superclaudeai 1.1.0

Bootstrap Claude Code knowledge architecture (CLAUDE.md, STANDARDS.md, QUICKSTART.md, ERRORS_AND_LESSONS.md)

Super-Claude

Bootstrap Claude Code knowledge architecture in any project directory.

Generates context-aware CLAUDE.md, STANDARDS.md, QUICKSTART.md, and ERRORS_AND_LESSONS.md files that help Claude Code understand your codebase.

Install & Run

# No install needed — run directly:
pipx run superclaudeai

# Or with uv:
uvx superclaudeai

# Or install globally:
pip install superclaudeai
super-claude

Usage

# Interactive setup in current directory
super-claude

# Specific directory
super-claude /path/to/project

# Preview without writing
super-claude --dry-run

# Overwrite existing files
super-claude --force

# Non-interactive (accept defaults)
super-claude --yes

# Output project analysis as JSON
super-claude --plan-json

# Also generate README.md
super-claude --with-readme

What It Does

1. Scans your project — detects language, framework, deploy targets, monorepo structure
2. Classifies project tier (T1-T4) based on blast radius
3. Extracts from existing documentation if present
4. Generates four files with context-aware content:
   • CLAUDE.md — project map, invariants, decision heuristics, verification standards
   • STANDARDS.md — governance rules, code quality gates, naming conventions
   • QUICKSTART.md — essential commands and quick fixes
   • ERRORS_AND_LESSONS.md — mistake catalog with rationalization table

Generated Content Highlights

• Iron Laws — bright-line rules that are never violated
• Decision Heuristics — 6 concrete rules for autonomous decision-making
• Stuck Protocol — explicit steps when 3+ approaches fail
• Red Flags — self-monitoring triggers to prevent common mistakes
• Rationalization Table — excuse→reality mapping to catch bad reasoning
• HARD-GATE tags — absolute non-negotiable rules
• Tier-based governance — process weight proportional to blast radius
• Defense-in-Depth debugging — 4-layer validation after bug fixes
• Git worktree guidance — parallel development patterns (for git repos)

Supported Stacks

Python, Node.js/TypeScript, Rust, Go, Ruby, Java/Kotlin, PHP, .NET, Elixir, Swift, Dart/Flutter, Zig, Scala

Supported Frameworks

Django, Flask, FastAPI, Next.js, React, Vue, Svelte, SvelteKit, Remix, Astro, Express, NestJS, Hono, Axum, Actix, Rocket, Gin, Fiber, Echo, Phoenix, Spring, Laravel, Flutter, and more.

Authors

• Ronaldo Lima
• Breno Lima

License

MIT