Creates and configures NestJS modules, controllers, services, DTOs, guards, and interceptors for enterprise-grade TypeScript backend applications. Use when building NestJS REST APIs or GraphQL services, implementing dependency injection, scaffolding modular architecture, adding JWT/Passport authentication, integrating TypeORM or Prisma, or working with .module.ts, .controller.ts, and .service.ts files. Invoke for guards, interceptors, pipes, validation, Swagger documentation, and unit/E2E testing in NestJS projects.

Use when configuring Django to store static and media files on AWS S3 with django-storages. Invoke when working with the STORAGES setting, S3 buckets, presigned URLs, CloudFront, or boto3-backed file storage in settings.py. Configures the Django 4.2+ STORAGES dict, public/private custom backends, presigned GET/POST URLs, IAM policies, and S3 mocking for tests. Trigger terms: django-storages, S3, boto3, S3Boto3Storage, STORAGES, presigned URL, CloudFront, media files, collectstatic, AWS_STORAGE_BUCKET_NAME.

NOTE: molecule and target inputs and your NGC_API_KEY are transmitted to external NVIDIA-hosted API endpoints on every call. Use local NIM containers for confidential or proprietary data. Run a complete computational drug discovery pipeline using NVIDIA BioNeMo NIMs: generate drug-like molecules with GenMol, dock them to a protein target with DiffDock, then predict binding affinity with Boltz2. Use this skill whenever the user wants to generate and screen small molecule drug candidates, perform hit discovery, optimize leads against a protein target, or do virtual screening combining molecule generation, docking, and affinity prediction. Triggers on: drug discovery pipeline, hit discovery, lead optimization, virtual screening, molecule generation, molecular docking, binding affinity, GenMol, DiffDock, Boltz2, SMILES, SAFE notation, NIM microservice. This is a multi-step pipeline composing three BioNeMo NIMs.

Use this when the user wants to bulk-edit a Spotify playlist — add tracks, remove tracks, dedupe, verify contents — and they have open.spotify.com open in a logged-in tab. Covers search-and-add, remove-by-uid, list-contents, duplicate-removal, and the rate-limit + human-pacing patterns that Spotify enforces. Read this BEFORE attempting any direct GraphQL calls or scripting against the playlist — the rediscovery cost without this skill is significant (we know).

Use when the user wants local voice transcription instead of OpenAI Whisper API. Switches to whisper.cpp running on Apple Silicon. WhatsApp only for now. Requires voice-transcription skill to be applied first.

Senior + arquitecto + CTO del módulo sales_agent post redesign 2026-04. Carga §3 protected surfaces, anti-patterns, decisiones cross-fase, checklist pre-commit. NO carga code vivo (paths/LOC/tests cambian). Use cuando user pida cambio/feature/bug en sales_agent: voz de marca, scheduler/payment tools, observabilidad, callback handler, prompt cache, channel registry, semantic router, closer studio, follow_up engine, eval loop, costo agentes. Triggers: 'modifica sales_agent', 'bug en sales_agent', 'agregar tool al agente', 'agente no cierra', 'suena robótico', 'voz de marca', 'agregar canal sales', 'modificar prompt del specialist', 'closer studio', 'follow-up no dispara', 'el agente repite preguntas', 'PII en trazas', 'costo Kimi', 'DeepSeek alias', 'tier pricing 200k', 'eval goldens'.

Implements FastAPI endpoints, creates SQLAlchemy 2.0 async models, generates idempotent Alembic migrations, structures bounded contexts following DDD (domain→infrastructure→application→api), and produces typed Pydantic v2 DTOs. Runs inside Docker (visionarias_brain_dev). Use when: 'create an endpoint', 'modify the backend', 'create a new entity', 'update a service', 'database logic', 'fix a backend bug', 'add a migration', 'create a repository', 'agrega un campo', 'nueva ruta API', 'corrige el servicio', or any Python/FastAPI/SQLAlchemy/Alembic task.

Implements FastAPI endpoints, creates SQLAlchemy 2.0 async models, generates idempotent Alembic migrations, structures bounded contexts following DDD (domain→infrastructure→application→api), and produces typed Pydantic v2 DTOs. Runs inside Docker (visionarias_brain_dev). Use when: 'create an endpoint', 'modify the backend', 'create a new entity', 'update a service', 'database logic', 'fix a backend bug', 'add a migration', 'create a repository', 'agrega un campo', 'nueva ruta API', 'corrige el servicio', or any Python/FastAPI/SQLAlchemy/Alembic task.

Senior + arquitecto + CTO del módulo sales_agent post redesign 2026-04. Carga §3 protected surfaces, anti-patterns, decisiones cross-fase, checklist pre-commit. NO carga code vivo (paths/LOC/tests cambian). Use cuando user pida cambio/feature/bug en sales_agent: voz de marca, scheduler/payment tools, observabilidad, callback handler, prompt cache, channel registry, semantic router, closer studio, follow_up engine, eval loop, costo agentes. Triggers: 'modifica sales_agent', 'bug en sales_agent', 'agregar tool al agente', 'agente no cierra', 'suena robótico', 'voz de marca', 'agregar canal sales', 'modificar prompt del specialist', 'closer studio', 'follow-up no dispara', 'el agente repite preguntas', 'PII en trazas', 'costo Kimi', 'DeepSeek alias', 'tier pricing 200k', 'eval goldens'.

