「estimate」の検索結果

"Apply Difference-in-Differences (DID) to estimate causal treatment effects by comparing changes in outcomes between treatment and control groups. Use this skill when the user evaluates policy interventions, natural experiments, or regulatory changes, needs to test parallel trends, or when they ask 'did this policy work', 'how do I identify causal effects without randomization', or 'what is the treatment effect'.".

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"Apply the Capital Asset Pricing Model (CAPM) to estimate expected returns and assess risk-return tradeoffs. Use this skill when the user needs to calculate expected return on an asset, interpret beta as systematic risk exposure, evaluate whether an investment compensates for risk, or when they ask 'what return should I expect', 'what is the risk premium', or 'how does beta affect pricing'.".

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。

"Model viral spread dynamics using SIR/SIS/SEIR compartmental models. Use this skill when the user needs to predict content spread patterns, estimate viral thresholds, or model information cascades in social networks — even if they say 'will this go viral', 'epidemic model for content', or 'spread prediction'.".

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 conjoint analysis to measure how product attributes drive consumer preferences and willingness to pay. Use this skill when the user needs to quantify feature value trade-offs, estimate willingness to pay for specific features, or optimize product configuration — even if they say 'which features do customers value most', 'willingness to pay for feature X', or 'product attribute trade-offs'.".

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。

"Calculate price elasticity of demand to quantify how price changes affect sales volume. Use this skill when the user needs to estimate demand sensitivity, set optimal prices, or evaluate the revenue impact of price changes — even if they say 'how sensitive are customers to price', 'will a price increase hurt sales', or 'elasticity calculation'.".

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。

"Calculate Value at Risk to estimate maximum portfolio loss at a given confidence level. Use this skill when the user needs to quantify downside risk, set risk limits, or report regulatory risk measures — even if they say 'worst case loss', 'portfolio risk', or 'how much could we lose'.".

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。

Add technical context, implementation hints, and effort estimates to user stories

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。

Refine Product Backlog Items to meet INVEST criteria. Write User Stories with Acceptance Criteria in Given/When/Then format, estimate with Story Points, and flag dependencies. Use before sprint planning when backlog items need grooming. Do not use to prioritize the backlog — that is the Product Owner's decision.

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。

Calculate and display the token usage, turns, and estimated cost for the active session and subagent runs by parsing the harness session logs. Use when the user asks for token usage, session cost, or types `/pi-cost`.

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 AI image, video, audio, or 3D generation/editing. Prefer configured media tools when present, estimate cost before running a paid model, and keep provider credentials in the user's environment or provider configuration.

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。

Downloads a competitor's live ad creatives — the actual MP4s and JPEGs — from the Meta Ad Library into a local swipe folder, through the Novoads API. One sweep per competitor, priced by a live estimate before anything is charged, media pulled the moment the response lands because the CDN links expire, and every ad carried with its permanent Ad Library URL, the page running it, and how many audiences the creative is running against, closing with the three most established and why. Use when asked to spy on competitors, find what ads a brand is running, pull a competitor's video or static creatives, build or refresh a swipe file, check who is outspending you on Meta, or source a reference ad to recreate. It finds, ranks and files ads; it does not rebuild them — a static becomes your own ads, or a reusable template, via clone-image-ad. It writes no craft analysis and no creative brief. A sweep that finds nothing is a result, never an apology.

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 this skill whenever the user asks to run Stata commands, estimate econometric models, work with .dta files, run a .do file, generate Stata output, or do any statistical analysis where Stata is involved. Also trigger when the user mentions Stata variables, Stata syntax, or econometric tasks where Stata is the natural tool, including regressions, IV estimation, diff-in-diff, RDD, panel data, clustering, summary statistics, and margins. Stata runs through pystata on StataNow 19.5 BE; configure once with stata_setup, then drive everything with stata.run() and exchange data directly with pandas. Prefer this skill over subprocess calls or .do-file shelling for Stata work, including cases where the user does not say pystata.

