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Build a code-verified mental model of one feature or subsystem. Use before owning, debugging, changing, reviewing, or redesigning a complex area that needs a technical trace from entry point to data, jobs, providers, failures, and tests.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Create a researched, durable, approval-gated goal contract whose verification tools, repository-vault authentication, exact proof steps, rollout safety, and evidence lifecycle are ready before execution. Use when the user asks to set, create, refine, save, or verify a goal; asks whether an agent has everything needed to prove completion; wants a proof-driven alternative to a raw `/goal`; or explicitly invokes `$verify-goal`.
Relentlessly interview the user in dependency-aware batches to sharpen a plan, decision, design, idea, codebase change, or bug fix. Use when the user wants to get grilled, investigate a bug from a ticket or screenshots, pass unfinished grilling to a teammate, or pick it up from a PR. Begin each session by choosing native dialogs or one full text batch, then Sideshow or experimental Grill Visuals for live diagrams. In repositories, inspect current behavior, run a mandatory gap and blast-radius pass, and maintain durable decision docs as answers settle.
Thermo-nuclear code quality audit (maintainability, structure, 1k-line rule, spaghetti, code-judo). Invoked via Task after a parent gathers diff and file contents. Loads the rubric from the `thermo-nuclear-code-quality-review` skill in the cursor-team-kit plugin.
Validate your code changes through the no-mistakes pipeline - automated code review, tests, lint, docs, push, PR, and CI - before they reach upstream. Use when the user asks to run no-mistakes, gate or ship or validate their changes, push safely, asks you to do a task and then validate it, or invokes /no-mistakes.
Ask which skill or flow fits your situation. A router over the user-invoked skills in this repo.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
| name | feature-deep-dive |
| description | Build a code-verified mental model of one feature or subsystem. Use before owning, debugging, changing, reviewing, or redesigning a complex area that needs a technical trace from entry point to data, jobs, providers, failures, and tests. |
Build debug-grade understanding of one feature or subsystem. Do not change code unless the user asks.
One responsibility: make a developer understand one area well enough to debug/change it without guessing.
Choose one vertical slice or subsystem only: invite claim, promotion scheduling, content generation callback flow, search ranking, billing checkout, etc.
If the user needs the whole-system map first, use rebuild-mental-model. If this trace changes the global model, update or hand off to rebuild-mental-model.
Follow repo conventions first. If none exist, create/update:
docs/feature-deep-dives/<feature-slug>.mdCONTEXT.md if domain language changes and it exists; otherwise docs/ubiquitous-language.mdNever include secrets or env values. Provider/env var names are fine.
Mark claims explicitly:
verified - confirmed from code/config/schema/tests.partial - traced but not end-to-end.not verified - plausible or doc-derived only.drift - docs and code disagree.Never present intended future behavior as current code.
End every feature doc with:
## Quick Recall
- What this feature does:
- Main trigger:
- Source of truth:
- Top files/boundaries:
- Top tables/models:
- Providers:
- First debug checks:
- Biggest trap:
- Global architecture impact:
Before finishing:
None.