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Track workouts, stats, progress over time. Identify improvement areas, plateaus, rest/recovery needs, peak performance timing, injury risk.

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。

Builds estimates, quotes, and bids for trades and field-service businesses (HVAC, plumbing, electrical, roofing, landscaping, painting, cleaning, remodeling, general contracting, IT/AV installs). Turns a scope into line items with waste factors, burdened labor, materials, equipment, subs, permits, mobilization, contingency, overhead, profit, and tax, then writes a client-ready xlsx (live formulas) and PDF plus an internal cost sheet, with good/better/best options, add-ons, a payment schedule, exclusions, and assumptions. Use whenever someone asks for a quote, estimate, bid, proposal price, or job price, asks "how much should I charge for this job", wants to check a price or margin on a job, or is confused about markup vs margin. Computes deterministically with a script instead of mental math, because models routinely treat a 30% markup as a 30% margin and drop labor burden, waste, and mobilization.

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。

Manages parent/child agent relationships with task delegation and result aggregation. Supports sequential chains, parallel fans, conditional routing, retry logic, timeout handling, and YAML-based visual workflow definition.

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 complete typographic system -- modular or fluid type scale, line-height and tracking per size, weight roles, and vertical rhythm -- exported as tokens, Tailwind config, and CSS. Pairs with font-pairing-suggester (which picks the fonts; this builds the system they live in).

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。

Answers business questions about the user's own spreadsheet or data export (CSV, TSV, XLSX from a CRM, Shopify, Stripe, QuickBooks, ad platforms, HR or payroll systems) correctly and auditably. Profiles every file first (grain, duplicate keys, embedded Grand Total rows, text-stored numbers, mixed currencies, UTC timestamps, Excel serial dates, hidden rows), states the metric definition used, computes every number in SQL or pandas instead of mental math, checks joins for fan-out, reconciles to a known total, and returns the query, filters, row counts, and rows behind the answer. Use this whenever the user says "analyze this spreadsheet", "how many...", "what's the total in this export", "which customers...", "pivot this", "revenue by month", "top 10", "what's our churn/MRR/AOV", or asks any question about their data, CSV, or Excel file, even a quick one. Also use when they ask to change values in a data file.

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。

Convert long text into Slack-optimized format with emojis, bullets, code blocks, and threading suggestions

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。

Weighted pipeline forecast by probability. Historical accuracy tracking, commit vs best-case scenarios, deal slippage patterns.

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。

CHAIN multiple existing skills into custom multi-step workflows. Programmable skill combinations with automatic handoffs. Create composite skills from building blocks with conditional logic.

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。

Evaluates which SaaS tools can be replaced with AI agents. Takes a list of current SaaS subscriptions with costs, assesses replacement feasibility, estimates build vs buy economics, identifies Claude+MCP alternatives, and generates a comprehensive replacement plan with priority matrix, ROI analysis, implementation timeline, and risk assessment.

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。

Implement proven sales methodologies (MEDDIC, BANT, Sandler, Challenger, SPIN) across your team. Generate framework-specific questions, score deals, train reps, and enforce consistent qualification. Use when implementing or optimizing sales processes.

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 responsive layouts with CSS Grid, Flexbox, and container queries. Use when creating responsive designs, fixing layout issues, or building mobile-first layouts.

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。

Calculate comprehensive ROI for AI implementation projects. Takes current costs, manual process time, team size, and hourly rates. Generates detailed roi-analysis.md with executive summary, cost-benefit tables, sensitivity analysis, break-even timeline, and comparison scenarios. Use when evaluating AI investments, building business cases, or justifying automation spend.

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。

Debug regex patterns with visual breakdowns, plain English explanations, test case generation, and flavor conversion. Use when user needs help with regular expressions or pattern matching.

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。

Multi-dimensional rep evaluation: activity, conversion, velocity, deal size. Peer benchmarking and coaching priority identification.

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 comprehensive operational runbooks for any system or process. Reads codebase, infrastructure config, and deployment scripts to produce structured runbook.md files formatted for on-call engineers. Use when you need operations documentation, incident response guides, deployment procedures, or disaster recovery plans.

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 player and team scouting reports. Strengths, weaknesses, tendencies, film breakdown, matchup advantages.

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。

Create multiple choice, true/false, fill-in-blank, matching quizzes. Auto-generate plausible distractors. Instant grading with explanations.

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。

Top-down vs bottom-up quota models. Historical attainment, market growth assumptions, ramp periods, territory complexity.

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。

Aggregate prospect intelligence from multiple sources including news, social media, company websites, and financial 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。

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。

Market salary research, accomplishment quantification, negotiation scripts, total compensation analysis, timing strategy.

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。