LLM Mart Basic

Our expert AI assistant for debugging code (O11y), optimizing vector search (RAG), and remediating security threats using live Elastic data.

Code Review Mode tailored for Electron app with Node.js backend (main), Angular frontend (render), and native integration layer (e.g., AppleScript, shell, or native tooling). Services in other repos are not reviewed here.

An AI partner, not an assistant. Ember carries fire from person to person — helping humans discover that AI partnership isn't something you learn, it's something you find.

Provide expert C++ software engineering guidance using modern C++ and industry best practices.

Provide expert .NET software engineering guidance using modern software design patterns.

Expert embedded C guidance for safety-critical systems — covers MISRA C:2012/2025 rule compliance, CERT C secure coding, static analysis tooling (Coverity, QAC, PC-lint), and defensive programming patterns that frontier models do not handle reliably by default.

Expert Next.js 16 developer specializing in App Router, Server Components, Cache Components, Turbopack, and modern React patterns with TypeScript

Expert React 19.2 frontend engineer specializing in modern hooks, Server Components, Actions, TypeScript, and performance optimization

Runtime web-performance specialist for diagnosing Core Web Vitals, Lighthouse regressions, layout shifts, long tasks, and slow network paths with Chrome DevTools MCP.

E2E browser testing, UI/UX validation, visual regression.

Refactoring specialist: removes dead code, reduces complexity, consolidates duplicates.

Root-cause analysis, stack trace diagnosis, regression bisection, error reproduction.

UI/UX design specialist: layouts, themes, color schemes, design systems, accessibility.

Infrastructure deployment, CI/CD pipelines, container management.

Technical documentation, README files, API docs, diagrams, walkthroughs.

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.

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.

Add remote HTTP or local stdio MCP servers to Claude Code, choose the right scope, protect credentials, verify the connection, and test with least privilege.

Skills teach Claude a repeatable method, connectors provide governed access to apps and live data, and plugins package related capabilities for installation and sharing.

Use an agent skill to package reusable know-how and workflow instructions. Use an MCP server when an agent needs live, governed access to external data or actions.

Custom commands and skills can both create a slash-invoked workflow in Claude Code. The important choice is how the workflow is discovered, shared, and permissioned.

A useful Claude skill solves one recurring engineering job, is easy to inspect, and saves more time than it creates in setup and review.

Claude skills can live in your Claude account, your local Claude Code setup, or a repository. Install them where the sessions that need them can load them.

Build a portable AI agent skill from one repeatable job: a precise description, concise instructions, focused resources, and tests that prove it works.

AI agent skills package instructions, scripts, references, and templates into portable folders an agent loads only when the task calls for them.

AI made publishing cheap, which is exactly the problem. What separates a page worth ranking from a competent summary of the first ten results.

A prompt that works once isn't a quality system. Five cases, an observable rubric, and a regression set will tell you whether a change helped.

One character of YAML, four pods that never started, and two safety nets I didn't know were holding. Every restart is an audit. Schedule them before they schedule you.

"Verify your work" isn't an instruction. It's a mood. Here's the version that's an instruction. Verify with a different mechanism than the one that made the claim.

A prompt that works once may still fail in production. A lightweight eval set gives you repeatable cases, a clear rubric, and a way to see whether a prompt change actually improved the workflow.

The best AI tool is not the one with the longest feature list. It is the one that solves a defined job reliably, fits the workflow, handles data appropriately, and remains useful after the novelty wears off.

Use AI to speed research without losing trust. Learn to find primary sources, verify claims, preserve uncertainty, and keep an auditable source trail.

Better prompts aren't magic wording. They're short briefs that hand the model a task, the context it can't infer, the limits, and a quality bar.

Options Foundations — options and derivatives analysis

Technical Execution — options and derivatives analysis

Volatility Trading — options and derivatives analysis

Long Short Equity — portfolio strategy analysis

Portfolio Hedging — portfolio strategy analysis

Position Sizing — portfolio strategy analysis

Dividend Discount Model — multi-stage DDM for mature dividend payers and financials

PEG valuation — P/E ÷ Growth Rate with Peter Lynch thresholds and sector comparison

Financial ratio analysis — 24 ratios across 6 categories with cross-company comparison

Residual Income / EVA — Book Value + PV of future economic profit for banks and insurers

Reverse DCF — solve for implied growth rate/margins from current price

agentii.challenge — the spec 046 kit command. Use the Skill tool to run agentii:challenge on this workspace.

agentii.clarify — the spec 046 kit command. Use the Skill tool to run agentii:clarify on this workspace.

agentii.constitution — the spec 046 kit command. Use the Skill tool to run agentii:constitution on this workspace.

agentii.converge — the spec 046 kit command. Use the Skill tool to run agentii:converge on this workspace.

agentii.implement — the spec 046 kit command. Use the Skill tool to run agentii:implement on this workspace.

agentii.plan — the spec 046 kit command. Use the Skill tool to run agentii:plan on this workspace.

agentii.specify — the spec 046 kit command. Use the Skill tool to run agentii:specify on this workspace.

agentii.tasks — the spec 046 kit command. Use the Skill tool to run agentii:tasks on this workspace.

Drive a PR to merge — rebase, fix CI, resolve review comments, update title/description, merge when green

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.