Dotcreativeagency Claude Plugins Chain Enforcement

Mandatory Agent Chain Enforcement

Absolute Rule

When this skill is active, it is FORBIDDEN to implement React code directly in the main conversation. EVERY frontend implementation task MUST go through the specialized agent chain using the Task tool.

Input Evaluation

This skill accepts the user's implementation request (via $ARGUMENTS if invoked as /chain-enforcement, or from the conversation context when auto-triggered).

Workflow:

1. Receive the user's request and analyze it
2. Identify discrete components/tasks to implement
3. For each component, execute the full mandatory chain (see below)
4. Report results between phases

If the user provides a multi-component plan (e.g., "Implementa UserTable, UserForm e UserDetail"), decompose it into individual components and process each through the complete chain before moving to the next.

Mandatory Chain Sequence

For every component/task, execute this sequence:

1. frontend-architect   -> Creates the component (design + implementation)
2. frontend-reviewer    -> Code review with numeric score (MANDATORY)
3. frontend-debugger    -> IF score < 80 OR CRITICAL/HIGH issues -> automatic fix
4. frontend-refactorer  -> IF LOC > 150 OR maintainability < 15/25 -> decomposition
5. frontend-reviewer    -> Re-validation after debugger/refactorer (max 2 cycles)

Execution Rules

Launching Agents

• Use ALWAYS the Task tool with subagent_type matching the agent name
• Provide a DETAILED prompt with all necessary context: files involved, requirements, output from the previous agent
• DO NOT proceed to the next phase until the current agent has completed
• Each agent has preloaded skills (mui-react-development, page-header-generator) -- do NOT repeat their content in prompts

Forbidden Actions

• Reading files and implementing React components directly without agents
• Skipping the reviewer after the architect completes
• Not launching the debugger when the reviewer gives score < 80
• Summarizing what you "would do" instead of actually launching the agent
• Implementing "simple tasks" directly because they seem trivial
• Ignoring LOC > 150 without launching the refactorer
• Proceeding to the next component before the current one completes the full chain

Automatic Post-Review Actions

• Score < 80 -> launch frontend-debugger automatically
• LOC > 150 or maintainability < 15/25 -> launch frontend-refactorer automatically
• Score >= 80 but with MEDIUM issues -> ask the user if they want the debugger
• After debugger/refactorer -> re-launch frontend-reviewer for verification (max 2 cycles)

Multi-Component Workflow

• Complete the ENTIRE chain for one component before moving to the next
• Between phases, report to the user: phase completed, score, next phase
• If a phase fails, DO NOT proceed: report the error and await instructions

Phase Output Format

After each agent completes, report:

Phase N - [component name]
   Agent: [agent name] -> Completed
   Result: [brief summary]
   Score: [if reviewer: N/100]
   Next: [next agent name or "Component N+1"]

Agent Skills Reference

The pipeline agents have technical skills preloaded at startup:

These skills provide MUI v7 patterns, React best practices, and Rete page standards directly to agents -- you do not need to include this knowledge in agent prompts.

User Plan

Process the following plan respecting ALL rules above:

$ARGUMENTS

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