llm-friendly-context
Solid入力・出力・成功基準・決定事項・未解決条件を明確化し、下流エージェントが推測せず実行できるようにする。LLM向けのプロンプト・ハンドオフ・計画成果物・レビュー・レポート・生成指示を記述または改訂する時に使用。
Install
Quality Score: 88/100
Skill Content
Details
- Author
- shinpr
- Repository
- shinpr/ai-coding-project-boilerplate
- Created
- 1 years ago
- Last Updated
- 1 weeks ago
- Language
- JavaScript
- License
- MIT
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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.
devlab-ai-agent-engineering
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karpathy-guidelines
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.