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Get Started Free →Execute tasks following appropriate rules with rule-advisor metacognition
.claude/skills/shinpr-recipe-task/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-06 | ✗→✓ | ▲ Improved | -14% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -53% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 11% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 24% | 0% |
| case-05 | ✓→✗ | ▼ Worse | -35% | 0% |
Execute Skill: llm-friendly-context before writing Agent prompts, handoffs, or generated artifacts. Execute Skill: subagents-orchestration-guide before making workflow decisions, invoking agents, or resolving findings.
Task: $ARGUMENTS
Step 1: Rule Selection via rule-advisor (REQUIRED)
Invoke rule-advisor using Agent tool:
subagent_type: "dev-workflows-fullstack:rule-advisor"description: "Rule selection"prompt: "Task: $ARGUMENTS. Select appropriate rules and perform metacognitive analysis."Step 2: Utilize rule-advisor Output
After receiving rule-advisor's JSON response, proceed with:
taskAnalysis.essence)selectedRules)skill name and read it completelymetaCognitiveGuidance.pastFailures)metaCognitiveGuidance.firstStep)Step 3: Create Task List with TaskCreate
Register work steps using TaskCreate. Use "Select and map applicable rules" as the first task and "Verify selected rules and report completion" as the final task.
Break down the task based on rule-advisor's guidance:
taskAnalysis.essence in task descriptionsmetaCognitiveGuidance.firstStep to first taskwarningPatternsStep 4: Execute Implementation
Proceed with task execution following:
metaCognitiveGuidance.firstStep action from rule-advisorOther measured skills in the registry, with their headline benchmark lift.