codesight-ai-context

Universal AI context generator that compiles codebase maps, wiki knowledge bases, and MCP tools to save thousands of tokens per AI conversation.

22 stars

Best use case

codesight-ai-context is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Universal AI context generator that compiles codebase maps, wiki knowledge bases, and MCP tools to save thousands of tokens per AI conversation.

Teams using codesight-ai-context should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/codesight-ai-context/SKILL.md --create-dirs "https://raw.githubusercontent.com/Aradotso/trending-skills/main/skills/codesight-ai-context/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/codesight-ai-context/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How codesight-ai-context Compares

Feature / Agentcodesight-ai-contextStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Universal AI context generator that compiles codebase maps, wiki knowledge bases, and MCP tools to save thousands of tokens per AI conversation.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# CodeSight — AI Context Generator

> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection.

CodeSight compiles your codebase into a compact, structured context map (routes, models, components, dependencies) that AI coding assistants can read in one shot — eliminating thousands of tokens spent on manual file exploration. Supports 14 languages, 30+ frameworks, 13 ORM parsers, and an MCP server with 13 tools.

## Installation

No installation required. Run directly with `npx`:

```bash
npx codesight
```

Or install globally:

```bash
npm install -g codesight
codesight
```

**Requirements:** Node.js >= 18, no API keys, no config files needed.

## Core Commands

```bash
# Generate context map (default — outputs .codesight/CODESIGHT.md)
npx codesight

# Generate persistent wiki knowledge base (.codesight/wiki/)
npx codesight --wiki

# Generate AI tool config files (CLAUDE.md, .cursorrules, codex.md, AGENTS.md)
npx codesight --init

# Open interactive HTML report in browser
npx codesight --open

# Start as MCP server (13 tools) for Claude Code / Cursor
npx codesight --mcp

# Show blast radius for a specific file
npx codesight --blast src/lib/db.ts

# Generate optimized config for a specific AI tool
npx codesight --profile claude-code
npx codesight --profile cursor
npx codesight --profile copilot
npx codesight --profile codex

# Show token savings breakdown
npx codesight --benchmark

# Map markdown knowledge base (ADRs, meeting notes, Obsidian vault)
npx codesight --mode knowledge
npx codesight --mode knowledge ~/vault
npx codesight --mode knowledge ./docs

# Watch mode — regenerate on file changes
npx codesight --watch

# Git hook — regenerate on every commit
npx codesight --hook
```

## What Gets Generated

### Default Scan (`npx codesight`)

Outputs `.codesight/CODESIGHT.md` — a structured map including:
- Project metadata (stack, language, framework, package manager)
- All routes with HTTP methods and handler locations
- Database models with fields and relations
- UI components with props
- High-impact files ranked by dependency count
- Framework and ORM detection results

### Wiki Knowledge Base (`--wiki`)

Outputs `.codesight/wiki/` directory:

```
.codesight/wiki/
  index.md      — catalog of all articles (~200 tokens)
  overview.md   — architecture, subsystems, high-impact files
  auth.md       — auth routes, middleware, session flow
  payments.md   — payment routes, webhook handling, billing flow
  database.md   — all models, fields, relations
  users.md      — user management routes and models
  ui.md         — UI components with props
  log.md        — append-only operation log
```

### AI Tool Config Files (`--init`)

Generates project-root files for each AI tool:
- `CLAUDE.md` — Claude Code project instructions
- `.cursorrules` — Cursor rules file
- `codex.md` — OpenAI Codex context
- `AGENTS.md` — general agent instructions

## MCP Server Mode

Start CodeSight as an MCP server to give Claude Code or Cursor direct tool access:

```bash
npx codesight --mcp
```

### MCP Tool Reference

| Tool | Description |
|---|---|
| `codesight_get_context` | Full codebase context map |
| `codesight_get_routes` | All API routes with methods and handlers |
| `codesight_get_models` | All database models and schema |
| `codesight_get_components` | UI components with props |
| `codesight_get_blast_radius` | Impact analysis for a specific file |
| `codesight_get_high_impact_files` | Files ranked by dependency count |
| `codesight_get_framework_info` | Detected frameworks and ORMs |
| `codesight_get_wiki_index` | Wiki catalog (~200 tokens) for session start |
| `codesight_get_wiki_article` | Read one wiki article by name |
| `codesight_lint_wiki` | Wiki health check (orphans, stale, missing links) |
| `codesight_get_knowledge` | Knowledge map from markdown notes |
| `codesight_benchmark` | Token savings analysis |
| `codesight_get_overview` | Project overview summary |

### Configuring MCP in Claude Code

Add to your Claude Code MCP config (`~/.claude/mcp_settings.json` or project `.mcp.json`):

```json
{
  "mcpServers": {
    "codesight": {
      "command": "npx",
      "args": ["codesight", "--mcp"],
      "cwd": "/path/to/your/project"
    }
  }
}
```

### Configuring MCP in Cursor

Add to `.cursor/mcp.json` in your project root:

```json
{
  "mcpServers": {
    "codesight": {
      "command": "npx",
      "args": ["codesight", "--mcp"]
    }
  }
}
```

## Language & Framework Support

| Language | AST Precision | Frameworks Detected |
|---|---|---|
| TypeScript | ✅ Full AST | Next.js, NestJS, Hono, Remix, SvelteKit, Nuxt, Express, Fastify |
| JavaScript | Regex | Express, Fastify, Koa, Hapi |
| Python | Regex | Django, FastAPI, Flask, SQLAlchemy |
| Go | Regex | Gin, Echo, Fiber, Chi |
| Ruby | Regex | Rails, Sinatra |
| PHP | Regex | Laravel, Symfony |
| Elixir | Regex | Phoenix |
| Java | Regex | Spring Boot |
| Kotlin | Regex | Ktor, Spring Boot |
| Rust | Regex | Axum, Actix |
| Dart | Regex | Flutter |
| Swift | Regex | Vapor |
| C# | Regex | ASP.NET Core |

## ORM / Database Support

Drizzle, Prisma, TypeORM, Sequelize, Mongoose, MikroORM, SQLAlchemy, Django ORM, ActiveRecord, Eloquent, Ecto, GORM, and more (13 total).

