com um clique
lfg
Full autonomous engineering workflow
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Full autonomous engineering workflow
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
Explore requirements and approaches through collaborative dialogue before writing a right-sized requirements document and planning implementation. Use for feature ideas, problem framing, when the user says 'let's brainstorm', or when they want to think through options before deciding what to build. Also use when a user describes a vague or ambitious feature request, asks 'what should we build', 'help me think through X', presents a problem with multiple valid solutions, or seems unsure about scope or direction — even if they don't explicitly ask to brainstorm.
Refresh stale or drifting learnings and pattern docs in docs/solutions/ by reviewing, updating, consolidating, replacing, or deleting them against the current codebase. Use after refactors, migrations, dependency upgrades, or when a retrieved learning feels outdated or wrong. Also use when reviewing docs/solutions/ for accuracy, when a recently solved problem contradicts an existing learning, when pattern docs no longer reflect current code, or when multiple docs seem to cover the same topic and might benefit from consolidation.
Document a recently solved problem to compound your team's knowledge
Generate and critically evaluate grounded improvement ideas for the current project. Use when asking what to improve, requesting idea generation, exploring surprising improvements, or wanting the AI to proactively suggest strong project directions before brainstorming one in depth. Triggers on phrases like 'what should I improve', 'give me ideas', 'ideate on this project', 'surprise me with improvements', 'what would you change', or any request for AI-generated project improvement suggestions rather than refining the user's own idea.
Transform feature descriptions or requirements into structured implementation plans grounded in repo patterns and research. Also deepen existing plans with interactive review of sub-agent findings. Use for plan creation when the user says 'plan this', 'create a plan', 'write a tech plan', 'plan the implementation', 'how should we build', 'what's the approach for', 'break this down', or when a brainstorm/requirements document is ready for technical planning. Use for plan deepening when the user says 'deepen the plan', 'deepen my plan', 'deepening pass', or uses 'deepen' in reference to a plan. Best when requirements are at least roughly defined; for exploratory or ambiguous requests, prefer ce-brainstorm first.
Structured code review using tiered persona agents, confidence-gated findings, and a merge/dedup pipeline. Use when reviewing code changes before creating a PR.
| name | lfg |
| description | Full autonomous engineering workflow |
| argument-hint | [feature description] |
| disable-model-invocation | true |
CRITICAL: You MUST execute every step below IN ORDER. Do NOT skip any required step. Do NOT jump ahead to coding or implementation. The plan phase (step 2) MUST be completed and verified BEFORE any work begins. Violating this order produces bad output.
Optional: If the ralph-loop skill is available, run /ralph-loop-ralph-loop "finish all slash commands" --completion-promise "DONE". If not available or it fails, skip and continue to step 2 immediately.
/ce-plan $ARGUMENTS
GATE: STOP. Verify that the ce-plan workflow produced a plan file in docs/plans/. If no plan file was created, run /ce-plan $ARGUMENTS again. Do NOT proceed to step 3 until a written plan exists. Record the plan file path — it will be passed to ce-review in step 4.
/ce-work
GATE: STOP. Verify that implementation work was performed - files were created or modified beyond the plan. Do NOT proceed to step 4 if no code changes were made.
/ce-review mode:autofix plan:<plan-path-from-step-2>
Pass the plan file path from step 2 so ce-review can verify requirements completeness.
/unslop fix
Strip AI slop after review fixes land — removes commented-out code, filler comments, stale TODOs.
/observe on the areas of code that were changed — analyze patterns in the modified files to capture what was done and how.
/learn — extract reusable patterns from this session into project instincts.
/compound-engineering-todo-resolve
/compound-engineering-test-browser
/compound-engineering-feature-video
Output <promise>DONE</promise> when video is in PR
Start with step 2 now (or step 1 if ralph-loop is available). Remember: plan FIRST, then work. Never skip the plan.