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pyfixest demeaner_backend="cupy64" (including its CPU fallback when cupy is absent) is NOT numerically identical to the default numba backend and does NOT drop fully-absorbed/collinear regressors the same way. Use when: (1) adding demeaner_backend="cupy64" to existing pf.feols/fepois calls changes the printed coefficient table, (2) a regression report suddenly gains rows with absurd estimates (e.g. coef 435.8, SE 7106) for controls absorbed by the fixed effects, (3) diffing outputs before/after a backend change, or (4) anything parses a pyfixest text report by line position.

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 a task needs the judgment of an Environmental Restoration Planner — screening or comparing CERCLA/RCRA remedial alternatives against the nine evaluation criteria, building a life-cycle cost estimate for a Feasibility Study, scoping a stream or wetland restoration design against a reference reach, sizing compensatory mitigation credits, drafting a Statement of Work or Remedial Action Work Plan, or scoping a Five-Year Review for a site with land-use controls in place.

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 a task needs the judgment of a demographer — building a cohort-component population projection, reconciling fertility/mortality rate estimates against ACS or vital-statistics counts, judging whether a population trend is real or sampling/measurement noise, sizing a census undercount adjustment, or advising a public agency on age-structure-driven facility or service demand.

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 a task needs the judgment of an Auto Damage Insurance Appraiser — writing a repair estimate from photos or an in-person inspection, deciding repair vs. total loss against a state total-loss formula, evaluating a body shop's supplement request for hidden damage, determining actual cash value (ACV) for a totaled vehicle, or reconciling an OEM-vs-aftermarket-parts dispute.

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 a task needs the judgment of an auto-body-repairer — deciding whether a damaged structural component gets pulled or replaced, reconciling an insurance estimate against actual teardown damage, writing a supplement, determining whether a repair triggers ADAS recalibration, or checking a proposed repair against an OEM position statement.

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。

Analyze SERP for a keyword using Ahrefs live data: ranking pages, DR scores, traffic estimates, and content angle analysis. Use when user says "SERP analysis", "who ranks for", "SERP breakdown", "competitors ranking for keyword", "serp overview", "what's ranking for", "show me the SERP for", or "SERP competition for".

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。

Get a domain's top organic keyword rankings from Ahrefs: keyword, position, search volume, CPC, estimated traffic, and traffic share. Use when user says "Ahrefs keywords", "organic keywords", "keyword rankings", "what keywords rank", or "ranking keywords".

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 a domain's best performing pages by organic traffic from Ahrefs. Shows estimated traffic, traffic share, keyword count, and top keyword per page. Use when user says "top pages", "best pages", "highest traffic pages", "top performing pages", or "pages by traffic".

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。

Get Ahrefs domain overview: Domain Rating, total backlinks, referring domains, organic keywords, estimated monthly traffic, and traffic value. Use when user says "Ahrefs overview", "domain rating", "DR score", "check backlinks", "how strong is this domain", "domain authority", or "check domain in Ahrefs".

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 user wants to transact on any Volcengine commercial product — purchase/provision it, ask what it costs, or unsubscribe from it. Covers three actions: buy (purchase, subscribe, provision, open, place an order; Chinese "开通 / 购买 / 下单 / 买 / 售卖 / 订购"), price (how much does it cost, quote, billing rules, estimated spend; Chinese "多少钱 / 价格 / 报价 / 费用 / 怎么收费 / 如何计费 / 预估费用"), and unsubscribe (cancel a subscription, refund a prepaid instance; Chinese "退订 / 退款 / 取消订阅"). Trigger even when the user does not mention "sale" but expresses a clear purchase, pricing, or cancellation intent toward a Volcengine product. Only handles these three transaction actions; anything outside them is out of scope.

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。

Estimate causal effects from observational and experimental data — DAGs, confounding control, quasi-experimental designs, and sensitivity analysis. Use when you need "what causes what," not just correlation.

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。

Generate Terraform infrastructure-as-code for AWS, GCP, or Azure. Creates modular VPC, compute, database, cache, CDN, and monitoring configs with per-environment sizing, remote state, cost estimates, and security best practices..

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。