AnnualReports
Aggregate several hundred cybersecurity annual reports from CrowdStrike, Mandiant, IBM, Verizon, Microsoft, CISA, OWASP, Wiz,โฆ
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
Claude Code
$ npx -y skills add danielmiessler/lifeos --skill Superior --agent claude-code
Codex
$ npx skills add danielmiessler/lifeos --skill Superior -a codex -y
Cursor
$ npx skills add danielmiessler/lifeos --skill Superior -a cursor -y
Gemini CLI
$ npx skills add danielmiessler/lifeos --skill Superior -a gemini-cli -y
GitHub Copilot
$ npx skills add danielmiessler/lifeos --skill Superior -a github-copilot -y
OpenCode
$ npx skills add danielmiessler/lifeos --skill Superior -a opencode -y
Windsurf
$ npx skills add danielmiessler/lifeos --skill Superior -a windsurf -y
name: Superior
version: 1.0.2
evals:
manual:
reason: "whether the superior approach beats the one already planned is a judgment about the specific task"
falsifier: "the reviewer finds the superior approach is the original plan restated with stronger adjectives, a gap closes with no executable change and no named real limit, the pass ran on the literal ask without stating an inferred scope and why, the inferred scope jumps to a whole system the ask does not point at, the scope map covers less than the inferred scope, or an ask with an unclear intended scope ran without the scope interview"
metadata:
short-description: "Ask how a far smarter, fully informed, unconstrained mind would do this task, then close the gap between its approach and ours."
description: "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)."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 โ 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.
| Intent | Trigger | File | |----------|---------|------| | **Elevate** | any Superior request; invoked as a thinking skill on a hard task | `Intents/Elevate.md` |
The lens is defined by what that mind has and lacks, never by adjectives like "more careful" or "more thorough":
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.
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, o
โฐ๏ธ LifeOS โ The universal AI Harness designed to move you from Current to Ideal state in both life and work.
Aggregate several hundred cybersecurity annual reports from CrowdStrike, Mandiant, IBM, Verizon, Microsoft, CISA, OWASP, Wiz,โฆ
3-pass scope oscillation that holds a question constant while shifting zoom โ narrow/tactical, wide/strategic, then synthesis โโฆ
Curated aphorism collection with CRUD: content-based matching, themed search, thinker research, and usage tracking to avoidโฆ
Search and retrieve arXiv academic papers by topic, category, or paper ID โ with AlphaXiv-enriched AI-generated overviews. Usesโฆ
Static visual content in 20+ formats (diagrams, infographics, comics, icons, wallpaper) via Nano Banana Pro by default, Nanoโฆ
Directs visual quality across images, films, slides, and site captures through a direction council, two vendors' vision judgmentsโฆ
Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoidโฆ
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AIโฆ