LLM Mart Basic

Investigate problem, verify findings, and derive solutions

Adjust an already-implemented UI in-session with verification against the design source

Execute materialized frontend task files in autonomous execution mode

Execute from repository evidence through applicable UI Spec and optional ADR decisions to complete frontend Design Doc approval

Create frontend work plan from design document and obtain plan approval

Design Doc compliance and security validation with optional auto-fixes

Execute materialized fullstack task files with layer-aware agent routing

Orchestrate full-cycle implementation across backend and frontend layers

Orchestrate the complete implementation lifecycle from requirements to deployment

Create work plan from design document and obtain plan approval

Design Doc compliance and security validation with optional auto-fixes

Update existing design documents (Design Doc / PRD / ADR) with review

Separates the outcome a change must produce from the requirements proposed to reach it, records what the user excluded, and bands cost from structure. Use when a requirement enters a workflow, before design begins.

Guides subagent coordination through implementation workflows. Use when orchestrating multiple agents, managing workflow phases, or determining autonomous execution mode.

Implements React/TypeScript unit, integration, and browser E2E tests with the repository's configured runner, mocks, setup, and browser harness. Use when creating or completing frontend tests and generated test skeletons.

Language-agnostic testing principles including TDD, test quality, coverage standards, and test design patterns. Use when writing tests, designing test strategies, or reviewing test quality.

React/TypeScript frontend development rules including type safety, component design, state management, and error handling. Use when implementing React components, TypeScript code, or frontend features.

Generates integration/E2E test skeletons from Design Doc ACs using ROI-based selection and journey-based E2E reservation. Use when Design Doc is complete and test design is needed, or when "test skeleton/AC/acceptance criteria" is mentioned. Behavior-first approach for minimal te

Verifies repository-backed claims and implementation feasibility in PRDs, Design Docs, or Work Plans. Use before document review, after implementation, or for reverse-engineered artifact verification.

Collects compact repository evidence for scope confirmation, technical option selection, complete design, and verification. Use before Design Doc creation when repository facts can change scope, reuse, contracts, cost, or proof.

A green PR, a controller reporting success, and not one line of the new code running

Update implementation documentation including specs, status, and best practices

Use structured stepper approach for problem-solving and project development

Write unit and integration tests

Developer agent — implements features based on technical design, follows TDD patterns, and produces clean, tested code

Autonomous iteration loop — reads progress, selects role, executes, verifies, commits, and moves to next task without waiting

Pair programming mode — step-by-step collaboration with 5 confirmation checkpoints for learning and sensitive operations

Product Manager agent — analyzes requirements, creates REQ documents, and breaks down features into actionable items

Configure claude-hud as your Claude Code statusline

Grade this repo's CLAUDE.md / AGENTS.md (0–100) and return a worst-first fix list

Scaffold a CLAUDE.md for this repo from battle-tested templates, filled in with the project's real commands

Prompt optimizer — rewrite this request into an optimized prompt (ultrathink), then carry it out

Configure codex-hud statusline display options (guided interactive flow)

Show last 30 days Codex cost breakdown

Show today's Codex cost breakdown

Show last 7 days Codex cost breakdown

Configure or update the OpenAI Admin API key (enables /codex-hud:costs-*)

Install codex-hud statusline (automatic, idempotent)

Quick one-line summary of today's Codex activity (cost shown if Admin key configured)

Remove the codex-hud statusline integration (restores your previous statusline)

Показать состояние гейта качества 1С — какие файлы ждут проверки

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.