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AI Coding2026
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Applies an "ADHD-friendly" output style to coding assistants so answers lead with the next action, present numbered steps, and avoid burying results. Packaged as a reusable skill/plugin for coding-agent workflows (examples: Claude Code, Codex) and guided by a 10-rule style set.

Introduction

Contemporary coding assistants often bury the actionable answer under analysis and conversational framing; this skill enforces an action-first, tightly scoped output style so developers see the next step immediately and can act without sifting.

What Sets It Apart
  • Enforces a compact, operational reply pattern so the first line is the next action (no preamble). This reduces time-to-action for code debugging and triage.
  • Ten explicit rules (lead with next action, number multi-step tasks, end with one concrete next step, cap lists at five, etc.) so behavior is predictable and auditable by maintainers.
  • Works as a lightweight skill/plugin for coding-agent platforms (demonstrated with Claude Code and Codex hooks), enabling integration without modifying core model prompts.
  • Widely adopted signal: repository has thousands of stars, indicating community interest in output-styling for agent UX.
Who It's For and Trade-offs

Great fit if you use LLM-based coding assistants for debugging, triage, or stepwise code fixes and want consistently action-oriented responses without changing the model itself. It’s useful when speed and clarity matter more than exploratory reasoning.

Look elsewhere if you need the assistant to produce long-form design discussions, exploratory brainstorming, or deeply contextual narrative: the skill intentionally suppresses tangents and nuanced recap, which can remove helpful context for open-ended design work.

Where It Fits

Adopts a narrow behavioral contract for agent outputs rather than changing model architecture. Pair it with agents or plugins that already support third-party skills or middleware hooks to get immediate UX improvements for developer-facing responses.

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