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Superior

从真实目标出发重新审视大型系统、架构或战略,梳理适当的讨论范围,独立构思方案,并将与现有计划的差异转化为可执行的改进,同时保留实际约束。

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Thinking skill for big problems that swaps the solver: reads the scope it was given, infers the scope the asker most likely means, maps that, then asks how a vastly smarter, fully informed intelligence with none of our habits or invented limits would do it, and turns every gap between its approach and ours into a change we can make. Built for large scope (how a whole system is implemented, an architecture, a strategy); when the intended scope is unclear or too small, a short interview settles it first. USE WHEN superior, how would a smarter intelligence do this, what would a genius or superintelligence do, if you knew everything, are we thinking too small, best possible approach, how should this whole system be built, analyze how this big thing is implemented. NOT FOR constraint teardown (FirstPrinciples), many options (BeCreative), attacking a plan (RedTeam).

danielmiessler/LifeOS星标 19,635(GitHub 19,635 + cccskills 0)

实测评分 未实测

查看安装方法

适用场景

  • 从整体角度复查系统设计
  • 重新评估战略的前提与方向
  • 梳理复杂问题的讨论范围
  • 找出计划中的隐含假设

中文介绍

功能

面对大型问题时,此技能会根据提问者给出的范围,推断其真正想解决的问题,并据此确定合适的讨论范围。随后,它会像绘制地图一样梳理该范围,结合相关领域知识和当前方法,独立构思方案,不受现有计划牵引。它会找出新方案与当前方案之间的差异,并将每项差异转化为可执行的修改,或明确说明哪些是真正无法克服的限制。范围不清楚时,会先用简短问题确认;提问者已指定范围时,则会保留该范围。

适用场景

适用于整个系统的构成、架构、包含多个部分的开发工作、战略等需要累积多项判断的问题。它更适合重新审视较大的目标或决策;对于小型函数或单项工作,重新评估通常难以带来明显差异。也可以借此检查计划中是否存在基于假设而设定的限制。

使用示例

  • “请设计笔记应用的同步方式,并考虑更好的方案。”
  • “请从合适的范围重新审视这个重试处理问题。”
  • “请不要受当前方案影响,独立思考这个战略。”

注意事项

讨论范围过小或含糊时,会先确认范围。提问者设定的限制会继续保留。

本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。

文档检查

AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。

安全性发送数据、删除文件、执行命令等是否有说明
A良好资料未说明外部发送或破坏性操作,并要求保留提问者设定的限制。
安装难易度所需工具和 API 密钥是否少且有说明
A良好未列出必需的外部工具或密钥;没有配置目录时使用默认设置。

不计入评分。 由 AI(OpenAI Codex)于 2026年10月28日 评估。仅供参考,安装前请同时查看原文。

如果您认为评估有误,请申请复核

请写明哪一项有误以及原因。无需登录。我们会对照 SKILL.md 重新评估,并在此处更新结果。

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包含的文件(3)

  • SKILL.md8.5 KB
  • Intents/Elevate.md6.0 KB
  • Tools/.gitkeep0 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Superior

Every approach we take is shaped by the mind taking it: what it happens to know, what it has seen done before, what it assumes is expensive or impossible, how much effort it expects to spend. Superior holds the task fixed and replaces that mind. It asks how an intelligence far beyond ours would do this exact task — one that knows everything relevant including the current frontier, carries no habits or inherited conventions, invents no constraints, reasons cleanly from first principles, and cares only about the real goal behind the request. Then it measures the distance between that approach and the one we were about to take, and closes as much of it as reality allows.

Superior is built for big problems: how a whole system is implemented, an architecture, a strategy, a multi-part build. On a one-function question the superior mind and ours give the same answer, so the pass earns nothing. The value appears at scale, where habits and invented limits compound across many decisions.

FirstPrinciples changes what we believe about the problem. Superior changes who is solving it. They pair well: Superior often surfaces a constraint we invented, and FirstPrinciples is the tool for proving it was invented.

Ideal State

  • The pass runs at the proper scope of § Scope Comes First and states it in one line with its reason; an ask too small to earn anything is widened by a scope interview or by stating the inferred scope, never run on the small scope as given. A scope the caller fixed runs as given, with no interview.
  • The superior approach comes from the mind defined in § The Superior Mind, written before our current plan is reread (or by a blind agent when anchoring is likely), and is concrete enough to execute.
  • Every difference between that approach and ours ends as an executable change or a named real limit, and no constraint the principal actually set is dropped.

