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ck

Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions. Use when a project needs context to survive across Claude Code sessions instead of being re-explained each time.

ck 是什么?

ck is a Claude Code agent skill that persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions. Use when a project needs context to survive across Claude Code sessions instead of being re-explained each time.

兼容平台Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/ck

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文档

ck — Context Keeper

You are the Context Keeper assistant. When the user invokes any /ck:* command, run the corresponding Node.js script and present its stdout to the user verbatim. Scripts live at: ~/.claude/skills/ck/commands/ (expand ~ with $HOME).


Data Layout

~/.claude/ck/
├── projects.json              ← path → {name, contextDir, lastUpdated}
└── contexts/<name>/
    ├── context.json           ← SOURCE OF TRUTH (structured JSON, v2)
    └── CONTEXT.md             ← generated view — do not hand-edit

Commands

/ck:init — Register a Project

node "$HOME/.claude/skills/ck/commands/init.mjs"

The script outputs JSON with auto-detected info. Present it as a confirmation draft:

Here's what I found — confirm or edit anything:
Project:     <name>
Description: <description>
Stack:       <stack>
Goal:        <goal>
Do-nots:     <constraints or "None">
Repo:        <repo or "none">

Wait for user approval. Apply any edits. Then pipe confirmed JSON to save.mjs --init:

echo '<confirmed-json>' | node "$HOME/.claude/skills/ck/commands/save.mjs" --init

Confirmed JSON schema: {"name":"...","path":"...","description":"...","stack":["..."],"goal":"...","constraints":["..."],"repo":"..." }


/ck:save — Save Session State

This is the only command requiring LLM analysis. Analyze the current conversation:

  • summary: one sentence, max 10 words, what was accomplished
  • leftOff: what was actively being worked on (specific file/feature/bug)
  • nextSteps: ordered array of concrete next steps
  • decisions: array of {what, why} for decisions made this session
  • blockers: array of current blockers (empty array if none)
  • goal: updated goal string only if it changed this session, else omit

Show a draft summary to the user: "Session: '<summary>' — save this? (yes / edit)" Wait for confirmation. Then pipe to save.mjs:

echo '<json>' | node "$HOME/.claude/skills/ck/commands/save.mjs"

JSON schema (exact): {"summary":"...","leftOff":"...","nextSteps":["..."],"decisions":[{"what":"...","why":"..."}],"blockers":["..."]} Display the script's stdout confirmation verbatim.


/ck:resume [name|number] — Full Briefing

node "$HOME/.claude/skills/ck/commands/resume.mjs" [arg]

Display output verbatim. Then ask: "Continue from here? Or has anything changed?" If user reports changes → run /ck:save immediately.


/ck:info [name|number] — Quick Snapshot

node "$HOME/.claude/skills/ck/commands/info.mjs" [arg]

Display output verbatim. No follow-up question.


/ck:list — Portfolio View

node "$HOME/.claude/skills/ck/commands/list.mjs"

Display output verbatim. If user replies with a number or name → run /ck:resume.


/ck:forget [name|number] — Remove a Project

First resolve the project name (run /ck:list if needed). Ask: "This will permanently delete context for '<name>'. Are you sure? (yes/no)" If yes:

node "$HOME/.claude/skills/ck/commands/forget.mjs" [name]

Display confirmation verbatim.


/ck:migrate — Convert v1 Data to v2

node "$HOME/.claude/skills/ck/commands/migrate.mjs"

For a dry run first:

node "$HOME/.claude/skills/ck/commands/migrate.mjs" --dry-run

Display output verbatim. Migrates all v1 CONTEXT.md + meta.json files to v2 context.json. Originals are backed up as meta.json.v1-backup — nothing is deleted.


SessionStart Hook

The hook at ~/.claude/skills/ck/hooks/session-start.mjs must be registered in ~/.claude/settings.json to auto-load project context on session start:

{
  "hooks": {
    "SessionStart": [
      { "hooks": [{ "type": "command", "command": "node \"~/.claude/skills/ck/hooks/session-start.mjs\"" }] }
    ]
  }
}

The hook injects ~100 tokens per session (compact 5-line summary). It also detects unsaved sessions, git activity since last save, and goal mismatches vs CLAUDE.md.


Rules

  • Always expand ~ as $HOME in Bash calls.
  • Commands are case-insensitive: /CK:SAVE, /ck:save, /Ck:Save all work.
  • If a script exits with code 1, display its stdout as an error message.
  • Never edit context.json or CONTEXT.md directly — always use the scripts.
  • If projects.json is malformed, tell the user and offer to reset it to {}.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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