「weight」の検索結果

"Apply Bayesian averaging to rank items by combining observed ratings with prior expectations. Use this skill when the user needs to rank items with varying review counts, build a 'top rated' list that handles low-sample items fairly, or implement IMDB-style weighted rating — even if they say 'weighted average rating', 'IMDB formula', or 'ranking with prior'.".

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Use when a task needs the judgment of a rotary drill operator (driller) — diagnosing a drilling break or kick warning sign, running well-control shut-in and kill-mud-weight calculations, setting trip margin and swab/surge limits before pulling out of hole, optimizing weight-on-bit and RPM against mechanical specific energy, or reviewing a rig-floor near-miss.

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Use when a task needs the judgment of a commercial pilot — computing density-altitude-adjusted takeoff/landing distance against runway available, checking weight-and-balance CG against the envelope (not just gross weight), deciding an IFR/VFR go/no-go against personal minimums instead of legal minimums, interpreting a METAR/TAF (TEMPO/PROB groups, 1-2-3 alternate rule) for a go decision, or setting divert/turn-back triggers before a flight departs.

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Use when a task needs the judgment of a cargo/freight agent — quoting a shipment across air/ocean/ground modes, calculating dimensional weight vs actual weight for billing, classifying freight by NMFC density class, preparing bill-of-lading/customs documentation, or processing a cargo-damage claim.

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Use when a task needs the judgment of an Aerospace Engineer — reconciling a vehicle mass/weight budget against a certification limit, computing a structural margin of safety, choosing a means of compliance for an FAA certification basis, tracing a weight-growth overrun back to a design decision, or evaluating a propulsion/aerodynamics tradeoff against a range or payload requirement.

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Build a weighted decision matrix to evaluate options. Use when the user says "decision matrix", "compare options", "weighted scoring", "which option should we choose", "evaluate alternatives", "Wiegers priority matrix", "force field analysis", "decision table", "trade-off analysis", "option comparison" - even if they don't explicitly say "decision matrix".

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**WORKFLOW SKILL** — Risk awareness before action. USE FOR: assessing risks (security, data integrity, compatibility, operational, reversibility) of any task at variable depth. Accepts weight: Light (quick scan), Standard (dimensional analysis), Deep (full Risk Radar with evidence). Can be invoked multiple times in the same flow with increasing weight. DO NOT USE FOR: penetration testing, compliance audits, static security analysis tools.

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Use this skill to create, configure, or tune Field Service Lightning scheduling policies — including work rules (pass/fail filters) and service objectives (weighted ranking criteria). Covers the four default policies, custom policy design, work rule type selection, and objective weighting strategy. NOT for running or tuning the Optimizer itself — use admin/fsl-scheduling-optimization-design. NOT for resource skills and preferences — use admin/fsl-resource-management. NOT for resource capacity records — use admin/fsl-capacity-planning.

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Structured multi-criteria decision analysis for ranking options with weights, constraints, confidence, tradeoff reasoning, sensitivity analysis, and explainable recommendations. Use when the user asks for decision support, MCDA, weighted scoring, prioritization, vendor selection, route planning, hiring shortlist ranking, tool comparison, procurement decisions, or auditable agent decision logic.

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Use when loading, listing, composing, or validating graded evaluation rubrics — PASS/WARN/FAIL grading with weighted criteria and balanced PASS/FAIL anchor examples. Triggers on /mk:rubric, "load rubric", "compose rubric preset", "validate rubric", or evaluator-style code review that needs anchor-grounded judgments.

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Determines age- and body weight-appropriate glucocorticoid dosage for pediatric patients with primary aldosteronism, particularly glucocorticoid-remediable aldosteronism (GRA), to avoid over-treatment. Use when prescribing glucocorticoids to children with confirmed or suspected PA; triggers include pediatric PA, GRA, or need to dose glucocorticoid based on age and weight.

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Calculates salmon calcitonin dose based on patient weight for rapid calcium lowering in hypercalcemia of malignancy. Triggered when a clinician considers rapid calcium lowering and asks about weight‑based calcitonin dosing.

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Monitors glucocorticoid replacement in primary adrenal insufficiency (PAI) patients using clinical assessment of body weight, postural blood pressure, energy levels, and signs of frank glucocorticoid excess. Trigger phrases include "PAI patient on glucocorticoid replacement," "assess for weight gain or insomnia," and "evaluate for postural hypotension or fatigue."

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Expert-level polymer chemistry knowledge. Use when working with polymerization mechanisms, polymer structure, molecular weight, mechanical properties, thermal analysis, rubber elasticity, polymer processing, or biopolymers. Also use when the user mentions 'polymerization', 'monomer', 'molecular weight', 'glass transition', 'crystallinity', 'elastomer', 'thermoplastic', 'thermoset', 'chain growth', 'step growth', 'living polymerization', or 'polymer blend'.

