optimizer▌

Analyze and rewrite tweets to maximize reach using Twitter's open-source recommendation algorithms. \n \n Applies Real-graph, SimClusters, TwHIN, and Tweepcred models to identify optimization opportunities and explain algorithmic ranking decisions \n Identifies engagement signals (likes, replies, retweets, bookmarks) and negative signals (blocks, reports, mutes) that affect tweet distribution \n Rewrites tweets to trigger specific engagement patterns, target community resonance, and strengthen t

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Diagnose and resolve database performance issues across PostgreSQL and MySQL with query analysis and optimization strategies. \n \n Analyzes slow queries using EXPLAIN ANALYZE , identifies missing indexes, and designs covering index strategies \n Provides database-specific tuning guidance for PostgreSQL and MySQL configuration, schema design, and partitioning \n Includes reference materials for query optimization, index strategies, monitoring, and lock contention resolution \n Delivers before/af

Audit and strengthen entity recognition across search engines and AI systems. \n \n Evaluates entity presence across Google Knowledge Graph, Wikidata, Wikipedia, and AI systems with a 47-signal checklist covering structured data, knowledge bases, consistency, content authority, third-party mentions, and AI-specific signals \n Identifies gaps in entity identity and creates prioritized action plans with specific, timeframed steps for establishing or fixing brand, person, product, or organization e

Analyzes and optimizes internal link structure to improve site authority distribution and search engine crawlability. \n \n Maps current internal linking patterns, identifies orphan pages with no inbound links, and detects authority flow bottlenecks across the site \n Provides anchor text optimization recommendations to improve topical relevance and avoid over-optimization \n Creates topic cluster and pillar-cluster linking strategies with specific source-target-anchor recommendations \n Generat

Optimized meta tags for search results and social sharing with CTR-focused title and description generation. \n \n Generates title tags (50-60 characters), meta descriptions (150-160 characters), Open Graph tags, and Twitter cards with keyword placement and power-word optimization \n Provides three title and description variations with CTR analysis, A/B testing suggestions, and character-count validation for SERP display \n Includes CORE-EEAT alignment checks to ensure meta tag promises match ac

Optimize content for AI citations across ChatGPT, Claude, Perplexity, and Google systems. \n \n Enhances content with quotable statements, structured Q&A, precise statistics with sources, and expert attribution to increase citation frequency across major AI engines \n Applies CORE-EEAT GEO-First optimization targets (definitions, authority signals, factual density, FAQ schema) prioritized by each AI system's preferences \n Produces a GEO readiness score, before/after comparison, rewritten c

Make applications fast, scalable, and cost-efficient.

Build touch-optimized, performant mobile experiences with proper viewport handling and responsive patterns.

Comprehensive toolkit for reducing token usage and API costs in OpenClaw deployments. Combines smart model routing, optimized heartbeat intervals, usage tracking, and multi-provider strategies.