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Recipe task

Skill shinpr/codex-workflows/.agents/skills/recipe-task

Controlled, reviewable agentic coding workflows for OpenAI Codex CLI with task-specific subagents, explicit planning, TDD, and quality gates.

Install
npx -y skills add shinpr/codex-workflows --skill recipe-task

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What its author says it does

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Execute tasks with metacognitive analysis and appropriate rule selection.

SKILL.md

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Required Skills [LOAD BEFORE EXECUTION]

  1. [LOAD IF NOT ACTIVE] task-analyzer — task analysis and skill selection (rule-advisor handles remaining skill selection)
  2. [LOAD IF NOT ACTIVE] llm-friendly-context — clear prompts, handoffs, and generated artifacts

Spawn rule: every spawn_agent call uses fork_turns="none" so the subagent receives only the task message and explicitly provided context.

Task Execution with Metacognitive Analysis

Task: $ARGUMENTS

Mandatory Execution Process

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

Spawn rule-advisor agent: "Analyze the task and select appropriate rules for: $ARGUMENTS. Provide context about current situation and prerequisites."

ENFORCEMENT: Skipping rule-advisor produces unguided execution with high failure risk.

Step 2: Utilize rule-advisor Output

After receiving rule-advisor's response, proceed with:

  1. Understand Task Essence (from metaCognitiveGuidance.taskEssence)

    • Focus on fundamental purpose, not surface-level work
    • Distinguish between "quick fix" vs "proper solution"
  2. Follow Selected Rules (from selectedRules)

    • Review each selected rule section
    • Apply concrete procedures and guidelines
  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 and rationale
    • Use suggested tools first

Step 3: Create Task List

Register work steps. Always include: first "Confirm skill constraints", final "Verify skill fidelity".

Break down the task based on rule-advisor's guidance:

  • Reflect metaCognitiveGuidance.taskEssence in task descriptions
  • Apply metaCognitiveGuidance.firstStep to first task
  • Restructure tasks considering warningPatterns
  • Set appropriate priorities

Step 4: Execute Implementation

Proceed with task execution following:

  • Selected rules from rule-advisor
  • Task structure
  • Quality standards from applicable rules

Important Notes

  • Spawn rule-advisor first: MUST complete metacognitive step before implementation
  • Update tasks after rule-advisor: MUST reflect insights in task structure
  • Follow metaCognitiveGuidance.firstStep: MUST start with the recommended action
  • Monitor warningPatterns: MUST watch for failure patterns throughout execution

Completion Criteria

  • rule-advisor spawned and output received
  • Task essence understood from metaCognitiveGuidance.taskEssence
  • Selected rules reviewed and applied
  • Past failure patterns recognized and countermeasures applied
  • Task list created with skill constraint confirmation and fidelity verification
  • Implementation executed following rule-advisor guidance
  • Warning patterns monitored throughout execution

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.