「ema」の検索結果

Use when a task needs the judgment of an Electrical and Electronics Drafter — sizing a conductor and conduit for a panel or feeder circuit against NEC ampacity and fill tables, building a schematic/elementary diagram or one-line diagram on IEEE 315/ANSI Y32.2 symbols, cross-referencing wire numbers between a schematic and a panel wiring diagram, sizing a PCB trace against IPC-2221 current tables, or QC-checking an electrical drawing set before issuance.

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Transform reference photographs and visually dense images into sparse, recognizable, high-saturation flat-vector-style illustrations through semantic compression rather than literal tracing. Use when the user asks for photo-to-flat illustration, photo-to-vector-style redraw, 照片转扁平插画, 无渐变高饱和插画, iconification, visual simplification, composition-preserving abstraction, a consistent minimal illustration set, or revisions that remove gradients, glow, texture, blur, clutter, text, logos, numbers, or UI. Default to human-perceived semantic complexity 6 out of 10 or lower, fixed-HSB solid fills, crisp boundaries, and no gradients or light-halo effects.

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Analyze and consolidate Flyway SQL migrations into clean, domain-grouped CREATE TABLE migrations for pre-production projects. Use when consolidating database migrations, refactoring Flyway schemas, simplifying migration history, grouping tables by domain, or when user mentions "consolidate migrations", "merge migrations", "clean up Flyway", "refactor schema", "baseline migrations".

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Analyzes git commit history and generates professional changelogs with semantic versioning, conventional commit support, and multiple output formats (Keep a Changelog, Conventional, GitHub). Use when editing CHANGELOG.md, CHANGELOG.txt, or HISTORY.md files, preparing release notes, creating releases, bumping versions, updating changelog, documenting changes, writing release notes, tracking changes, version bump, tag release, or when user mentions "changelog", "release notes", "version history", "release", "semantic versioning", or "conventional commits".

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。

Local SEO audit covering NAP consistency, local schema markup, Google Business Profile signals, local content, citations, review signals, and mobile optimization. No MCP required — fetches pages via WebFetch. Use when user says "local SEO", "Google Business Profile", "GBP", "NAP consistency", "local citations", "local schema", "local pack", "map pack".

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。

KiCad schematic, PCB, Gerber, and PDF schematic analysis. Load the canonical Circuit Weaver skill from `skills/kicad/SKILL.md`.

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Outbound SDR (Sales Development Representative) operating system that runs the full top-of-funnel motion across HubSpot (CRM, engagement, and source of truth) and Exa (web research + signals). Use this skill WHENEVER the user is doing outbound sales development, building target/prospect lists, defining or refining an ICP, enriching leads, researching accounts or people before outreach, writing cold emails or multi-touch sequences, qualifying or scoring leads, logging activity to CRM, handing meetings off to AEs, or reporting on pipeline. Trigger it even when the user only says things like "find me 50 leads", "research this account", "write a cold email to this person", "score these leads", "log this in HubSpot", or "build a sequence"; these are all SDR tasks this skill governs. Do not wait for the user to say "SDR" or "prospecting" explicitly.

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Analyze energy load forecasting systems including demand prediction models (ARIMA, Prophet, LSTM), weather API integration, peak shaving strategies, demand response program optimization, renewable intermittency handling, net load duck curve management.

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Audit demand forecasting models and inventory optimization logic -- forecast accuracy (MAPE, bias), safety stock calculations, reorder point strategies (EOQ, ROP, min/max), ABC/XYZ classification, demand signal pipelines, and multi-location network optimization..

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Analyzes apparel demand prediction systems for trend forecasting, size curve optimization, color and style analytics, sell-through rate tracking, and markdown optimization following CPFR collaborative planning and GTIN product identification standards..

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Plan a webinar end-to-end using April Dunford's Obviously Awesome positioning framework to find the topic angle that makes the webinar obviously valuable to the right audience. Produces topic positioning, abstract, speaker brief, registration page, promotion sequence, day-of run-of-show, and post-webinar follow-up. Use when the user asks to plan a webinar, virtual event, online workshop, "we need a webinar on X", host a webinar, online masterclass, or any live virtual event with promotion and follow-up. Reads ICP, services, and brand voice from knowledge/. For the promotion emails, see email-nurture. For the deck, see ppt-maker. For the social promotion plan, see social-calendar.

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Generate weekly or monthly status updates from local PM data. Use this skill when: - It's end of week and you need a status update for leadership or stakeholders - You need a monthly executive summary - You want to draft an email update using data from meetings, tracker tickets, and decisions - The user says "weekly update", "status report", "what happened this week?", "weekly summary" - The user says "Friday update", "send status email", "EOW update" Pulls from work logs, meetings, ticket tracker, and decisions — no manual input needed.

