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Sync tracking documents based on current conversation results. Updates subtask, progress, findings, task_plan, project CLAUDE.md. Use when finishing a task or reaching a milestone.

Elabora propostas de subsídios estruturadas a partir de ideias de pesquisa e literatura. Suporta diversos formatos de bolsas nacionais e internacionais, incluindo KAKENHI, NSF, NSFC, ERC, DFG, SNSF, ARC, NWO e formatos genéricos.

Create animated SVGs with GSAP or CSS — loaders, illustrations, icon animations, and micro-interactions.

Rebuild the knowledge tag index. Scans promoted files, normalizes tags, flags untagged files, suggests freeform-to-known promotions, detects stale files, suggests cross-references, updates project-to-tag mappings, and regenerates index.md. Use when user says '/index', 'rebuild index', 'update index', 'reindex knowledge'. Also called automatically by /audit-knowledge. (Code port — ADR-094.)

Load relevant knowledge by topic. Queries the tag index and presents matching promoted files for selective loading into context. Use when user says '/context stripe', '/context api pagination', '/context ss', 'load knowledge about...', 'what do we know about...'. (Code port — ADR-094.)

Extract structured requirements (F-xx) from user input. Outputs JSON to .copilot-tracking/

Auto-generate documentation from code — docstrings, API references, README files, and changelog entries.

Create and enforce brand identity guidelines — logo usage, color palettes, typography, tone-of-voice, and asset libraries.

Profile and optimize application performance — algorithmic complexity, caching strategies, database queries, and bundle size.

Spring Boot 4 REST API implementation patterns. Use when creating REST controllers, REST endpoints, request validation, exception handlers with ProblemDetail (RFC 9457), API versioning, content negotiation, WebFlux reactive endpoints, HTTP clients with @HttpExchange, JSON serialization with Jackson 3, error handling, or CORS configuration. Covers @RestController patterns, Bean Validation 3.1, glob

Build end-to-end ML pipelines — data prep, feature engineering, model training, evaluation, and MLflow tracking.

Create technical documentation — API docs, user guides, runbooks, architecture decision records, and onboarding guides.