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概要と使いどころ
Skill for generating 1C:Enterprise (BSL) code with mandatory validation through MCP tools to prevent hallucinations. Use when generating, editing, or validating 1C BSL code, working with 1C metadata, or answering questions about 1C platform API.
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Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
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Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
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AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
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Automate Box operations including file upload/download, content search, folder management, collaboration, metadata queries, and sign requests through Composio's Box toolkit.
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Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.
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Provide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations.
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Geracao de imagens humanizadas via Google AI Studio (Gemini). Fotos realistas estilo influencer ou educacional com iluminacao natural e imperfeicoes sutis.
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Используйте, когда нужно проверить readiness runtime profile, adapter config и базовые зависимости проекта.
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Используйте, когда нужно сравнить source tree или выполнить adapter-aware diff через repo-owned entrypoint.
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Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
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Generate a personalized SOUL.md through a warm, adaptive onboarding conversation. Trigger when the user wants to create, set up, or initialize their AI partner's identity — e.g., "create my SOUL.md", "bootstrap my agent", "set up my AI partner", "define who you are", "let's do onboarding", "personalize this AI", "make you mine", or when a SOUL.md is missing. Also trigger for updates: "update my SOUL.md", "change my AI's personality", "tweak the soul".
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。
Spaced-repetition flashcard system. Create cards from facts or text, chat with flashcards using free-text answers graded by the agent, generate quizzes from YouTube transcripts, review due cards with adaptive scheduling, and export/import decks as CSV.
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Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.
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Songwriting craft, AI music generation prompts (Suno focus), parody/adaptation techniques, phonetic tricks, and lessons learned. These are tools and ideas, not rules. Break any of them when the art calls for it.
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Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.
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Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
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Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
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Translates Chinese resumes and business texts into professional English, and adapts personal experiences into compelling MBA application essays with strict adherence to prompts and word counts.
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Drafts formal explanation letters for Canadian Study Permit applications by structuring the argument around program attractiveness, background relevance, choice rationale, and family benefits.
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Creates interactive educational MicroSims using the best-matched JavaScript library (p5.js, Chart.js, Plotly, Mermaid, vis-network, vis-timeline, Leaflet, Venn.js). Analyzes user requirements to route to the appropriate visualization type and generates complete MicroSim packages with HTML, JavaScript, CSS, documentation, and metadata.
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Publish content to X/Twitter, LinkedIn, WeChat Official Account, and Xiaohongshu with one command. Automatically adapts content format for each platform — threads for Twitter, professional articles for LinkedIn, HTML drafts for WeChat, emoji notes for Xiaohongshu. Triggers: publish content, social media, twitter post, linkedin post, wechat article, xiaohongshu note, cross-platform publish, multi-platform
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Turn one ecommerce content core into channel-ready publish packs (X, WeChat, Xiaohongshu, TikTok notes) with platform-specific formatting and CTA adaptation.
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Calculate comprehensive numerology reports using Pythagorean or Chaldean systems. Supports English, Tamil, Telugu, Kannada, and Hindi. Use when a user wants numerology readings, life path numbers, destiny numbers, name analysis, birth date numerology, or lucky number calculations.
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。