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Build interactive "living workflow" flowcharts in the visual style of https://statuesque-starship-49757d.netlify.app/revenue-engine - vanilla HTML/CSS/JS files with a horizontal step bar, a vertical trunk that grows per step, tool-to-tool columns with animated payload pills between brand-marked tool nodes, alternating left/right step descriptions, and per-step outputs. Use whenever the user says "build a flowchart", "interactive flowchart", "living workflow", "revenue engine flowchart", "demand gen flowchart", "GTM workflow diagram", "process diagram with animations", "Nebor-style flowchart", or asks to recreate the workflow visual from the Nebor site. Always asks which flowchart to build (Revenue Engine / Demand Gen / CRM & RevOps / Custom) and waits for explicit approval of the step + tool + edge table before generating any files.

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Parse natural-language quantities, units, dates, and ranges ("5'11\"", "1.5 cups", "72 in to cm", "three days ago", "between 5 and 10 kg", "it's hot") into canonical, validated values with issue codes and spans — and humanize them back. Use when a form input, LLM tool schema, MCP handler, or import pipeline takes free-text measurements/units/dates. Covers Standard Schema fields (quantityField/dateField/lingoObject) for the AI SDK and MCP, the headless <lingo-input>, unit conversion, and format/humanize round-trips. Zero-dependency TypeScript, deterministic.

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。

Post-writing SEO validation with pass/fail checklist covering title tag length and keyword placement, meta description quality, heading hierarchy and keyword density, internal/external link audit with anchor text analysis, canonical URL verification, Open Graph meta tags (og:title, og:description, og:image), Twitter Card validation, structured data presence and validity, URL structure optimization, and image alt text presence. Produces prioritized fix list with specific recommendations. Use for ONE finished post when the user says "seo check", "validate seo", "on-page seo", "title tag check", "link audit". Not for a whole-site audit (blog-audit, claude-seo), AI-citation scoring (blog-geo), schema generation (blog-schema), or the delivery gates (blog_preflight.py).

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。

Suggest tags and categories for a blog post from its content, audit a site's tag and category health, and, only after the user approves a shown plan, sync tags and categories to WordPress, Shopify, Ghost, Strapi, or Sanity. suggest and audit are read-only; sync is dry-run by default and never deletes, merges, or edits post content. Use when the user says "tag suggestions", "taxonomy audit", "sync tags", "WordPress tags", "Shopify tags". Not for keyword research (blog-brief) or schema markup (blog-schema).

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 image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says "generate image", "OG image", "social preview", "hero image", "blog image", "product photo", "infographic", "seo image", "create visual", "image-gen", "favicon", "schema image", "pinterest pin", "generate visual", "banner", or "thumbnail".

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。

Detect, validate, or generate Schema.org JSON-LD for a supplied page or entity. Use only when structured data or rich-result markup is requested.

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。

Audit YouTube Ads campaign setup, video and Demand Gen inventory, Shorts, in-stream, CTV, creative, audiences, brand safety, bidding, and measurement. Use for YouTube Ads, video ads, pre-roll, bumper ads, skippable in-stream, Shorts ads, Demand Gen, VAC migration, CTV, or YouTube campaign optimization.

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Audit one blog post file for AI-citation readiness (self-contained, sourced passages, entity clarity, structure, crawler access) and score it with an internal 0-100 heuristic plus per-surface notes for AI Overviews, AI Mode, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Use when the user says "geo", "aeo", "ai citation", "citation audit", "chatgpt citation". Not for a site-wide audit, live AI-visibility tracking, or schema generation (use claude-seo seo-geo, blog-audit, blog-schema), and not a promise of citations.

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Audit Google Ads measurement, Search, Shopping, Performance Max, Demand Gen, YouTube-linked inventory, keywords and search terms, negative-keyword generation or review, creative assets, bidding, budgets, settings, and policy. Use for Google Ads, AdWords, Search campaigns, search terms reports, broad negatives, Shopping, Performance Max, PMax, Demand Gen, GAQL, Google conversion tracking, or Google campaign optimization.

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Use when the user provides a plot summary, scene idea, character relationship, emotional beat, or short video concept and wants a cinematic AI video prompt. First diagnose the story, then rewrite it into a model-ready prompt for Kling, Seedance, Veo, Sora, Runway, Jimeng, or general AI video models.

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Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.

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。

Ultra-compressed code review comments. Cuts noise from PR feedback while preserving the actionable signal. Each comment is one line: location, problem, fix. Use when user says "review this PR", "code review", "review the diff", "/review", or invokes /caveman-review. Auto-triggers when reviewing pull requests.

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。