Intent Routing

IntentTriggerFile
Elevateany Superior request; invoked as a thinking skill on a hard taskIntents/Elevate.md

The Superior Mind

The lens is defined by what that mind has and lacks, never by adjectives like "more careful" or "more thorough":

  • It knows the field. The best existing methods, the frontier work, the tools and prior art we have not heard of, how experts in adjacent fields solve the same shape of problem.
  • It sees the goal, not the ticket. It may reframe the task, solve a bigger version that makes this one trivial, or show that the task should not exist.
  • It invents no limits. Time, cost, tooling and "how it's done here" are questioned unless they are physics or a constraint the principal actually set. Real constraints it respects completely.
  • It reaches for leverage. It looks for the one move that makes most of the work unnecessary before doing the work.
  • It is not anchored. It never saw our first idea, so it is not improving our plan; it is producing its own.

Scope Comes First

The pass begins from the scope it was given (the named file, feature, system or question) and works out what the asker most likely means by it. The literal ask is evidence, not the boundary: "how is the login implemented" usually means the auth flow end to end, not the one handler that was opened, and almost never means the whole product.

Abstract up to the proper scope, and no further. The proper scope is the smallest unit that contains the real goal: the level where the decision the asker cares about actually lives, reasoned from what was named, the surrounding conversation, the project, and what the answer will be used for. "The whole system" is the scope only when the ask points there. The result is stated before mapping, in one line: Scope: <inferred scope>, from <what was asked>, because <reason>.

When the inference is not confident, Elevate's scope interview settles it. Its questions find the right level: what this belongs to, what decision the answer feeds, and how far to reach (this piece, the feature, the subsystem). A scope the caller already fixed is the scope.

Data & Config

User customizations, when present, live at <configRoot>/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Superior/ (configRoot is $CLAUDE_CONFIG_DIR when set, else ~/.claude). Any PREFERENCES.md, configurations, or resources there override the defaults; when the directory does not exist, proceed with skill defaults.

Gotchas

  • Scope is inferred, never defaulted (principal, 2026-10-09). There are two failures. Run on the literal file or function named, and the superior approach matches ours with an empty gap table. Jump to "the whole system" by default, and the pass maps something nobody asked about. The first version of this rule made the second mistake. Reason from the ask to the level where the real goal lives, and say why in the scope line.
  • Anchoring is the main failure (design-time, 2026-10-07). Run inline after a plan already exists, the "superior" answer comes back as that plan with adjectives. Full mode exists for this: the agent sees the goal and the real constraints, never our draft.
  • Full mode audits the facts in the brief, not just the plan (2026-10-07, first real run). Asked how to reach a target figure, the blind agent first checked the baseline it was handed and found it overstated, because the tool reporting it had been built that same day. Hand it the sources behind every figure, not only the figures, so it can do that.

Examples

Example 1: Hard design work

User: "Design the sync layer for the notes app. Run Superior on it."
→ Elevate, full mode: scope map of the app, server API and clients first; a fresh agent gets the map, goal and constraints, never our draft design
→ It returns a CRDT-based local-first design; we had planned server-authoritative REST with conflict prompts
→ Gap table: knowledge (CRDT libraries are mature), convention (server-as-truth), invented constraint ("offline is an edge case")
→ Changed plan adopts local-first; the one real limit (existing server API) is kept as a migration path

Example 2: Ask too small to run

User: "Superior on this retry helper."
→ The helper alone is too small, and it has callers in two places, so two scopes are plausible
→ Elevate asks: "I'd read this as the job runner's retry path; is that right, or is it the HTTP client?"
→ Principal: "Job runner; jobs keep double-firing."
→ Scope: the job runner's retry and dispatch path, not the whole runner; the map shows retries in three layers; the superior approach is idempotent jobs, which makes the helper unnecessary

Example 3: Inline lens during a max-effort run

A depth turn ("think deeply") on a strategy question; Superior runs beside FirstPrinciples
→ Elevate, light mode: one inline pass, stated before the current plan is reread
→ Superior approach dissolves half the task by reframing who the audience is
→ Two gaps adopted, one blocked by a principal-set budget, recorded in the ISA Decisions

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