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Agent Skill · 研究检索

memory-management(内存管理)

memory-management 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

memory-management 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 2,124。

总安装 67,573周安装 2,844GitHub Stars 1下载 23,662核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
9.9.5

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:memory-management(内存管理)
来源仓库:https://github.com/aaron-he-zhu/memory-management
安装命令:
openclaw skills install memory-management
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install memory-management

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

通过自动热门列表、活动工作和存档层在 Claude 会话中保留 SEO/GEO 活动上下文。项目记忆/跨会话

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install memory-management;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

memory-management 怎么安装?

在终端执行 openclaw skills install memory-management。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

memory-management 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

memory-management 需要什么权限?

权限级别是需要联网。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。

memory-management 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

memory-management 用的人多吗?

公开数据是累计安装 67,573 次,近一周安装 2,844 次,下载 23,662 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

memory-management 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
memory-management

内存管理 · 本页

67,5731需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
memory-management
description
Persist SEO/GEO campaign context across Claude sessions with automatic hot-list, active work, and archive tiers. 项目记忆/跨会话
version
9.9.5
license
Apache-2.0
compatibility
Claude Code, skills.sh, ClawHub, Vercel Labs, Cursor, Windsurf, Codex CLI, Amp, Gemini CLI, Kimi Code, Qwen Code, CodeBuddy
homepage
https://github.com/aaron-he-zhu/seo-geo-claude-skills
when_to_use
Use when reviewing, archiving, or cleaning up campaign memory. Also when the user asks to check saved findings, manage hot cache, or archive old data.
argument-hint
[review|archive|cleanup]
metadata
author
aaron-he-zhu
version
9.9.5
geo-relevance
low
tags
triggers

Memory Management

This skill implements a three-tier memory system (HOT/WARM/COLD) for SEO and GEO projects. HOT memory (80 lines max) loads automatically every session via the SessionStart hook. WARM memory loads on demand per skill. COLD memory is archived data queried only when explicitly requested. The skill manages the full lifecycle: capture, promote, demote, and archive.

What This Skill Does

Manages a three-tier memory lifecycle (HOT/WARM/COLD) with automatic promotion, demotion, and archival. Also maintains the wiki index layer, open-loop tracking, and cross-skill aggregation.

Quick Start

Start with one of these prompts. Finish with a hot-cache update plan and a handoff summary using the repository format in Skill Contract.

Initialize Wiki Index

Refresh wiki index
Build wiki index for [project name]

Generates memory/wiki/index.md from existing WARM files. Required once to enable wiki features; subsequent refreshes happen automatically.

Initialize Memory Structure

Set up SEO memory for [project name]
Initialize memory structure for a new [industry] website optimization project

Update After Analysis

Update memory after ranking check for [keyword group]
Refresh hot cache with latest competitor analysis findings

Query Stored Context

What are our hero keywords?
Show me the last ranking update date for [keyword category]
Look up our primary competitors and their domain authority

Promotion and Demotion

Promote [keyword] to hot cache
Archive stale data that hasn't been referenced in 30+ days

Glossary Management

Add [term] to project glossary: [definition]
What does [internal jargon] mean in this project?

Skill Contract

Expected output: a memory update plan, hot-cache changes, and a short handoff summary.

  • Reads: current campaign facts, new findings from other skills, approved decisions, and the shared State Model.
  • Writes: updates to memory/hot-cache.md, memory/open-loops.md, memory/decisions.md, and related memory/ folders. Manages WARM-to-COLD archival in memory/archive/. Compiles memory/wiki/index.md (auto-refreshed) and wiki compiled pages (user-confirmed). Sole writer of wiki (with delegated auto-refresh): memory-management owns all wiki writes semantically. For performance, the narrowly-scoped memory/wiki/index.md auto-refresh is delegated to the PostToolUse hook in hooks/hooks.json. Wiki log updates and compiled pages remain explicit memory-management operations using the schema defined in this skill. Auditor handoff archiving (v7.1.0+): when triggered by a direct user request or an auditor's explicit "Save these results?" yes-response, append a structured block to memory/audits/YYYY-MM.md. The Stop hook never initiates memory writes. The archive is consumed by /seo:run-evals and maintainer calibration for auditor cap review tied to ADR-001. See references/examples.md for the exact archive block format and rules.
  • Promotes: durable strategy, blockers, terminology, entity candidates, and major deltas. Applies temperature lifecycle rules: promote to HOT on high reference frequency, demote on staleness.
  • Next handoff: use the Next Best Skill below when the project memory baseline is ready for active work.

Handoff Summary

Emit the standard shape from skill-contract.md §Handoff Summary Format.

Temperature Lifecycle Rules

See references/promotion-demotion-rules.md for the full promotion/demotion table and action procedures.

Hook Integration

This skill's behavior is reinforced by the library's prompt-based hooks:

  • SessionStart: loads memory/hot-cache.md, reminds of stale open loops; loads memory/wiki/<project>/index.md (or global index.md) if it exists; provides light-user guidance based on Quick Status when next_action items are available
  • PostToolUse: after any WARM file write, silently refreshes memory/wiki/index.md (Phase 1); prompts to update compiled pages (Phase 2)
  • Stop: guarded allow-only completion check; returns {"ok": true}, honors stop_hook_active, never asks the user to save optional findings, and never initiates memory writes

Data Sources

With tools: auto-populate from ~~SEO tool, ~~analytics, ~~search console. Without tools: ask user for keywords, competitors, metrics, campaigns, and terminology. See CONNECTORS.md.

