「train」の検索結果

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.

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This skill recommends against initiating puberty blocking or gender-affirming hormone treatment in prepubertal children diagnosed with gender dysphoria or gender incongruence. Clinical triggers include a young child presenting with GD/gender incongruence and caregivers or clinicians considering hormone intervention.

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This skill determines whether a patient using a hybrid closed-loop insulin pump can continue this therapy upon hospital admission. It is triggered by questions such as "Can hybrid closed-loop pump be continued given hospital constraints?"

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Decide whether commonly-excluded patients (eating disorders, elderly ≥75, upper GI disease) can actually receive a GLP-1 receptor agonist. Use when a clinician asks "can I give semaglutide to a patient with binge eating disorder / anorexia / bulimia", "is liraglutide safe in an 80-year-old", "GLP-1 with GERD or chronic gastritis", "GLP-1 in sarcopenic elderly", or anytime a patient is being ruled out for GLP-1 therapy based on a perceived contraindication. Grounded in Gorgojo-Martínez 2023 §6 (Myths or Reality).

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Recommends real-time CGM with confirmatory POC-BG for insulin dosing adjustments in insulin-treated hospitalized adults at high risk of hypoglycemia when resources and training are available. Triggers include: "Should we use CGM for insulin adjustments?" or "Is CGM appropriate for this patient?

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This skill provides a shared decision-making framework for selecting second-line therapies in patients with ACTH-dependent Cushing's syndrome who have persistent hypercortisolism after transsphenoidal surgery or for whom surgery is not feasible. Clinical triggers include "failed TSS", "non-curative pituitary surgery", "persistent UFC elevation post-op", and "surgery contraindicated".

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This skill suggests administering a glucocorticoid antagonist (e.g., mifepristone) in patients with Cushing's disease who have diabetes or glucose intolerance and are not surgical candidates or have persistent disease after transsphenoidal surgery. Consider when encountering persistent hypercortisolism after TSS, contraindications to surgery, or comorbid diabetes/glucose intolerance requiring medical control.

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Complete bedside prescribing reference for Mirago (mirabegron, beta-3 adrenoceptor agonist) for overactive bladder — covering contraindications, safety screening, drug interactions, dose selection in special populations, titration, and administration. Use when a clinician asks how to start mirabegron, what dose to use in renal or hepatic impairment, is mirabegron safe in this patient, mirabegron drug interactions, or Mirago for OAB.

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Draft a Workflow Phase 1 intake document capturing a new request — the problem, the desired outcome, constraints, and testable acceptance criteria. Use when a user brings a new feature, change, or investigation that doesn't yet have a spec. The output lives at `docs/intake/<slug>.md` and feeds `/scout`, `/research`, and `/spec` downstream.

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Workflow Phase 3 — Research and Solution Exploration. Surfaces 2–4 candidate solution approaches with concrete tradeoffs, grounded in current library docs (fetched through the provider named in `.claude/docs-provider.json`) — never in training-data recall. Output lives at `docs/research/<slug>.md`. Candidate ranking and the memo execute in main context; doc/source gathering MAY be delegated to read-only advisory subagents (seed.md §4.2-A).

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Continuously bridges DESIGN.md into the active planning phase. When the user is working on a UI phase, reads the project's DESIGN.md, extracts the relevant token slice, and appends it to findings.md under "## Design Context" so the agent sees design constraints in its attention window. Never edits DESIGN.md, never edits task_plan.md. Idles when DESIGN.md is absent.

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Use for strategic thinking, or when the user must choose a direction under constraints: "where should we focus?", "how do we win?", "roadmap for next year", "what should we not do?". Ends in explicit bets and risks. Skip for step-by-step implementation.

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Generate project ideas via creative constraints.

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Skill pour accéder aux services français : trains SNCF, suivi.

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Talk to your Garmin data — ask questions about your activities, training load, VO2 Max, heart rate zones.

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Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints.

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Chicago CTA L train arrivals, bus predictions, and service alerts.

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A comprehensive toolkit for AI agents operating under budget constraints.

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Keep your constraints healthy — lifecycle management with automatic staleness detection.

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Search Deutsche Bahn train connections using the bahn-cli tool.

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Explains the ~/.worktrees/<path-key>/<branch> worktree convention, the dotfiles-repo opt-in, and what a dotfiles worktree cannot validate. Use to understand or explain worktree layout and its constraints; use the git-worktree skill to actually create, switch to, or delete one.

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Retrieve current documentation, API references, and code examples for any library, framework, SDK, CLI tool, or cloud service — including well-known ones like React, Next.js, Prisma, Django, or Spring Boot. Use for API syntax, configuration options, version migrations, setup instructions, and library-specific debugging, even when you already think you know the answer: training data on API details and signatures is frequently outdated. Prefer this over web search for library documentation.

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Plan the UX and UI for a feature before writing code. Runs a structured discovery interview, then produces a design brief that guides implementation. Use during the planning phase to establish design direction, constraints, and strategy before any code is written.

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Opinionated constraints for building better web interfaces with coding agents. Use this skill whenever the user asks you to build, review, or fix a UI — landing pages, dashboards, components, or any frontend code — and whenever you write Tailwind CSS, motion/react animations, accessible component primitives (Base UI, React Aria, Radix), or review agent-generated interface code for quality, accessibility, and performance. Also trigger for "make the UI better", "review my interface", "clean up this component", or any frontend work in React, Next.js, or plain HTML/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。