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mnemonicsmnemonics 搜索

Agent Skill

mnemonics 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

808

周安装

34

GitHub Stars

11

下载量

283
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:mnemonics(mnemonics 搜索)
来源仓库:https://github.com/5kahoisaac/opencode-historian
仓库路径:skills/mnemonics
安装命令:
npx skills add https://github.com/5kahoisaac/opencode-historian --skill mnemonics
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/5kahoisaac/opencode-historian --skill mnemonics

简介

用于查找、检索和筛选相关信息,适合基于关键词或场景定位内容。

  • 支持多轮交互和结果精炼,便于 Agent 在复杂任务中提取关键事实。
  • 通过 GitHub 安装,需确认是否会触发联网或执行系统命令。
  • 权限和稳定性未经验证,建议在使用前测试小规模用例。
  • 适用于 Codex、Claude、Cursor 和 Gemini CLI,功能依赖仓库具体实现。

SKILL.md

Mnemonics: Memory Management via Historian

CRITICAL: You Must Use @historian

Memory tools are ONLY available via the @historian subagent. You CANNOT call these tools directly:

  • memory_remember - Create or update memories
  • memory_recall - Search and retrieve memories
  • memory_forget - Delete memories
  • memory_list_types - List available memory types
  • memory_sync - Rebuild the search index

Always delegate to historian:

@historian remember that we decided on PostgreSQL for the database
@historian what did we decide about authentication?

Memory Types

TypeUse ForExample
architectural-decisionSystem architecture choices"Using PostgreSQL with read replicas for scaling"
design-decisionUI/UX decisions"Card layout for dashboard, 3 columns on desktop"
learningLessons and discoveries"Bun's native TS support removes build step need"
user-preferenceUser preferences"User prefers dark mode, tabs not spaces"
project-preferenceTeam conventions"We use conventional commits, PR reviews required"
issueKnown problems"Rate limiting not implemented yet, tracking in #42"
contextGeneral context (default)"Project started Feb 2026, MVP target Q2"
recurring-patternReusable patterns"Error handling: wrap in try/catch, return {error}"
conventions-patternCoding standards"Use named exports, avoid default exports"
Note: Projects may define custom memory types via configuration. Always use @historian list all memory types available to see the complete list for the current project.

When to Delegate to Historian

Remember (create/update):

  • After making a significant architectural or design decision
  • User states a preference about how they work
  • Discovering something important about the codebase or tools
  • Learning a lesson that should persist across sessions

Recall (search/retrieve):

  • Starting a new session → recall relevant context
  • User asks "what did we decide about X?"
  • Need to check if a decision was already made
  • Looking for known issues or patterns

Forget (delete):

  • User wants to remove outdated or incorrect memories
  • Cleaning up duplicated or irrelevant entries

Sync (reindex):

  • After manually editing memory files in .mnemonics/
  • When search results seem outdated

Example Prompts

Remembering

@historian remember that we decided on JWT auth with 15-min expiry
@historian save this learning: Bun handles TypeScript natively without compilation
@historian note that the user prefers minimal UI animations
@historian store this as an architectural-decision: we're using event sourcing for the audit log

Recalling

@historian what did we decide about authentication?
@historian recall any known issues with the API
@historian what are my preferences for this project?
@historian show all architectural decisions
@historian find memories about database choices

Managing

@historian list all memory types available
@historian forget the memory about the old API design
@historian sync the index to include recent memory files

How It Works

  1. Memories are stored in .mnemonics/{type}/{title}.md as markdown files with YAML frontmatter
  2. Indexing is automatic via qmd (hybrid BM25 + vector search)
  3. Historian handles classification, deduplication, and semantic search
  4. Files are git-friendly - commit them to share across team

Best Practices

  1. Be specific in titles - "qmd-cli-for-writes" not "important decision"
  2. Let historian classify - it will search first to avoid duplicates
  3. Recall before deciding - check if a decision already exists
  4. Commit memory files - they're part of project knowledge

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

37.42%
按下载量换算106

Claude

30.66%
按下载量换算87

Cursor

19.96%
按下载量换算56

Gemini CLI

9.56%
按下载量换算27

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。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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