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Analyze LinkedIn performance and manage engagement through Publora. Use when the user asks how a LinkedIn post or account performed (impressions, reach, reactions, comments, reshares, follower growth) or wants to react, comment, reshare or resolve an @mention. Statistics run over the REST API, engagement over MCP tools. Not for creating posts (use linkedin-post).
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。
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.
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。
Drive the Voxt UI from Codex — chrome-devtools MCP setup, debugUI helpers, fast multi-user sign-in
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。
Plan changes to this repository using its domain CLI, MCP boundaries, and harness validation evidence.
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。
Inspect repository session replay and verify configured MetaHarness field memory boundaries before reusing outcomes.
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 proposed repository harness changes with pinned Darwin tools and explicit evidence limits.
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 for .NET application development involving services, managers, dependency injection, Microsoft.Extensions.Hosting, dependency direction, MiniDb persistence, DTOs, Mapster mapping, shared entities/helpers, MCP tools, module workflows, solution analysis, cancellation, logging, and logic shared by CLI and Blazor.
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。
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for prompt-injection, retrieval poisoning, memory contamination, planner drift, MCP or tool-boundary abuse, and agent exfiltration challenges. Use when the user asks to analyze prompt injection, retrieval poisoning, memory contamination, planner drift, tool-argument corruption, or secret exposure caused by an agent chain. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
日本語の概要は準備中です。原文の説明を表示しています。
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for AI-agent, prompt-injection, MCP or toolchain, cloud, container, CI/CD, and supply-chain challenges. Use when the user asks to analyze prompt-to-tool flows, retrieval poisoning, mounted secrets, deployment drift, runtime-vs-manifest mismatches, registry provenance, or CI-produced artifacts under sandbox assumptions. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
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 Claude Code to investigate one API, Claude Code or MCP question against a local documentation snapshot with paths, provenance and freshness limits.
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 bounded, report-only audit of coding-agent settings, instruction reachability, hooks, MCP wiring, and verification evidence with actionable findings.
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 Agent Media when an agent needs to create captioned vertical UGC videos, narrated b-roll overlays, reusable characters, images, and voice through a hosted MCP server and companion skills.
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。
Give Claude Code, Codex, Cursor, ChatGPT and other MCP clients 1,000+ apps and 400+ expert-built Skills through one reusable Aident Loadout setup, with credentials kept in Aident Vault and every action recorded in Audit.
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。
[Deprecated] engineering bridge merged. Use `cm-mcp-engineering` 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。
[Deprecated] engineering bridge merged. Use `cm-mcp-engineering` 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。
Ultimate Design System Intelligence. Manage, extract, replicate, and improve UI design systems. Extracts design tokens visually from existing sites (Harvester v5), manages multi-page tokens, and utilizes MCP servers like Google Stitch and Pencil.dev to generate complete, consistent design systems (Shadcn UI, Halo, Lunaris, Nitro). Use when the user asks to "extract design from a URL", "create a Shadcn design system", "analyze design tokens", "build a design system for", or "copy the UI style of".
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。
Ultimate UI/UX design intelligence: an Anti-Slop layer that kills AI tells (em-dash, AI purple glow, generic names, template layouts), tunable Design Dials (variance/motion/density) and Style Modes (functional, minimalist, brutalist, soft-premium, marketing), 161 industry color palettes in a shadcn-aligned semantic token schema, 48 UX Laws, 37 Design Tests, UX Heuristics (Nielsen + Krug), Harvester extraction, Figma & Google Stitch integration, MCP server, Component Generator, and BM25 search across 17 domains + 19 framework stacks. One command = complete design system. Use when designing or reviewing UI/UX, choosing colors/typography, fixing generic AI-looking designs, or building Web App / SaaS / Mobile screens.
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。
Working memory protocol — routes to session protocol, memory audit, MCP/URI integration, or storage details based on the current need. Keeps default continuity usage cheap.
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。
Turns a plain-language idea into a tested Chrome Manifest V3 extension, release bundle, store materials, and a resumable launch workflow using Codex skills and Playwright MCP acceptance checks.
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 GBrain to give OpenClaw or Hermes-style agents a local knowledge brain with markdown ingestion, entity links, hybrid search, scheduled consolidation, and MCP access.
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。
Finds and compares 184,900 swimming spots worldwide (beaches, lakes, bathing places) with live water temperature, wind, UV and wave signals, local guides and source-backed activity providers, via the public BeachFinder MCP server.
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 ZCF to initialize, update, and standardize Claude Code or Codex environments with prompts, workflows, MCP services, API settings, and backups.
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 Agent QA's CLI and MCP server to author, validate, run, debug, and triage natural-language web and mobile regression tests with persistent test memory and reviewable run evidence.
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。
Lets agents operate Google NotebookLM/Gemini Notebook through a Python API, CLI, skill, MCP server, or REST server to create notebooks, add sources, ask cited questions, generate artifacts, and download exports.
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。