ProgramadoresSemPatria

Use when debugging local failures, failed to fetch, API errors, Docker stack issues. Always apply for bug reports and runtime errors in Career Forge.

Use LangSmith CLI to inspect LLM traces/runs for Career Forge debugging. Use when debugging diagnosis interview, forge SSE, mentor flows, or any upstream LLM execution.

Sync claude-design-docs with implemented UI after paradigm changes. Use when finishing UI work, when asked to "sync UI product docs", or when prototype vs code diverged.

Mandatory pre-merge triple gate for Career Forge — code evaluator, Playwright MCP, agent verify. Use before every merge.

Gate C — run make agent-verify for API + Postgres proof before merge. Extend scripts/agent-verify.sh for new behavior.

How to use the applika-cli tool to track job applications via the Applika.dev API. Use this skill whenever the user mentions "applika", wants to log, list, create, or edit job applications via the CLI, asks about the applika login flow, or wants to interact with the applika CLI in any way. Login is always the first step — verify authentication with `applika whoami` before running any other command.

Patterns and conventions for this FastAPI Clean Architecture backend (Applika.dev). Use this skill whenever adding a new feature, endpoint, CRUD resource, model, repository, use case, DTO, schema, migration, test, or exception to the backend. Also use when the user asks how the project is structured, how layers connect, or how to follow existing conventions. Trigger on any backend code generation task involving FastAPI, SQLAlchemy, Alembic, Pydantic, or async Python in this project — even if the user doesn't explicitly mention "patterns" or "conventions".

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, passive voice, negative parallelisms, and filler phrases.