principle-laziness-protocol
Apply when refactoring, evaluating diff size, or tempted to add abstractions, layers, or signal threading. Bias toward deletion and the smallest change that solves the problem.
- License 许可
- MIT
- 所属仓库
- justomat/skills
- 最近更新
- 2026-09-05
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01 前言 Front Matter
- name
- principle-laziness-protocol
- description
- Apply when refactoring, evaluating diff size, or tempted to add abstractions, layers, or signal threading. Bias toward deletion and the smallest change that solves the problem.
02 资源文件 1
- 参考文档agents/openai.yaml161 B
03 SKILL.md 正文
Laziness Protocol
Writing code is cheap for you, which makes over-engineering easy. Counter it by borrowing a human maintainer's fatigue. Aim for the most result with the least code and complexity.
- Prefer deletion. When asked to refactor or improve, look for removals before additions.
- Maintain a flat call hierarchy. Avoid deep call chains. A rich interface that hides substantial work is not a deep call chain. If answering a question requires tracing through more than 3 files or layers, flatten it.
- Consolidate decisions. Do not repeat the same choice in several places. Put it behind one source of truth and pass the result as a simple flag.
- Minimize the diff. Make the smallest change that solves the problem. Fewer lines beat "elegant" boilerplate.
- Question the threading. If a task asks you to pass a new signal through types, schemas, pipelines, or similar layers, stop and look for a more direct path.
- Sweat the small leaks. Remove tiny pass-throughs, representation leaks, and duplicated choices before they spread. Small leaks compound into permanent coordination costs.
Prime directive: If a human developer would find the code exhausting to maintain, it is a bad solution. Be lazy. Stay simple.
04 同仓库更多 Skills
why
Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.
unslop
Cut AI tells from any writing. Must always apply.
typescript-best-practices
TypeScript best practices. Use when reading or editing any .ts or .tsx file.
tiktok-business-messaging
Integrate with the TikTok Business API — OAuth, direct messages, conversations, media, comments, auto-messages (welcome/suggested/chat prompts), video insights, comment-to-message direct replies, and webhook subscriptions for DIRECT_MESSAGE / BRAND_MENTION / VIDEO / COMMENT events. Use when working with `business-api.tiktok.com/open_api/v1.3/business/*` or `tt_user/oauth2/*` endpoints; building TikTok DM bots, inboxes, or comment automation for Business Accounts; handling `im_*`, `brand.mention.event`, `comment.update`, or `post.publish.*` webhooks; or when the user mentions TikTok Business Messaging, TikTok DMs, TikTok Business Account auth, brand mention webhooks, video insights, chat prompts, or `business_id`/`open_id` tokens.
technical-writing
Layered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax. Use for /technical-writing or when writing or reviewing docs, RFCs, readmes, PR descriptions, or commit messages.
teach
Explain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what they find into one clear explanation. Use for 'teach me this', 'help me really understand X', 'explain this change or subsystem to me'.