ai-augmented-developer

Check for drift between spec.md, plan.md, tasks.md, and the actual code. Reports the gaps; does not fix them.

Run a category-specific quality pass (security / performance / accessibility / i18n / privacy / observability) against the current plan and code.

Surface [NEEDS CLARIFICATION] markers in spec.md (or plan.md) to the user, one at a time, and edit the file with the answers.

Bootstrap or amend constitution.md (framework, preset, or project). Inspects existing project context first; enforces the amendment process: issue first, one article per PR, reviewer non-author.

Print the pipeline quick-reference — a one-screen summary of every /aia:* command and its hand-offs, prefixed by a state-aware "Próximo passo" line.

Execute an approved plan + tasks list by dispatching one fresh subagent per task and applying two-stage review (spec compliance, then code quality) before moving on.

Turn an approved spec.md into a plan.md (plus research, data-model, contracts as needed) that passes the Constitution Check.

Turn a natural-language demand into a numbered spec.md under specs/<NNNN-slug>/. Use when the user describes what they want but no spec exists yet.

Compose a rich per-task context file (specs/<branch>/task-context/<TID>-<slug>.md) before each implementer dispatch. Opt-in; default off.

Decompose an approved plan.md into an ordered tasks.md ready for `implement`. Each task = one test + one implementation + one commit.

Frontmatter name does not match the parent directory name. Must fail.

A minimal skill used as a positive fixture for validator tests.

Use before opening a PR. Prepares context for code review and dispatches a reviewer subagent.

Use after code review is approved to finalize, push, open PR, and clean up the development branch.

Meta-skill that explains the skill catalog and when to invoke each one. Load it at the start of a conversation to orient the agent before any code-writing action.

Sample skill rendered from {{PROJECT_NAME}} during the extension round-trip test.

Fixture skill used by the install-engine round-trip tests — greets {{PROJECT_NAME}}.

Deploy backend (Cloud Run), frontend (static/Cloud Run), or mobile (EAS). Use when publishing changes to production.

Run project tests. Use after modifying code to catch regressions before committing.

Use when implementing any feature or bugfix. Write the test first, always.

Build local Android AAB para Google Play. Usar quando precisar gerar build Android para producao.

Build iOS na nuvem do EAS para TestFlight/App Store. Usar quando precisar gerar build iOS para producao.

Incrementar versao do app mobile (versionCode, versionName, buildNumber). Usar antes de builds de producao.

Deploy do admin dashboard React para Cloud Run (GCP). Usar quando precisar publicar mudancas do {{ADMIN_DIR}} em producao.

Deploy do backend Django para Cloud Run (GCP). Usar quando precisar publicar mudancas da API em producao.

Publicar OTA update via EAS Update para o canal de producao. Usar para mudancas JS-only que nao precisam de build nativo.

Gerar release notes para App Store e Google Play baseado nos commits recentes. Usar ao submeter nova versao para review.

Executar testes do projeto. Usar apos modificar codigo para verificar regressoes.

Iniciar ambiente de desenvolvimento completo (backend + mobile). Usar quando quiser subir os servicos para desenvolvimento.

Enviar build Android AAB para Google Play Console. Usar apos build Android finalizado.

Enviar build iOS mais recente para TestFlight/App Store Connect. Usar apos build iOS finalizado.

too short

Integrate AI capabilities using LiteLLM (multi-provider) or Claude Agent SDK. Use when adding AI-generated content, streaming responses, or autonomous code execution.

Build or use the proactive auto-development pipeline (issue detection → spec → plan → implement → PR). Covers the autodev Django app architecture.

Create, debug, and test Celery 5 async tasks with Redis. Use when adding background processing, scheduled jobs, or long-running AI operations.

Conventions and patterns for Django 5.2 + DRF development. Use when creating new apps, models, serializers, views, or URLs.

Create distinctive, production-grade frontend interfaces with high design quality. Use when building web components, pages, or React Native screens. Generates creative, polished code that avoids generic AI aesthetics.

Use when encountering any bug, test failure, or unexpected behavior. Investigate root cause BEFORE proposing any fix.