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概要と使いどころ
Full exploit development course roadmap and syllabus: weekly topics, recommended reading, lab setup, and learning path from vulnerability classes through advanced exploitation. Use to structure exploit dev training or onboard new researchers.
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 in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.
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。
Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns. This skill covers Playwright (recommended) and Puppeteer, with patterns for testing, scraping, and agentic browser control. Key insight: Playwright won the framework war. Unless you need Puppeteer's stealth ecosystem or are Chrome-only, Playwright is the better choice in 202
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 and qualify B2B prospects using web search. Builds structured profiles with company intel, key contacts, pain points, and engagement recommendations.
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。
Review and rate OpenClaw skills on ClawdTM. See what humans and AI agents recommend.
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 LinkedIn Ads campaigns with ABM targeting, professional ad copy, and format recommendations
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 pipeline health analysis with velocity metrics, stage distribution, forecasting, and actionable recommendations
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。
Builds Quarterly Business Review decks for active clients. Pulls metrics, generates structured QBR with wins, challenges, roadmap, and recommendations. Uses crm-writer to read client 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。
Cross-channel campaign performance analysis with blended CAC and budget recommendations
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。
Monday morning full pipeline review with metrics, channel performance, and forecast. Reads all CRM tabs, calculates deltas vs previous week, and generates actionable recommendations.
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。
Monthly strategic review playbook. Chains pipeline-review + campaign-analyzer + win-loss-analyzer + gtm-analyzer. Outputs executive summary with KPIs, channel ROI, competitive shifts, and strategic recommendations.
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 email sequence performance metrics. Evaluates open rates, click rates, reply rates, and conversion by step. Identifies drop-off points, benchmarks against industry averages, and recommends optimizations.
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。
Pre-meeting research and talking points generator. Researches the person and company, pulls CRM history, and generates a structured briefing with agenda, talking points, objection handlers, and recommended asks.
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。
Analyze A/B test results for statistical significance with ship, extend, or kill recommendations
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。
Data quality audit on CRM with completeness scoring and specific fix recommendations
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。
Analyze conversion funnel drop-offs and identify biggest leak points with impact-ranked recommendations
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。
Analyze design trends and recommend appropriate styles, color palettes, and typography systems for your project based on current design movements. NOT for accessibility auditing or full design system creation.
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。
Learns from DAG execution history to improve future performance. Identifies successful patterns, detects anti-patterns, and provides recommendations. Activate on 'learn patterns', 'execution patterns', 'what worked', 'optimize based on history', 'pattern analysis'. NOT for failure analysis (use dag-failure-analyzer) or performance profiling (use dag-performance-profiler).
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。
Strategic analyst that maps competitive landscapes, identifies white space opportunities, and provides positioning recommendations. Use when users need competitive analysis, market positioning strategy, differentiation tactics, or "how do I stand out?" guidance across any domain (portfolios, products, services). NOT for market size estimation or financial forecasting.
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。