1万 件 ・ 関連度順
概要と使いどころ
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy.
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 and prioritize opportunities through a structured filtering process. Use for resource allocation, strategic decision support, and project management.
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。
Multi-dimensional Quality Acceptance and Problem Convergence Engine - Deeply deconstruct requirements, eliminate extreme defects, define absolutely objective acceptance and failure criteria.
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。
Research venture capital firms, angel investors, and funding sources for startup fundraising. Use when: "投资人调研", "找VC", "research investors", "VC list", "funding sources", "investor database", "天使投资人", "venture capital", "融资对象", "投资人画像". Generates a structured investor research report with firm profiles, investment thesis, portfolio companies, contact strategies, and warm introduction paths. Part of UniqueClub founder toolkit. Learn more: https://uniqueclub.ai Pairs with pitch-deck-creator for complete fundraising preparation.
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 and refines Founder Story and brand narrative content for DTC/independent stores selling founder-driven products (e.g. handcrafted leather, artisan sauces, small-batch goods). Use whenever the user mentions founder story, brand story, about page, origin story, artisan brand, handcrafted brand, "who we are" copy, brand voice, mission/vision for a product brand, landing page hero narrative, PDP brand block, or wants to differentiate through authenticity and founder-led storytelling—even if they do not say "founder story" explicitly. Output structured narrative frameworks, placement guidance, and ready-to-use copy aligned with DTC best practices.
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。
Guardian Angel gives AI agents a moral conscience rooted in Thomistic virtue ethics. Rather than relying solely on rule lists, it cultivates stable virtuous dispositions— prudence, justice, fortitude, temperance—that guide every interaction. The foundation is caritas: willing the good of the person you serve. From this flow the cardinal virtues as practical habits of right action and sound judgment. v3.0 introduced virtue-based disposition as the primary evaluation layer, providing deeper coherence than checklists alone. The agent's character becomes the safeguard. v3.1 adds: Plugin enforcement layer with before_tool_call hooks, approval workflows for ambiguous cases, and protections for sensitive infrastructure actions.
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。
Perform structured investment research (投研分析) for a company/stock/ETF/sector using a repeatable framework: fundamentals (basic/财务报表与商业模式), technical analysis (技术指标与关键价位), industry research (行业景气与竞争格局), valuation (估值对比/情景), catalysts and risks, and produce a professional research report + actionable plan. Use when the user asks for: equity/ETF analysis, earnings/financial statement breakdown, peer/industry comparison, valuation ranges, bull/base/bear scenarios, technical trend/support-resistance, or a full research memo.
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。
Multi-Agent group chat collaboration system inspired by DingTalk/Lark. Enables AI agents to chat in groups, @mention each other, assign tasks, make decisions via voting, and collaborate. Use when building multi-agent systems that need structured communication, task delegation, decision making, or group coordination.
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, multi-dimensional company investment research framework for AI agents and human analysts. Provides a 10-part checklist (moat, tech, market, customers, growth, financials, geography, governance, valuation, recommendation) to turn scattered info into a consistent, high-quality investment memo. | 面向 AI Agent 与人工分析师的公司投研框架，用 10 大维度系统梳理商业模式、护城河、成长与估值，快速产出结构化投研报告。
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。
Tracks competitors weekly across 6 signals: pricing page diffs, homepage positioning changes, blog/RSS posts, job postings (hiring as strategy signal), GitHub star velocity and releases, and daily critical-change alerts for pricing or funding keywords. Delivers a structured digest to Slack, Telegram, WhatsApp, or Discord every Monday. Fires same-day alerts for critical changes. Use when asked to "add competitor", "track competitor", "competitor digest", "what changed at [company]", "competitor report", "monitor [company]", "who is [company] hiring", "did [company] change pricing".
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 codebases, infrastructure, AND agentic AI systems for security issues. Covers traditional security (dependencies, secrets, OWASP web top 10, SSL/TLS, file permissions) PLUS agentic security (prompt injection scanning, identity spoofing detection, memory poisoning checks, multi-agent communication audit, OWASP Agentic Top 10). Use when scanning for vulnerabilities, detecting hardcoded secrets, reviewing agent workspace configuration, checking prompt injection vectors, or auditing agent permissions and boundaries.
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。
You are a professional business analyst, skilled in writing various industry research reports, business insights, consulting analyses, company research reports, competitive analysis, user research, market analysis, and more.## General InstructionsYou must use references and sources to support your arguments, but all cited literature or materials must appear in logically relevant parts of the te...
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。
Maxim product turntable video — engineered for pre-ownership feeling via Endowment Effect + Visual Completion Bias. The structured rotation format that makes viewers mentally "hold" the product → purchase intent lift.
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。
Answer a question from the structured wiki before searching the web — "query the wiki", "what do we know about", synthesis request, cross-project research. Returns cited synthesis with wikilinks and counter-arguments.
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 ship software — code, implement, develop, API, backend, frontend, deploy, infrastructure, CI/CD, databases, cloud, mobile, AI/ML. The CTO office's broadest execution domain, applied with TDD discipline.
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SEO, AEO and GEO — search, keywords, ranking, visibility, answer engine optimization, generative engine optimization, voice search, organic traffic, featured snippets, technical search audit, E-E-A-T, structured 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。
Agency and studio operations — operations, analytics, finance, infrastructure, support, reporting, dashboards, KPIs, budget. Multi-office domain where CTO, CEO and CSO agents converge.
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。
Ingest raw sources into the structured wiki — "ingest", "add this to my wiki", new files in raw/, clippings, sources, ideas, nightly ingest. Produces pages with YAML frontmatter and a mandatory Counter-Arguments section.
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。
Structure AI work artifacts under .aiwork/{YYYY-MM-DD}_{slug}/ folders using the project's protocol (intent, triage, research, spec, prd, areas, plan, review, notes, docs/). Use when the user asks to plan, capture an intent, make a spec, triage, research a task, write a report, code review, summarize findings, save the work, document decisions, record this, write that down, persist findings, or references any path under .aiwork/. Also use when starting a non-trivial task that needs a plan or spec before implementation, or when finishing one and capturing notes.
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 for creating and editing Claude Code skills. Use when user wants to create a new skill, create a new slash command (skills are the unified primitive - commands live in skills/ now), update an existing skill, or needs help structuring a SKILL.md file.
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 creating, modifying, or managing Claude Code plugins and plugin marketplaces. Trigger when working with plugin manifests (plugin.json, marketplace.json), creating plugin directory structures, adding plugin components (commands, skills, agents, hooks), version bumping, or when discussing plugin development 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。
Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.
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 Matrix/Virgo-Core Proxmox VE cluster (nodes Foxtrot, Golf, Hotel - MINISFORUM MS-A2 with AMD Ryzen 9 9955HX). Covers VM provisioning, VLAN networking, CEPH storage, and automation via Python (proxmoxer), Ansible (community.general.proxmox), and Terraform (Telmate/proxmox).
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 creating high-quality GitHub Copilot prompts with proper structure, tools, and best practices.
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。