## Real Usage Patterns

### Pattern 1: Session Start with Wiki

At the beginning of every AI session, load the wiki index instead of the full context map:

```
# In Claude Code or Cursor, at session start:
Use codesight_get_wiki_index to get project overview, 
then codesight_get_wiki_article for "auth" to understand authentication.
```

### Pattern 2: Blast Radius Before Refactoring

Before modifying a shared file, check what breaks:

```bash
npx codesight --blast src/lib/database.ts
```

Output shows every file that imports the target, ranked by impact — critical before refactoring database connections, shared utilities, or types.

### Pattern 3: CI/CD Integration

Keep context fresh on every push:

```yaml
# .github/workflows/codesight.yml
name: Update AI Context
on:
  push:
    branches: [main]

jobs:
  update-context:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: '20'
      - name: Generate context map
        run: npx codesight
      - name: Generate wiki
        run: npx codesight --wiki
      - name: Generate knowledge map
        run: npx codesight --mode knowledge ./docs
      - name: Commit updated context
        run: |
          git config --local user.email "action@github.com"
          git config --local user.name "GitHub Action"
          git add .codesight/
          git diff --staged --quiet || git commit -m "chore: update AI context [skip ci]"
          git push
```

### Pattern 4: Git Hook for Local Freshness

```bash
npx codesight --hook
```

This installs a post-commit hook that regenerates `.codesight/CODESIGHT.md` automatically after every commit.

### Pattern 5: Knowledge Mapping for Decision Records

```bash
# Map ADRs and architecture docs
npx codesight --mode knowledge ./docs/decisions

# Map full Obsidian vault
npx codesight --mode knowledge ~/vault

# Outputs .codesight/KNOWLEDGE.md with:
# - Key decisions extracted from ADR files
# - Open questions surfaced from notes
# - Meeting notes indexed by date
# - Specs and PRDs cataloged
```

## Consuming the Output in AI Sessions

### Loading Context in Claude Code (manual)

```
Read .codesight/CODESIGHT.md for project context before answering questions.
```

### Loading Wiki at Session Start

```
Read .codesight/wiki/index.md first. 
Then read the relevant article (e.g. .codesight/wiki/auth.md) 
only when questions about that domain arise.
```

### Loading Combined Context

```
Read .codesight/CODESIGHT.md for code structure and 
.codesight/KNOWLEDGE.md for architectural decisions.
```

## Token Savings Reference

| Approach | Tokens per session | Savings vs baseline |
|---|---|---|
| Manual file exploration | 26K–47K | baseline |
| `npx codesight` (context map) | 3K–5K | **7x–12x** |
| `--wiki` targeted article | ~200 + ~300/question | **60x–130x** |

Real benchmark results from production codebases:

| Project | Stack | Files | Output Tokens | Exploration Tokens | Savings |
|---|---|---|---|---|---|
| SaaS A | Hono + Drizzle | 138 | 3,936 | 46,020 | **11.7x** |
| SaaS B | Hono + Drizzle (monorepo) | 53 | 3,629 | 26,130 | **7.2x** |
| SaaS C | FastAPI + MongoDB | 40 | 4,162 | 47,450 | **11.4x** |
| Rails app | Rails + ActiveRecord | 4,172 | 21,711 | 386,100 | **17.8x** |
| Laravel app | Laravel + Eloquent | 3,896 | 30,739 | 493,285 | **16x** |

## .codesight Directory Structure

```
.codesight/
  CODESIGHT.md       — main context map (commit this)
  KNOWLEDGE.md       — knowledge/decision map (commit this)
  wiki/
    index.md         — wiki catalog (commit this)
    overview.md
    auth.md
    database.md
    payments.md
    users.md
    ui.md
    log.md
```

Add `.codesight/` to git to persist context across sessions and team members. The wiki survives session restarts — every new conversation starts with full codebase knowledge from the first message.

## Troubleshooting

**Routes not detected:**
- Ensure you're running from the project root (where `package.json` or equivalent lives)
- TypeScript projects get full AST parsing; other languages use regex — check that route files follow standard framework conventions
- For Python FastAPI, ensure router files use standard `@app.get()` / `@router.post()` decorators

**Models showing 0 for MongoDB:**
- This is correct behavior — codesight parses SQL ORM declarations. MongoDB collections without Mongoose schemas won't appear. Define Mongoose schemas explicitly to get model detection.

**Wiki articles missing:**
- Run `npx codesight --wiki` first to generate the wiki directory
- Use `codesight_lint_wiki` MCP tool or check `.codesight/wiki/log.md` for generation errors

**Large monorepos (10K+ files) are slow:**
- Add a `.codesightignore` file (same syntax as `.gitignore`) to exclude build artifacts, generated files, and `node_modules` subdirectories
- Typical scan time: 186ms–890ms for projects under 5K files

**MCP server not connecting:**
- Verify Node.js >= 18: `node --version`
- Check `cwd` in MCP config points to the actual project root
- Run `npx codesight --mcp` manually first to confirm it starts without errors

**`--init` overwrites existing CLAUDE.md:**
- Back up existing files before running `--init` on a project with custom AI instructions
- Generated files are additive starting points — merge with your existing content manually

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