LLM Mart Basic

Готовит материалы к налоговому периоду — расчёт авансового платежа по УСН, учёт выплат подрядчикам (ГПХ/самозанятым), страховые взносы ИП «за себя» или предупреждение про НДС на УСН — и собирает пакет для передачи бухгалтеру. Принимает необязательные аргументы режима и года. Кома

Готовит материалы к налоговому периоду для собственников малого бизнеса на УСН и НПД: это пакет для бухгалтера, а не налоговая консультация. Четыре режима: авансовый платёж по УСН (доходы нарастающим итогом, ставка объекта «Доходы» 6% или «Доходы минус расходы» 15%, минимальный н

Читает пересланное письмо или обращение клиента, подтягивает статус заказа и оплаты из платежей и историю клиента из CRM, готовит ответ в тоне и голосе владельца, а при необходимости — оформляет возврат с явным подтверждением владельца. Триггеры: «подготовь ответ», «ответь этому

生成 B 站创作者「黑鸦」风格的视频标题：长标题、强情绪、多事件合并。适用于用户要求黑鸦风格，或希望把新闻、科技、游戏、娱乐等内容改写成有冲击力的中文标题。

Darwin Skill 2.0 (达尔文.skill 2.0): autonomous skill optimizer, v2.0 integrates Microsoft Research SkillLens (arXiv 2605.23899) 9-dim rubric + SkillOpt (arXiv 2605.23904) validation-gated design + human-in-the-loop checkpoints. Evaluates SKILL.md files using a 9-dimension rubric (s

Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abst…

Audit a site's Cross-Origin Resource Sharing (CORS) configuration for misconfigurations — wildcard origin with credentials, reflected arbitrary Origin, the 'null' origin, overly broad allowed methods, and risky credentialed CORS. Use when the user asks to "check my CORS config",

Audit project dependencies for known-vulnerable versions and risky pinning. Parses requirements.txt and package.json, matches a bundled offline advisory DB, optionally queries OSV.dev live, and warns about unpinned versions. Use when the user asks to "check dependencies for vulne

Audit a website's HTTP security headers and cookie flags — CSP, HSTS, X-Frame-Options, X-Content-Type-Options, Referrer-Policy, Permissions-Policy, COOP/COEP, version-leaking banners, and Secure/HttpOnly/SameSite cookies. Use when the user asks to "check my site's security header

Decode and security-audit a JSON Web Token — flag alg=none, missing/excessive expiry, symmetric-alg confusion risk, missing claims — and attempt an offline HMAC secret crack against a wordlist to detect weak signing keys. Use when the user asks to "decode this JWT", "is this toke

Static security analysis for Python source via AST walking — finds command injection, insecure deserialization, eval/exec, weak crypto, SQL injection, disabled TLS verification, hardcoded secrets and more, each tagged with a CWE. Use when the user asks to "audit this code for vul

Start robotics apps or demos from compatible examples for mapping/navigation, robot assistants, or pretrained manipulation. Choose a stack if none fits; not existing-app maintenance.

Deploy and debug headless robotics containers on Google Cloud Run.

Choose and structure training data for robot-learning projects.

Set up reproducible robotics environments with uv, Docker, or GPU hosts.

Visualize live or recorded ROS robot data remotely with Foxglove or Lichtblick.

Build and debug modern Gazebo simulations and their ROS 2 boundary.

Integrate and debug Gemini Robotics ER perception, function calls, and guarded execution. For a first natural-language robot assistant demo, start with architect's reference-app selection.

Inspect and manage robotics datasets, models, Jobs, and Spaces on Hugging Face.

Wire robotics modules with ROS 2 interfaces, Docker Compose, or non-ROS transports.

Fourteen posts of being wrong in production, compressed to checkboxes

Healthy nodes, a quiet network, 300 restarts in three days, and a latency budget measured in milliseconds

Discovery worked. Ping worked. Every TCP connection timed out, and later the tunnel only worked when someone had a terminal open.

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.

Create new Svelte components with best practices, proper structure, and optional TypeScript support.

Help debug Svelte and SvelteKit issues by analyzing error messages, stack traces, and common problems.

Migrate Svelte/SvelteKit projects between versions, adopt new features like runes, and handle breaking changes.

