OneWave-AI

Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.

Use before starting a product, feature, MVP, agent, automation, or integration build to identify the main pre-build risk and choose the smallest validation step. Trigger when the user asks whether to build, scope, validate, prioritize, or sanity-check an idea before implementation.

Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.

Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.

Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.

Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.

Assesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.

Generate comprehensive API documentation including endpoint descriptions, request/response examples, authentication guides, error codes, and SDKs. Creates OpenAPI/Swagger specs, REST API docs, and developer-friendly reference materials. Use when users need to document APIs, create technical references, or write developer documentation.

HyperFrames CLI dev loop — use `npx hyperframes` for scaffolding (init), validation (lint, inspect), preview, render, and environment troubleshooting (doctor, browser, info, upgrade). Use when working in or alongside a HyperFrames project and the user asks to scaffold, preview, render, lint, install a registry block, or diagnose a broken environment.

Asset preprocessing for HyperFrames compositions — text-to-speech narration (Kokoro), audio/video transcription (Whisper), and background removal for transparent overlays. Use when a HyperFrames project needs a voiceover, captions/subtitles from existing audio, or a clean cutout from a photo/video for use as an overlay.

Capture a website and create a HyperFrames video from it. Use whenever the user (1) provides a URL and wants a video, (2) says "capture this site", "turn this into a video", "make a video tour of this page", or (3) wants a scrolling product walkthrough, marketing reel, or before/after visual built from a real site.

Create video compositions, animations, title cards, overlays, captions, voiceovers, audio-reactive visuals, and scene transitions. Use whenever the user asks to build a video, motion graphic, animated explainer, intro, outro, title card, or convert a website / podcast / talk into a video. HyperFrames is HTML-based — fast iteration, real rendering.

Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.

Generate comprehensive API documentation including endpoint descriptions, request/response examples, authentication guides, error codes, and SDKs. Creates OpenAPI/Swagger specs, REST API docs, and developer-friendly reference materials. Use when users need to document APIs, create technical references, or write developer documentation.

Comprehensive code review covering security vulnerabilities, performance bottlenecks, best practices, and refactoring opportunities. Use when user requests code review, security audit, or performance analysis.

Review contracts for concerning clauses, extract key terms, compare to standard terms, and flag unusual provisions. Use when user needs contract review, legal document analysis, or agreement evaluation.

Run the AI-news crew (scout, analyst, editor) to sweep the field with web search and ship a ranked briefing. Trigger when the user asks for an AI news brief, a daily or weekly AI roundup, "what shipped in AI", a model-release recap, or wants the standing cadence run.

Apply the OneWave design style (tokens + theme) to a frontend project. Trigger when the user asks to brand a site, apply the OneWave look, set up design tokens, theme an app, or fix off-brand colors and typography.

Use when the user wants to monitor, track, or compare competitors, their pricing pages, or their published content, and report what changed since the last check. Triggers on requests like "watch competitor X", "did their pricing change", "what did they ship", or "diff competitors against last time".

Use when the user wants to turn one source piece (blog post, transcript, doc, notes, or URL) into multiple channel-ready formats — posts, a thread, an email, and a video script. Triggers on "repurpose", "atomize", "turn this into", "make social content from", or "one piece into many".

Scan official AI release notes, changelogs, and deprecation pages, then flag what affects the user's stack and recommend an action for each item. Trigger on requests like "what AI releases happened recently," "check if my models or tools are deprecated," "any changelog updates that affect my stack," or periodic release sweeps.