「cost」の検索結果

Invokes Google Gemini models for structured outputs, image generation, text-to-speech narration, multi-modal tasks, and Google-specific features. Use when users request Gemini, image generation, Gemini TTS or a synthesized voice, structured JSON output, Google API integration, or cost-effective parallel processing.

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 an opt-in deep codebase audit with persisted findings. Confirm cost before dispatch; filing and telemetry need separate approval.

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 an opt-in deep codebase audit with persisted findings. Confirm cost before dispatch; filing and telemetry need separate approval.

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。

When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad budget,' 'cost per click,' 'ad spend,' or 'should I run ads.' Use this for campaign strategy, audience targeting, bidding, and optimization. For bulk ad creative generation and iteration, see ad-creative. For landing page optimization, see cro.

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。

Plan, smoke-test, execute, checkpoint, publish, audit, and reproduce full ShellBench native benchmark campaigns across OpenClaw, Hermes, Codex, and Claude Code, including model and reasoning identity, pinned harness versions, n=3 qualification through n=6 research runs, S3 trace retention, and task-turn-tool-token-cost exports.

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。

Computes a numeric or categorical answer to a quantitative data-science question by cleaning and analyzing local data files (CSV, Excel, TSV, and scientific formats .npz/.fits/.h5) with pandas, numpy, and scipy. Use whenever a task ships its own dataset (in whatever local directory it provides) and asks you to derive a value via statistical, geospatial, temporal, ratio, percentage, growth-rate, correlation, signal-processing, orbital, or forecasting analysis. Spans domains including archeology (demographics, paleoclimate proxies, radiocarbon dating, historical conflicts); biomedical/bioinformatics (tumor histology, genes, proteins, peptides, genomic variants); environmental (water quality, bacterial/Enterococcus exceedance, rainfall correlations, environmental justice); legal/consumer (fraud, identity theft, consumer complaints by state/metro); wildfire (incidents, causes, suppression costs, acres burned, fatalities, geospatial intersections); and astronomy/heliophysics/space weather (satellite telemetry TLE/Swarm/SP3, indices OMNI/GOES, solar activity, atmospheric density, orbital mechanics, forecasting).

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。

Configure pre-commit hooks and lean GitHub Actions for shift-left quality assurance. Use when adding or auditing CI/CD to maximize local test coverage and minimize CI cost. Skip for Terraform/K8s, deployment pipelines, or non-GitHub CI providers.

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。

Applies the reasoning, principles, and frameworks of Andrew Ng (machine learning pioneer, co-founder of Coursera and DeepLearning.AI, Stanford University, and former Google Brain lead). Use this skill whenever the user is navigating AI application development, agentic workflows, automation strategy, AI-native software engineering, or rapid prototyping. Trigger this skill when discussing career advice in the AI era, evaluating AI regulations, structuring machine learning projects, or deciding how to integrate AI into a business. It emphasizes task-based automation, data-centric ML, and driving the cost of proof-of-concepts to zero.

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 you need to reason like John D. Rockefeller, founder of Standard Oil and American oil industrialist. Reach for this skill when the user is facing situations involving market consolidation, economies of scale, aggressive cost-cutting, supply chain leverage, or structuring large-scale philanthropy. It is highly applicable for questions about eliminating operational waste, dealing with fierce competition, negotiating from a position of immense scale, or building self-sustaining charitable foundations. Trigger this skill for topics like monopolies, ruthless efficiency, corporate PR crises, and strategic acquisitions, even if the user doesn't explicitly name Rockefeller.

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。

Suede-affiliated marketing ideation using a structured tactic library scored for stage, audience fit, evidence, capacity, cost, and risk. Use when the user is stuck, wants options, or needs a shortlist of growth tactics before committing to a plan. NOT FOR: a comprehensive roadmap (use suede-marketing-plan), channel execution (use the relevant public Suede skill), or unattended recurring workflows (use suede-marketing-loops).

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。

Delegate a coding task to Mistral Vibe and supervise the result via git diff. Trigger: /vibe <instruction>. Claude orchestrates, Vibe codes. Also handles /vibe-report [--since N] [--project NAME] [--fails] — token/cost/failure report.

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。

Selecting MPC prediction horizon and cost matrices for web handling.

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。

CRE Development and Construction suite - 8 specialist skills for U.S. site/entitlement screening, budget and yield-on-cost, construction loan sizing, GC contracts, draw review, schedule risk, lease-up pro forma, and IC memo writing.

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。

Identify and challenge implicit assumptions in plans, proposals, and technical decisions. Use when strategic-cto-mentor needs to surface hidden assumptions and wishful thinking before they become costly mistakes.

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 touching Unity per-frame code, spawning, physics queries, UI updates or rendering setup - profiling with numbers, zero-GC hot paths (caching, NonAlloc queries, no LINQ/closures/boxing, TMP SetText), ObjectPool, allocation tests, Burst/Jobs for bulk math, and rendering/physics settings that cost frames.

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 stakeholder sends a request - route it to backlog tasks, an analiz task, or a focused question, decide ask-vs-assume with a Definition of Ready, and ask only what a wrong guess would actually 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。

Expert code reviewer. Analyze PR changes for correctness, security, performance, and quality. Returns findings as JSON. CRITICAL: this skill is costly, don't use it unless user explicitly requested to use 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。

Orchestrate a multi-model code review: spawn 3 review subagents, merge findings. In PR mode, posts GitHub PR comments with reactions. In local mode, outputs findings directly. CRITICAL: this skill is costly, don't use it unless user explicitly requested to use 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。

Comprehensive code review using parallel specialized subagents. If a PR URL is provided, fetches PR details and can post comments. If no PR is provided, reviews the diff between the current branch and its base branch plus any uncommitted changes. CRITICAL: this skill is costly, don't use it unless user explicitly requested to use 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。

This skill should be used when the user needs to consume the Pier Cloud (Lighthouse) API for cloud cost management — including JWT authentication, listing contexts, workspaces, workspace groups, and FinOps data views. Trigger whenever there is a need to integrate, automate, or debug calls to the Pier Cloud platform via Python, Node.js, or cURL.

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。

用户在寻找低成本杠杆替代方案，或分析"先收钱后提供服务"的商业模式的财务优势时。 语言信号:"有没有低成本的资金来源"/"预付款模式有什么好处"/"保险公司的商业模式"/"如何用别人的钱投资" 不适用于:不需要融资/杠杆分析的纯经营决策。

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。

Onboarding-and-switching playbook for SMB Product-Builder products. Defines the first-run experience that turns a prospect leaving an incumbent (ServiceTitan/Toast/Mindbody/Shopify/QuickBooks) into an activated user — import-first onboarding, the activation milestone, sample-data fallback, and the time-to-first-value target. Applied by migration-import-engineer and architect/pm so onboarding is designed as a funnel, not an afterthought. Our whole wedge is "low switching cost"; this skill makes that real on day one.

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。

6-pillar architecture review framework. Adapted from AWS Well-Architected for use by great_cto's architect agent on every non-nano ARCH document. Forces explicit answers across operational excellence, security, reliability, performance, cost, and sustainability — not just feature design.

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。

Identify risks before building. Flag third-party dependencies, API limits, and cost traps.

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。