「foundation」の検索結果

This skill should be used when the user asks to "make this animation feel natural", "fix motion that feels stiff/floaty/cheap", "my animation looks robotic", "choose an easing curve", "how do I use the Graph Editor", "add overshoot or bounce", "Easy Ease isn't enough", "make snappy motion", "pick a duration for this transition", "stagger a list animation", "sync animation to a beat", or "review motion for good timing". It is the tech-agnostic foundation for deciding how something should move.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the mobile repository has no theme tokens or component library yet (a new app, an "Apply design system" task, or a task that asks for one), before building any screen - writes the approved design system's generated files from get_design_system (files true) and builds the theme from them when there is one.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the repository has no design system yet (no tokens, no component library - a new site/app, an "Apply design system" task, or a task that asks for one), before building any page section - writes the approved design system's generated files from get_design_system (files true) and builds the tokens on them when there is one.

日本語の概要は準備中です。原文の説明を表示しています。

Foundational voice authority and AI humanizer — writes content in the user's authentic voice with built-in AI detection, and supports stealth / anti- attribution writing (forum personas, anonymous posts, "write as not-me"). Use when asked to write/draft/generate content, invoke /voice, /write-as-me, or /humanize, run voice calibration, check "does this sound like me?", "make this sound human" / "de-AI this", "write a forum post as [persona]", or run AI detection ("does this sound like AI?", "check for AI patterns", "anti-slop check"). Do NOT use this skill for code, technical docs, or any output the user has not asked to be written in their voice — code styling defers to the separate code-voice skill.

日本語の概要は準備中です。原文の説明を表示しています。

Design local AI engines for iOS. Use when wiring Apple Foundation Models, local classifiers, extraction, summarization, grounded answers, and cloud fallbacks.

日本語の概要は準備中です。原文の説明を表示しています。

16 evidence-graded behavioral-economics primitives. Use when asking will this nudge work, is a pricing decoy or dark pattern lawful, or what effect size to expect.

日本語の概要は準備中です。原文の説明を表示しています。

Applies planning/search theory (A*, CSP, MCTS, PDDL, HTN) to agents. Use when ordering tool calls, enforcing preconditions before side effects, or validating a plan.

日本語の概要は準備中です。原文の説明を表示しています。

Sizes queues and worker pools. Use when estimating Kingman G/G/1 mean waiting time, Erlang or Little's Law sizing, p99 under load, retry storms, worker counts.

日本語の概要は準備中です。原文の説明を表示しています。

Theory of Constraints primitives for focusing steps, drum-buffer-rope, throughput accounting, critical chain, and policy constraints. Use when sequencing by bottleneck.

日本語の概要は準備中です。原文の説明を表示しています。

Computes availability for redundant and series designs, failover, SPOFs, fault trees, FMEA, Weibull, and error budgets. Use when asking what uptime a design gives.

日本語の概要は準備中です。原文の説明を表示しています。

Analyzes hazards in systems or AI agents: STPA, guardrails, safety cases, incident analysis. Use when an agent can take actions or send payments.

日本語の概要は準備中です。原文の説明を表示しています。

Tests whether data supports a claim: A/B significance, peeking, sample size, eval error bars, multiple comparisons. Use when deciding if results are significant.

日本語の概要は準備中です。原文の説明を表示しています。

Team-theory primitives for cooperative agents: what each subagent sees, when to communicate, aggregation, Shapley credit, coalition topology. Use when organizing subagents.

日本語の概要は準備中です。原文の説明を表示しています。

Designs consensus, quorums, leases, idempotency, and CRDTs. Use when facing split brain, fencing tokens, exactly-once claims, duplicate retries, stale reads, or leader flapping.

日本語の概要は準備中です。原文の説明を表示しています。

Game-theory primitives for divergent incentives: Nash equilibrium, auctions, mechanism design, collusion, bargaining, reputation. Use when modeling strategic play.

日本語の概要は準備中です。原文の説明を表示しています。

Proves protocols and agent workflows with TLA+, P, Alloy, Z3, Dafny, or Lean. Use when proving protocols correct, writing TLA+ specs, or verifying LLM proofs.

日本語の概要は準備中です。原文の説明を表示しています。

Measures entropy, mutual information, KL/JS, bits-per-byte. Use when picking KL direction, comparing cross-tokenizer perplexity, trusting MI estimates, or semantic-entropy gating.

日本語の概要は準備中です。原文の説明を表示しています。

Grounding-theory primitives for common ground and repair. Use when deciding whether to ask a clarifying question, confirming a handoff was understood, or fixing multi-turn drift.

日本語の概要は準備中です。原文の説明を表示しています。

Audits whether scores, benchmarks, LLM judges, or surveys measure what we think. Use when a benchmark is saturated, a score unreliable, or judge agreement untrustworthy.

日本語の概要は準備中です。原文の説明を表示しています。

Formulates LP, MILP, CP-SAT models; diagnoses infeasibility and gaps. Use when a MILP is infeasible, shifts need scheduling under capacity, or choosing a solver.

日本語の概要は準備中です。原文の説明を表示しています。

Network-science primitives: centrality, influence seeding, communities, contagion vs homophily, GNN failures. Use when seeding a referral campaign or finding critical graph nodes.

日本語の概要は準備中です。原文の説明を表示しています。

Tests whether changes caused a metric move without a clean A/B test: DiD, synthetic control, IV, RDD. Use when asking did a launch cause lift.

日本語の概要は準備中です。原文の説明を表示しています。

PID/MPC/Kalman/anti-windup control primitives for feedback loops. Use when an autoscaler flaps, a controller overshoots after saturation, or budget pacing overspends at peak.

日本語の概要は準備中です。原文の説明を表示しています。

Diagnoses stalled teams or agent hierarchies with Beer's VSM and Ashby's Law. Use when orchestrators overload, escalations pile up, or team boundaries need redesign.

日本語の概要は準備中です。原文の説明を表示しています。