Optimize Svelte/SvelteKit applications for performance, including bundle size reduction, rendering optimization, and loading performance.

Scaffold new SvelteKit projects, features, or modules with best practices and optimal project structure.

Migrate Storybook configurations and stories to newer versions, including Svelte CSF v5 and @storybook/sveltekit framework.

Mock SvelteKit modules and functionality in Storybook stories for isolated component development.

Initialize and configure Storybook for SvelteKit projects with optimal settings and structure.

Create comprehensive Storybook stories for Svelte components using modern patterns and best practices.

Diagnose and fix common Storybook issues in SvelteKit projects, including build errors, module problems, and configuration issues.

General-purpose Storybook assistance for SvelteKit projects, including setup guidance, best practices, and common tasks.

Analyze test coverage, identify testing gaps, and provide recommendations for improving test coverage in Svelte/SvelteKit projects.

Troubleshoot and fix failing tests in Svelte/SvelteKit projects, including debugging test issues and resolving common testing problems.

Set up comprehensive testing infrastructure for Svelte/SvelteKit projects, including unit testing, component testing, and E2E testing frameworks.

Create comprehensive tests for Svelte components and SvelteKit routes, including unit tests, component tests, and E2E tests.

Setup automated synchronization workflows

Resolve synchronization conflicts automatically

Sync GitHub issues to Linear workspace

Sync Linear tasks to GitHub issues

Link pull requests to Linear tasks

Conduit — native SwiftUI iOS client for Hermes Agent

一个现代化的可视化规则引擎平台，用于编排复杂的 AI 工作流。在无限画布上设计、测试和部署 AI 流程——无需编写代码。结合 flowgram.ai 的能力与 Java 服务端，提供生产级工作流管理。在此之上提供AI Agent / Copilot的助手编排能力。

Job application tracker and AI-powered job search assistant. Helps job seekers manage their search journey with AI resume review, job matching, task logging, an…

📝 Markdown and HTML renderer for Svelte 5 — built for streaming AI agent output from Claude Code, ChatGPT, and agentic workflows. XSS-safe defaults, token cach…

ServiceNow MCP server: 500+ tools and 26 AI capabilities for any AI (Claude, ChatGPT, Gemini, Cursor, Copilot). Multi-transport (stdio, SSE, HTTP), A2A, dynamic…

Free crypto news API - real-time aggregator for Bitcoin, Ethereum, DeFi, Solana & altcoins. No API key required. RSS/Atom feeds, JSON REST API, historical archi…

Build production-ready AI agents in both Python and Typescript.

From agent user to agent builder: build a Claude Code-style coding agent from scratch in Python: 8 articles, 4 videos, one codebase

🪁 A lightweight, modern Kubernetes dashboard that unifies multi-cluster and resource management, enterprise-grade user governance (OAuth, RBAC, and audit logs)…

Stateful runtime management for LLM agents—inject, manipulate, and retrieve Python objects across turns.

AgentCall lets AI Agents join meetings with voice, video & screen-share to build together. Supports Google Meet, Teams, Zoom (Beta)

Kition brings Markdown, DataTable, WhiteBoard, a tool-using AI agent, browser research, and visual workflows into one desktop workspace.

IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.

A powerful Model Context Protocol (MCP) server providing comprehensive Google Maps API integration with LLM processing capabilities.

Turn your Claude Pro/Max subscription into an OpenAI-compatible API for your IDEs and devices — LAN auth, per-key quotas, response cache, disciplined cli.js ali…

Paw Work - selection-first web agent for Chrome: select on the live page, describe the outcome, take away an editable office file. BYOK, sandboxed, no server.

基于 AI Agent + MCP 工具链 + 渗透 Skill 编排， 配合大语言模型， 自然语言输入 → 自动完成「信息收集 → 漏洞发现 → 漏洞利用 → 报告生成」全流程。

Lexora — Personal AI workspace built around Desktop / 以 Desktop 为核心的个人 AI 工作台

First AI Journey for DevOps - with comprehensive learning paths, practical tips, and enterprise guidelines

AI coding agent with one Python core and three front-ends — headless CLI, Textual TUI, and an Electron desktop. Works with any OpenAI-compatible API, with risk-…