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.
/lit-review
lit-review
Run a systematic, reproducible literature review on a topic and return an APA 7.0 annotated bibliography with a documented search strategy. Invokes the alterlab-deep-research pipeline in lit-review mode.
/review-paper
review-paper
Run a full multi-perspective peer review of a manuscript, simulating an Editor-in-Chief plus three peer reviewers and a Devil's Advocate, and produce a structured editorial decision and revision roadmap. Invokes the alterlab-paper-reviewer skill.
/research-pipeline
research-pipeline
Orchestrate the end-to-end academic research-to-publication workflow (research, write, integrity check, review, revise, re-review, finalize) with mandatory integrity gates and two-stage peer review. Invokes the alterlab-research-pipeline orchestrator.
/audit-infra
Audit infra
Infrastructure-first security audit — secrets, supply chain, CI/CD, LLM/skill security, OWASP, STRIDE. Complements /audit-solana (program-level)
/audit-solana
Audit solana
Security audit for Solana programs (Anchor/native)
/benchmark
Benchmark
Benchmark CU usage and compare against baseline for regression detection
/build-app
Build app
Build web client application (Next.js, React, Vite)
/build-program
Build program
Build Solana program (Anchor or native)
/build-unity
Build unity
Build Unity project (WebGL, Desktop, or PSG1)
/cleanup
Cleanup
Initialize forked template — setup CLAUDE.md and remove config repo scaffolding
/commit-claude-config
Commit claude config
Version the Solana AI Kit config in git (un-ignores .claude/, CLAUDE.md, .mcp.json, .gitmodules and commits them)
/debug-user-tx
Debug user tx
Reproduce and debug a user-reported failing transaction against forked cluster state, mapping the failure back to source code
/deploy
Deploy
Deploy Solana program (devnet first, then mainnet)
/diff-review
Diff review
AI-powered diff review for Solana-specific issues and code quality
/doctor
Doctor
Health check for the dev environment and solana-ai-kit config — read-only, with one exact fix-it command per failure
/dream
Dream
Memory consolidation — dedupe, contradiction-check, prune, and re-rank MEMORY.md + CLAUDE.md Project Learnings. Run after major refactors
/explain-code
Explain code
Explain complex Solana/blockchain code with visual diagrams and step-by-step breakdowns
/generate-idl-client
Generate idl client
Generate TypeScript client from Solana program IDL using Codama or Anchor
/migrate-web3
Migrate web3
Migrate from @solana/web3.js to @solana/kit
/plan-feature
Plan feature
Plan feature implementation with technical specifications for Solana projects
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8 views 0 likesDrive the Unity Editor from an AI agent or the terminal. The Editor serves MCP itself over HTTP, so there is no second process to run, and the isuzu-unity-cli c…
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10 views 0 likesAn Enterprise-Grade Full-Stack RBAC Permission Management System Built with Go + React
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9 views 0 likes基于 DeepSeek Harness(DSH)的稳定桌面端,集成Git、内置浏览器与记忆功能 | DeepSeek Harness desktop GUI with local workspaces, Git, browser and memory.
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2 views 0 likesOpen-source CLI, schemas, resolver, and DSH agent tools for DSH Plugin Hub
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1 views 0 likesSelf-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendl…
4 views 0 likesSelf-hosted, vendor-neutral control plane for your local coding agents (Claude Code & Codex). Run your agents, on any plane.
2 views 0 likesA practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and…
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2 views 0 likesStatic security scanner for LLM agents — prompt injection, MCP config auditing, taint analysis. 51 rules mapped to OWASP Agentic Top 10 (2026). Works with LangC…
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