Universal Adobe application automation via ExtendScript bridge. Supports Photoshop, Illustrator, InDesign, Premiere Pro, and After Effects.
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데이터 분석, 머신러닝, LLM 앱, 프롬프트 설계 (9.2천건)
Universal Adobe application automation via ExtendScript bridge. Supports Photoshop, Illustrator, InDesign, Premiere Pro, and After Effects.
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Generate Architecture Decision Records with AI. Use when documenting technical decisions.
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Run natural-language data query workflows for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads reports.
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Implement 10 advanced AI agent node types for any DSL/runtime system — plan compiler, code interpreter, critique loops, intelligent routing, multi-agent ensemble, persistent memory, external API tools, iterative loops, data transforms, and parallel execution. Use this skill whenever the user wants to add agent capabilities to a workflow engine, build an AI orchestration framework, implement Karpathy-style AI upgrades, add new node types to a DSL runtime, or create autonomous agent pipelines. Also trigger when the user mentions AetherLang, flow engines, node types, agent frameworks, or wants to upgrade their AI system with capabilities like self-programming, reflection, routing, ensemble, memory, or tool use.
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Advanced calendar skill with natural language processing, automatic reminders, and multi-channel notifications
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Adversarial implementation review based on Block's g3 dialectical autocoding research. Use when validating implementation completeness against requirements with fresh objectivity.
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Applies rigorous adversarial analysis to generate, critique, fix, and consolidate solutions for any problem (technical or non-technical). Use when facing complex problems requiring thorough analysis, multiple solution approaches, and validation of proposed fixes before implementation.
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Run the Advisory Council — a multi-perspective market analysis that spawns 5 AI advisors (The Skeptic, The Macro Bull, The Risk Manager, The Technical Analyst, The Contrarian) powered by MiniMax M2...
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Aegis Intel Stack: pre/post execution micro-skills + manifest/delta re-buy triggers
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Search, score, and compare flights with jetlag impact analysis.
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Prompt-injection and data-exfiltration screening for untrusted text. Use before summarizing web/email/social content, before replying, and especially before writing anything to memory. Provides a safe memory append workflow (scan → lint → accept or quarantine).
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Answer Engine Optimization — get AI assistants to recommend your brand. Run AEO audits, build Answer Intent Maps, track AI recommendation positions, and maintain a 7-layer AEO infrastructure for any brand or product category.
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Analyze what search queries Gemini uses when answering a prompt, by running it multiple times with Google Search grounding and reporting frequency distribution. Use when investigating AEO query patterns, understanding how AI models search the web for a topic, or studying the probabilistic nature of AI-triggered search queries.
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Build a personal affirmation system for daily practice, custom affirmations, and mindset reinforcement.
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Automate AR workflows: aging analysis, collection prioritization, payment follow-ups, cash application, and bad debt forecasting.
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Track AI visibility — measure whether a brand is mentioned and cited by AI assistants (Gemini, ChatGPT, Perplexity) for target prompts. Runs scans, tracks mention/citation rates over time, detects trends, and identifies opportunities. Uses Gemini API free tier (with grounding) as primary method, web search as fallback. Use when a user wants to: check if AI models mention their brand, track AI citation changes over time, measure AEO content effectiveness, monitor competitor AI visibility, or audit their brand's presence in AI-generated answers. Pairs with aeo-prompt-research-free (identifies prompts) and aeo-content-free (creates/refreshes content). This skill closes the loop by measuring results.
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Manage Google Ads & Meta (Facebook) Ads from your AI coding tool. 99 MCP tools for auditing, creating, and optimizing ad accounts using natural language.
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Implements the Active Learning Protocol (R3). Allows the agent to programmatically internalize lessons into MEMORY.md and generate structured "ask for help" requests.
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Your bookmarks are a graveyard. This brings them back to life.
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🛡️ Query AdGuard Home instances for DNS statistics, blocked domains, and client activity 🛡️ 查询 AdGuard Home 实例的 DNS 统计、拦截域名和客户端活动
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AI-powered Reddit seeding agent for founders. Analyzes a product spec, maps relevant subreddits, finds real threads where target users need help, drafts personalized replies and DMs, and posts approved outreach via Reddit API. Use when someone wants to find and engage their first users on Reddit, seed a product launch, or do community-led growth without a budget.
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Add a new OpenClaw Agent, automatically configure openclaw.json, create workspace, copy auth and skills.
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Adaptive testing engine with IRT/CAT, AI question generation, and personalized learning recommendations
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Prepare for the ACT with adaptive practice, score tracking, weak area analysis, and college targeting.
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