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Rastreie experimentos de ML com logging automático, visualize treinamento em tempo real, otimize hiperparâmetros com sweeps e gerencie registro de modelos com W&B - plataforma colaborativa de MLOps

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Lightweight multi-agent research orchestration using one coordinator, three domain leads, and three lightweight research agents. Use for medium-size research, market scans, competitor comparisons, prior-art style exploration, report planning, and any task that benefits from parallel domain decomposition without running a full high-cost research lab.

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Reads two or more supplier, bid or tender responses against a requirements list and returns a DRAFT comparison pack: a requirement-by-supplier matrix, gaps per supplier, clarification questions and neutral observations, for an evaluation panel. Never scores, weights, ranks or recommends a winner; the award stays with the panel. Use when the user asks to "compare these bids", "matrix the tender responses against our requirements", "collate the RFQ replies", "show me where each supplier falls short" or "draft clarification questions for the bidders". Do not use for scoring or weighting against agreed criteria, use supplier-evaluation-matrix instead, or for writing the requirements, use rfp-requirements-pack instead. Drafts for human review; never approves, authorises or signs off.

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Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability.

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Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability.

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Unified pull request workflow: prepare a safe branch, run read-only review, fix Required findings, create/update a GitHub draft PR, and verify CI plus automated review comments. Subcommands: `create` (simplify + PR, skip code review), `review` (read-only findings only), `fix` (Required fixes + commit, no push), `simplify` (simplification only), `verify` (existing PR checks/reviews only). Use when creating or reviewing PRs, self-reviewing changes, simplifying PR changes, or requesting "PR作成", "レビュー", "簡素化". Do NOT use for responding to review comments or a lightweight review of the current working diff without the PR workflow (use the built-in /code-review instead).

Designs and validates quantitative targeted metabolomics assays (MRM/SRM on triple-quadrupole, PRM on high-resolution instruments) to report absolute concentrations. Covers the internal-standard strategy (external cal -> global IS -> standard addition -> stable-isotope-labeled IS), weighted calibration judged by back-calculated %RE not R-squared, ion-ratio quantifier/qualifier confirmation, matrix-effect/recovery characterization, and ICH M10 method validation. Use when quantifying a closed panel of known metabolites with units, building or validating an LC-MS/MS assay, choosing an IS or calibration weighting, or judging whether a reported concentration is trustworthy. For untargeted feature detection see metabolomics/xcms-preprocessing; for group statistics see metabolomics/statistical-analysis; for flux/MID/tracing see metabolomics/isotope-tracing.

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スコアリング / ML のドメイン正しさのレビュー。SCORE_WEIGHTS の単一定義と合計1.0・ドキュメント追随、スコアリングと ML の10要素の一致（手書きで並ぶ全箇所の同時更新）、未来情報リーク（as-of カットオフを通していない取得経路の新設）、値域0〜100とゼロ除算、データ欠損時の既定値、学習・予測の決定性と再現性、JRA 枠番割当規則、バックテスト指標（1位的中率・上位3頭精度・順位相関・ROI）の計算を検証。Use when user says 'スコアリングレビュー', 'review scoring', 'ML レビュー', 'スコア計算チェック', '特徴量チェック', or 'バックテスト検証'.

Balances Hi-C contact matrices (ICE via cooler.balance_cooler, KR/SCALE/VC context), computes distance-decay expected with cooltools (expected_cis per-diagonal P(s), expected_trans scalar), builds observed/expected (O/E) matrices, and diagnoses polymer state from the P(s) log-derivative. Covers the within-matrix-vs-cross-sample distinction (balancing is NOT a normalizer), the equal-visibility assumption that CNV/aneuploidy violates (use raw counts for copy-number), cis-only balancing, mad_max/blacklist masking before balancing, multiplicative cooler weights vs divisive juicer weights, and the resolution-vs-depth budget. Use when balancing a .cool/.mcool, computing expected or P(s), making O/E matrices for compartments/loops, deciding ICE vs KR vs SCALE, choosing a resolution for a given depth, or troubleshooting NaN/all-NaN balanced matrices; route cross-sample comparison to hic-differential.

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Loads, converts, and manipulates Hi-C contact matrices in cooler format (.cool/.mcool/.scool) and Juicer .hic, using cooler (Python + CLI), hic2cool, and hictk. Covers the single-resolution mcool URI (file.mcool::/resolutions/<bp>), the load-bearing divisive-vs-multiplicative weight-naming rule (KR/VC/VC_SQRT auto-divisive vs cooler's multiplicative weight), what survives .hic<->.cool conversion (FRAG matrices and norm vectors do not), raw-vs-balanced coarsening, the .pairs upper-triangle/chromsize-order contract, and chrom-naming/bin-table provenance. Use when loading a cooler, converting .hic to .mcool, selecting a resolution, building a cooler from pairs or a matrix, coarsening/zoomifying, importing Juicer norm vectors, or debugging all-NaN balanced matrices and chr1-vs-1 empty fetches.

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