Explore AI Agent Skills & Claude Prompts

Use this when: set up an SMB or NFS share, my ZFS pool shows errors, automate dataset snapshots, replicate data to another NAS, fix dataset permissions for Docker containers, my share is not accessible, migrate TrueNAS CORE to SCALE, tune storage for media or databases, add a cloud backup destination, my disk is failing, expand or replace a drive in the pool, set up offsite replication, TrueNAS, ZFS, ix-applications, SCALE 24.10, docker on TrueNAS, pool health check, dataset record size, NAS API, container bind mount permissions

arbitrage-audit

Use this when: audit my business model for AI risk, where is my value at risk from AI, which parts of my business does AI threaten, arbitrage gap analysis, how durable is my competitive advantage, AI compression of my market, is my business model AI-proof, what gaps am I depending on, competitive moat analysis, where AI will eat my margin, assess my business against AI disruption, what happens to my business when AI improves, am I on the right side of AI disruption, strategic AI risk assessment

r8-analyzer

Analyzes Android build files and R8 keep rules to identify redundancies, broad package-wide rules, and rules that subsume library consumer keep rules. Use when developers want to optimize their app's size, remove redundant or overly broad keep rules, or troubleshoot Proguard configurations.

llm-inference-stack

Use this when: run a model locally, which model fits my GPU, my inference is too slow, serve LLM in production, how to quantize a model, too many concurrent users, self-host an AI, set up Ollama, vLLM vs Ollama, route between multiple models, VRAM out of memory, model won't load, tokens per second too low, pick a quantization format, LiteLLM gateway setup, what model fits 8GB VRAM, OpenAI-compatible local endpoint

karpathy-metric-pre

Use this when: red-team my optimization metric, find ways to game my metric, metric pre-mortem, adversarial metric evaluation, gaming vectors for my KPI, what could an agent exploit in my metric, metric failure modes, proxy divergence risk, eval contamination, silent degradation from optimization, metric gaming pre-mortem, is my metric robust enough for auto-improvement, build secondary metrics, evaluation diversity plan, metric countermeasures, what does overfitting look like in my system, holdout scenario design, disappearance test, metric gaming attack surface, is my metric gameable, optimization agent failure modes, what could go wrong with my eval, unsupervised optimization risk, metric red team

karpathy-trace-infrastructure

Use this when: audit my agent observability, do I have enough logging for auto-improvement, trace infrastructure readiness, can a meta-agent read my agent's reasoning, agent trace audit, do I have full reasoning traces, tool call logging, decision point visibility, structured trace format, session reproducibility for agents, agent harness version control, baseline snapshots for optimization, failure classification in traces, cost and latency tracking per agent step, sandboxed execution environment, agent evaluation harness, LangSmith setup, Braintrust setup, Arize setup, am I logging enough for a meta-agent, what traces does auto-improvement need, agent observability gaps, trace infrastructure gaps, auto-improvement infrastructure readiness, meta-agent trace requirements, agent replay from logs, is my logging sufficient for optimization loop

karpathy-triplet-diag

Use this when: am I ready for auto-improvement, is my system ready for the Karpathy Loop, can I run autoresearch on this, evaluate auto-improvement readiness, define the editable surface, define the optimization metric, define the experiment time budget, write a program.md spec, build a program.md, optimization target spec, agent loop readiness, can an agent optimize this, is my pipeline ready for autoresearch, surface metric budget triplet, blocker report for auto-improvement, what's blocking my autoresearch loop, scope an optimization target, can I hand this to an agent loop, is this system loop-ready

homelab-commander

Universal homelab infrastructure specialist. Docker self-hosting, TrueNAS ZFS operations, Proxmox VM/LXC management, K3s Kubernetes with FluxCD, 3-2-1 backup strategy, blue-green deployments, internal DNS (Pi-hole/Technitium), VLAN design, Home Assistant + MQTT, and cross-platform migration planning.

proxmox-k3s-infra

Use this when: set up a homelab Kubernetes cluster, create a VM from a template, my K3s node won't join, set up GPU passthrough, automate VM provisioning with cloud-init, my IOMMU groups are wrong, back up VMs automatically, install K3s on a new node, deploy persistent workloads in Kubernetes, manage LXC containers, rebuild infrastructure from code, set up GitOps for my cluster, Proxmox, K3s, FluxCD, ArgoCD, Helm, Longhorn, PBS, Terraform proxmox, VLAN design, Ceph vs NFS, MetalLB, NVIDIA passthrough, ACS override

career-gap-map

Use this when: audit my career for AI risk, is my job at risk from AI, which of my skills are AI-proof, am I on the right side of AI disruption, career strategy for AI era, future-proof my career, what skills should I develop, is my role being automated, AI impact on my job, career gap analysis, where should I focus my skills, what do I do with AI time savings, am I using AI correctly in my career, career migration plan, am I riding a closing gap, how do I stay relevant, reskill for AI, career readiness assessment

orchestration-scaffold

Use this when: scaffold a local AI orchestration stack, set up LangGraph supervisor, connect Ollama to OpenCode, configure MCP servers for agent tools, wire OpenCode as the developer interface for a multi-agent system, set up A2A protocol between LangGraph and OpenCode, configure VS Code for agent development, orchestration stack on TrueNAS / Docker Compose homelab, choose between AG2 and CrewAI sub-frameworks, set up agent harness with PreToolUse hooks, define SLIs for an AI orchestration stack, design generator-evaluator pattern for agent output, local inference routing with Qwen3 or Mistral Small.

schedule Updated 24 days ago

docker-selfhost

Use this when: set up a self-hosted service, my container keeps restarting, add HTTPS to a container, connect containers to each other, set up a reverse proxy, my volumes are not persisting, migrate a stack to a new server, expose a service to the internet, back up container data, deploy on TrueNAS, run multiple services on one host, containers can't reach each other, Docker, Traefik, Cloudflare Tunnel