Agent Skillsshinpr/claude-code-workflows › llm-friendly-context

llm-friendly-context

GitHub

提供LLM友好型上下文编写规范,通过正向指令、具体化模糊术语、明确输出结构和分解步骤,消除下游执行歧义,确保AI代理能稳定、准确地完成任务。

dev-workflows-fullstack/skills/llm-friendly-context/SKILL.md shinpr/claude-code-workflows

Trigger Scenarios

编写或优化面向LLM的提示词 创建任务交接文档或规划工件 审查生成内容的清晰度与可执行性

Install

npx skills add shinpr/claude-code-workflows --skill llm-friendly-context -g -y
More Options

Non-standard path

npx skills add https://github.com/shinpr/claude-code-workflows/tree/main/dev-workflows-fullstack/skills/llm-friendly-context -g -y

Use without installing

npx skills use shinpr/claude-code-workflows@llm-friendly-context

指定 Agent (Claude Code)

npx skills add shinpr/claude-code-workflows --skill llm-friendly-context -a claude-code -g -y

安装 repo 全部 skill

npx skills add shinpr/claude-code-workflows --all -g -y

预览 repo 内 skill

npx skills add shinpr/claude-code-workflows --list

SKILL.md

Frontmatter
{
    "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."
  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 consumer: appropriate, proper, related, existing behavior, optional, as needed, if needed, per convention, unresolved alternatives, TBD, placeholder.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.

Ambiguous form Rewrite as
optional used as an unresolved choice Required, omitted, or required only under a named condition
Multiple alternatives that the next consumer must choose between The selected option, or a deterministic decision rule
as needed / if needed The triggering condition and required action
per convention The file, function, test, or documented convention to follow
related files Specific paths, globs, or search hints
existing behavior The observable behavior, source file, test, API response, or UI state to preserve
placeholder Exact temporary value/behavior, allowed dependencies, and verification expectation
TBD used as a placeholder for required information A blocking unresolved item with owner, required input, and decision effect
appropriate / proper A measurable criterion or checklist

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.

Version History

  • 416af89 Current 2026-08-12 16:38

    重构以对齐证据驱动模型自主性,完善工作流边界,保留正向指令意图,强化下游消费端的确定性。

  • 0d96a63 2026-08-05 22:04

    重构:基于证据收敛设计决策

  • d439b50 2026-07-31 02:52

    新增约束比例原则以简化任务;完善重写模式示例(如optional、as needed等);细化上下文提供规则,强调引用有效性。

  • 66e3b29 2026-07-05 11:59

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Metadata

Files
0
Version
416af89
Hash
a9ce9d99
Indexed
2026-07-05 11:59

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