claude-code-source-recovery
Skill for exploring and understanding the recovered Claude Code 2.1.88 TypeScript source code, including its CLI architecture, command system, MCP integration, and Ink/React terminal UI components.
What this skill does
# Claude Code 2.1.88 Source Recovery
> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection.
## What This Project Is
This repository contains the recovered TypeScript source code of `@anthropic-ai/claude-code` version 2.1.88. On 2026-03-31, Anthropic accidentally published a `cli.js.map` (57MB) source map to npm that contained the full `sourcesContent` of the bundled CLI. After extraction and reconstruction, the result is ~700,000 lines of TypeScript source code organized into a readable directory structure.
The project is useful for:
- Studying production CLI architecture patterns (Ink/React in terminal)
- Understanding how MCP (Model Context Protocol) is implemented in a real CLI
- Learning how Claude Code manages sessions, commands, authentication, and tool execution
---
## Repository Structure
```
src/
├── entrypoints/ # CLI bootstrap and initialization
├── commands/ # Command definitions (login, mcp, review, tasks, etc.)
├── components/ # Ink/React terminal UI components
├── services/ # Core business logic (sync, remote capabilities, policies)
├── hooks/ # Terminal state management hooks
├── utils/ # Auth, file ops, process management helpers
└── ink/ # Custom terminal rendering infrastructure
```
---
## Installing the Original 2.1.88 Package (Tencent Mirror Cache)
The official npm version was pulled. Use the Tencent mirror cache while available:
```bash
npm install -g https://mirrors.cloud.tencent.com/npm/@anthropic-ai/claude-code/-/claude-code-2.1.88.tgz
```
---
## Extracting Source from the Source Map
If you have the original `cli.js.map`, you can recover sources programmatically:
```typescript
import fs from "fs";
import path from "path";
import zlib from "zlib";
interface SourceMap {
version: number;
sources: string[];
sourcesContent: (string | null)[];
mappings: string;
}
async function extractSourceMap(mapPath: string, outDir: string) {
const raw = fs.readFileSync(mapPath, "utf-8");
const sourceMap: SourceMap = JSON.parse(raw);
for (let i = 0; i < sourceMap.sources.length; i++) {
const sourcePath = sourceMap.sources[i];
const content = sourceMap.sourcesContent[i];
if (!content) continue;
// Normalize path: strip webpack/bundle prefixes
const normalized = sourcePath
.replace(/^webpack:\/\/\//, "")
.replace(/^\.\//, "");
const outPath = path.join(outDir, normalized);
fs.mkdirSync(path.dirname(outPath), { recursive: true });
fs.writeFileSync(outPath, content, "utf-8");
}
console.log(`Extracted ${sourceMap.sources.length} source files to ${outDir}`);
}
extractSourceMap("cli.js.map", "./recovered-src");
```
---
## Key Architectural Patterns
### 1. CLI Entrypoint Bootstrap
```typescript
// src/entrypoints/cli.ts (representative pattern)
import { render } from "ink";
import React from "react";
import { App } from "../components/App";
import { parseArgs } from "../utils/args";
async function main() {
const args = parseArgs(process.argv.slice(2));
if (args.command) {
// Dispatch to named command handler
const handler = await loadCommand(args.command);
await handler.run(args);
} else {
// Default: launch interactive REPL via Ink
render(React.createElement(App, { initialArgs: args }));
}
}
main().catch((err) => {
console.error(err);
process.exit(1);
});
```
### 2. Command Loading System
Commands support built-in, dynamic skills, plugins, and MCP sources:
```typescript
// src/commands/loader.ts (representative pattern)
type CommandSource = "builtin" | "skill" | "plugin" | "mcp";
interface Command {
name: string;
source: CommandSource;
description: string;
run(args: ParsedArgs): Promise<void>;
}
async function loadCommand(name: string): Promise<Command> {
// 1. Check built-in commands first
const builtin = builtinCommands.get(name);
if (builtin) return builtin;
// 2. Check MCP-registered commands
const mcpCmd = await mcpRegistry.resolve(name);
if (mcpCmd) return mcpCmd;
// 3. Dynamic skill loading
const skill = await loadSkillCommand(name);
if (skill) return skill;
throw new Error(`Unknown command: ${name}`);
}
```
### 3. Ink/React Terminal UI Component Pattern
```typescript
// src/components/ChatView.tsx (representative pattern)
import React, { useState, useEffect } from "react";
import { Box, Text, useInput } from "ink";
import { useConversation } from "../hooks/useConversation";
interface ChatViewProps {
sessionId: string;
}
export function ChatView({ sessionId }: ChatViewProps) {
const { messages, sendMessage, isStreaming } = useConversation(sessionId);
const [input, setInput] = useState("");
useInput((char, key) => {
if (key.return) {
sendMessage(input);
setInput("");
} else if (key.backspace) {
setInput((prev) => prev.slice(0, -1));
} else {
setInput((prev) => prev + char);
}
});
return (
<Box flexDirection="column" height="100%">
<Box flexDirection="column" flexGrow={1} overflowY="hidden">
{messages.map((msg, i) => (
<Box key={i} marginBottom={1}>
<Text color={msg.role === "assistant" ? "cyan" : "white"}>
{msg.role === "assistant" ? "Claude: " : "You: "}
</Text>
<Text>{msg.content}</Text>
</Box>
))}
{isStreaming && <Text color="gray">▋</Text>}
</Box>
<Box borderStyle="single" paddingX={1}>
<Text>{">"} </Text>
<Text>{input}</Text>
</Box>
</Box>
);
}
```
### 4. MCP (Model Context Protocol) Integration
```typescript
// src/services/mcpClient.ts (representative pattern)
import { McpClient, Transport } from "@anthropic-ai/mcp";
interface McpServerConfig {
name: string;
command: string;
args: string[];
env?: Record<string, string>;
}
class McpRegistry {
private clients = new Map<string, McpClient>();
async connect(config: McpServerConfig): Promise<void> {
const transport = new StdioTransport({
command: config.command,
args: config.args,
env: { ...process.env, ...config.env },
});
const client = new McpClient({ name: "claude-code", version: "2.1.88" });
await client.connect(transport);
// Discover tools exposed by this MCP server
const { tools } = await client.listTools();
for (const tool of tools) {
this.registerTool(config.name, tool);
}
this.clients.set(config.name, client);
}
async callTool(serverName: string, toolName: string, args: unknown) {
const client = this.clients.get(serverName);
if (!client) throw new Error(`MCP server not connected: ${serverName}`);
return client.callTool({ name: toolName, arguments: args as Record<string, unknown> });
}
async resolve(commandName: string): Promise<Command | null> {
// Map MCP tool names to CLI commands
for (const [server, tools] of this.toolRegistry) {
const tool = tools.find((t) => t.name === commandName);
if (tool) {
return {
name: commandName,
source: "mcp",
description: tool.description ?? "",
run: async (args) => {
const result = await this.callTool(server, commandName, args);
console.log(result.content);
},
};
}
}
return null;
}
private toolRegistry = new Map<string, Array<{ name: string; description?: string }>>();
private registerTool(server: string, tool: { name: string; description?: string }) {
const existing = this.toolRegistry.get(server) ?? [];
this.toolRegistry.set(server, [...existing, tool]);
}
}
export const mcpRegistry = new McpRegistry();
```
### 5. Authentication Utilities
```typescript
// src/utils/auth.ts (representative pattern)
import fs from "fs";
import path from "path";
import os from "os";
const CONFIG_DIR = path.join(os.homedir(), ".claude");
const CREDENTIALS_FILE = path.join(CONFIG_DIRelated in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.