Byte Cloud Consulting
Official@Cloud-Byte-Consulting
Byte Cloud Consulting provides 99 skills for platform engineering, Azure DevOps CI/CD, GPU Kubernetes operations, and AI-agent governance and evaluation.
Agent Skills by Byte Cloud Consulting
Showing 98 vetted skills indexed across 1 GitHub repositories.
Cloud-Byte-Consultingopen-loop-audit
Audit open loops and classify tasks by delegation readiness before automating work.
Cloud-Byte-Consultingknowledge-base-drift-auditor
Audit knowledge bases for contradictions, drift, staleness, and coverage gaps.
Cloud-Byte-Consultingrecurring-task-automator
Designs scheduled task specifications with prompts, connectors, and monitoring criteria for recurring automations.
Cloud-Byte-Consultingwhich-ai-should-you-open-first
Recommend which AI tool tier to open for a task with an output-checking plan.
Cloud-Byte-Consultingagent-extension-decision-tree
Classifies workflows into prompt, skill, plugin, or MCP packaging paths.
Cloud-Byte-Consultingdispatch-delegation-brief
Generates structured delegation briefs for handing tasks to unsupervised agents.
Cloud-Byte-Consultingconsumer-ai-investment-thesis
Evaluate consumer AI companies against structural breakthrough paths and risk frameworks.
Cloud-Byte-Consultingknowledge-architecture-advisor
Diagnose knowledge management needs and recommend wiki, database, or hybrid architectures.
Cloud-Byte-Consultingfind-model-fit-conversational
Interviews users about work habits to recommend a fitting AI model family.
Cloud-Byte-Consultingaction-surface-audit
Map agent actions into risk tiers and prioritize judge boundaries.
Cloud-Byte-Consultingdark-code-audit
Diagnose dark code accumulation in AI-generated codebases and produce a prioritized risk assessment.
Cloud-Byte-Consultingwiki-schema-editorial-policy-designer
Designs a wiki schema and editorial policy document for AI-maintained knowledge bases.
Cloud-Byte-Consultingcontext-layer-generator
Generate module manifests, behavioral contracts, and decision logs through a structured interview.
Cloud-Byte-Consultingjudge-evaluation-suite-generator
Generate allow, block, revise, and escalate test cases for an agent judge.
Cloud-Byte-Consultingfind-model-fit-quick
Recommends one AI model family from a single user-written paragraph.
Cloud-Byte-Consultinglife-engine-setup
Configure a recurring personal briefing assistant over Telegram or Discord with Supabase.
Cloud-Byte-Consultinghybrid-knowledge-architecture-blueprint
Design a hybrid wiki and structured database knowledge system with schemas and update workflows.
Cloud-Byte-Consultingjudge-architecture-reviewer
Review an agent system's judge architecture and produce a prioritized remediation roadmap.
Cloud-Byte-Consultingpretty-but-wrong-detector
Audit polished decks and workbooks for unsupported claims and formula errors.
Cloud-Byte-Consultingexplanation-artifact-builder
Interview builders and generate four-section explanation artifacts for shipped projects.
Cloud-Byte-Consultingworkflow-packaging-audit
Audit repeated agent workflows to decide whether to package them as prompts, skills, or plugins.
Cloud-Byte-Consultingpersonal-delegation-audit
Audit personal workloads and match delegation candidates to current AI tools.
Cloud-Byte-Consultingoffice-file-truth-setup
Organizes messy source material into a verified truth layer before creating workbooks or decks.
Cloud-Byte-Consultingworkbook-doctor
Audit inherited or AI-generated Excel workbooks for structural, formula, and assumption risks.
Frequently Asked Questions About Byte Cloud Consulting
FAQPage SchemaWhat tasks can I accomplish with Byte Cloud Consulting's skills?▼
You can assess platform and agentic maturity, design Internal Developer Portals and golden paths, run Azure DevOps CI/CD discovery and modernization, operate GPU Kubernetes clusters with Ray, build LLM evaluation and judge systems, and govern AI agents with identity, security playbooks, and trust auditing.
Who are these skills designed for?▼
Platform engineers, DevOps and SRE teams, ML infrastructure engineers, security and compliance leads, and engineering leadership. Several skills also target FinOps practitioners measuring GPU and platform ROI, plus executives needing evidence-backed maturity reports and investment briefs.
How do the Azure DevOps skills work in practice?▼
The ado-sdlc-discovery skill runs read-only inventory via Azure CLI and the azure-devops extension, using Azure DevOps MCP for gaps. Downstream skills then assess SDLC maturity, design governed pipeline architecture, run adversarial PR reviews, and produce Wiki-ready Mermaid diagrams with a 30/60/90 roadmap.
What prerequisites do the GPU Kubernetes skills require?▼
A running Kubernetes cluster with NVIDIA GPUs and the device plugin installed. Skills assume kubectl access and cover KubeRay, KEDA, DCGM metrics, Kubecost/OpenCost, and JupyterHub. Security baselining targets managed clusters using CIS sections 4-5 under shared responsibility.
How do the agent governance skills ensure safe AI-agent operation?▼
They provide layered verification: agent-trust-auditor designs actor/judge separation with allow-block-revise-escalate outcomes, agent-identity-engineer implements SPIFFE/SPIRE and OAuth2 scoped credentials, and platform-security-playbook delivers compliance controls for SOX, GDPR, FedRAMP, NIS2, and DORA.