「weight」の検索結果

Guide a non-stigmatising pediatric obesity consultation using the 5As framework (Ask, Assess, Advise, Agree, Assist) and 4Ms assessment (Metabolic, Mechanical, Mental Health, Social Milieu), based on the CMAJ 2025 guideline. Trigger when a clinician asks how to approach a weight conversation with a child or family, how to use the 5As for obesity, how to assess a child with obesity, or how to conduct a non-judgmental obesity visit.

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。

Screen a child with obesity for red flags suggesting monogenic, syndromic, or secondary endocrine causes — distinguishing atypical from typical exogenous obesity. Trigger when a clinician asks whether obesity could be genetic or hormonal, suspects Prader-Willi syndrome, Cushing disease, hypothyroidism, ROHHAD, Bardet-Biedl syndrome, leptin deficiency, or craniopharyngioma, or when a child has early-onset severe obesity, short stature with obesity, hyperphagia, hypotonia, dysmorphic features, or developmental delay with weight gain.

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。

Screen a child aged 13+ with obesity for eligibility for bariatric surgery (laparoscopic sleeve gastrectomy or Roux-en-Y gastric bypass) using the CMAJ 2025 guideline. Trigger when a clinician asks whether a child qualifies for weight loss surgery, bariatric surgery in adolescents, sleeve gastrectomy in a teenager, or when to refer for surgical management of pediatric obesity.

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。

The Endocrine Society guideline recommends against routine hormonal monitoring of glucocorticoid replacement in primary adrenal insufficiency and advises adjusting therapy solely based on clinical response. Use when evaluating glucocorticoid dose adequacy, such as when patients report fatigue, weight loss, hypotension, or signs of Cushingoid over-replacement.

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Draft a Business Requirements Document (BRD) for cross-functional or stakeholder-heavy work that needs more structure than an intake. Use after `/intake` when the request spans multiple systems/teams, carries regulatory weight, or needs formal sign-off. Output lives at `docs/brd/<slug>.md`.

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Core UI/UX engineering skill for building highly interactive, spatial, weightless, and glassmorphism-based web interfaces using GSAP and 3D CSS.

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 for tradeoff analysis, or when the user must pick between concrete options: "A or B?", "which library should we use?", "build vs buy", "compare these approaches". Scores options on weighted criteria, tests sensitivity and reversibility. Skip for open ideation or single-option reviews.

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。

W&B: log ML experiments, sweeps, model registry, dashboards.

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。

Apple's native `container` CLI for running Linux containers as lightweight per-container VMs on macOS 26 Apple Silicon. Load when creating, configuring, managing, backing up, sharing, or deleting containers, images, volumes, or networks with `container`; when `container` or `container system start` fails; or when choosing between `container` and Docker/Podman/Colima on a Mac.

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。

Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.

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。

Derive a type system from a style constraint — font pairings, scale/line-height/weights, DTCG tokens via design-tokens. Use to choose fonts or build a typographic scale.

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 choosing between alternatives with trade-offs — X-or-Y decisions or a weighted decision matrix / gewichtete Entscheidungsmatrix ('score my options'); ADR via `adr-create`.

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Use between coding-agent runs (Codex, Claude Code, Cursor, Aider, etc.) to stop the project from drifting, overbuilding, or accumulating dead weight. Forces a read-only audit that classifies every active item as KEEP / DELAY / REMOVE and ends with a single, unambiguous next action. Trigger on "audit before continuing", "what should I do next", "this project got too big", "between runs", "trim scope", "stop adding stuff", or any signal that the project feels noisy and the next step is unclear. Do NOT load for trivial one-line fixes, when the next action is already obvious, or when you're mid-run and just need to keep going.

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Use when managing Alibaba Cloud Simple Application Server (SWAS OpenAPI 2020-06-01) resources end-to-end, including querying instances, starting/stopping/rebooting, executing commands (cloud assistant), managing disks/snapshots/images, firewall rules/templates, key pairs, tags, monitoring, and lightweight database operations.

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 engineering principles for making interfaces feel polished. Use when building UI components, reviewing frontend code, implementing animations, hover states, shadows, borders, typography, icons, micro-interactions, enter/exit animations, or any visual detail work. Supports quick and full review modes. Triggers on UI polish, design details, "make it feel better", "feels off", stagger animations, border radius, optical alignment, font smoothing, tabular numbers, image outlines, box shadows, icons, icon stroke weight, icon states, motion restraint.

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。

Compare model candidates using weighted metrics and deterministic ranking outputs. Use for benchmark leaderboards and model promotion decisions.

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Observe the harness itself — (WS1) measure context budget as a deterministic, trendable inventory (tokens per CLAUDE.md / skill / agent, lexical redundancy, per-CI cold-write totals; committed history.jsonl), (WS2) reconstruct the real invocation trace (which skills/agents/tools fired and how they nested) from session transcripts, and (WS-A) roll the per-run CI traces up into a committed weekly usage record (per-skill invocation counts; usage.jsonl) — the usage side of the dead-weight join. Use for "context budget", "how big is CLAUDE.md / our skills", "is the harness bloating", "how do our agent loops actually run", "which skills actually get used", "trace this session", "loop station".

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。

AI-powered design review for Figma components with weighted dual-scoring system. Evaluates Style Guide Implementation (70%) and LLM Metadata Accessibility (30%). For export, hands off to atomic-design 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。

Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.

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。

Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.

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。

Campaign attribution analysis involves systematically evaluating evidence to determine which threat actor or group is responsible for a cyber operation. This skill covers collecting and weighting attr

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。

Evaluate project deliverables (code, docs, config) and calculate a 0-100 completeness score with weighted criteria and prioritized action items. Use when assessing project readiness, reviewing milestones, or identifying gaps before release.

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。

Work through which package to add for a capability, and what each option costs — maintenance, licence, bundle weight, transitive risk, and whether the platform already does it. Use when someone needs a library for a job and has not picked one yet, when weighing two candidates, or when a package looks convenient but unmaintained.

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。

Create a look-alike audience from a seed audience and a candidate population dataset. Classifies Rosetta Stone attributes, generates the same materialized-view scoring pipeline Lookalike Studio emits (Naive-Bayes categorical weights + Gaussian continuous similarity), gates on approval, submits via `narrative_workflows_create`, and monitors the build to completion. Use when: "create a lookalike audience", "find more users like this segment", "expand my seed audience to 500k similar users", "score the population against my customers", "build a look-alike of dataset X". (narrative-audience)

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。