Design a structured goal-setting protocol using SMART or implementation-intention frameworks for students. Use when launching units, projects, or developing student self-direction habits.
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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Design a structured goal-setting protocol using SMART or implementation-intention frameworks for students. Use when launching units, projects, or developing student self-direction habits.
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。
Design a media deconstruction protocol analysing persuasion, bias, or representation in media texts. Use when teaching students to critically read advertisements, news, or social media content.
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。
Design a pedagogical documentation protocol for making children's learning processes visible and shareable. Use when documenting learning, communicating with families, or planning next steps.
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。
Design a source evaluation protocol using lateral reading and credibility checks for digital information. Use when students need to evaluate websites, online sources, or social media claims.
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。
Design a fact-checking protocol for AI-generated text, extending SIFT with AI-specific adaptations for hallucination detection. Use when students need to verify AI claims and citations.
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。
Design a checking-for-understanding protocol with specific techniques for each lesson stage. Use when planning systematic comprehension checks during explicit or direct instruction.
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。
Query A-share and Chinese financial market data via multiple data sources. Tier-1 paid source is iFind (同花顺, covers stocks/funds/macro/bonds/HK-US/ESG/index-sectors). Tier-2 free source is AkShare (行情/财报/行业/指数). Use whenever the agent needs Chinese financial data — compatible with 沪深 A 股, 科创板, 创业板, 北交所, and 港股通 stocks.
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。
Author ComfyUI-LoRA-Manager nodes from the panel. Use when adding a LoRA Manager loader, stacker, prompt, or text node, or when panel_add_node refuses AUTOCOMPLETE_TEXT_LORAS / AUTOCOMPLETE_TEXT_PROMPT after waiting for a widget.
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 protocol/interface test suites that any implementation must pass. Define the contract once, test every implementation. Use when designing protocols or swapping implementations.
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。
FBA inventory planning — restock timing, safety stock, IPI score optimization, stranded inventory recovery
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。
Amazon competitor monitoring and competitive intelligence for sellers. Track pricing changes, inventory levels, new product launches, review velocity, and advertising patterns for competitor ASINs. Set up monitoring alerts for price drops, stock-outs, and market changes. Works on 12 Amazon marketplaces. No API key required. Use when: (1) monitoring competitor pricing strategies, (2) tracking competitor inventory and stock patterns, (3) detecting new product launches in your category, (4) analyzing competitor review velocity and ratings, (5) identifying market opportunities from competitor gaps, (6) setting up competitive alerts and benchmarks.
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。
Amazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete data, seasonal demand for Amazon products, or anything related to researching what to sell on Amazon — even if they don't explicitly say 'keyword research'. Also trigger when the user asks vague questions like 'is this a good product to sell?', 'what's the competition like for X on Amazon?', 'should I sell X or Y?', or 'what are people searching for on Amazon?'.
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。
Mileage earning rates by airline and booking class via wheretocredit.com. Redeemable and qualifying miles across 50+ programs. Use when deciding where to credit a flight or comparing earning rates.
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。
根据用户指定的数学规则(如取整、特定尾数四舍五入),生成用于批量修改AutoCAD图元(如直线、多段线)坐标值的VisualLISP代码。
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。
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
日本語の概要は準備中です。原文の説明を表示しています。
Async REPL Protocol
日本語の概要は準備中です。原文の説明を表示しています。
Use when `evidence-review` needs an operational protocol before screening and extraction.
日本語の概要は準備中です。原文の説明を表示しています。
A股/港股/美股通用"卡脖子"选股技能。应用 Serenity(@aleabitoreddit)的供应链瓶颈理论, 对任意板块/产业链进行结构化分析,寻找"一旦断货整个产业就停工"的瓶颈环节, 并筛选该环节中具备技术壁垒和资本信号的小盘股。 触发词:分析XX板块、找XX卡脖子、serenity分析、A股/美股/港股瓶颈产业链 EN triggers: analyze [sector] choke points / find bottlenecks in [industry] JP triggers: [セクター] のボトルネックを分析 KR triggers: [산업] 의 병목 지점 분석 适用板块示例:电力、光模块、医疗器械、半导体设备、军工、新能源车等任意板块; 港美股示例:InP衬底(AXTI)、CPO激光器(AAOI)、AI算力链(NVDA/TSM) 数据源:三级数据获取策略(智能体自带财经工具 → 本技能内置脚本 → 网络检索), 不依赖任何特定平台,Claude Code / Codex / 通用智能体均可直接使用。 行情/估值支持 A股+港股+美股;研报/两融/筹码等深度数据仅A股。 ⚠️ 注意:本技能不预测大盘走势,不适用于纯题材炒作无实质产业逻辑的小票。
CoinGecko API documentation - cryptocurrency market data API, price feeds, market cap, volume, historical data. Use when integrating CoinGecko API, building crypto price trackers, or accessing cryptocurrency market data.
日本語の概要は準備中です。原文の説明を表示しています。
CCXT cryptocurrency trading library. Use for cryptocurrency exchange APIs, trading, market data, order management, and crypto trading automation across 150+ exchanges. Supports JavaScript/Python/PHP.
日本語の概要は準備中です。原文の説明を表示しています。
Model Context Protocol (MCP) server patterns for building integrations with Claude Code. Triggers on: mcp server, model context protocol, tool handler, mcp resource, mcp tool.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
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 faceless content video prompts for Seedance 2.0 on Higgsfield. Use for faceless YouTube channels, TikTok content without showing face, anonymous creator content, narration-driven videos, stock-footage-style AI content, or any video where the creator doesn't appear on camera. Triggers on faceless, no face, anonymous, narration, stock footage, b-roll, background video, voiceover video.
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。
Lab automation platform for Flex/OT-2 robots. Write Protocol API v2 protocols, liquid handling, hardware modules (heater-shaker, thermocycler), labware management, for automated pipetting workflows.
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。