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Found 282 Skills
Refatore apps ou sites setoriais de qualquer tecnologia de origem para o padrão do repositório Elinsa. Use ao migrar projetos externos, legados, protótipos, HTML/CSS/JS puro, jQuery, Vue, Angular, React/Vite, PHP, Laravel, WordPress, templates server-side, sistemas de almoxarifado, formulários de pedidos ou ferramentas internas para Node 26+, pnpm, Next.js 16+ App Router, React Server Components, Tailwind 4+, Biome, shadcn/radix no preset Elinsa, React Hook Form, Zod, Better Auth e Drizzle ORM com PostgreSQL. Use também quando o projeto não tiver Git/versionamento, vier de ZIP/pasta local ou tiver sido criado em Lovable/no-code/AI builder: primeiro transforme em repositório GitHub revisável, depois migre para submissão à TI e futura integração como rotas, páginas, APIs ou componentes.
Verifies that implemented code is actually integrated into the system and executes at runtime, preventing "done but not integrated" failures. Use when marking features complete, before moving ADRs to completed status, after implementing new modules/nodes/services, or when claiming "feature works". Triggers on "verify implementation", "is this integrated", "check if code is wired", "prove it runs", or before declaring work complete. Works with Python modules, LangGraph nodes, CLI commands, API endpoints, and service classes. Enforces Creation-Connection-Verification (CCV) principle.
Build a stakeholder map using a power/interest grid, identify communication strategies per quadrant, and generate a communication plan. Use when managing stakeholders, preparing for a launch, aligning cross-functional teams, or planning stakeholder engagement.
Generates Mermaid diagrams from codebases, topics, files, conversations, or specs. Supports flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, C4 architecture, mindmaps, Gantt charts, timelines, user journeys, gitGraphs, pie charts, quadrant charts, requirement diagrams, and beta types (xychart, sankey, block, architecture). Use when asked to create a Mermaid diagram, visualize a process or system, draw a flowchart, sequence diagram, class diagram, state machine, ERD, architecture diagram, mind map, timeline, Gantt chart, user journey, git branching graph, or any "diagram this" request.
One-shot viral game pipeline — turn a tweet, news story, or short prompt into a scaffolded, designed, deployed, and monetized browser game in roughly 10 minutes. Use when the user says "make a viral game", "build a game from this tweet", "turn this story into a game", "/viral-game", or provides a tweet URL / short concept they want shipped end-to-end fast. Do NOT use when the user wants to design and build a real game project with milestones, ADRs, or multi-session iteration — use `/make-game` for that. Also do NOT use for modifying existing games (use `/add-feature` or `/improve-game`).
Pitch-book company profile page via Longbridge — generates a professional company profile for trading materials and client presentations: positioning quadrant (market position / growth), business highlights, key financial matrix (revenue / EBITDA / net income / EPS / PE / EV), price trend description, major shareholders and management, recent catalysts. More presentation-focused and investment-banking oriented than longbridge-company-tearsheet. Triggers: "公司画像", "公司简介页", "投行公司页", "公司展示", "公司描述", "公司介绍页", "公司信息页", "公司畫像", "公司簡介頁", "投行公司頁", "pitch book", "company profile page", "company profile", "company description", "investor profile", "company slide", "company overview page", "pitch book company page".
Design data architecture at enterprise and solution levels. Cover data mesh, lakehouse, governance, domain-driven design, conceptual/logical/physical data modeling, platform selection, and compliance frameworks. Produce ADRs, data model diagrams, platform comparison matrices, and governance policy templates. Triggers on "design data platform", "choose data warehouse", "data mesh", "lakehouse architecture", "data governance", "data modeling", "platform selection", "data architecture decision", "compliance framework", or "data strategy". For applied AI solution architecture (RAG data plane, embeddings, vector stores in commercial or enterprise products), use applied-ai-architect-commercial-enterprise. For dbt analytics layers and mart delivery, use analytics-data-engineer—not data-architect.
Build and maintain project-specific review policy for `agentic-review` by combining repository docs (`AGENTS.md`, `ENGINEERING.md`, `CONTEXT.md`/`CONTEXT-MAP.md`, ADRs), repository-mined conventions, and structured user input, then writing machine-usable policy files under `<docs-dir>/review/policies/`, including audit-governance metadata consumed by `agentic-review`. Use when the user wants architecture integrity checks (onion/clean/hexagonal), module-specific review rules, dependency-direction policy, naming/inheritance convention enforcement, stricter project/domain review standards, or explicit auditability requirements for specialist review coverage.
Used when a Spec Pack is completed, reusable assets need to be promoted to the project SSOT (ADR/contract/ops/NFR/registry), and there are risks of "contaminating the project with full package replication / skipping spec-context / mistaking merge-back for git merge".
Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /create-epics for each epic.
Guides engineering managers through the specific challenges of managing top engineers — produces a four-quadrant ability/confidence diagnostic, the Rock Star vs. Superstar distinction, common mistakes to avoid, a stagnation diagnostic (Diminishing XP), and a Pusher vs. Puller framework for managing burnout and team friction. Use when the user says "rockstar engineer," "superstar," "high performer," "brilliant jerk," "wants promotion," "hardest to manage," "overconfident," "my best developer is burning out," "engineer is frustrated," or "my best developer is pushing me." Do NOT use for standard underperformance (use performance-reviews) or general motivation questions (use engineer-motivation).
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.