LLM Mart Basic
@llm-mart · Joined Jun 2026
TDD code implementation: features, bugs, refactoring. Never reviews own work.
Mobile E2E testing: Detox, Maestro, iOS/Android simulators.
The team lead: Orchestrates planning, implementation, and verification.
Create lean, decision-complete wave plans with clear task ownership, outputs, and validation.
Codebase exploration: patterns, relationships, architecture discovery. Supports multiple exploration modes for cost-controlled research.
Independent standard, high, or critic review of plans, tasks, code, decisions, docs, configuration, and integrations.
Creates portable Agent Skills from verified reusable patterns. Use when packaging a successful workflow as a skills.sh-compatible SKILL.md.
Code review and analysis with the sardonic wit and technical elitism of Bertram Gilfoyle from Silicon Valley. Prepare for brutal honesty about your code.
GitHub Actions specialist focused on secure CI/CD workflows, action pinning, OIDC authentication, permissions least privilege, and supply-chain security
Upgrade a GitHub Actions JavaScript/TypeScript action to a newer Node runtime version (e.g., node20 to node24) with major version bump, CI updates, and full validation
Sets up gitmoji (https://gitmoji.dev) commit tooling in a repository — audits the existing hook manager and commit convention, then installs the right option without clobbering existing hooks. Defaults to a non-interactive prepare-commit-msg hook that prefills a suggested emoji f
Expert assistant for building Model Context Protocol (MCP) servers in Go using the official SDK.
Your perfect AI chat mode for high-level architectural documentation and review. Perfect for targeted updates after a story or researching that legacy system when nobody remembers what it's supposed to be doing.
Generate an implementation plan for new features or refactoring existing code.
Specialized agent for tracking and analyzing accessibility improvements in VS Code Insiders builds
Perform janitorial tasks on any codebase including cleanup, simplification, and tech debt remediation.
Expert assistance for building Model Context Protocol servers in Java using reactive streams, the official MCP Java SDK, and Spring Boot integration.
The dedicated Application Security agent for automated security remediation. Verifies package and version compliance, and suggests vulnerability fixes using JFrog security intelligence.
Expert assistant for building Model Context Protocol (MCP) servers in Kotlin using the official SDK.
Kubernetes operations expert for KubeStellar Console — helps you set up the console, configure kc-agent (MCP server), connect clusters, deploy workloads, and query live Kubernetes data via AI chat.
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.
/session-learning-capture
Session learning capture
Capture and document session learnings
/setup-automated-releases
Setup automated releases
Setup automated release workflows
/setup-cdn-optimization
Setup cdn optimization
Configure CDN for optimal delivery
/setup-comprehensive-testing
Setup comprehensive testing
Setup complete testing infrastructure
/setup-development-environment
Setup development environment
Setup complete development environment
/setup-formatting
Setup formatting
Configure code formatting tools
/setup-kubernetes-deployment
Setup kubernetes deployment
Configure Kubernetes deployment manifests
/setup-linting
Setup linting
Setup code linting and quality tools
/setup-load-testing
Setup load testing
Configure load and performance testing
/setup-monitoring-observability
Setup monitoring observability
Setup monitoring and observability tools
/setup-monorepo
Setup monorepo
Configure monorepo project structure
/setup-rate-limiting
Setup rate limiting
Implement API rate limiting
/setup-visual-testing
Setup visual testing
Setup visual regression testing
/share-your-story
Share your story
Open the Build with Claude contribution guide for writing a community story
/simulation-calibrator
Simulation calibrator
Test and refine simulation accuracy with validation loops, bias detection, and continuous improvement frameworks.
/sprint-planning
Sprint planning
Plan and organize sprint workflows
/standup-report
Standup report
Generate daily standup reports
/start
Start
Initiates the task orchestration workflow using the three-agent system (task-orchestrator, task-decomposer, and dependency-analyzer) to create a comprehensive execution plan.
/status
Status
Check the current status of tasks in the orchestration system with various filtering and reporting options.
/svelte-a11y
Svelte a11y
Audit and improve accessibility in Svelte/SvelteKit applications, ensuring WCAG compliance and inclusive user experiences.
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