code-smell-detector

AI-Native Squad — Spotify-model autonomous engineering team. 12 specialized agents (Tech Lead, Backend, Frontend, Mobile, UX, UI, Product, Scrum Master, DevOps, QA, Data, Security) with orchestrated collaboration, domain-specific skills, and cross-functional workflows. Based on the AI Native Developer methodology.

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Meta-skill gatekeeper that runs FIRST on every task to decide which other skill(s) — if any — should activate. Analyzes the user request, matches it against a ranked catalog (frontend-design, ui-ux-pro-max, superpowers/planning, git-*, mcp-builder, smart-dispatch, claude-api, etc.), and emits a tight SELECTION plan so other skills are loaded on-demand only. Minimizes token/context consumption by refusing to activate heavy skills unless clearly justified. Triggers on ANY user instruction that could plausibly benefit from a specialized skill — i.e. essentially every turn that starts new work. Keywords: "plan", "design", "ui", "ux", "implement", "build", "create", "fix", "refactor", "commit", "pr", "review", "test", "debug", "deploy", "mobile", "video", "mcp", "skill", "architecture", "api", "ci", "docs", "copy", "social", "setup", "doctor".

Chaos engineering scenarios for resilience testing. Designs fault injection experiments (network partitions, latency injection, dependency failures, disk pressure, memory leaks) and verifies circuit breakers, retries, and fallbacks work correctly. Use when building resilience features, verifying SLO under failure conditions, or preparing for production chaos days.

Generate a complete, production-ready CLI in Bun from a SPEC, OpenAPI contract, JSON Schema, or natural-language description. Outputs a runnable binary with commander-style arg parsing, autocomplete, man page, and token-aware output formatting.

Wrapper that bridges the AI harness to external CLIs — captures help output, documents commands, saves input/output token metrics, and provides a standardized interface so the harness invokes CLIs without context bloat.

WCAG 2.1 AA/AAA accessibility audit for web components, pages, and apps. Detects contrast failures, missing ARIA labels, keyboard trap issues, focus order problems, and screen-reader gotchas. Use when user wants to audit accessibility, fix a11y warnings, prepare for compliance review, or validate UI against WCAG standards.

Feature flag implementation, management, and cleanup. Handles flag creation, gradual rollout strategies, A/B testing wiring, stale flag detection, and safe flag removal. Supports LaunchDarkly, Unleash, GrowthBook, Statsig, custom env-var flags, and database-backed toggles. Use when adding gated features, rolling out gradually, or cleaning up old flags.

Maintains docs/ in the Karpathy-style LLM-wiki standard. Generates docs/llms.txt (flat machine-readable index conforming to llmstxt.org), validates broken links, enforces a minimum front-matter in new .md files (title, status, updated, related), groups orphan docs. Use when the user says "update docs index", "generate llms.txt", "audit docs", "organize wiki", "cure documentation", or after adding/renaming a file in docs/.

Project and workspace AI setup orchestrator. Builds AGENTS.md/CLAUDE.md contracts, optional global or project skills, Spotify Squad-style agent/subagent topology, and adversarial setup review for single apps, monorepos, and multi-domain workspaces.