version: "1.0.1" name: llm-friendly-context description: Clarifies inputs, outputs, success criteria, decisions, and unresolved conditions so downstream consumers can execute without guessing. Use when writing or revising LLM-facing prompts, handoffs, planning artifacts, reviews, reports, or generated instructions.

LLM-Friendly Context

The goal is stable downstream execution: the next consumer should know what to read, what to do, what counts as success, and which unresolved decisions can change the result.

Core Rules

1. Use positive, executable instructions

• State what the next consumer should do.
• Convert quality policies into positive criteria.
• Keep a prohibition only when it protects an irreversible boundary or shipped contract. Name the protected condition and the allowed action.
• Example: "Preserve existing public API behavior across the documented compatibility cases."

1. 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 consumer: appropriate, proper, related, existing behavior, optional, as needed, if needed, per convention, unresolved alternatives, TBD, placeholder.

1. Specify output shape

• Use the sections, fields, table columns, JSON keys, or checklist items the consumer uses.
• For handoffs, include only produced artifact paths and status fields that control the next transition.

1. Provide necessary context

• Include the purpose, source artifacts, hard constraints, accepted decisions, and unresolved conditions.
• Prefer concrete file paths and section hints over broad module names.
• Follow references while they can change an in-scope decision, action, or verification result.

1. Decompose complex work into verifiable steps

• Split work with 3+ objectives or sequential dependencies into ordered steps.
• Each step needs a checkpoint: what evidence proves it is complete.

1. Permit uncertainty explicitly

• Resolve missing operational detail from referenced artifacts and repository evidence before treating it as unresolved.
• Record remaining uncertainty with its effect, required input, and decision owner. Make reversible repository-local choices when governing evidence resolves them.

1. Keep constraints proportionate

• Add only constraints that reduce ambiguity or preserve a real requirement.
• Keep simple downstream tasks lightweight when the target action, context, and success criteria are already clear.
• Apply minimal, a few lines, and explicit line estimates to the completed diff as one total budget.

Rewrite Patterns

Use these rewrites before treating a prompt, handoff, or artifact as complete.

Handoff Checklist

Before sending a prompt or artifact to another consumer, verify:

• [ ] The target action is explicit.
• [ ] Required input paths, source artifacts, and decision-relevant facts are named.
• [ ] Accepted decisions and constraints use one canonical wording.
• [ ] Output format or expected status fields are specified.
• [ ] Success criteria are observable.
• [ ] Ambiguous expressions have been rewritten or marked as unresolved.
• [ ] Each instruction states the allowed action; each retained prohibition names the protected condition and allowed alternative.
• [ ] The next consumer can complete its scope from the supplied purpose, sources, criteria, and evidence, or return the exact unresolved decision and owner.

Generated Artifact Checklist

Before writing or finalizing a generated document:

• [ ] Each requirement, claim, task, test skeleton, or review finding has enough source context to trace why it exists.
• [ ] Every executable instruction names the target, action, and expected result.
• [ ] Verification steps say what to run or observe and what result proves success.
• [ ] Each instruction states the allowed action; each retained prohibition names the protected condition and allowed alternative.
• [ ] If an artifact is derived from another artifact, copied decisions stay consistent in wording and meaning.
• [ ] If downstream work is blocked by missing information, the artifact records the missing input, decision owner, and effect.