shinpr/claude-code-workflows

recipe-task

Execute tasks following appropriate rules with rule-advisor metacognition

First seen Mar 13, 2026

Installation

$ npx skills add shinpr/claude-code-workflows --skill recipe-task

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from shinpr/claude-code-workflows · top by installs.

npx skills add shinpr/claude-code-workflows

Browse all from shinpr/claude-code-workflows

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 679
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,531 B
  • docs SUMMARY.md 92 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 33 installs

SKILL.md

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: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"

  1. 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

  1. Recognize Past Failures (from metaCognitiveGuidance.pastFailures)

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

  1. 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

Proceed with task execution following:

  • Start with metaCognitiveGuidance.firstStep action from rule-advisor
  • Selected rules from rule-advisor
  • Dependency-ordered execution sequence from Step 3
  • Quality standards from the selected skills and sections named by rule-advisor
  • Monitor warningPatterns flags throughout execution and adjust approach when triggered