Optimizes AI content production pipelines using rubric-based evaluation and iterative refinement loops.
The Heuristic Template skill provides a structured methodology for building high-quality AI-driven document generation pipelines within Claude Code. By applying the Principle of Least Action, it helps developers design multi-gate evaluation systems that catch errors early, reduce token costs, and ensure outputs meet strict quality criteria. This skill includes a complete framework for defining rubrics, creating constrained templates, and managing self-correcting iteration loops, making it essential for anyone building automated technical documentation or complex reporting systems.
Key Features
01Cost-optimized iteration loops using the Principle of Least Action
02Template-driven generation with embedded structural constraints
03Multi-mode evaluation including deterministic, model-graded, and human checks
04Rubric-based evaluation with multi-stage quality gates
050 GitHub stars
06Automated clarification protocol to align on document intent and audience
Use Cases
01Creating self-correcting AI pipelines for long-form content production
02Designing standardized evaluation rubrics for LLM-generated outputs
03Building automated technical documentation systems with quality assurance
