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cass-memory卡斯内存

Agent Skill

cass-memory 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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

703

周安装

29

GitHub Stars

23

下载量

230
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

3

许可证

MIT

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:cass-memory(卡斯内存)
来源仓库:https://github.com/johnlindquist/claude
仓库路径:skills/cass-memory
安装命令:
npx skills add https://github.com/johnlindquist/claude --skill cass-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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/johnlindquist/claude --skill cass-memory

简介

用于构建个人编程模式库,记录任务中的错误、修正和经验教训。

  • 提供 cm context 命令获取相关规则与反模式,提升后续任务效率。
  • 支持多种 starter 模板(如 TypeScript、React),初始化后自动生成 playbook。
  • 依赖 cm CLI 工具,使用前需确保已安装并完成项目初始化。
  • cass-memory 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

CASS Memory - Contextual Learning System

Build and use a personal playbook of coding patterns learned from your sessions.

Prerequisites

The cm CLI should be available (part of cass-memory system).

Initialize:

cm init
# Or with a starter playbook
cm init --starter typescript
cm init --starter react
cm init --starter python
cm init --starter go

CLI Reference

Get Context for a Task

# THE main command - get relevant rules before starting work
cm context "Description of your task" --json

This returns:

  • Relevant rules from your playbook
  • Anti-patterns to avoid
  • History snippets from similar past work

Reflection (Extract Patterns)

# Run reflection on recent sessions
cm reflect --json

# Specify lookback period
cm reflect --days 7 --json
cm reflect --days 30 --json

Playbook Management

# List all rules
cm playbook list --json

# Get specific rule details
cm playbook get b-8f3a2c --json

# Add a new rule
cm playbook add "Always use optional chaining for nested object access" --json

Feedback on Rules

# Mark rule as helpful
cm mark b-8f3a2c --helpful --json
cm mark b-8f3a2c --helpful --reason "Prevented null error" --json

# Mark rule as harmful
cm mark b-8f3a2c --harmful --json
cm mark b-8f3a2c --harmful --reason "Caused false positive" --json

Record Session Outcomes

# Record success
cm outcome --status success --json
cm outcome --status success --rules "b-8f3a2c,b-4d2e1f" --json

# Record failure
cm outcome --status failure --text "Build failed due to type error" --json

# Mixed results
cm outcome --status mixed --text "Partial completion" --json

Statistics

# Get playbook stats
cm stats --json

Top Rules

# Show most effective rules
cm top --json
cm top 5 --json
cm top 20 --json

Health Check

# Check system health
cm doctor --json

# Auto-fix issues
cm doctor --fix --json

Find Stale Rules

# Rules without recent feedback
cm stale --json
cm stale --days 30 --json
cm stale --days 60 --json

Validate Rules

# Validate a proposed rule against history
cm validate "Proposed rule text" --json

Explain Rule Origin

# Show evidence and reasoning for a rule
cm why b-8f3a2c --json

Usage Statistics

cm usage --json

Starter Playbooks

# List available starters
cm starters --json

Workflow Patterns

Session Start

# Get context before starting a task
cm context "Implement user authentication with JWT" --json

During Work

When a rule helps:

cm mark b-8f3a2c --helpful --json

When a rule leads astray:

cm mark b-8f3a2c --harmful --reason "Not applicable to this framework" --json

Session End

# Record outcome
cm outcome --status success --rules "b-8f3a2c,b-4d2e1f" --json

Periodic Maintenance

# Weekly: Run reflection to extract new patterns
cm reflect --days 7 --json

# Monthly: Review stale rules
cm stale --days 30 --json

# Check system health
cm doctor --json

Building Your Playbook

# Manually add a pattern you've learned
cm playbook add "Use React.memo() for components receiving complex objects as props" --json

# After adding, use it in context queries
cm context "Create a list component with filtering" --json

Rule Lifecycle

  1. Creation - Rules emerge from reflection or manual addition
  2. Usage - Rules surface in context queries
  3. Feedback - Mark as helpful/harmful based on experience
  4. Evolution - High-feedback rules rise, low-feedback rules become stale
  5. Retirement - Stale rules get reviewed and pruned

Best Practices

  1. Always get context first - Run cm context "task" before starting work
  2. Provide feedback - Mark rules as helpful/harmful
  3. Record outcomes - Track session success/failure
  4. Run reflection regularly - Weekly reflection extracts new patterns
  5. Review stale rules - Don't let old rules accumulate
  6. Add rules manually - When you learn something important

Integration Tips

Pre-Task Context

Before any significant coding task:

CONTEXT=$(cm context "Your task description" --json)
# Use context to inform your approach

Post-Session Recording

At end of coding session:

cm outcome --status success --text "Completed feature X" --json

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

27.39%
按下载量换算63

OpenCode

22%
按下载量换算51

Antigravity

18.5%
按下载量换算43

Gemini CLI

11.23%
按下载量换算26

windsurf

6.93%
按下载量换算16

Cursor

3.03%
按下载量换算7

安全审计

Gen Agent Trust Hub

未通过

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

继续浏览同类 Skills