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manage-memory管理内存

Agent Skill

manage-memory 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

404

周安装

17

GitHub Stars

12

下载量

141
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:manage-memory(管理内存)
来源仓库:https://github.com/pjt222/development-guides
仓库路径:skills/manage-memory
安装命令:
npx skills add https://github.com/pjt222/development-guides --skill manage-memory
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/pjt222/development-guides --skill manage-memory

简介

用于查找、检索和筛选相关信息。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。

  • 适合在内存优化或资源规划场景中使用。
  • 通过 GitHub 安装,需确认权限和维护状态。
  • 可能触发联网或文件读写操作。manage-memory 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 建议结合原始 README 了解具体功能细节。

SKILL.md

Manage Memory

Maintain Claude Code's persistent memory directory so it stays accurate, concise, and useful across sessions. MEMORY.md is loaded into the system prompt on every conversation — lines after 200 are truncated, so this file must be a lean index pointing to topic files for detail.

When to Use

  • MEMORY.md is approaching the 200-line truncation threshold
  • A session produced durable insights worth preserving (new patterns, architecture decisions, debugging solutions)
  • A topic section in MEMORY.md has grown beyond 10-15 lines and should be extracted
  • Project state has changed (renamed files, new domains, updated counts) and memory entries may be stale
  • Starting a new area of work and checking whether relevant memory already exists
  • Periodic maintenance between sessions to keep the memory directory healthy

Inputs

  • Required: Access to the memory directory (typically ~/.claude/projects/<project-path>/memory/)
  • Optional: Specific trigger (e.g., "MEMORY.md is too long," "just finished a major refactor")
  • Optional: Topic to add, update, or extract

Procedure

Step 1: Assess Current State

Read MEMORY.md and list all files in the memory directory:

wc -l <memory-dir>/MEMORY.md
ls -la <memory-dir>/

Check the line count against the 200-line limit. Inventory existing topic files.

Expected: Clear picture of total lines, number of topic files, and which sections exist in MEMORY.md.

On failure: If the memory directory doesn't exist, create it. If MEMORY.md doesn't exist, create a minimal one with a # Project Memory header and a ## Topic Files section.

Step 2: Identify Stale Entries

Compare memory claims against current project state. Common staleness patterns:

  1. Count drift: File counts, skill counts, domain counts that changed after additions/removals
  2. Renamed paths: Files or directories that were moved or renamed
  3. Superseded patterns: Workarounds that are no longer needed after fixes
  4. Contradictions: Two entries that say different things about the same topic

Use Grep to spot-check key claims:

# Example: verify a skill count claim
grep -c "^      - id:" skills/_registry.yml
# Example: verify a file still exists
ls path/claimed/in/memory.md

Expected: A list of entries that are stale, with the correct current values.

On failure: If you can't verify a claim (e.g., it references external state you can't check), leave it but add a (unverified) note rather than silently preserving potentially wrong information.

Step 3: Decide What to Add

For new entries, apply these filters before writing:

  1. Durability: Will this be true next session? Avoid session-specific context (current task, in-progress work, temporary state).
  2. Non-duplication: Does CLAUDE.md or project documentation already cover this? Don't duplicate — memory is for things NOT captured elsewhere.
  3. Verified: Has this been confirmed across multiple interactions, or is it a single observation? For single observations, verify against project docs before writing.
  4. Actionable: Does knowing this change behavior? "The sky is blue" isn't useful. "Exit code 5 means quoting error — use temp files" changes how you work.

Exception: If the user explicitly asks to remember something, save it immediately — no need to wait for multiple confirmations.

Expected: A filtered list of entries worth adding, each meeting durability + non-duplication + verification + actionability criteria.

On failure: If unsure whether an entry is worth keeping, err toward keeping it briefly in MEMORY.md — it's easier to prune later than to rediscover.

Step 4: Extract Oversize Topics

When a section in MEMORY.md exceeds ~10-15 lines, extract it to a dedicated topic file:

  1. Create <memory-dir>/<topic-name>.md with a descriptive header
  2. Move the detailed content from MEMORY.md to the topic file
  3. Replace the section in MEMORY.md with a 1-2 line summary and a link:
## Topic Files
- [topic-name.md](topic-name.md) — Brief description of contents

Naming conventions for topic files:

  • Use lowercase kebab-case: viz-architecture.md, not VizArchitecture.md
  • Name by topic, not chronology: patterns.md, not session-2024-12.md
  • Group related items: combine "R debugging" and "WSL quirks" into patterns.md rather than creating one file per fact

Expected: MEMORY.md stays under 200 lines. Each topic file is self-contained and readable without MEMORY.md context.

