conorbronsdon

Grokkable Output — AI skill for Claude Code

AI community

Agent skill that makes AI replies parseable in one pass — verdict first, prose over fake structure, claims that trace to evidence.

How to install Grokkable Output

This entry records only its repository, not the path inside it, so there is no exact command to give. Open conorbronsdon/grokkable-output and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Grokkable Output does

Agent skill that makes AI replies parseable in one pass — verdict first, prose over fake structure, claims that trace to evidence.

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README

grokkable-output

**Make your agent's replies parseable in one pass — verdict first, no decoding required.**

[![GitHub stars](https://img.shields.io/github/stars/conorbronsdon/grokkable-output?style=social)](https://github.com/conorbronsdon/grokkable-output/stargazers) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![X](https://img.shields.io/badge/X-@ConorBronsdon-1DA1F2?logo=x)](https://x.com/ConorBronsdon)

TL;DR

A portable skill ([SKILL.md](SKILL.md)) that changes how an agent writes replies, reports, and status updates. Install:

git clone https://github.com/conorbronsdon/grokkable-output ~/.claude/skills/grokkable-output

What it makes the agent do:

Answer in the first sentence, then layer detail — you can stop reading anywhere and be correctly informed
Write causality as sentences, not A → B → fails chains, invented codenames, or fragment piles
Shorten by dropping what you don't need, never by cutting caveats or compressing grammar
Use structure (bullets, headers, bold) only when the content has that shape — a quick status is a paragraph, not a document
Trace every number and claim to something it observed; keep open questions open

Works with Claude Code, Cursor, OpenClaw, Codex, and anything reading the [agentskills.io](https://agentskills.io) format. Real before/after outputs in [`examples/`](examples/). Everything below is detail.

Models are rewarded for looking thorough; this skill makes them optimize for your parse time instead — a prompt-layer fix for an incentive problem.

Quick demo

![Terminal recording. After the question "ok what did you find?", the baseline reply scrolls past as a wall of bold headers and bullets, too fast to read. The grokkable-output reply types three sentences — what broke, what was done, how it was verified — and stops at "you can stop reading here."](docs/demo.gif)

An agent spent 40 minutes debugging production 500s. You