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
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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."
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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.
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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.