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Strategic ASO planning with category-specific templates. 4-phase roadmap, keyword strategy design, metadata roadmap, visual improvement plan. Triggers on: "ASO plan", "ASO strategy", "ASO roadmap", "ASO plan".

AI Skills for Reaviz Projects

Automate Helloleads tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Attio CRM operations -- search records, query contacts and companies with advanced filters, manage notes, list attributes, and navigate your relationship data -- using natural language through the Composio MCP integration.

Python code style enforcement

Use when you want to see a site through fresh eyes — how different types of people experience it for the first time. Dispatches agents with varying tech sophistication who land on the site cold and report confusion, friction, and first impressions.

Automate Cdr Platform tasks via Rube MCP (Composio). Always search tools first for current schemas.

Patterns for multi-agent systems including orchestrator, pipeline, consensus, delegation, supervisor, and swarm patterns. Use when the user is building multi-agent workflows, coordinating multiple AI agents, implementing agent delegation or supervision, or designing systems where agents collaborate on complex tasks.

Per-shot production specification workflow: takes a completed scene inventory (from scene-inventory-extractor-v2) and decomposes every scene into numbered shots with full directorial direction — actor position and movement, camera mount and motion, lens, lighting setup, practical effects, timing, and clip boundaries. Generates storyboard keyframe images via nanobanana, assembles video generation p

Automate Hyperbrowser tasks via Rube MCP (Composio). Always search tools first for current schemas.

Use when writing, reviewing, or hardening Go tests that rely on stretchr/testify — `assert`, `require`, `mock`, and `suite` — including table-driven tests, subtests, parallel tests, mocks versus hand-written fakes, error-wrap assertions, and flaky test triage with `-race` and `-count`.

Produz uma declaração de posicionamento para um produto aprovado usando um modelo de estratégia de marca, lendo um documento de design para escrever positioning.md. A versão 0.1.0 cobre apenas o posicionamento, com futuras versões expandindo para incluir mensagens do produto, visão e público.