian --skill save

简介

save 将对话中的决策与洞察自动保存为永久维基条目。

  • 支持按类型分类归档,促进知识累积与复用。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。
  • 避免信息淹没于聊天记录,强化团队记忆资产。
  • 应在关键结论形成后及时调用,确保内容结构化存储。
  • save 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

save: File Conversations Into the Wiki

Good answers and insights shouldn't disappear into chat history. This skill takes what was just discussed and files it as a permanent wiki page.

The wiki compounds. Save often.


Note Type Decision

Determine the best type from the conversation content:

TypeFolderUse when
synthesiswiki/questions/Multi-step analysis, comparison, or answer to a specific question
conceptwiki/concepts/Explaining or defining an idea, pattern, or framework
sourcewiki/sources/Summary of external material discussed in the session
decisionwiki/meta/Architectural, project, or strategic decision that was made
sessionwiki/meta/Full session summary: captures everything discussed

If the user specifies a type, use that. If not, pick the best fit based on the content. When in doubt, use synthesis.


Save Workflow

  1. Scan the current conversation. Identify the most valuable content to preserve.
  2. Ask (if not already named): "What should I call this note?" Keep the name short and descriptive.
  3. Determine note type using the table above.
  4. Extract all relevant content from the conversation. Rewrite it in declarative present tense (not "the user asked" but the actual content itself).
  5. Create the note in the correct folder with full frontmatter.
  6. Collect links: identify any wiki pages mentioned in the conversation. Add them to related in frontmatter.
  7. Update wiki/index.md. Add the new entry at the top of the relevant section.
  8. Append to wiki/log.md. New entry at the TOP: ## [YYYY-MM-DD] save | Note Title - Type: [note type] - Location: wiki/[folder]/Note Title.md - From: conversation on [brief topic description]
  9. Update wiki/hot.md to reflect the new addition.
  10. Confirm: "Saved as [[Note Title]] in wiki/[folder]/."

Frontmatter Template

---
type: <synthesis|concept|source|decision|session>
title: "Note Title"
created: YYYY-MM-DD
updated: YYYY-MM-DD
tags:
  - <relevant-tag>
status: developing
related:
  - "[[Any Wiki Page Mentioned]]"
sources:
  - "[[.raw/source-if-applicable.md]]"
---

For question type, add:

question: "The original query as asked."
answer_quality: solid

For decision type, add:

decision_date: YYYY-MM-DD
status: active

Writing Style

  • Declarative, present tense. Write the knowledge, not the conversation.
  • Not: "The user asked about X and Claude explained..."
  • Yes: "X works by doing Y. The key insight is Z."
  • Include all relevant context. Future sessions should be able to read this page cold.
  • Link every mentioned concept, entity, or wiki page with wikilinks.
  • Cite sources where applicable: (Source: [[Page]]).

What to Save vs. Skip

Save:

  • Non-obvious insights or synthesis
  • Decisions with rationale
  • Analyses that took significant effort
  • Comparisons that are likely to be referenced again
  • Research findings

Skip:

  • Mechanical Q&A (lookup questions with obvious answers)
  • Setup steps already documented elsewhere
  • Temporary debugging sessions with no lasting insight
  • Anything already in the wiki

If it's already in the wiki, update the existing page instead of creating a duplicate.

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

36.96%
按下载量换算186

Claude

28.42%
按下载量换算143

Cursor

20%
按下载量换算101

Gemini CLI

8.7%
按下载量换算44

安全审计

Gen Agent Trust Hub

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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