On failure: If a topic file would be fewer than 5 lines, it's probably not worth extracting — leave it inline in MEMORY.md.

Step 5: Update MEMORY.md

Apply all changes: remove stale entries, add new entries, update counts, and ensure the Topic Files section lists all dedicated files.

MEMORY.md structure should follow this pattern:

# Project Memory

## Section 1 — High-level context
- Bullet points, concise

## Section 2 — Another topic
- Key facts only

## Topic Files
- [file.md](file.md) — What it covers

Guidelines:

  • Keep each bullet to 1-2 lines maximum
  • Use inline formatting (code, bold) for scanability
  • Put the most frequently needed context first
  • The Topic Files section should always be last

Expected: MEMORY.md is under 200 lines, accurate, and has working links to all topic files.

On failure: If you can't get under 200 lines after extraction, identify the least-frequently-used section and extract it. Every section is a candidate — even the project structure overview can go to a topic file if needed, leaving just a 1-line summary.

Step 6: Verify Integrity

Run a final check:

  1. Line count: Confirm MEMORY.md is under 200 lines
  2. Links: Verify every topic file referenced in MEMORY.md exists
  3. Orphans: Check for topic files not referenced in MEMORY.md
  4. Accuracy: Spot-check 2-3 factual claims against project state
wc -l <memory-dir>/MEMORY.md
# Check for broken links
for f in $(grep -oP '\[.*?\]\(\K[^)]+' <memory-dir>/MEMORY.md); do
  ls <memory-dir>/$f 2>/dev/null || echo "BROKEN: $f"
done
# Check for orphan files
ls <memory-dir>/*.md | grep -v MEMORY.md

Expected: Line count under 200, no broken links, no orphan files, spot-checked claims are accurate.

On failure: Fix broken links (update or remove). For orphan files, either add a reference in MEMORY.md or delete them if they're no longer relevant.

Validation

  • MEMORY.md is under 200 lines
  • All topic files referenced in MEMORY.md exist on disk
  • No orphan .md files in memory directory (every file is linked from MEMORY.md)
  • No stale counts or renamed paths in any memory file
  • New entries meet the durability/non-duplication/verified/actionable criteria
  • Topic files have descriptive headers and are self-contained
  • MEMORY.md reads as a useful quick-reference, not a changelog

Common Pitfalls

  • Memory file pollution: Writing every session observation to memory. Most findings are session-specific and don't need persisting. Apply the four filters (Step 3) before writing.
  • Stale counts: Updating code but not memory. Counts (skills, agents, domains, files) drift silently. Always verify counts against the source of truth before trusting memory.
  • Chronological organization: Organizing by "when I learned it" instead of "what it's about." Topic-based organization (patterns.md, viz-architecture.md) is far more useful for retrieval than date-based files.
  • Duplicating CLAUDE.md: CLAUDE.md is the authoritative project instruction file. Memory should capture things NOT in CLAUDE.md — debugging insights, architecture decisions, workflow preferences, cross-project patterns.
  • Over-extraction: Creating a topic file for every 3-line section. Only extract when a section exceeds ~10-15 lines. Small sections work fine inline.
  • Forgetting the 200-line limit: MEMORY.md is loaded into every system prompt. Lines after 200 are silently truncated. If the file grows past this, the bottom content is effectively invisible.

Related Skills

  • write-claude-md — CLAUDE.md captures project instructions; memory captures cross-session learning
  • prune-agent-memory — the inverse of manage-memory: auditing, classifying, and selectively forgetting stored memories
  • write-continue-here — write a structured continuation file for session handoff; complements memory as a short-term context bridge
  • read-continue-here — read and act on a continuation file at session start; the consumption side of the handoff
  • create-skill — new skills may produce memory-worthy patterns
  • heal — self-healing may update memory as part of integration step
  • meditate — meditation sessions may surface insights worth persisting

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

36.61%
按下载量换算52

Claude

31.37%
按下载量换算44

Cursor

18.83%
按下载量换算27

Gemini CLI

8.64%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。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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