LLM Mart Basic
@llm-mart · Joined Jun 2026
Use this skill to classify an incoming Databricks task and route it to the narrowest owning specialist on the Databricks board. Classifies on intent, business context, artifact type, blast radius, required evidence, implied runtime authority, and specialist ownership; emits a sin
Use this skill to review machine-learning model lifecycle on Databricks: MLflow 3 with Unity Catalog as default registry, alias-based promotion and champion/challenger patterns, feature-store design with point-in-time correctness, Model Serving endpoint configuration and traffic
Use this skill to review Databricks account and workspace topology for scalability and Well-Architected alignment: metastore-per-region constraint, workspace segmentation ratios, serverless vs classic placement, catalog organisation, cross-region and cross-organisation access pat
Use this skill to diagnose and design platform reliability using system-table evidence, job and pipeline execution review, cluster policies, instance pools, quota headroom, and disaster-recovery posture: job timeouts and retries, run-history retention, managed DR design, incident
Use this skill to statically review SQL warehouse and query performance: warehouse type and sizing for concurrency, Photon and Predictive I/O applicability, three-tier caching semantics and when a cached result is misleading, query-profile reading for skew and spill, data layout
Use this skill to verify Structured Streaming query correctness and recovery: state-schema immutability, checkpoint compatibility across restarts, watermark semantics, trigger selection (AvailableNow, Once, ProcessingTime), exactly-once vs at-least-once sinks, foreachBatch idempo
Use this skill to review Unity Catalog governance design for privilege correctness, ownership clarity, and least-privilege enforcement: three-level namespace design, GRANT inheritance, ownership, workspace-catalog binding, governed tags, storage credentials, and audit completenes
Review Databricks Unity Catalog governance on Azure: three-level namespace design, GRANT privilege model, identity federation with Microsoft Entra ID, service principal posture, workspace-catalog binding, account/workspace/metastore admin separation, audit via system tables, and
Use this skill to decide whether a claimed Databricks business outcome is measurable, and only then to size it. Builds a value case from a named pain, a named executive owner, a pre-change baseline, a leading metric, a lagging business KPI, the required data, explicit attribution
Use this skill when reviewing a .NET Aspire AppHost or service-defaults project for cloud-native readiness — health checks on declared service dependencies, service dependency wiring, resiliency policies on outbound calls, configuration and secret hygiene, configuration drift bet
Use this skill when reviewing the architecture of an ASP.NET Core HTTP API — middleware ordering in the request pipeline, dependency-injection service lifetimes, CORS policy, model validation on bound input, API versioning, error and exception responses, rate limiting, and the bo
Use this skill when reviewing how an ASP.NET Core application authenticates and authorizes requests — authentication schemes, JWT TokenValidationParameters, cookie and session security, policy-based authorization, authorization handlers, claims trust, role-versus-resource authori
Use this skill when reviewing C# language and runtime correctness — nullable reference types, async/await, cancellation, disposal, allocations on hot paths, LINQ misuse, and Native AOT / trimming hazards. Trigger when a user provides C# source or project files and asks whether th
Use this skill when statically reviewing EF Core data access — DbContext lifetime and registration, N+1 query patterns, unbounded result sets, raw SQL injection surface, optimistic concurrency tokens, migration discipline, multi-tenant global query filters, and connection resilie
.NET Maestro routing skill. Classify the user's .NET task, select the narrowest specialist agent or the right team of specialists from the .NET board, and dispatch them — single specialist for focused tasks, parallel team (max 4) for multi-domain tasks. Trigger when a user brings
Use this skill when reviewing in-application OpenTelemetry wiring in an ASP.NET Core service — OpenTelemetry SDK registration, trace context propagation across service boundaries, structured logging, correlation and trace identifiers in logs, metrics instrumentation, trace sampli
Use this skill when reviewing .NET performance posture, Native AOT, and trimming readiness — reflection and serialization hazards, hot-path allocations, async overhead, caching, trim warnings, and benchmark discipline. Trigger when a user provides a .csproj with PublishAot or Pub
Use this skill when reviewing .NET CI/CD and NuGet supply-chain integrity — SDK pinning via global.json, package version pinning and lock files, Central Package Management, NuGet feed trust, fork-PR secret exposure, vulnerability scanning, and build reproducibility. Trigger when
Use this skill when statically reviewing .NET test suites for false confidence — assertion-free and tautological tests, over-mocking, coverage theater, weak test isolation, flaky patterns, and missing negative or security tests across xUnit, NUnit, and MSTest. Trigger when a user
Use this skill when reviewing Falco rules files, falco.yaml configuration, or runtime security posture for a Kubernetes workload. Trigger when a user provides Falco rules YAML, asks whether their Falco setup covers a specific threat, questions rule exception scope, or wants to va
Fourteen posts of being wrong in production, compressed to checkboxes
Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds
Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.
