OneWave AI

Merges, appends, joins, and deduplicates multiple CSV, TSV, and Excel files (including multi-sheet workbooks) with pandas - mapping mismatched column names to one schema, normalizing keys, resolving conflicting values, tracking which file each row came from, and verifying the row math. Use when the user wants to combine spreadsheets or exports, stack monthly files, consolidate contact or lead lists, VLOOKUP-style join two sheets on an ID or email, or dedupe records across sources, even if they only say "put these together" or "clean up these lists into one".

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Designs and builds ETL/ELT data pipelines. Takes data sources, destination, transformation requirements. Generates pipeline code (Python/SQL), scheduling config, error handling, monitoring setup, and data quality checks. Outputs data-pipeline-spec.md + implementation files.

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。

Migrates databases between providers (Postgres, MySQL, Supabase, PlanetScale, MongoDB). Reads source schema, generates migration scripts, handles data type mapping, foreign keys, indexes, triggers, stored procedures. Validates migration with row counts and checksums. Generates migration-plan.md with step-by-step execution guide, rollback procedures, estimated downtime.

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Analyzes a deal in progress and generates a comprehensive closing strategy. Researches the target company, maps the buying committee, builds objection responses, creates competitive positioning, and outputs a tactical deal-playbook.md with next-best-actions and a mutual close plan.

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Score deal velocity based on email response times, meeting frequency, and stakeholder engagement. Predict which deals will close vs stall.

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。

Structured deal assessment using MEDDIC, BANT. Risk scoring, required evidence by stage, red flag detection, coaching points.

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。

Spin up 2-3 expert personas to debate any topic from different angles. Structure: Opening statements, rebuttals, cross-examination, closing arguments.

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。

Audit npm dependencies for security vulnerabilities, outdated packages, and unused dependencies. Use when checking for security issues, updating packages, or cleaning up dependencies.

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。

Fixes broken decks/PDFs exported from Claude's "Design" feature (or similar AI deck generators) — cut-off or clipped text, wrong/substituted fonts, and corrupted .pptx package structure that shows up only once you export to PDF, not while looking at it in the app. Use this skill whenever the user uploads a zip, .pptx, or .pdf exported from Claude Design (or mentions "Design" export, an AI-generated deck, or a generated slide deck/PDF) AND reports it looking broken, wrong, cut off, garbled, or different from the original when opened, printed, or converted to PDF — even if they don't use the word "repair" or name the specific defect. Also trigger for general "my exported PDF/deck is broken, help fix it" requests when the file was clearly produced by an AI design/deck tool rather than hand-authored. Produces both a repaired, still-editable .pptx and a clean PDF, plus a report of exactly what was wrong and what changed.

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 Docker containers, fix Dockerfile issues, optimize images, and troubleshoot docker-compose. Use when having Docker problems, container issues, or optimizing Docker builds.

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 professional email templates for various business scenarios including sales outreach, customer support, internal communications, follow-ups, and apologies. Creates personalized, tone-appropriate templates with subject lines and formatting. Use when users need to write business emails, cold outreach, or professional communications.

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。

Set up environment variables, .env files, and configuration management. Use when configuring environment variables, creating .env files, or managing app 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。

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。

Create timelines for house down payment, retirement, college fund. Monthly savings targets, investment strategies, milestone 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。

Extract and analyze data from invoices, receipts, bank statements, and financial documents. Categorize expenses, track recurring charges, and generate expense reports. Use when user provides financial PDFs or images.

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Use before writing code against a library, SDK, API, or framework whose current version you are not certain of — especially fast-moving ones. Trigger when an import fails, a method does not exist, a config key is rejected, a deprecation warning appears, or the user says the code was written against an old version.

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 any topic into playable browser games. Types: trivia, matching, word puzzles, adventure games. Uses Phaser.js or Kaboom.js.

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Turn a process walkthrough -- meeting transcript, screen-recording transcript, rough notes, or a folder of scattered how-to docs -- into a clean standard operating procedure: numbered steps, roles, decision points, exceptions, and a consistent template across your whole SOP library.

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Maps the full customer journey from first touch to advocacy. Generates a comprehensive customer-journey.md with all stages, touchpoints, emotions, pain points, opportunities, Mermaid diagrams, and metrics. Use when mapping customer experience, designing onboarding flows, identifying churn risks, or optimizing conversion funnels.

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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。

Aggregate and analyze customer reviews from G2, Capterra, Trustpilot, App Store, and other platforms. Performs sentiment analysis, identifies pain points, extracts feature feedback, generates marketing claims, and compares competitor reviews. Use when users need review analysis, competitive intelligence, or customer feedback insights.

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Designs relational and document database schemas from requirements or an existing app - tables and collections, keys, relationships, constraints, indexes driven by real query patterns, ERDs, and reversible migration scripts - with PostgreSQL (including Supabase) as the default and MySQL, SQLite, and MongoDB supported. Use when the user wants to model data for a new app or feature, review or fix an existing schema, choose keys or indexes, plan multi-tenancy, normalize or denormalize, or write CREATE TABLE statements or migrations, even if they just describe their app and ask "how should I store this". For moving data between database providers, use database-migrator.

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。

Install a complete design-token theme into any project in one pass -- pulls a style from the Open Agent Stack design-styles collection (aurora-mesh, cirrus, liquid-glass, mono-brutalist, neo-terminal, sand-terra, tidal) or a local tokens.json, wires it into Tailwind/CSS, and repaints existing components to match.

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Create design systems with tokens, components, and documentation. Use when building design systems, creating component libraries, or establishing design tokens.

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。