データ・AIのスキル

Pointer to the upstream skill for behavioural guidelines that reduce common LLM coding mistakes, installed from upstream.

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。

Train and optimize AI agents using Microsoft's Agent Lightning framework with reinforcement learning. Use when setting up agent training, instrumenting agents with tracing, configuring LightningStore, implementing reward functions, or optimizing prompts with RL/APO algorithms.

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 building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. Treats prompts as code and validates every model output.

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 the user sends or generates an image, screenshot, video, audio or file and wants it saved, or asks to find past media (that diagram, the mockup from last week). Ingests and searches with local ChromaDB embeddings.

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 for architecture, current-state, process, data-flow, medallion, or DP diagrams, including redrawing .drawio and Mermaid sources. Creates branded flowchart, sequence, ER, org, timeline, and chart visuals as standalone HTML/SVG/PNG.

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 this machine's local LLM setup (LM Studio + mlx-dspark) -- checking status, changing context window, diagnosing a reasoning hang or dead request, understanding RAM/speed tradeoffs, or wiring a new script to the local inference endpoint.

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专业微信公众号文章助手，支持四个独立且可组合模式：article 写正文；image-prompts 从文章生成版本化、provider-neutral 的图片提示词 manifest 与稳定占位符，但不调用生图；layout 把文章和 manifest 确定性转换为微信安全的内联 HTML；full-pipeline 串联正文、提示词/占位符和排版。用户提到公众号、微信文章、推文、配图提示词、图片 manifest、公众号排版、内联 HTML 或完整图文流水线时触发。支持企业官号、个人技术博客、活动回顾和产品评测。不用于：带引用的研究报告（用 deep-research）、PPT/组图（用 deck-studio）、英文文章、仅润色一小段。永不自动发布，永不把提示词或占位符声称为已生成图片。

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。

Build and maintain a structured LLM-generated wiki for any codebase. Use when the user asks to analyze/understand/document a codebase, build a code wiki, create project documentation from source, or update an existing .llm-wiki. Triggers on phrases like "build wiki", "analyze this codebase", "document this project", "update wiki", "llm-wiki", or when entering an unfamiliar project that has no .llm-wiki yet.

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。

Live affiliate program data from openaffiliate.dev. Search programs, compare commissions, check cookie days, find top performers. Use when researching affiliate programs, comparing options, or checking program details. Persistent daemon with cache — first call starts server (~2s), subsequent calls ~100ms.

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。

Replace with when the AI should activate this skill. Be pushy — cover multiple phrasings so the AI activates for a wide range of user prompts.

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 original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: "create original data", "proprietary data", "survey design", "benchmark study", "original research", "data-driven content", "create a survey", "industry benchmark", "aggregated data", "unique data", "first-party data", "data moat", "generate research data", "create a study", "original statistics", "data nobody else has", "competitive data advantage".

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。

Analyze site's internal link structure and optimize for hub-and-spoke SEO architecture. Triggers on: "optimize internal links", "internal linking", "link structure", "hub and spoke links", "orphan pages", "link equity", "internal link audit", "fix my internal links", "link architecture", "site structure optimization", "internal linking strategy", "link flow", "improve site structure", "find orphan pages", "maximize link equity", "internal link map".

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。

Find the right Affitor skill for your goal. Triggers on: "which skill should I use", "find me a skill", "what skills are available", "help me choose a skill", "skill for SEO", "skill for email", "explore skills", "I'm new to Affitor", "what can Affitor do", "search skills", "skill for blog writing", "skill for landing pages", "skill for analytics".

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Turn a repeatable AI prompt or workflow into a structured, shareable skill for the affiliate-skills GitHub repository. Use this skill when the user wants to create a new skill, write a SKILL.md, convert a prompt to a skill, share a skill via the GitHub repo, or document an AI workflow. Also trigger for: "create a skill", "write a skill", "make this a skill", "turn this into a skill", "publish skill", "add skill to list", "write SKILL.md", "skill from prompt", "document this workflow", "package this as a skill".

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 affiliate performance reports with KPIs and recommendations. Triggers on: "show my affiliate report", "how are my programs doing", "performance review", "earnings report", "monthly affiliate report", "weekly report", "analyze my affiliate earnings", "which program is best", "EPC report", "conversion rate analysis", "revenue breakdown", "campaign performance".

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。

Set up affiliate conversion tracking with UTM parameters and link tagging. Triggers on: "set up tracking", "create UTM links", "track my affiliate links", "tracking pixels", "click attribution", "organize my links", "UTM parameters", "tag my links", "campaign tracking", "link tracking setup", "prepare for launch", "debug attribution", "tracking spreadsheet".

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。

Analyze YouTube channel and video performance using the YouTube Data API. Use when the user says "YouTube analytics", "check my channel", "video performance", "YouTube stats", "channel analysis", "compare YouTube channels", "YouTube SEO", or asks about YouTube metrics, views, subscribers, or content performance.

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 Schema.org structured data (JSON-LD) for any page type. Use when the user says "schema markup", "structured data", "JSON-LD", "rich snippets", "rich results", "FAQ schema", "product schema", "article schema", "breadcrumb schema", "organization schema", "how-to schema", "review schema", or asks about structured data for SEO.

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。

Pull Google Search Console data and perform search performance analysis. Use when asked about search rankings, clicks, impressions, CTR, index coverage, Core Web Vitals, or sitemap status. Trigger phrases: "search console", "GSC", "search performance", "clicks and impressions", "CTR analysis", "index coverage", "core web vitals", "URL inspection", "sitemap status", "ranking data", "search queries", "keyword positions".

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。

Build a demand generation strategy and multi-channel campaigns. Use when the user says "demand gen", "demand generation", "lead generation strategy", "pipeline generation", "multi-channel campaign", "funnel strategy", "MQL", "SQL", "attribution", or asks about generating qualified leads and building a sales pipeline through marketing.

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 HubSpot CRM contacts, companies, deals, and CMS content via API. Use when the user says "add contact to HubSpot", "create deal", "search CRM", "HubSpot contacts", "update deal stage", "CRM report", "HubSpot pages", or asks about managing their sales pipeline, CRM data, or HubSpot content.

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Build an interactive competitive-traffic report for any company and its rivals — monthly visits (SimilarWeb), organic search traffic and Domain Rating (Ahrefs) — as one self-contained HTML page with ranked charts, a three-month trend, a multi-year overlay and a data table. Use when asked to benchmark a product against competitors, size up a market, answer "how much traffic does X get compared to Y", build a competitive landscape, or produce a traffic/authority comparison deck or page.

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。

Pull GA4 reports, traffic data, and insights from the Google Analytics Data API. Use when asked about website traffic, user behavior, acquisition channels, conversions, or audience segments. Trigger phrases: "google analytics", "GA4", "traffic report", "analytics data", "user acquisition", "engagement metrics", "conversion tracking", "audience segments", "page views", "sessions".

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Provides multi-school trading Q&A, chart/OHLCV analysis, annotation, and fresh-market workflows covering ICT/SMC, ChanLun, Wyckoff, Price Action, Order Flow, VSA, and Elliott Wave. Use for trading concepts; capability-discovery questions about available analysis lenses, Schools, models, modes, or data sources; attached charts; pasted OHLCV; chart annotation; or asset-plus-timeframe requests across crypto, stocks, or forex. Defaults unselected market analysis to strict ICT/SMC, honors explicit School/source selectors, and fails closed when no native analyzer exists. Phase 1 comparison is Q&A-only; fetch fresh Mobius Quant API data only after the capability gate.

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。