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概要と使いどころ
This skill guides evaluation of venous thromboembolism (VTE) risk factors in Cushing's syndrome patients to prevent thrombotic complications. Use when assessing a CS patient for thrombotic risk, especially perioperatively; triggers include preoperative assessment, postoperative period (within 4-6 weeks), or presence of CS with additional risk factors such as prior VTE, immobilization, malignancy, or estrogen use.
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Assesses a patient’s ability to operate an insulin pump and make setting changes, evaluating dexterity, vision, mental health, and cognition for independent or assisted use. Triggered by phrases such as 'Check patient can manipulate pump controls' and 'Evaluate dexterity and vision for pump use'.
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。
Performs a structured pre‑prescription evaluation of mental/psychological status, prior diabetes self‑care adherence, willingness/interest in CSII, and availability for follow‑up visits. Triggers include: 'Evaluating pump candidacy', 'Pre‑pump checklist: psych, adherence, motivation, follow-up'.
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。
This skill recommends regularly evaluating for corticotroph tumor progression using pituitary MRIs and ACTH levels in patients with known Cushing's disease who underwent bilateral adrenalectomy and in patients undergoing this procedure for presumed occult ectopic ACTH secretion. Triggers include postoperative follow‑up after bilateral adrenalectomy, rising ACTH levels, or new pituitary lesion on MRI suggestive of tumor progression.
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This skill guides evaluation for malignancy using imaging in patients with a history of adrenal adenoma (post‑adrenalectomy Cushing’s syndrome) when the adenoma demonstrates a CT density of ≥10 Hounsfield units or when pathology is consistent with possible carcinoma. Trigger phrases include “CT density ≥10 HU”, “possible carcinoma on pathology”, and “post‑adrenalectomy CS patient with adrenal adenoma history”.
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This skill recommends computed tomography (CT) as the initial imaging modality for primary aldosteronism (PA) evaluation in Japan, citing its accessibility and comparable performance to MRI. It is triggered when a clinician orders imaging for suspected PA and asks 'What imaging should I start with?' or seeks a cost-effective initial evaluation.
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。
This skill guides annual evaluation of patients with primary adrenal insufficiency (PAI) for symptoms and signs of glucocorticoid and mineralocorticoid over- or under-replacement. Use during annual follow-up when assessing for weight changes, blood pressure abnormalities, edema, or symptoms such as fatigue, insomnia, or salt craving.
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。
lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).
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 and install ecosystem tools (Hermes plugins, skills, integrations) — assess complexity vs. benefit before installation, show examples for visual tools, and avoid "cloned but not configured" states.
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。
Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.
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。
Run the LangSmith evaluation suite and display pass/fail results
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。
Post-train LLMs with PrimeIntellect's prime-rl (async RL, SFT, distillation, evals). Use this skill whenever the user mentions prime-rl, wants to write an rl.toml or sft.toml, run `uv run rl` / `uv run sft` / `uv run eval` / `uv run inference`, pick GRPO, MaxRL, OPD or ECHO, tune IPO loss, or monitor and resume a run. Also trigger for verifiers environments, Prime Intellect post-training, reverse-text, and pydantic-config TOML overrides.
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 design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based testing, automated anti-pattern detection, and actionable feedback. Use when the user asks to review, critique, evaluate, or give feedback on a design or component.
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。
Find, build, evaluate, and improve systems using decision models. Use for bounded classification, routing, ranking, Choice/Score/Noul, decision-model composition, evaluation harnesses, prompt/program hill climbing, and Software 3.0 workflows across software, business, organizations, and life. Separate models, code, and human judgment. TypeSafe Jev is the default hosted exemplar. Not for straightforward arithmetic, prose rewriting, or provider setup alone.
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。
Black-box evaluation of a shipped LLM feature — adversarial probes for hallucination, prompt-injection, and cost-runaway vs stated expectations. Not RAG/embedding. Triggers 'review my chatbot'.
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。
Padrões de Retrieval-Augmented Generation incluindo chunking, embeddings, vector stores e otimização de recuperação. Use quando: rag, retrieval augmented, vector search, embeddings, semantic search.
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。
[Workflow] Use when activating the Research & Synthesis workflow — research a topic via web sources, then synthesize per --output={synthesis|business-eval|marketing|course} (knowledge report, business evaluation, marketing strategy, or course material).
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[Content] Use when you need to evaluate business idea viability: Business Model Canvas, financial projections, risk matrix, go-to-market, execution plan.
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Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures. Use when a healthcare deployment must be gated on patient-safety tests for CDSS accuracy, PHI exposure, and workflow integrity.
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新規プロンプト作成・既存プロンプト更新を端から端まで実行するとき、Gate/eval-log 連鎖で再現性高くプロンプトを生成するときに使う。
36章 PKG-001〜017 と package-contract.json schema を参照するとき、PKG ID の意味・適用 package_mode・eval-log 保存先を判断するときに読む。
7 層構造プロンプトを生成・更新するとき、owner_agent 向けに Prompt Templates/Self-Evaluation を充填するときに使う。
Use when rating whether a project, repo, skill, workflow, plugin, agent product or post uses TypeSafe's Jev (System One) model well -- "is this a good use of Jev?", "rate this Jev integration", "jevaluate <url>", or a link to something named after Jev; also when checking whether something that calls itself Jev actually uses it.
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 design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based testing, and actionable feedback. Use when the user asks to review, critique, evaluate, or give feedback on a design or component.
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。