recipe-task
Execute tasks following appropriate rules with rule-advisor metacognition
What it does
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: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:
-
Understand Task Essence (from
taskAnalysis.essence)- Focus on fundamental purpose, not surface-level work
- Distinguish between "quick fix" vs "proper solution"
-
Follow Selected Rules (from
selectedRules)- Review each selected rule section
- Apply concrete procedures and guidelines
-
Recognize Past Failures (from
metaCognitiveGuidance.pastFailures)- Apply countermeasures for known failure patterns
- Use suggested alternative approaches
-
Execute First Action (from
metaCognitiveGuidance.firstStep)- Start with recommended action
- Use suggested tools first
Step 3: Create Task List with TaskCreate
Register work steps using TaskCreate. Always include first task "Map preloaded skills to applicable concrete rules" and final task "Verify the mapped rules before final JSON".
Break down the task based on rule-advisor's guidance:
- Reflect
taskAnalysis.essencein task descriptions - Apply
metaCognitiveGuidance.firstStepto first task - Restructure tasks considering
warningPatterns - Set priorities based on dependency order and warningPatterns severity
Step 4: Execute Implementation
Proceed with task execution following:
- Start with
metaCognitiveGuidance.firstStepaction from rule-advisor - Update task structure with TaskUpdate to reflect rule-advisor insights
- Selected rules from rule-advisor
- Task structure (managed via TaskCreate/TaskUpdate)
- Quality standards defined in the selectedRules output from rule-advisor
- Monitor warningPatterns flags throughout execution and adjust approach when triggered
Capabilities
Install
Quality
deterministic score 0.61 from registry signals: · indexed on github topic:agent-skills · 327 github stars · SKILL.md body (2,071 chars)