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project-memory项目记忆

Agent Skill

project-memory 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

514

周安装

21

GitHub Stars

公开资料未说明

下载量

165
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:project-memory(项目记忆)
来源仓库:https://github.com/abpai/skills
仓库路径:skills/project-memory
安装命令:
npx skills add https://github.com/abpai/skills --skill project-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/abpai/skills --skill project-memory

简介

project-memory 自动维护项目级学习记录,持续积累开发经验与上下文。

  • 适用于 GitHub 仓库协作、Issue 跟踪和代码变更管理场景。
  • 无需触发词即可运行,每次会话都会读取并更新 .agents/LEARNINGS.md 文件。
  • 安装命令:npx skills add https://github.com/abpai/skills --skill project-memory
  • 会读写本地文件,请确保有写入权限并注意敏感信息保护

SKILL.md

Project Memory

Maintain a per-project markdown memory file so future work improves over time.

This skill is always active. No trigger phrase is required.

Session Start

  1. Read .agents/LEARNINGS.md before doing any task work.
  2. Apply its guidance silently during execution.
  3. If it does not exist, create it with this template:
# LEARNINGS

## Corrections

| Date | Source | What Went Wrong | What To Do Instead |
| ---- | ------ | --------------- | ------------------ |

## User Preferences

- (accumulate here as you learn them)

## Patterns That Work

- (approaches that succeeded)

## Patterns That Don't Work

- (approaches that failed and why)

## Domain Notes

- (project/domain context that matters)

Adapt sections to fit the repo, but keep entries easy to scan.

Continuous Updates

Update .agents/LEARNINGS.md continuously while working, not only at session boundaries.

Add an entry immediately when:

  • You identify the cause of an error.
  • The user corrects your behavior or preferred approach.
  • You catch your own mistake.
  • An attempted approach fails.
  • A non-obvious approach works reliably.
  • You re-check project memory before a risky or previously error-prone step.

What To Log

Log anything that should change behavior in future sessions:

  • Self mistakes: wrong assumptions, misread code, failed commands, incorrect fixes.
  • User corrections: what was requested instead.
  • Tool or environment surprises.
  • User preferences: style, workflow, structure.
  • Reliable patterns: what worked and when.

Write entries that are specific and actionable.

Bad: Made an error Good: Assumed API returned a list; it returns a paginated object with.items

Maintenance

Every 5 to 10 sessions, or when file length exceeds about 150 lines:

  1. Merge redundant entries.
  2. Promote repeated corrections into User Preferences.
  3. Remove notes already captured by stable rules.
  4. Archive outdated or resolved items.
  5. Keep the file under 200 high-signal lines.

Examples

Self-caught mistake:

| 2026-02-06 | self | Passed (name, id) to createUser but signature is (id, name) | Check function signatures before calling; this repo does not use conventional arg ordering |

User correction:

| 2026-02-06 | user | Used relative imports | Use absolute imports from `src/` in this repo |

Update Check

On first use in a session, silently check for a newer version:

  1. Fetch https://raw.githubusercontent.com/abpai/skills/main/versions.json.
  2. Compare the version for project-memory against this file's metadata.version.
  3. If the remote version is newer, pause before the main task and ask: project-memory update available (local {X.Y} → remote {A.B}). Would you like me to update it for you first? I can run npx skills update project-memory for you.
  4. If the user says yes, run the update before continuing.
  5. If the user says no, continue with the current local version.
  6. If the fetch fails or web access is unavailable, skip silently.

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

36.65%
按下载量换算60

Claude

30.93%
按下载量换算51

Cursor

18.4%
按下载量换算30

Gemini CLI

8.54%
按下载量换算14

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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