「types」の検索結果

This skill should be used when searching for people/leads using the Prospeo Search Person API. It provides the correct API format, filter types, rate limiting patterns, and state-by-state crawling techniques to overcome the 25K result limit. Use when building lead lists, searching by job title/industry/location, or integrating with Prospeo.

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Framework for running single-variable cold email experiments. Defines experiment types (list-only, copy-only, combined), confidence weighting, minimum sample sizes, and success criteria. Use when the user wants to improve a campaign, test a new list vs old one, or compare copy variants. Prevents the

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。

Coupon and promotion planning — coupon types, stacking rules, deal timing, redemption optimization

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 a large-scale language migration with the six-step process: create the map and the rules, stress-test the rules, translate everything, compile, run it, match behavior. Use when the user wants to migrate, port, or rewrite a codebase from one language to another ("migrate this to Rust", "port our Python CLI to TypeScript", "should we rewrite this in Go?"), or asks for a migration feasibility assessment. Not for incremental JS→TS adoption — that needs no machinery — or single-file conversions.

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 a deliberate sequence of offers (attraction, upsell, downsell, continuity) so a new customer generates enough cash within ~30 days to fund acquiring the next one - Alex Hormozi's client-financed acquisition. Use when customers buy once and never again, when CAC eats all the profit, when you can't afford to advertise profitably, when the business grows but cash shrinks, when you sell one product at one price, when deciding what to sell first or next, or when structuring upsells, downsells, payment plans, trials, and continuity. Covers the 30-day payback rule, attraction/upsell/downsell/continuity offer types, and cash-flow sequencing for validated markets.

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。

Evidence-first development — surround the implementation with an executable spec and a gauntlet of constraints (tests, types, coverage, mutation) so line-by-line review becomes optional. Use when the user explicitly asks for high-assurance or evidence-first work ("reliable", "TDD", "prove it works", "I won't read the code"), or when the change touches high-stakes domains (money, auth, data loss, concurrency, public API). For routine changes where the user just wants normal tests, write good tests directly instead of invoking this loop.

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 and run a full email marketing channel — list building, deliverability, segmentation, newsletter strategy, campaign types, A/B testing, and email design. Use when the user says "email marketing", "email strategy", "email list", "newsletter", "email campaigns", "email list building", "email deliverability", "email open rates", "email segmentation", "email design", "email calendar", "grow my email list", "email marketing plan", "broadcast emails", "email engagement", or wants to use email as a primary owned marketing channel beyond just automated flows.

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, build, and optimize Google Ads campaigns — Search, Shopping, Performance Max, Display, and YouTube — including keyword research, match types, bidding strategy, Quality Score, ad extensions, conversion tracking, and ROAS optimization. Use when the user says "Google Ads", "Google advertising", "Google campaign", "search ads", "Google Shopping", "Performance Max", "PMax", "Google Display", "YouTube ads", "keyword targeting", "Google Ads strategy", "Google Ads optimization", "Google Ads account", "Google Ads not working", "search campaign", "Quality Score", "bidding strategy", "Google conversion tracking", or wants to run or improve paid advertising on Google.

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 asks about camera movements, shot types, or how to describe camera behavior in a Higgsfield prompt. Contains all named camera controls with descriptions, best use cases, and example prompt phrases.

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Write Google Ads copy and build campaign structures. Use when the user asks to create Google Ads, write ad copy for search or display, set up PPC campaigns, optimize Quality Score, choose bidding strategies, or generate responsive search ads. Trigger phrases include "Google Ads", "PPC", "search ads", "display ads", "Performance Max", "ad copy", "headlines and descriptions", "keyword match types", "ad extensions", "Quality Score".

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。

Guides internationalization (i18n) implementation using i18next with TypeScript. Triggered when handling localization, translation files, or multilingual support.

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 economics paper writing assistant synthesizing advice from 50+ top guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Glaeser, Kremer, and other leading economists. USE THIS SKILL whenever the user writes, edits, reviews, rewrites, or structures any economics paper, thesis, job market paper, abstract, introduction, conclusion, results section, literature review, or referee response. Also handles LaTeX formatting, presentations, and paper audits. Covers all paper types (applied, theory, structural, mixed) and all sections.

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, inspect, update, restore, or share Avibe Show Pages for visual explanations, diagrams, reports, or interactive prototypes. Covers the page workspace and its Git history.

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Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video

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 implementing GPT chat, streaming, function calling, embeddings for RAG, images, audio or batch jobs, or troubleshooting 429 rate limits and API or TypeScript errors. Stateless OpenAI patterns that prevent 16 documented errors.

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 ChatGPT apps with MCP servers on Cloudflare Workers. Extend ChatGPT with custom tools and interactive widgets (HTML/JS UI). Use when: developing ChatGPT extensions, implementing MCP servers, or troubleshooting CORS, widget 404s, MIME types, ASSETS binding errors, Next.js integration issues, or edge platform limitations.

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 laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.

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 a TypeScript script via tsx to fetch an HTTP endpoint and stream the response. Use when you need a small Node.js helper for HTTP calls.

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。

Weekly, heavy browser lane, read only toward the world with no exception. Works the surfaces on its own watchlist through one contiguous browser phase, captures one dated observation per real change with a verbatim quote and the exact URL, refuses to report any change against a surface it has no baseline for, and writes one capped weekly page. It types nothing that changes anything, takes no action on LinkedIn ever, sends only where you released the channel, spends only where you released it, and never touches a credential.

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。

Weekly, browser heavy, read only on every screen. Fixes a scoring window that neither double counts nor loses an hour, reads the member's search performance console and analytics property, verifies each range actually applied before reading a figure, reconciles every number against what this Employee published, writes the week's scoreboard and the short rolling state file every other routine reads, and files what it found as cards rather than doing the work itself. It types nothing on any screen, changes no setting, publishes nothing, and never touches a credential.

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。

Scala 3 language-specific patterns with ZIO, Cats Effect, and opaque types

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。

LeanUX backlog management methodology - user story template, story sizing, story states, task types, Definition of Ready/Done, anti-pattern detection and remediation

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。

JTBD workflow classification and routing - ODI two-phase framework, five job types with workflow sequences, baseline type selection, workflow anti-patterns, and common recipes

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。

Domain modeling with algebraic data types, smart constructors, and type-level error 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。