Use when building data-heavy screens, analytics dashboards, metric visualizations, or inline charts for Copilot. Creates bar/line charts, renders data tables, aggregates KPI metrics, builds filterable dashboard layouts, and generates HTML previews for concept validation. Triggers: 'dashboard', 'métricas', 'gráfico', 'chart', 'visualización', 'analytics', 'KPI', 'reporte', 'muestra los datos', 'cómo van los números'.

One-time, guided setup of a standalone LLM-maintained wiki — a Karpathy "LLM Wiki" style knowledge base for a problem domain and your general architecture best practices. Scaffolds an external wiki vault (its own git repo) with /ingest, /query, /lint commands and a conventions doc. Use when a developer wants to start, create, bootstrap, or initialize a wiki / second-brain / knowledge base to understand a problem space before building. The front of the Human Loop's Understanding phase.

Respond to an automated reviewer's findings on the current feature PR — a narrow, headless responder. Triages each reviewer finding into Clear / Ambiguous / Complex / Out-of-PRD-Scope, then acts — fixes the cause and pushes (diff-only) for Clear, posts one in-thread reply for the rest. Skips findings it already handled. Invoked headless by the dispatcher's feedback gate; the dispatcher owns the round counter and the STUCK escalation. Triggers - address-feedback, address review comments, respond to PR review, handle reviewer findings, PR feedback loop (project)

Ultra-compressed commit message generator. Cuts noise from commit messages while preserving intent and reasoning. Conventional Commits format. Subject ≤50 chars, body only when "why" isn't obvious. Use when user says "write a commit", "commit message", "generate commit", "/commit", or invokes /caveman-commit. Auto-triggers when staging changes.

Builds SQLiteCpp with Meson. Use when configuring Meson builds, tests, or Meson options.

This skill helps an LLM pick the right AxAgent context tool for a job - contextMap for recurring corpora, contextPolicy presets for within-run trajectory compaction, agent.optimize for offline GEPA instruction/demo tuning, agent.playbook for an evolving context playbook (offline evolve + online update), and recall/memories + skills for per-turn retrieval. Use when the user asks "which context feature should I use", confuses contextMap with contextPolicy or memory, or wants a decision guide for long-context agents. For contextPolicy/contextMap codegen use ax-agent-rlm; for recall/skills use ax-agent-memory-skills; for agent.optimize or agent.playbook use ax-agent-optimize.

Migrates Maven projects to Gradle Kotlin DSL (build.gradle.kts) with version catalogs (libs.versions.toml). Covers single-module and multi-module projects, Spring Boot starter-parent conversion, dependency-scope and BOM mapping, Maven plugin to Gradle plugin translation, and Maven profile equivalents. Also supports a dual-build overlay mode that adds Gradle alongside Maven without removing pom.xml. Triggers on requests to convert pom.xml to Gradle, migrate from Maven to Gradle, generate build.gradle.kts, set up a Gradle version catalog from Maven, modernize a JVM build system, or add Gradle alongside Maven for gradual migration. Does not apply to Gradle-to-Maven conversion, authoring brand-new Gradle projects from scratch with no Maven source, Groovy DSL (build.gradle) authoring unrelated to migration, or non-JVM build tools (npm, Bazel, sbt, Make).

Review a code change for untested branches and error paths, tests that do not assert behavior, mirror tests that miss the source of truth, test-only production seams, duplicate coverage, brittle or nondeterministic tests, and behavior changes with no test changes. Use when reviewing tests, test coverage, test quality, or whether the tests prove the code works.

Review a code change for violated assumptions, cross-component composition failures, multi-step failure cascades, abuse through normal use, and verification mechanisms that can pass while production fails. Use when reviewing for adversarial failure scenarios, emergent misbehavior, or green-while-red CI, test, and deploy guards.

Review a code change for structural regressions that make code harder to change, delete, or reason about, including complexity moved rather than removed, missed simplifications, shared-path special cases, oversized files, wrong-layer logic, thin wrappers, premature abstraction, dead code, coupling, vague names, data-locality smells, stale comments, and type-safety holes. Use when reviewing for maintainability, simplicity, code structure, or design quality.

Use when designing, building, writing, OR validating any nightshift interface, marketing page, doc, slide, mock, prototype, or brand asset — covers the night-sky dark theme, terracotta accent, Inter + JetBrains Mono type, design tokens, React UI-kit components, the technical no-hype brand voice, and a runnable adherence gate (token-drift + WCAG-AA contrast + lint). Trigger on "nightshift", "design with the brand", "terminal/pipeline UI", "ships while you sleep", "check brand adherence", "validate nightshift design".