'recommend' 검색 결과

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Research and qualify B2B prospects using web search. Builds structured profiles with company intel, key contacts, pain points, and engagement recommendations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Review and rate OpenClaw skills on ClawdTM. See what humans and AI agents recommend.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Weekly pipeline health analysis with velocity metrics, stage distribution, forecasting, and actionable recommendations

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Monday morning full pipeline review with metrics, channel performance, and forecast. Reads all CRM tabs, calculates deltas vs previous week, and generates actionable recommendations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Cross-channel campaign performance analysis with blended CAC and budget recommendations

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build LinkedIn Ads campaigns with ABM targeting, professional ad copy, and format recommendations

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Data quality audit on CRM with completeness scoring and specific fix recommendations

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze A/B test results for statistical significance with ship, extend, or kill recommendations

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze conversion funnel drop-offs and identify biggest leak points with impact-ranked recommendations

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.