What it does

Opencode Coding is a high-performance skill designed to enforce senior-engineer coding standards across any AI model. It moves beyond "prompt-and-hope" coding by mandating a rigorous technical workflow: verify first, implement the narrowest defensible change, and prove success through execution rather than inspection.

Why use this skill

Standard LLM coding often suffers from "hallucinated confidence" and bloated, speculative refactors. This skill solves that by forcing the agent to adopt a Codex-grade standard. It is better than simple prompting because it embeds a systematic engineering contract: every change must be localized, every bug must be reproduced, and every completion must state exactly what was verified and what remains unknown. It turns your agent into an engineer that values stability and evidence over cleverness.

Key Features

• Evidence-Based Debugging: Identifies root causes and reproduces failures before proposing fixes.
• Minimal Impact Diffs: Prioritizes the smallest safe change to preserve project patterns and reduce regression risk.
• Verification-First Workflow: mandates running targeted tests, linters, or manual validations before reporting success.
• Standardized Reporting: Every output includes a "Response Contract" detailing what was Verified, Inferred, and Unknown.

Supported Use Cases

This skill is framework-agnostic and works across any tech stack. Use it for complex feature implementation, surgical bug fixing, safe refactoring of legacy modules, and rigorous PR reviews where functional correctness is the priority.