By anandsgit
Universal Development Lifecycle Engine — 41 commands, 26 flow presets, 10x recording & flow testing, design intelligence with 161 palettes, 57 fonts, and 99 UX guidelines.
Style DNA consumer and replicator — takes a StyleDNA YAML produced by /healer:imitate and applies it to a TARGET codebase. Reads the target's existing tokens/primitives/pages, computes a mapping plan (what tokens to write, which primitives to scaffold, which page compositions to echo), and optionally applies the plan. Three write modes: --plan-only (safe; produces ADAPTATION_PLAN.md and stops), --write-components (DEFAULT; writes tokens + primitives + compositions but does NOT clobber existing pages), --full (also rewrites target pages to echo source page compositions). Deterministic: same StyleDNA + same target SHA → same plan.
Atomic scaffolder for new healer commands — interactively prompts for all metadata, writes commands/<name>.md AND data/commands.yaml entry in one operation, runs validation, rebuilds index. Eliminates drift risk from manual two-place updates.
Analyze codebase health — patterns, tech debt, dependencies, and quality compared against industry best practices from online sources.
Research-augmented system architecture — service boundaries, infrastructure, scalability patterns, cost estimation, failure mode analysis, and security architecture informed by public postmortems, tech blogs, and current documentation.
Research-augmented security and quality audit — scans for OWASP top 10 vulnerabilities, accessibility issues, dependency vulnerabilities, and license conflicts using CVE databases and public advisories.
Modifies files
Hook triggers on file write and edit operations
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Universal Autonomous Codebase Health & Development Engine with Design Intelligence
44 commands | 27 flow presets | 36+ recipes | Karpathy enforcement | Postfix ? discoverability | Self-validating command catalog | Shared enforcement protocol | Integrated UI/UX design databases | Any project, any language, any platform
Healer is a comprehensive command suite for Claude Code that turns your AI assistant into a research-augmented development lifecycle engine. Every command searches for best practices, patterns, and proven solutions before acting.
v9 integrates Andrej Karpathy's coding principles directly into Healer's enforcement layer — upgrading them from passive CLAUDE.md suggestions to actively enforced HARD-GATEs:
/healer:karpathy — focused code review against 4 Karpathy principles with dual per-principle + per-file report formatkarpathy-review, karpathy-fix? Help + Self-Validating Catalog? postfix discoverability — type /healer:<command> ? (or --help) on ANY healer command for an instant six-section drill-down (purpose, what it does, expected input, concrete example with trace, input purpose, after/related). Works on flow presets too: /healer:flow feature ?.data/help-index.json replaces the old slow path that scanned all 41 command files (~14k lines) per invocation.data/commands.yaml and data/flows.yaml (JSON-Schema-validated) are the single source of truth. A PostToolUse hook auto-rebuilds the index on every catalog/command edit and detects drift loudly.v6 integrates UI-UX-Pro-Max (MIT License) design intelligence into Healer, adding:
brand, logo, cip, banner, icon, slidesdesign, design-system, design-review, implement, audit now query local design databases before web researchidentity, visual, brand-to-prod + 4 new recipesDesign intelligence is the DATA LAYER. Healer's enforcement protocol is the PROCESS LAYER. Together they produce research-backed design that avoids AI slop.
v4 introduces a shared enforcement layer (_enforcement.md) that makes all commands actually effective:
This enforcement layer is what separates Healer v4 from tools that just describe best practices — Healer v4 enforces them.
npx claudepluginhub anandsgit/healer --plugin healerComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Continuous self-referential AI loops for interactive iterative development, implementing the Ralph Wiggum technique. Run Claude in a while-true loop with the same prompt until task completion.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.