Optimizes implementation plans for autonomous coding agents through iterative gap analysis and structural refinement.
Plan Fixer is a specialized Claude Code skill designed to transform human-readable project specifications into lean, instruction-heavy plans optimized for autonomous agent execution. By employing a multi-phase workflow—including automated gap analysis, Codex cross-validation, and automatic plan splitting—it ensures implementation plans are complete, concise, and structured to prevent context rot. This skill is essential for developers using orchestrators who need to ensure their AI agents have clear, actionable, and verified roadmaps before beginning complex coding tasks.
Key Features
01Converts human-oriented prose into structured, agent-ready command blocks.
02Cross-validates plans with Codex to ensure technical accuracy and completeness.
03Maintains non-destructive workflows by generating sidecar PLAN.md files and mapping tables.
04Performs iterative gap analysis to identify missing instructions or unhandled edge cases.
05Automatically splits complex plans into manageable task groups for long-run execution.
060 GitHub stars
Use Cases
01Splitting massive development plans into individual task modules for better orchestrator performance.
02Verifying a complex implementation plan before starting a long-running autonomous task.
03Converting vague project requirements into actionable, structured agent instructions.
