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AI citability scoring and optimization.
Monthly delta tracking and progress reporting for GEO clients.
Content quality and E-E-A-T assessment for AI citability — evaluate experience, expertise, authoritativeness, trustworthiness, and content structure
AI crawler access analysis.
Analyzes and generates llms.txt files -- a proposed convention for helping AI systems understand website structure and content.
Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually
Auto-generate a professional, client-ready GEO service proposal from audit data.
CRM-lite for managing GEO agency prospects and clients.
Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findings, and prioritized actions
Generate a professional PDF report from a GEO audit using pandoc + Chrome headless.
Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
Technical SEO audit with GEO-specific checks — crawlability, indexability, security, performance, SSR, and AI crawler access
Free/open reverse engineering with Ghidra (headless or GUI): decompilation, cross-references, scripting, and optional Ghidra MCP workflows when IDA is unavailable.
Implement Git branching strategies, PR workflows, and release management patterns.
Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams.
Build, test, and deploy applications using GitHub Actions workflows.
Configure GitLab CI/CD pipelines and runners for automated building, testing, and deployment.
Reverse engineer stripped Go and Rust binaries: runtime recognition, pclntab/module metadata recovery, panic-string analysis, and idiomatic decompilation strategies.
Draft and explain persistent goal-loop prompts for long-running agent work with clear stop conditions.
Operate GPU-backed Kubernetes clusters for AI inference and training with scheduling, autoscaling, node health, MIG partitioning, and cost controls.
Set up and manage NVIDIA GPU servers for AI workloads
Delegate coding tasks to the Grok Build CLI only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
Authorized hardware and embedded interface security research: UART/JTAG discovery, debug-pad triage, secure-boot overview, and offline firmware analysis.
Manage secrets and PKI with HashiCorp Vault.
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