Individual skill
experiment-iterative-coder
Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft).
skills/experiment-iterative-coder/SKILL.md
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- Last checked
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- Repository last updated
- Oct 27, 2026
- License
- Apache-2.0
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- skills Repository topic
- ai-agent Repository topic
- ai4science Repository topic
- vibe-research Repository topic
- core Declared skill tag
- code-generation Declared skill tag
- iteration Declared skill tag
- refinement Declared skill tag
- testing Derived category
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# Iterative Coder
Iterative code refinement through structured plan → code → evaluate → refine cycles. Each cycle runs objective checks (lint, tests) and self-evaluation, then diagnoses failures and plans targeted improvements. Reaches production quality in 3-8 iterations.
## When to Use This Skill
- Main agent delegates a code task prefixed with "MODE: MORE_EFFORT"
- User selected "More Effort" mode for code generation
- Task requires high code quality with verified correctness
- Task involves complex implementation (5+ files, multiple modules)
- You want to iterate on code quality rather than submit first-pass code
- You mention "iterative refinement", "code quality loop", "plan-code-evaluate"
## The Iteration Mindset