Every VM came back. The cluster did not. Declarative systems converge on config, and the datapath isn't config.
A surprising share of AI-in-the-terminal failures aren't the AI. They're zsh, and a version of bash from 2006.
A Claude Code plugin turns standalone project configuration into a namespaced, installable extension that teams and communities can update as one unit.
None of the safety came from the model. It came from six boring habits.
Skills package instructions and references. Subagents run work in a separate context and return results. They solve different problems and can be composed deliberately.
Six hours in, one step left, everything green, and the incident that didn't happen
CLAUDE.md carries persistent project context. Skills load reusable procedures when relevant. Separating stable facts from task-specific workflows keeps both easier to maintain.
Twenty minutes recovering secrets that never existed, and the one sentence from a human that ended it
An API request routing a model's tool call through an approval gate to a remote MCP server
31 config keys, two audits, and why the first one was wrong in both directions
The official MCP Registry stores standardized server metadata rather than package code. Publishers verify a namespace, describe installation or remote access, and submit immutable versions.
Everyone looks at the Dockerfile. The file that actually leaked the key was the project file.
Remote MCP authorization uses established OAuth standards, but secure integration still requires issuer validation, least-privilege scopes, protected token handling, and server-side enforcement.
"Copy it over and switch the reference" is two steps, and the outage lives in the one nobody checks
stdio fits local processes and prototypes. Streamable HTTP fits hosted services and shared integrations. The right choice follows where the capability runs and who must reach it.
The most important rule wasn't about what I could change. It was about what I was allowed to display.
Tools perform operations, resources expose readable context, and prompts provide reusable templates. Choosing the correct primitive makes an MCP server easier to understand and govern.
/implement-graphql-api
Implement graphql api
Implement GraphQL API endpoints
/init-project
Init project
Initialize new project with essential structure
/initref
Initref
Build reference documentation by creating markdown files and updating CLAUDE.md
/issue-to-linear-task
Issue to linear task
Convert GitHub issues to Linear tasks
/issue-triage
Issue triage
Triage and prioritize issues effectively
/linear-task-to-issue
Linear task to issue
Convert Linear tasks to GitHub issues
/load-llms-txt
Load llms txt
READ the llms.txt file from https://raw.githubusercontent.com/ethpandaops/xatu-data/refs/heads/master/llms.txt via `curl`. Do nothing else and await further instructions.
/log
Log
Log work from orchestrated tasks to external project management tools like Linear, Obsidian, Jira, or GitHub Issues.
/market-response-modeler
Market response modeler
Model customer and market responses with segment analysis, behavioral prediction, and response optimization.
/memory-spring-cleaning
Memory spring cleaning
Clean and organize project memory
/mermaid
Mermaid
Create entity relationship diagrams using Mermaid from SQL/database files
/migrate-to-typescript
Migrate to typescript
Migrate JavaScript project to TypeScript
/migration-assistant
Migration assistant
Assist with system migration planning
/migration-guide
Migration guide
Create migration guides for updates
/milestone-tracker
Milestone tracker
Track and monitor project milestone progress
/modernize-deps
Modernize deps
Update and modernize project dependencies
/move
Move
Move tasks between status folders following the task management protocol.
/optimize-build
Optimize build
Optimize build processes and speed
/optimize-bundle-size
Optimize bundle size
Reduce and optimize bundle sizes
/optimize-database-performance
Optimize database performance
Optimize database queries and performance
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