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cccskills

「strategies」の検索結果

1,330 件 ・ 関連度順

概要と使いどころ

ComfyUI prompt engineering knowledge covering CLIP text encoding syntax, weight modifiers, model-specific prompting strategies, and best practices

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。

artokun/comfyui-mcp8202026年10月14日 更新

Common ComfyUI errors and fixes. OOM, missing nodes, dtype mismatches, black images, and debugging 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。

artokun/comfyui-mcp8202026年10月14日 更新

When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific 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。

AvdLee/RocketSimApp8062026年10月14日 更新

When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' or 'involuntary churn.' This skill covers voluntary churn (cancel flows, save offers, exit surveys) and involuntary churn (dunning, payment recovery). For post-cancel win-back email sequences, see email-sequence. For in-app upgrade paywalls, see paywall-upgrade-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。

AvdLee/RocketSimApp8062026年10月14日 更新

Use when the user wants to optimize configurable system parameters against a measurable scalar objective, especially for model training, inference, quantitative strategies, reinforcement learning, scientific workflows, or other expensive black-box evaluations where reading the project can improve trial selection.

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。

Optim-Agent/optim-agent7982026年8月15日 更新

Generates offer code distribution strategies and configuration guides for subscription and IAP promotions — including partner campaigns, influencer programs, and email re-engagement. Use when setting up offer codes for distribution.

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。

rshankras/claude-code-apple-skills7962026年7月24日 更新

Generates Custom Product Page metadata templates with screenshot strategies, keyword targeting, and audience-specific messaging for up to 35 page variants. Use when creating targeted App Store pages for different audiences, ad campaigns, or traffic sources.

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。

rshankras/claude-code-apple-skills7962026年7月24日 更新

Generates 15-25+ cold outbound campaign ideas with targeting strategies, AI personalization approaches, and value propositions. Use when planning campaign experiments for a client, given their website or business context.

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。

growthenginenowoslawski/coldoutboundskills7642026年10月6日 更新

Deep Amazon review analysis for competitive intelligence and product improvement. Extract sentiment patterns, recurring complaints, feature requests, and competitive insights from customer feedback. Turn reviews into actionable product development and marketing strategies. Use when the user asks about review analysis, customer feedback, product complaints, sentiment analysis, or what customers think about products.

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。

nexscope-ai/Amazon-Skills7592026年8月26日 更新

Amazon repricing strategy and Buy Box optimization. Competitive pricing analysis, dynamic pricing rules, margin protection strategies, repricing tool selection, and automated pricing workflows. Use when the user asks about Amazon repricing, pricing strategy, Buy Box optimization, competitive pricing, or dynamic pricing.

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。

nexscope-ai/Amazon-Skills7592026年8月26日 更新

Amazon Brand Analytics interpretation and strategic insights for Brand Registry owners. Decode Search Frequency Rank (SFR) data, analyze Market Basket patterns, interpret Item Comparison reports, and extract demographic insights to optimize product strategy and advertising spend. Works with Brand Analytics data from all Amazon marketplaces. Requires Brand Registry access. Use when: (1) analyzing Search Frequency Rank data for keyword opportunities, (2) interpreting Market Basket data for cross-sell and bundling, (3) understanding Item Comparison competitive positioning, (4) extracting customer demographic insights, (5) optimizing product portfolio based on customer behavior, (6) building data-driven advertising 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。

nexscope-ai/Amazon-Skills7592026年8月26日 更新

Seller storefront analysis and competitive intelligence for Amazon. Analyzes seller revenue estimation, product portfolio strategy, growth trajectory, and market positioning. Reverse-engineer successful seller strategies and identify expansion opportunities. Use when the user asks about analyzing sellers, competitor seller analysis, seller revenue estimation, storefront analysis, seller strategy, or learning from successful Amazon sellers.

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。

nexscope-ai/Amazon-Skills7592026年8月26日 更新

Comprehensive Amazon profit analysis and revenue optimization. Revenue waterfall analysis, hidden fee identification, ACoS impact assessment, return cost calculation, and profitability optimization strategies. Use when the user asks about Amazon profit analysis, profitability calculation, fee analysis, margin optimization, or revenue breakdown.

