LLM Mart Basic
@llm-mart · Joined Jun 2026
Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage.
Use when integrating Google Gemini API into projects. Covers model selection, multimodal inputs, streaming, function calling, and production best practices.
Run autonomous multi-step research with Google's Gemini Deep Research Agent: kick off a query, poll progress, and collect a cited report for market analysis or literature reviews.
Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), native audio features, function calling, session management, ephemeral tokens for client-side
Use this skill for generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the official google-genai SDK. Includes workflows for pre-processing/optimizing high-resolution or long source videos with ffmpeg,..
Generate a concise and structured PR description from commit history with minimal token usage
Safely stage, commit, and push intended git changes with conventional commit messages. Use for ordinary non-release pushes when explicitly asked to push, save work remotely, or share a completed change.
Use the `gh` CLI for issues, pull requests, Actions runs, and GitHub API queries.
Complete guide to implementing GitOps workflows with ArgoCD and Flux for automated Kubernetes deployments.
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.
Go in depth harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.
Master Godot 4 GDScript patterns including signals, scenes, state machines, and optimization. Use when building Godot games, implementing game systems, or learning GDScript best practices.
Master Go 1.21+ with modern patterns, advanced concurrency, performance optimization, and production-ready microservices.
Automate Google Analytics tasks via Rube MCP (Composio): run reports, list accounts/properties, funnels, pivots, key events. Always search tools first for current schemas.
Lightweight Google Calendar integration with standalone OAuth authentication. No MCP server required.
Lightweight Google Drive integration with standalone OAuth authentication. No MCP server required. Full read/write access.
GraphQL gives clients exactly the data they need - no more, no
A relentless interview to sharpen a plan or design.
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
Interview the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.
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.
Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.
Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.
An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.
/speckit.analyze
Speckit.analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
/speckit.checklist
Speckit.checklist
Generate a custom checklist for the current feature based on user requirements.
/speckit.clarify
Speckit.clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
/speckit.constitution
Speckit.constitution
Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.
/speckit.implement
Speckit.implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md
/speckit.plan
Speckit.plan
Execute the implementation planning workflow using the plan template to generate design artifacts.
/speckit.specify
Speckit.specify
Create or update the feature specification from a natural language feature description.
/speckit.tasks
Speckit.tasks
Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
/speckit.taskstoissues
Speckit.taskstoissues
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
/cancel
Cancel
Cancel active execution loop and cleanup state
/implement
Implement
Start task execution loop
/start
Start
Smart entry point for new features with auto ID and branch management
/status
Status
Show current feature status and progress
/switch
Switch
Switch active feature
/cancel
Cancel
Cancel active execution safely and optionally remove the spec
/design
Design
Generate technical design from requirements
/feedback
Feedback
Submit feedback or report an issue for Ralph Specum plugin.
/help
Help
Show help for Ralph Specum plugin commands and workflow.
/implement
Implement
Start task execution loop
/index
Index
Index codebase components and external resources into searchable specs
Make any song you can imagine
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