家系图(Genogram)工作:识别与反思家庭关系模式。跨世代视角、家系图符号、模式识别以及家庭历史中的资源。
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。
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家系图(Genogram)工作:识别与反思家庭关系模式。跨世代视角、家系图符号、模式识别以及家庭历史中的资源。
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。
ジェノグラム(家族関係図)ワーク:家族の関係性パターンの把握とリフレクション。多世代的視点、ジェノグラム記号、パターン認識、家族史におけるリソース。
Работа с генограммой: Распознавание и осмысление паттернов семейных отношений. Межпоколенческая перспектива, символы генограммы, выявление паттернов и ресурсы в истории семьи.
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 creativity methods for idea generation: SCAMPER, Six Thinking Hats, Mind Mapping, Reverse Brainstorming, TRIZ, and Rapid Ideation.
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。
Read Figma files, component libraries, styles, comments, and export rendered assets (PNG / SVG / JPG / PDF) via Figma's REST API. Use when the user needs programmatic access to design files, to pull node data into code generation, or to export assets without opening the Figma desktop app.
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。
Discover and execute specialized skills from a curated marketplace catalog on GitHub, fetched on-demand and run ephemerally (no permanent installation). The catalog covers a broad and growing range — document generation (PDF/Word/Excel/PowerPoint), visual design, presentations, web app testing, animated GIFs, dev tooling (MCP scaffolding, frontend components), creative outputs (algorithmic art), technical documentation lookup (library/API/framework references), and more. Consult this skill whenever the user asks for a capability that could plausibly be covered by a community skill — the catalog is the source of truth, not this description.
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 working with TBQ3 or TB language code, including strategy generation, syntax questions, trading functions, Bar strategies, event-driven trading, Plot drawing, examples, or TB-specific code review.
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。
Resolve complex or high-impact problems when the cause, solution path, requirements, or proof boundary is genuinely uncertain. Use when work needs evidence-led diagnosis, consequential design or implementation, or a completion audit; do not trigger merely because work has multiple steps, or for simple facts, fully specified routine changes, or pure creative generation.
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。
Submission-grade remote-sensing Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, map-led composites, remote-sensing image plates, sensor/product workflow figures, validation/error/uncertainty panels, or journal-ready SVG/PDF/TIFF outputs, especially for Nature-family, Remote Sensing of Environment, ISPRS, IEEE TGRS, or other high-impact venues. Before plotting, define the figure's conclusion, evidence logic, export needs, and review risks. If the user has not chosen Python or R, ask "Python or R?" and stop. Use only the selected backend for figure generation, previewing, exporting, and QA. Supports matplotlib/seaborn and ggplot2/patchwork/ComplexHeatmap. Not for dashboards or Illustrator/Figma-first infographics. Also trigger on general academic-writing figure needs even without the word "Nature", such as making figures/plots for a paper, scientific/academic plotting, data visualization for a manuscript, and Chinese phrasings like 遥感论文配图、学术写作配图、科研绘图、科研作图、地图出图、论文图表、可视化.
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。
Guide users through a 6-phase pipeline to plan a complete project — from brainstorming through project metadata to blueprint, starter-file generation, and per-milestone micro-task design with inline pedagogical choreography.
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。
Per-toolkit hardening audit loop for NV oOS Pro tools. Systematically scans each addons/pro/includes/tools/<toolkit> (and its plugins/nvoos-content-graph-pro mirror) for the four recurring production failure classes — unguarded shell calls that fatal on exec-disabled hosts, calls to nonexistent client methods, string-assuming parsing of provider responses that may be arrays, and provider enum/service mismatches — then fixes, tests (Docker PHPUnit), and validates (phpcs both standards) before moving to the next toolkit. Use when asked to audit a toolkit, review the X tools for similar issues, do the same for the other toolkits, or continue the toolkit audit loop. The first case study (document-generation) found 3 fatal bugs + 1 broken regex.
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 and process videos using AI generation (Runway, Pika, Replicate, Sora, Veo) and FFmpeg processing. MCP bridge provides frame extraction (extract_video_frames); the Design Stack media worker handles full FFmpeg processing (resize, trim, compress, GIF, format conversion). Covers social-media-optimized video output. Use when generating AI videos, extracting frames/thumbnails, transcoding videos, creating GIFs from clips, or preparing video for social platforms.
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 documents — PDF, Word (.docx), Excel (.xlsx), and invoices — from natural language descriptions or structured data. Covers AI-powered and simple document creation, HTML-to-PDF conversion, PDF extraction/OCR, merging, watermarking, and data export. Use when you need to create campaign decks, reports, proposals, invoices, spreadsheets, or any shareable document — especially for Step 7 monthly presentations, campaign briefs, and analytics reports.
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。
Produces complete brand identity systems — logos (AI-generated via Gemini), color palettes, typography, imagery guidelines, and WordPress-based brand asset libraries. Use when the task asks for "brand kit", "logo design", "brand guidelines", "brand identity", "visual identity", "brand colors", or "brand assets". Covers AI-assisted logo generation, asset sizing, brand archetypes, and WordPress brand page structure.
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。
Define product photography standards for e-commerce — shot types, composition, lighting, consistency rules, AI-assisted generation, and platform-specific variants. Covers the full product imagery pipeline from concept to published asset. Use when you need to plan product photoshoots, create photography briefs, set image standards for an e-commerce catalog, generate AI product lifestyle shots, or ensure visual consistency across hundreds of 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。
Manage the NV oOS Pro Toolkit Project Management system — projects, tasks, events, sprints, task plans, task templates, and PM workflow rules. Covers complete project lifecycle (planning → active → completed), task tracking with priorities and effort estimation, sprint planning, event scheduling with attendees, and template-driven task plan generation. Use when managing projects, creating or tracking tasks, planning sprints, scheduling events, generating task plans from templates, assigning work to team members, or troubleshooting project management data.
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 or audit an `/llms.txt` file at the site root that makes the site legible to LLMs and AI answer engines at inference time, following the llms.txt proposal (Jeremy Howard, 2024). Use this skill whenever the user asks to "build llms.txt", "create llms.txt", "generate llms.txt", "audit llms.txt", "make my site LLM-friendly", "expose the site to AI assistants", "let ChatGPT / Claude / Perplexity cite my site", "add an AI assistants index", or asks about `.md` companion pages for LLM consumption. Output is a valid `llms.txt` file (or an audit) plus optional `.md` companion page generation for top pages.
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。
Scrape leads from multiple platforms using Apify Actors.
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。
Automate Apollo.io lead generation -- search organizations, discover contacts, enrich prospect data, manage contact stages, and build targeted outreach lists -- using natural language through the Comp
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 and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service.
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 custom AI subagents with proper plugin structure, persona generation, and companion routing skills.
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。
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use f
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。
When the user wants to create, plan, or optimize a lead magnet for email capture or lead generation. Also use when the user mentions "lead magnet," "gated content," "content upgrade," "downloadable," "ebook," "cheat sheet," "checklist," "template download," "opt-in," "freebie," "PDF download," "resource library," "content offer," "email capture content," "Notion template," "spreadsheet template," or "what should I give away for emails." Use this for planning what to create and how to distribute it. For interactive tools as lead magnets, see free-tools. For writing the actual content, see copywriting. For the email sequence after capture, see emails.
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。
When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," "free resource," "ROI calculator," "grader tool," "audit tool," "should I build a free tool," or "tools for lead gen." Use this whenever someone wants to build something useful and give it away to attract leads or earn links. For downloadable content lead magnets (ebooks, checklists, templates), see lead-magnets.
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。