「recommend」の検索結果

Compare and analyze contractor bids. Score proposals, identify scope gaps, and recommend selections.

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 construction resources (labor, materials, equipment) from DDC CWICR database. Calculate resource requirements, productivity metrics, and optimization recommendations.

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。

AI-powered contractor matching and selection for construction projects. Analyze contractor capabilities, past performance, certifications, and project requirements to recommend optimal matches.

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 realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes. Use when user mentions 'synthetic data', 'test data', 'generate data', 'demo dataset', 'Faker', or 'sample data'.

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。

Takes a manual business workflow description and designs the automated version. Maps current steps, handoffs, decision points, and bottlenecks. Designs automated flow with triggers, conditions, actions, and error handling. Outputs workflow-automation.md with before/after Mermaid diagrams, tool recommendations, implementation steps, and time savings estimate.

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。

Technical due diligence for M&A, investment, or acquisition. Reads a target company's codebase and generates a comprehensive tech DD report with architecture assessment, tech debt quantification, scalability analysis, security posture, team capability inference, build system quality, test coverage, deployment maturity, and open source license risks. Outputs tech-dd-report.md formatted like a real investment memo with risk ratings, remediation costs, and go/no-go recommendation.

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。

Base/variable split recommendations, accelerators, decelerators, quota retirement methods, SPIFs, cost of sales tracking.

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。

Review investment portfolios for risk, diversification, fees. Asset allocation recommendations, tax-loss harvesting, rebalancing.

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。

Analyzes current conversation context to recommend the best skills and subagents for the task at hand. Use proactively when unsure which tool, skill, or agent to 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。

Enhanced skill navigator that maps conversation history, recommends multi-skill chains, identifies patterns from past usage, and learns from session outcomes. Goes beyond basic scout with deep context analysis and workflow orchestration.

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。

Predicts client renewal likelihood based on health score signals. Analyzes engagement, support, adoption, satisfaction, billing, stakeholder, and usage data to calculate a weighted Health Score (0-100), classify renewal risk, and generate a prioritized action plan with early warning signals and recommended save plays.

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。

Designs pricing strategies for products and services. Takes product/service, costs, target market, competitors. Analyzes cost-plus, value-based, competitor-based, penetration, premium models. Researches competitor pricing. Generates pricing-strategy.md with recommended model, price points, tier structure, discount policies, annual vs monthly analysis, sensitivity to churn, expansion revenue modeling.

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。

The 100th skill! Your intelligent guide to all 99 other skills. Recommends the perfect skill for any task, creates skill combinations, and helps you discover capabilities you didn't know you had.

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。

Group related keywords into topic clusters. Create content hub architecture recommendations and internal linking strategies.

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。

What-if scenario analyzer for sports. Play-calling recommendations, clock management, substitution patterns, risk/reward calculations.

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。

Identifies upsell and cross-sell opportunities within existing customer accounts. Analyzes product usage, feature gaps, team growth, industry benchmarks, and competitive pressure to surface revenue expansion plays scored by potential, effort, and likelihood. Generates an expansion-playbook.md with account-by-account opportunities, recommended pitch, timing, and approach.

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。

Build a panel of your real buyer personas (from a deep scan of any tools you allow it to connect to) and have them debate any decision you bring — a marketing launch, a price increase, a new product, a positioning change, a feature cut. Returns a structured debate, the strongest objections, and a clear recommendation. Use when you want your actual customers in the room before you commit.

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 matchups, injuries, weather, Vegas lines. Recommend sit/start decisions with confidence levels for NFL, NBA, MLB, NHL, soccer.

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。

Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.

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。

Recommend font combinations for different use cases. Provide Google Fonts alternatives to premium fonts with hierarchy examples.

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。

Assesses how ready a business is for AI adoption across six dimensions. Evaluates data maturity, tech stack, team skills, process documentation, budget, and culture. Generates a comprehensive ai-readiness-report.md with scores, gap analysis, and recommended starting points. Aligned with OneWave AI's audit methodology.

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。

Load tests API endpoints with progressive concurrency. Measures response times, error rates, throughput, and identifies breaking points. Generates a detailed report with latency percentiles, throughput curves, bottleneck analysis, and optimization recommendations.

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。

Generates a comprehensive client health overview across all accounts. Reads CRM data, support tickets, usage metrics, billing, and engagement logs. Calculates health scores, trend direction, and RAG status per client. Outputs a sorted risk report with recommended actions.

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 personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.

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。