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概要と使いどころ
Odoo website and portal engineering guidance for QWeb templates, public and portal controllers, website models, frontend assets, and route integration. Use when working on Odoo website pages, portal flows, public forms, QWeb, website templates, portal access, or frontend behavior outside a pure OWL component.
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。
Odoo browser-facing test guidance for HTTP controllers, website and portal flows, QWeb templates, assets, OWL integration, browser tours, and JavaScript behavior. Use when testing or debugging public pages, portal access, forms, controllers, frontend assets, or end-to-end Odoo web behavior.
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。
broot is a Rust-based terminal tool that provides a new way to see and navigate directory trees. It offers fuzzy search, file preview, git status integration, and an interactive tree view that adapts to your terminal size.
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。
Lints Protocol Buffer definitions using the Buf CLI ruleset and validates gRPC service contracts. Detects breaking changes between proto revisions using buf breaking with git 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。
Browser Use is an open source browser automation framework for AI agents that turns websites into controllable interfaces for multi-step tasks. It combines a Python SDK, browser orchestration, and model integrations so agents can navigate, extract data, and complete workflows in real browsers.
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。
bat is a cat(1) clone written in Rust that adds syntax highlighting for over 200 languages, Git integration showing file modifications, automatic paging, and line numbering. It serves as a drop-in replacement for cat with enhanced readability for code and configuration files.
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。
The official AWS Labs MCP server collection provides AI agents with structured access to AWS documentation, service APIs, billing data, and infrastructure metadata through the Model Context Protocol, built and maintained by AWS for secure cloud automation 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。
Execute AWS Systems Manager Automation runbooks and Run Command documents using the SSM API and boto3. Supports cross-account execution, rate controls, and parameter store 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。
Manages ArgoCD application syncs using the argocd CLI and the Argo CD REST API (v1alpha1). Supports progressive delivery with Argo Rollouts integration and automated health checks via Kubernetes readiness probes.
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。
Anyquery is a SQL query engine that lets you run SQL against 40+ apps, files, and databases including GitHub, Notion, Chrome, and Apple Notes. Built on SQLite with MCP server support for connecting AI agents to structured data across services.
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。
Extracts text and metadata from 1000+ file formats using Apache Tika server REST API. Handles PDF OCR via Tesseract integration, Office document parsing, and email archive extraction with MIME detection.
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。
Analyzes and optimizes content readability using Flesch-Kincaid scoring, Hemingway Editor API integration, and Grammarly Text API. Generates SEO-optimized rewrites targeting specific grade levels.
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。
Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.
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。
aerc is a terminal-based email client written in Go with first-class support for IMAP, SMTP, JMAP, Maildir, and Notmuch. It features Vim-like keybindings, email threading, HTML rendering, built-in patch management, and deep UNIX integration through pipes and commands.
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 SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.
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。
Aider is an open-source AI pair programming tool that runs in your terminal, letting you collaborate with LLMs to edit code across your entire codebase. With 42k+ GitHub stars and 15 billion tokens processed weekly, it features deep git integration, repo-wide code mapping, and support for 100+ programming languages.
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。
Expert website copywriting for SaaS and B2B companies. Use when writing homepage copy, feature pages, about pages, pricing pages, comparison pages, product tours, integration pages, use case pages, demo/contact pages, or navigation microcopy. Use for website messaging hierarchy, value proposition development, and page-level conversion optimization.
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。
Expert partnership marketing guidance for building and scaling partner programs, co-marketing campaigns, and channel ecosystems. Use when developing partner strategy, creating co-marketing content, designing partner tiers, building affiliate programs, positioning in integration marketplaces, enabling channel partners, planning joint webinars, or structuring revenue sharing. Use for technology partnerships, reseller programs, strategic alliances, and partner relationship 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。
Expert platform and API product management guidance for developer-focused products. Use when planning API product strategy, designing APIs, improving developer experience (DX), creating developer documentation, building SDKs, planning API versioning and deprecation, building developer communities, creating integration marketplaces, or measuring platform health. Covers REST, GraphQL, webhooks, and platform ecosystems.
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。
The Mileva Method (CRISP) — Phase 3: Investigate. Process mapping for existing or greenfield processes, user journey mapping, UX discovery, project goals, system architecture (integration map + data flow). Use after outcome alignment. Triggers on "investigate", "phase 3", "map the process", "process mapping", "user journey", "as-is process", or after Phase R exit checklist is complete.
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 focused tdmcp tests for one assigned coverage gap. Use for Vitest/msw unit tests, integration tests, bridge tests, CLI/config/resource tests, and regression tests that should raise coverage without weakening behavior.
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。
Survey the whole tdmcp project and produce a prioritized list of NEW features it could implement — across artist controls, CLI/DX, AI/LLM integration, and TouchDesigner depth. Use whenever the user wants to brainstorm, discover, survey, list, or audit what features/tools/effects/controls/commands/prompts/capabilities tdmcp *could* add, asks 'what could we build / what's missing / what are the opportunities / ideas for the project', or wants a feature backlog or gap analysis. Also for follow-ups: re-run, refresh, update, re-survey, deepen, or re-prioritize the backlog, or survey just one surface (e.g. 'CLI ideas only'). This is the IDEATION harness — it produces a list to decide from; it does NOT build. When the user has already chosen a feature and wants it implemented/shipped/added, use tdmcp-pipeline instead.
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。
Scout the TouchDesigner community for what's HYPED right now — community showcases, recent tutorials, generative-AI bridges, hardware interaction trends, visual-aesthetic trends of 2025-2026 — then propose tdmcp tools that ride those trends AND are easy to build. Use whenever the user wants to brainstorm new feature ideas based on what's trending in TouchDesigner, asks for 'hype' or 'trending' features, asks 'what are people doing in TD right now / what's hot / what's hype', wants tools inspired by community trends, asks to scout TD trends/aesthetics/integrations, or says things like 'ideias hype', 'novas ideias', 'o que está em alta', 'criar ferramentas para o que está bombando', 'tendências do TouchDesigner'. Also for follow-ups: refresh, rescout one surface, re-rank under another profile, deepen a trend, or filter for buildable-easy items. This is an EXTERNAL trend ideation harness — complementary to tdmcp-feature-discovery (which is INTERNAL gap analysis). It produces `_workspace/hype-scout/HYPE_TOOL_BACKLOG.md` ranked by Hype × Build-Ease; it does NOT build. Once a feature is chosen from the backlog, hand it to tdmcp-pipeline.
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 effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
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。