LLM Mart Basic
@llm-mart · Joined Jun 2026
Modern CLI development combining oclif's command framework with Ink's React-based terminal rendering
Beautiful interactive CLI prompts with @clack/prompts and custom prompts with @clack/core
Tauri 2.x Rust command patterns, state management, error handling, events, channels, testing
Type-safe Electron IPC patterns with typed channels, electron-trpc, MessagePort, and utility process communication
Tauri 2.x mobile development - iOS via WKWebView, Android via Android WebView, mobile plugins, Swift/Kotlin native code, permissions, debugging
Multi-window management, WebContentsView, BaseWindow, window lifecycle, inter-window communication, state persistence
Tauri 2.x multi-window creation, event system, window state persistence, parent/child and modal windows
Electron Forge build toolchain -- makers, publishers, code signing, fuses, hooks, CI/CD packaging
Tauri 2.x bundling, code signing, auto-updater, platform installers, CI/CD
Tauri 2.x official plugin ecosystem, plugin APIs, permissions, and custom plugin development
Tauri 2.x deny-by-default security model, capabilities, permissions, scopes, ACL
Persistent storage, SQLite databases, and credential management in Electron apps
E2E testing with Playwright, main process unit testing, IPC testing, dialog/menu mocking, CI headless setup
Cross-platform auto-update patterns with electron-updater (electron-builder ecosystem)
GitHub Actions, pipelines, deployment
Turborepo CI pipelines with remote caching and affected detection
Environment configuration, Zod validation
Kubernetes manifests, Helm charts, Kustomize overlays, and resource patterns
TypeScript-native Infrastructure as Code with Pulumi
SST (Ion) infrastructure-as-code — TypeScript-first serverless on AWS with Pulumi, resource linking, and live Lambda dev
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
Persistent session memory for AI coding agents — local-first, with on-device inference, associative recall, and drift detection. Works with Claude Code, Cursor,…
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