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.
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.
Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.
/tenant-overview
Tenant overview
Single-tenant Auvik snapshot - devices, alerts, networks, billing usage
/phishing-results
Phishing results
Phishing-simulation results and click-rate trend for a given window
/risk-report
Risk report
Human risk score report for one client or the whole portfolio, built from training completion and phishing-simulation performance
/training-status
Training status
Training completion snapshot for one client or the whole portfolio — completion rates, overdue users, and cadence status
/backup-health-check
Backup health check
Check backup health for one Axcient-protected device
/client-backup-overview
Client backup overview
Backup health overview across every device for one Axcient client
/azure-cost
Azure cost
Azure cost and pricing analysis for a subscription — Advisor cost recommendations, retail pricing lookups, and quota-driven right-sizing signals, scoped to one subscription
/azure-diagnostics
Azure diagnostics
Resource health and diagnostics triage for an Azure resource or subscription — Resource Health status, AppLens deep diagnostics, and Azure Monitor alert state
/backup-status
Backup status
Portfolio-wide backup job health snapshot - failure count, at-risk clients, and storage trends
/restore-check
Restore check
Restore-readiness check - has this actually been restore-tested, for one client or the whole portfolio
/retention-audit
Retention audit
Retention and RPO compliance audit against contracted requirements, for one client or the whole portfolio
/create-monitor
Create monitor
Create a new Better Stack uptime monitor
/incident-triage
Incident triage
Triage current Better Stack incidents
/monitor-status
Monitor status
Check all Better Stack monitor statuses and identify downtime
/search-logs
Search logs
Search logs via Better Stack Logtail
/status-page-update
Status page update
Update a Better Stack status page with current status or maintenance
/investigate-detection
Investigate detection
Investigate a single Blackpoint Cyber / CompassOne detection end-to-end
/partner-overview
Partner overview
Portfolio-level Blackpoint Cyber / CompassOne rollup of detections and exposure across all tenants
/search-detections
Search detections
List recent Blackpoint Cyber detections for a tenant
/tenant-exposure
Tenant exposure
Build a prioritized exposure report for a Blackpoint Cyber / CompassOne tenant
An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作
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