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Use when starting any conversation - establishes how to find and use skills, model routing, and cost-aware development
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Use when conducting quality audits — reviewing process compliance, identifying gaps between defined process and actual practice, conducting structured inspections (code review audits, test quality reviews), and producing audit reports with remediation plans.
Use when managing quality risk — identifying quality risks in a product or release, applying risk-based testing prioritization, creating risk mitigation plans, and communicating quality risk to stakeholders for go/no-go decisions.
Use when designing or implementing test automation — choosing the right automation framework (Playwright, pytest, JUnit), Page Object Model, selector strategies, test isolation, managing flaky tests, and CI integration.
Use when managing defects — writing effective bug reports, applying severity/priority matrix, tracking defect lifecycle, conducting root cause analysis, and measuring defect metrics for process improvement.
Use when measuring and reporting QA quality — defect escape rate, test coverage analysis, flaky test rate, mean time to detect, shift-left metrics, and building quality dashboards for stakeholders.
Use when managing test data — designing test data strategies, using factories and builders, creating fixtures, generating synthetic data, masking PII for testing, and managing test database state.
| name | using-magic-powers |
| description | Use when starting any conversation - establishes how to find and use skills, model routing, and cost-aware development |
Use the Skill tool. When you invoke a skill, its content is loaded — follow it directly. Never use the Read tool on skill files.
Magic Powers includes specialized agents with cost-optimized model assignments:
| Agent | Model | Use For |
|---|---|---|
| architect | opus | Brainstorming, design, complex planning |
| reviewer | haiku | Code review, verification (fast + cheap) |
| debugger | sonnet | Systematic debugging, root cause analysis |
| ui-designer | sonnet | Frontend design, Stitch integration |
| qc-engineer | sonnet | Test design, automation, defect management, quality metrics |
| qa-engineer | sonnet | QA process design, test strategy, risk management, audits |
| ado-cicd-engineer | sonnet | Azure DevOps pipelines, CI/CD, release management |
| azure-devops-admin | sonnet | ADO org setup, access control, work tracking, artifacts |
| workflow-orchestrator | sonnet | Run structured workflows end-to-end |
| workflow-session | haiku | Session lifecycle (start/end/snapshot) |
| workflow-model-advisor | haiku | Model selection advice |
Default model (you) = Sonnet. Dispatch to specialized agents when their expertise applies. This saves cost — Haiku reviews are 60x cheaper than Opus.
/install-skills)Beyond the 12 built-in agents, Magic Powers has optional divisions for specialized domains. Install per-project:
☁️ Cloud Divisions — /install-skills → Category 12
@gcp-data-engineer, @gcp-cloud-architect, @gcp-ml-engineer (+ 4 more)@aws-data-engineer, @aws-solutions-architect (+ 5 more)@azure-data-engineer, @azure-solutions-architect (+ 5 more)📊 Amplitude Division — /install-skills → Category 13 (requires Amplitude MCP)
@amplitude-analyst — charts, dashboards, daily/weekly briefings@amplitude-experimenter — A/B tests, opportunities, user journeys@amplitude-engineer — instrumentation, event taxonomy, tracking specs@amplitude-ux-researcher — session replay, error diagnosis, UX audit@amplitude-ai-monitor — AI/LLM quality monitoring🧩 Browser Extension — /install-skills → Category 14
@browser-extension-developer — MV3, content scripts, publishing🤖 AI Division — /install-skills → Category 15
@ai-engineer — LLM integration, RAG, agentic AI, prompts, eval harness@ai-product — AI UX, streaming, fallbacks, reliability, responsible AI@ai-evaluator — eval infrastructure, CI/CD for AI, golden datasets, regression🎯 Workflow Optimization — /install-skills → Category 18 (recommended for all)
@workflow-orchestrator — run feature/bugfix/refactor/research/incident workflows end-to-end@workflow-session — /session-start (load context brief) and /session-end (save progress)@workflow-model-advisor — which model for this task? Haiku/Sonnet/Opus recommendation🚀 Solo AI Builder — /install-skills → Category 16
@solo-ai-builder — validation → positioning → GTM → monetization → retain🖥️ Claude Code Skills — /install-skills → Category 17
Invoke relevant skills BEFORE any response or action. Even a 1% chance means invoke it.
"Let's build X" → brainstorming first, then implementation skills. "Fix this bug" → debugging first, then domain-specific skills.
These thoughts mean STOP — you're rationalizing:
| Thought | Reality |
|---|---|
| "This is just a simple question" | Questions are tasks. Check for skills. |
| "I need more context first" | Skill check comes BEFORE clarifying questions. |
| "Let me explore the codebase first" | Skills tell you HOW to explore. Check first. |
| "The skill is overkill" | Simple things become complex. Use it. |
| "I'll just do this one thing first" | Check BEFORE doing anything. |
Rigid (TDD, debugging): Follow exactly. Don't adapt away discipline. Flexible (patterns): Adapt principles to context.
The skill itself tells you which.