llm-friendly-context

Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream agents can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.

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Repository: shinpr/codex-workflows
Last source activity: November 2, 2026 at 22:27
Detected SKILL.md language: English
Stars: 40
Forks: 7

Install options

The review-first prompt is selected by default. You can switch to a direct command or download a local copy.

Install with an AI assistant

Copy this prompt into the AI assistant you're using.

Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/shinpr/codex-workflows/tree/main/.agents/skills/llm-friendly-context.

A direct command skips the review prompt. Inspect the source before running it.

npx skills add https://github.com/shinpr/codex-workflows --skill llm-friendly-context

The command stays on one line. Scroll horizontally to inspect it before copying.

Prefer a local copy? Download the files currently available to SkillsMP.

Review the source files

Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.

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3 files

SKILL.md

Source instructions · Read-only preview

name	llm-friendly-context
description	Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream agents can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.

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documentation-criteria

Determines which PRD, ADR, UI Spec, Design Doc, and Work Plan a change requires and where each document lives. Use when deciding documentation scope or creating or reviewing one of these artifacts.

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recipe-fullstack-implement

Run the full-cycle implementation workflow for one outcome spanning backend and frontend layers.

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reviewee-judgment

Evaluates received review results before they generate work by separating problems from proposed fixes and comparing responses in a fixed decision order. Use whenever review results may lead to artifact changes; does not produce reviews.

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llm-friendly-context

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Install options

Install with an AI assistant

Review the source files

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Install with an AI assistant

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