Recipe Task
Execute tasks following appropriate rules with rule-advisor metacognition
Install
$ agentstack add skill-shinpr-claude-code-workflows-recipe-task ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-shinpr-claude-code-workflows-recipe-task) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Execute Skill: llm-friendly-context before writing Agent prompts, handoffs, or generated artifacts.
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
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: shinpr
- Source: shinpr/claude-code-workflows
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.