recipe-task

Explicit User Instruction: The user explicitly instructs and authorizes every subagent call named in this recipe. Execute each applicable call when its prerequisites are met.

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 Execution with Metacognitive Analysis

Task: $ARGUMENTS

Mandatory Execution Process

Step 1: Rule Selection via rule-advisor (REQUIRED)

Invoke rule-advisor using Agent tool:

• subagent_type: "dev-workflows-frontend: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:

1. Understand Task Essence (from taskAnalysis.essence)

   • Focus on fundamental purpose, not surface-level work
   • Distinguish between "quick fix" vs "proper solution"

2. Follow Selected Rules (from selectedRules)

   • Execute each selected skill by its skill name and read it completely
   • Apply the named sections in the context of the complete skill

3. Recognize Past Failures (from metaCognitiveGuidance.pastFailures)

   • Apply countermeasures for known failure patterns
   • Use suggested alternative approaches

4. Execute First Action (from metaCognitiveGuidance.firstStep)

   • Start with recommended action
   • Use suggested tools first

Step 3: Bind the Execution Sequence

Before implementation, derive the smallest dependency-ordered sequence required by the rule-advisor result. Its first gate applies and maps the selected rules; its final gate verifies those rules and the requested outcome. Execute one gate at a time, advancing only when its required evidence exists. Add or reorder a gate only when new evidence changes a dependency or completion condition.

Step 4: Execute Implementation