llm-friendly-context

Installation
SKILL.md

LLM-Friendly Context

The goal is stable downstream execution: the next agent should know what to read, what to do, what counts as success, and when to stop or escalate.

Core Rules

  1. Use positive, executable instructions

    • State what the next agent should do.
    • Convert quality policies into positive criteria.
    • Example: "Preserve existing public API behavior across the documented compatibility cases."
  2. Make vague instructions concrete

    • Replace subjective terms with observable conditions, paths, commands, schemas, examples, or decision rules.
    • Terms that often need clarification when they leave a decision to the next agent: appropriate, proper, related, existing behavior, optional, as needed, if needed, per convention, unresolved alternatives, TBD, placeholder.
  3. Specify output shape

    • Define required sections, fields, table columns, JSON keys, or checklist items.
    • For handoffs, include paths to produced artifacts and the exact status fields the caller must inspect.
Installs
4
GitHub Stars
670
First Seen
Jun 29, 2026
llm-friendly-context — shinpr/claude-code-workflows