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。

nexscope-ai/Amazon-Skills7592026年8月26日 更新

Amazon competitor monitoring and competitive intelligence for sellers. Track pricing changes, inventory levels, new product launches, review velocity, and advertising patterns for competitor ASINs. Set up monitoring alerts for price drops, stock-outs, and market changes. Works on 12 Amazon marketplaces. No API key required. Use when: (1) monitoring competitor pricing strategies, (2) tracking competitor inventory and stock patterns, (3) detecting new product launches in your category, (4) analyzing competitor review velocity and ratings, (5) identifying market opportunities from competitor gaps, (6) setting up competitive alerts and benchmarks.

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。

nexscope-ai/Amazon-Skills7592026年8月26日 更新

Amazon negative keyword management and optimization. Search term analysis, waste reduction, savings estimation, and automated negative keyword strategies. Use when the user asks about negative keywords, search term analysis, ad waste reduction, or PPC 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。

nexscope-ai/Amazon-Skills7592026年8月26日 更新

Amazon Buy Box strategy and optimization framework. Eligibility factor analysis, competitive pricing strategies, FBA vs FBM impact assessment, seller performance optimization, and Buy Box winning tactics. Use when the user asks about Amazon Buy Box, winning Buy Box, Buy Box eligibility, or Buy Box 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。

nexscope-ai/Amazon-Skills7592026年8月26日 更新

traction

無料

Applies the Bullseye Framework from Traction by Gabriel Weinberg and Justin Mares. Use when choosing growth channels, testing customer acquisition strategies, or deciding where to spend marketing effort. Covers all 19 traction channels with selection methodology, testing protocol, and phase-matched channel advice. Triggers include 'how do we get customers', 'which marketing channel should we use', 'we have a product but no users', 'our growth has stalled', 'should we do content marketing or paid ads', 'how do we test traction channels', 'what channels work at our stage'. NOT for product development (use Lean Startup), not for positioning/messaging (use Obviously Awesome), not for pricing (use Monetizing Innovation), not for enterprise sales methodology (use SPIN Selling).

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。

getagentseal/founder-playbook7512026年10月7日 更新

JPA/Hibernate patterns and common pitfalls (N+1, lazy loading, transactions, queries). Use when user has JPA performance issues, LazyInitializationException, or asks about entity relationships and fetching 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。

decebals/claude-code-java7502026年9月7日 更新

Use when the user asks about Higgsfield Assist (the built-in GPT-5 copilot), how to use the platform's native AI assistant, credit optimization strategies, plan selection, how to get more from fewer credits, or platform efficiency tips.

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。

OSideMedia/higgsfield-ai-prompt-skill7402026年9月27日 更新

Create and publish social media posts for Reddit, Twitter/X, LinkedIn, Instagram, Facebook, and TikTok. Platform-specific formats, character limits, hashtag strategies, hooks, and content repurposing. Can post directly to Reddit and other platforms via API. Trigger phrases: "social media post", "tweet", "LinkedIn post", "Instagram caption", "TikTok script", "social content", "social media copy", "carousel", "thread", "social media strategy", "repurpose content", "hashtag strategy", "post to reddit", "publish on social", "post on reddit", "share on social media".

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。

OpenClaudia/openclaudia-skills7152026年10月11日 更新

Build content strategies, editorial calendars, topic clusters, and content plans. Map content to buyer journey stages and plan distribution. Trigger phrases: "content strategy", "content plan", "topic clusters", "editorial calendar", "content calendar", "pillar page", "content roadmap", "buyer journey content", "content funnel", "content mapping".

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。

OpenClaudia/openclaudia-skills7152026年10月11日 更新

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。

OpenClaudia/openclaudia-skills7152026年10月11日 更新

Reverse-engineer successful affiliate strategies from competitors. Use this skill when the user asks about spying on competitors, researching what other affiliates promote, analyzing competitor affiliate sites, understanding how top affiliates in a niche make money, or says "what programs does X promote", "how does [site] make money", "what affiliate strategy does this site use", "spy on competitor affiliates", "reverse engineer affiliate site", "copy what works in my niche", "who are the top affiliates in X niche", "what content gets traffic in my niche", "competitor affiliate analysis".

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。

Affitor/affiliate-skills7102026年10月13日 更新

Property-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validation

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。

nWave-ai/nWave6172026年9月16日 更新