AI Skills Catalog
Development

Zero Hallucination Coder

Runs a disciplined Discuss -> Map -> Decompose -> Execute -> Verify loop that grounds code in verified structure — no invented APIs, no assumed imports, no placeholder code — with a lazy-senior-dev YAGNI ladder that deletes unnecessary code

VerifiedFreeMITv1.0.0
SKILL SCORE92Engagement score

Works with

ClClaudeNative
CoCodexPackaged
GPGPTPackaged
GeGeminiPackaged
CuCursorPackaged
OpOpenCodePackaged

Zero Hallucination Coder

Runs a disciplined Discuss -> Map -> Decompose -> Execute -> Verify loop that grounds code in verified structure — no invented APIs, no assumed imports, no placeholder code — with a lazy-senior-dev YAGNI ladder that deletes unnecessary code before it is written. Use when a coding task is high-stakes, complex, or spans existing code (auth, databases, migrations, multi-file features), or when the user explicitly asks t

Optimized workflow

This edition turns the source methodology into a repeatable agent workflow with explicit inputs, checkpoints and deliverables.

Quality standard

  • Confirm scope and missing inputs before execution
  • Ground decisions in available evidence and preserve source constraints
  • Return an actionable result with assumptions, risks and next steps

Agent compatibility

The same core method is packaged for Claude, Codex, GPT, Gemini, Cursor and OpenCode.

Permissions & security

Low risk

Source verified · conversion tested · security signals reviewed

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