「oss」の検索結果

Be the COO with process design, organizational scaling, cross-functional execution, and operational excellence.

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。

Run a two-pass, multidisciplinary code audit led by a tie-breaker lead, combining security, performance, UX, DX, and edge-case analysis into one prioritized report with concrete fixes. Use when the user asks to audit code, perform a deep review, stress-test a codebase, or produce a risk-ranked remediation plan across backend, frontend, APIs, infra scripts, and product flows.

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。

Calendar management and scheduling. Create events, manage meetings, and sync across calendar providers.

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。

B2B SaaS competitive intelligence with 24 scenarios across Sales/HR/Fintech/Ops Tech

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。

Cross-session memory that resumes your project where you left it, not where the base voice assumes.

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。

Your brand voice locked across AI outputs. 15 cinematic styles. Design that does not read as AI.

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 e-commerce direct-response video — engineered for PURCHASE. The primary sales style. Uses AIDA + JTBD + Loss Aversion + Scarcity + Anchoring stacked for maximum conversion. Every second is behavioral leverage.

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。

Repurpose one piece of content across platforms — "repurpose this for all platforms", "turn this into a thread and a LinkedIn post", "make platform versions of this". Each output is written for its platform, not reformatted.

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。

Regulatory review across 14 frameworks — compliance review, privacy impact assessment, regulatory gap analysis, data subject rights, consent mechanisms, audit trail, AI ethics review, data flow mapping. Covers GDPR, PIPEDA, HIPAA, PCI-DSS, SOC2, UAE-PDPL, EU AI Act and more.

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 opening hooks for content — "give me hooks for", "write hooks for this topic", "10 opening lines for". Returns 10 distinct hooks across different psychological angles using the named 2-Second Hook framework.

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 Master Design Intelligence — full-spectrum UI/UX orchestration. Activates all design sub-domain skills in parallel. Use when a task spans multiple design domains simultaneously: product design strategy, interaction design, information architecture, usability heuristics, design critique, cross-platform consistency, design leadership. The master conductor of all Maxim design agents.

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。

Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (GLOSSARY.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.

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。

Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.

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。

Comprehensive MCP tool reference for Proxmox Virtual Environment management - 92 tools across 14 domains including QEMU VMs, LXC containers, cluster operations, storage, networking, Ceph, certificates, ACME, and notifications

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Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM). Use when asked to reverse-engineer live Azure infrastructure, generate Infrastructure as Code from existing subscriptions/resource groups/resource IDs, map dependencies, derive exact import addresses from downloaded module source, prevent configuration drift, and produce AVM-based Terraform files ready for validation and planning across any Azure resource type.

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Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.

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。

Bulk-migrate metadata to GitHub issue fields from two sources: repo labels (e.g. priority labels to a Priority field) and Project V2 fields. Use when users say "migrate my labels to issue fields", "migrate project fields to issue fields", "convert labels to issue fields", "copy project field values to issue fields", or ask about adopting issue fields. Issue fields are org-level typed metadata (single select, text, number, date) that replace label-based workarounds with structured, searchable, cross-repo fields.

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。

Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.

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。

Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.

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 you need to check feature flag states, compare channels, or debug why a feature behaves differently across release channels.

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 integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Generates DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems. Use when creating integration tests for a migrated project, generating test coverage for data access layers, or writing Oracle-to-PostgreSQL migration validation tests.

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。