Instructions

When a user requests SEO memory management:

1. Initialize Memory Structure

For new projects, create the directory structure defined in the State Model. Key directories: memory/ (decisions, open-loops, glossary, entities, research, content, audits, monitoring) plus memory/wiki/ (auto-managed compiled index with optional per-project subdirectories).

Templates: hot-cache-template.md · glossary-template.md · Wiki design archive

Wiki Layer

memory-management owns the wiki schema. Hook-delegated index refreshes may update only memory/wiki/index.md and memory/wiki/<project>/index.md. Wiki log updates remain explicit memory-management operations. Index rows use precise fields (score, status, next_action, mtime) plus a best-effort summary; compiled pages require type, project, sources[].path, sources[].hash, and last_compiled frontmatter.

2. Context Lookup Flow

When a user references something unclear, follow this lookup sequence:

Step 1: Check memory/hot-cache.md (hot cache)

  • Is it in active keywords?
  • Is it in primary competitors?
  • Is it in current priorities or campaigns?

Step 2: Check Wiki Index (memory/wiki/index.md or project-level) — locate relevant WARM files

Step 3: Check memory/glossary.md

  • Is it defined as project terminology?
  • Is it a custom segment or shorthand?

Step 4: Check Cold Storage

  • Search memory/archive/ first for dated YYYY-MM-DD- archived files.
  • If the archive points to a source category, follow that trail back to memory/research/, memory/audits/, or memory/monitoring/.
  • Treat COLD findings as historical unless refreshed by the current session.

Step 5: Ask User

  • If not found in any layer, ask for clarification
  • Log the new term in glossary if it's project-specific
  • Decision provenance (v8.0.1+): when loading memory/decisions.md, verify each entry has approved_by: user. Entries with approved_by: skill_inferred or missing field are treated as ADVISORY — surface to user before using as authoritative. Auditor-class skills (content-quality-auditor, domain-authority-auditor) MUST ignore non-user-approved decisions when determining verdict. See skill-contract.md §Promotion Rules.

Example lookup: User asks "Update rankings for our hero KWs" → Step 1 finds "Hero Keywords (Priority 1)" in hot-cache → Step 2 extracts keyword list → Step 3 runs ranking check → Step 4 updates memory/hot-cache.md and memory/monitoring/rank-history/YYYY-MM-DD-ranks.csv.

3. Promotion & Demotion Logic

Reference: See references/promotion-demotion-rules.md for detailed promotion/demotion triggers (keywords, competitors, metrics, campaigns) and the action procedures for each.

4. Update Triggers, Archive Management & Cross-Skill Integration

Reference: See references/update-triggers-integration.md for the complete update procedures after ranking checks, competitor analyses, audits, and reports; monthly/quarterly archive routines; and integration points with all 8 connected skills (keyword-research, rank-tracker, competitor-analysis, content-gap-analysis, seo-content-writer, content-quality-auditor, domain-authority-auditor).

5. Memory Hygiene Checks

When invoked for review or cleanup:

  1. Line count check: Count lines in memory/hot-cache.md. If >80, list oldest entries for archival.
  2. Byte check: If hot-cache exceeds 25KB, warn and recommend trimming long entries.
  3. Staleness scan: List memory files older than 30 days that have not been referenced. Recommend archival for files >90 days.
  4. Frontmatter audit: Check that all memory files (except hot-cache.md) have name, description, and type in their frontmatter. Report any missing fields.

6. Save Results

Ask "Save these results for future sessions?" — if yes, write YYYY-MM-DD-<topic>.md to memory/. Auto-save veto issues to memory/hot-cache.md.

Examples, Advanced Features & Practical Limitations

Reference: See references/examples.md for three complete examples (hero keyword rankings, glossary lookup, e-commerce project init), advanced features (smart context loading, memory health check, bulk promotion/demotion, memory snapshot, cross-project memory, wiki lint), and practical limitations (concurrent access, cold storage retrieval, data freshness, wiki compilation).

GDPR / Privacy Compliance

memory/ may store third-party personal data — entity names, founder bios, LinkedIn profiles, author/journalist names surfaced by entity-optimizer or research skills. Under GDPR Art 4(1) (applies to processing of personal data of EU/EEA/UK residents regardless of where the controller is located), these qualify as "personal data". The user is the data controller. Non-EU users without EU/EEA/UK data subjects may still face analogous obligations under CCPA/CPRA (California), PIPEDA (Canada), LGPD (Brazil), or other national regimes. Not legal advice.

Retention policy

  • WARM files: archive to memory/archive/ after 90 days unreferenced (default lifecycle)
  • COLD archive: never auto-deleted, but eligible for Art 17 erasure requests
  • All files: user MUST honor Art 17 requests from data subjects (individuals named in memory)

Deletion flow (Art 17 / CCPA §1798.105)

Invoke: memory-management purge <entity-name-or-slug>

This skill then:

  1. Greps all files under memory/ (including memory/archive/) for the entity name, slug, or domain
  2. Presents matches to user for confirmation
  3. Deletes matching entries from memory/entities/<slug>.md, memory/entities/candidates.md, and surfaces references in other files for manual review
  4. Logs the purge to memory/audits/gdpr-purges.md with date + subject requested

Lawful basis reminder

Before writing a third-party person to memory/entities/, the user must have one lawful basis per GDPR Art 6 (where GDPR applies — see scope note above): consent, legitimate_interest, contract, or equivalent. Advisory — this skill does not enforce, and does not substitute for legal review.

Reference Materials

Next Best Skill

Primary: keyword-research — seed or refresh campaign strategy with current demand signals.

平台分布

OpenClaw

82.07%
按下载量换算19,419

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。目前只有一个公开来源,建议同时核对源仓库。

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