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概要と使いどころ
Deep Research Agent specializes in complex, multi-step research tasks that require planning, decomposition, and long-context reasoning across tools and files by we-crafted.com/agents/deep-research
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。
Your Claude Code wingman - orchestrate multiple Claude Code sessions across projects, monitor them all from WhatsApp
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 a comprehensive read-only security audit of Clawdbot's own configuration. This is a knowledge-based skill that teaches Clawdbot to identify hardening opportunities across the system. Use when user asks to "run security check", "audit clawdbot", "check security hardening", or "what vulnerabilities does my Clawdbot have". This skill uses Clawdbot's internal capabilities and file system access to inspect configuration, detect misconfigurations, and recommend remediations. It is designed to be extensible - new checks can be added by updating this skill's knowledge.
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 the user asks to "perform cloud penetration testing", "assess Azure or AWS or GCP security", "enumerate cloud resources", "exploit cloud misconfigurations", "test O365 security", "extract secrets from cloud environments", or "audit cloud infrastructure". It provides comprehensive techniques for security assessment across major cloud platforms.
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。
Backup and restore openclaw configuration, skills, commands, and settings. Sync across devices, version control with git, automate backups, and migrate to new machines.
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。
Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.
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。
Smart LLM router — save 67% on inference costs. Routes every request to the cheapest capable model across 41 models from OpenAI, Anthropic, Google, DeepSeek, and xAI.
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。
Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.
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。
Promote Doppel world builds across social platforms. Use when the agent wants to share builds on Twitter/X, Farcaster, Telegram, or Moltbook to drive observers, grow reputation, and recruit collaborators.
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 historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
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 real-time and historical financial data across equities and crypto—prices, market moves, metrics, and trends for analysis, alerts, and reporting.
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。
look up and explain llm api pricing across models.dev, openrouter, and official provider pages. use when the user asks for model prices, input/output token costs, cached-token costs, openrouter aliases such as :free, provider-specific pricing, official versus third-party prices, or wants to verify an api call cost log.
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。
Requires OFOX_API_KEY — create one at https://app.ofox.ai. Produce a set of product images to choose between — several styles, backgrounds or treatments of one product, for a listing, a store page or an ad — and quote the whole set's cost before any of it is spent. From a real product photo it edits that photo once per style, so the item stays identical across the set; for a fictional or prototype product with no photo it generates from text instead, and says what that costs in accuracy. Delegates to ofox-image-core. Use when a user asks for several product images at once, e.g. "give me 4 main images in different styles for this product", "a few background options for this photo", "some listing images for my shop", or "show this product on white, on wood, and in a lifestyle scene". Do not use for a single change to a single image (see image-edit), for video from a product photo (see seedance-product-video), or for one plain text-to-image render (that is ofox-image-core's `generate`).
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。
Full daily team standup across all 6 verticals: Sales, Social Media, Content, SEO, Creative, and Strategy. Spawns all vertical agents in parallel, collects reports, and presents a unified standup summary. Run at 9 AM daily.
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。
Reallocate ad budget across campaigns and channels using ROAS and marginal return analysis
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 six formats while maintaining brand voice
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 a weekly social media content calendar across platforms. Chains blog-researcher + linkedin-researcher + social-content-writer to produce 5-7 posts/week with posting schedule.
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。
Monitor competitor ads across Meta, Google, and LinkedIn with strategic analysis
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。
Orchestrates the full multi-channel outreach cadence for all active leads. Tracks where each lead is, generates appropriate content, manages daily caps, handles weekends, and coordinates across email, LinkedIn, Instagram, and phone.
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。
Weekly churn risk detection across active client accounts. Scans for signals like decreased engagement, missed meetings, delayed payments, and competitor mentions. Scores risk 1-10 and outputs prioritized alert list.
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。
Determines all follow-up actions due today across the 10-day outreach cadence. Generates content and delivers automatically via Chrome DevTools MCP. Sends Telegram confirmation after completion.
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 warm prospects from competitor and industry post engagers across LinkedIn, Twitter, and blogs
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-touch attribution analysis across marketing channels with multiple models
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。