317 件 ・ 関連度順
概要と使いどころ
Create, revise, validate, or package Bot Generator Bot agent specifications and runnable MetaHarness agents using its CLI or MCP. Use for this repository's agent creation workflow, not unrelated chatbot 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。
Standardize SRS and FRS specifications for technical behavior, interfaces, data contracts, quality constraints, and verification mapping. Use when writing SRS, functional specification, system behavior requirements, API/data contracts, or non-functional thresholds.
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。
Designs modular high-level architectures from functional requirements and produces design documents for each module. Use when designing a new system, creating architecture documentation, or producing module-level design specs with integration contracts and test specifications.
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 use brand.yml files for consistent branding across Shiny apps and Quarto documents. Covers: (1) Creating new _brand.yml files, (2) Applying to Shiny (R and Python), (3) Using in Quarto, (4) Modifying existing files, and (5) Troubleshooting. Includes complete specifications and integration guides.
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 specifications for effective dashboards. Use when planning new dashboards, improving existing ones, or documenting dashboard requirements before development starts.
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 and answer questions about Volcengine API specifications. Trigger this skill whenever a user asks about Volcengine API parameters, error codes, request methods, enum values, required fields, response structures, pagination, parameter dependencies, or API comparisons — even if they don't explicitly say "API". Typical triggers include questions like "What parameters does DescribeInstances have?", "What values does Status support?", "What does InvalidInstanceId.NotFound mean?", "Does Volcengine have a batch tag deletion API?", "Which APIs does ECS support?", "How do I pass parameters to CreateDatabase?", "Is ChargeType required?", "What fields does DescribeInstances return?", "How do I paginate instance lists?", "What's the difference between these two APIs?", "RunInstances returns InvalidParameterValue". When the user needs runnable SDK code, hand off to the volcengine-sdk-generator skill. When the user needs CLI-based operations, hand off to the volcengine-cli skill. Supports both Chinese and English 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。
Write, organize, name, edit, or review Enterprise developer documentation, specifications, and technical instructions; ground claims in current source and finish with a plain-language cleanup.
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。
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
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。
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
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 a product, selection or FF&E schedule against sourced evidence and flag discrepancies, unknowns and stale specifications. Use to check product data; not to repair records, certify compliance or generate cut sheets.
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。
Extract sourced FF&E specifications from supplied product PDFs into reviewable structured data. Use for fact sheets, spec sheets and price books; not web-page capture, EPD extraction or automatic schedule adoption.
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 Norma to coordinate architecture, buildings, projects, clients, proposals, schedules, specifications, sites, zoning, FF&E and firm work through the relevant Arch Studio owners. Direct skill requests stay with their owner.
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。
Provides and generates LangChain4j tool and function calling patterns: annotates methods as tools with @Tool, configures tool executors, registers tools with AiServices, validates tool parameters, and handles tool execution errors. Use when building AI agents that call tools, define function specifications, manage tool responses, or integrate external APIs with LLM-driven applications.
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。
Word document generation for construction: contracts, proposals, reports, specifications, transmittals. Template-based with dynamic content insertion.
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。
PDF processing for construction documents: RFIs, submittals, specifications, drawing packages. Extract data, merge packages, fill forms.
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。
Extract structured data from construction specifications. Parse CSI sections, requirements, submittals, and product data from spec documents.
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。
Implement semantic vector search for construction data. Build AI-powered search using embeddings and vector databases (Qdrant, ChromaDB) for intelligent querying of specifications, standards, and project documents.
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。
Extract structured data from construction documents using LLMs. Process RFIs, submittals, contracts, specifications. Convert unstructured PDFs to structured JSON/Excel.
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。
Extract structured data from construction PDFs. Convert specifications, BOMs, schedules, and reports from PDF to Excel/CSV/JSON. Use OCR for scanned documents and pdfplumber for native PDFs.
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。
Automatically classify and extract information from construction documents using NLP. Categorize RFIs, submittals, change orders, specifications, and contracts.
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。
Generates phased, dependency-ordered implementation tasks from specifications. Use after spec is complete and before starting implementation.
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。
Creates clear, testable specifications from feature descriptions with user stories. Use when starting a new feature and needing a spec before planning.
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。
Transforms project briefs into testable specifications with user stories and acceptance criteria. Use after brainstorming, before planning.
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。
Evaluate Agent Skill design quality with an opinionated, practice-derived rubric informed by public specifications and examples. Use when reviewing, auditing, comparing, or improving SKILL.md files and skill packages. Produces evidence-backed findings, optional multi-dimensional scoring, and prioritized changes; treat the result as diagnostic guidance, not official certification or a universal standard.
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。