LLM Mart Basic

State-of-the-art database engineering rules (2026) for designing, building, and auditing data layers. Covers engine selection, schema modeling, migrations, query and index craft, transactions and concurrency, reliability and scale, security, and vector/AI workloads. Use when desi

State-of-the-art detection engineering, SOC, threat hunting, and incident response (2026). Use when BUILDING detective controls or SOC capability — Sigma/YARA/Falco/Tetragon/Suricata rules, detection-as-code, MITRE ATT&CK coverage, SIEM detections, alert triage and SOAR, threat h

State-of-the-art DevSecOps and software supply chain security (2026). Applies when building or auditing CI/CD pipelines, GitHub Actions workflows, supply chain controls, SBOM generation, SAST/secret-scanning gates, dependency management, container builds, container/artifact regis

State-of-the-art documentation and engineering-collaboration guidance (2026) covering documentation architecture (Diátaxis, docs-as-code, READMEs, runbooks, onboarding, AI-readable docs), API/reference docs and changelogs, and the team workflow around code: pull requests, code re

State-of-the-art C# / .NET engineering rules (2026 baseline, .NET 10 LTS / C# 14) that Claude applies when writing or auditing .NET code. Covers modern idioms (records, nullable reference types, pattern matching, spans, file-scoped namespaces), API/null/immutability/`IDisposable`

State-of-the-art web design, UI/UX, and motion engineering standards (2026). Use when building OR auditing/reviewing user interfaces: components, pages, design systems, stylesheets, themes, forms, navigation, animations, or accessibility. Covers typography, color (OKLCH, dark mod

State-of-the-art Go engineering rules (2026 baseline, Go 1.25+) that Claude applies when writing new Go code or auditing existing Go code. Covers error handling, interface/package design, goroutine and channel correctness, net/http hardening, security (SQL, exec, path traversal,

State-of-the-art identity and access management engineering (2026) for BUILDING/configuring identity infrastructure AND AUDITING it — federation, IdPs, authorization models, the joiner-mover-leaver lifecycle, privileged/break-glass access, workload identity, MFA/passkeys, and ass

State-of-the-art JavaScript and TypeScript engineering (2026) for both writing and auditing code. Covers strict TypeScript configuration and type design, language idioms and pitfalls, async patterns, Node.js backends, JS/TS-specific security (XSS, prototype pollution, supply chai

State-of-the-art JVM engineering rules (2026 baseline) for Java and Kotlin that Claude applies when writing or auditing JVM code. Baseline Java 25 LTS (virtual threads final since 21; structured concurrency still preview), Kotlin 2.x. Covers modern idioms (records, sealed types,

State-of-the-art Kubernetes platform security and operations (2026) for cloud-managed (EKS/GKE/AKS) and self-hosted clusters (kubeadm, k3s/k0s, Talos). Use when building, operating, hardening, or auditing the cluster PLATFORM layer: control plane and etcd, API server/kubelet, RBA

State-of-the-art ML engineering / MLOps rules (2026) for BUILDING and AUDITING production machine-learning systems — the training→serving→monitoring lifecycle of classical/predictive ML. Distinct from LLM apps (prompts/RAG/agents → sota-llm-engineering). Covers ML system architec

State-of-the-art mobile engineering for building and auditing iOS and Android applications. Use when the task involves mobile apps in any form — native (Swift, SwiftUI, Kotlin, Jetpack Compose), cross-platform (React Native, Flutter, Kotlin Multiplatform), Swift as a language — S

State-of-the-art network security as a discipline (2026) for BOTH designing/building secure networks AND auditing segmentation and exposure. Use for zero-trust architecture, network segmentation and blast-radius control, Kubernetes NetworkPolicy/CiliumNetworkPolicy depth, service

State-of-the-art observability and reliability engineering (2026). Use when instrumenting code (structured logging, metrics, distributed tracing with OpenTelemetry, SLOs, alerting, health endpoints) or auditing an existing codebase's observability posture (can on-call answer "why

State-of-the-art performance engineering for building fast systems and auditing existing code for bottlenecks. Use when the task involves performance, optimization, latency, profiling, slow code, memory usage, caching, or throughput — designing latency budgets, fixing N+1 and acc

State-of-the-art PHP engineering (2026 baseline, PHP 8.3+ floor, 8.5 current) for both writing new PHP and auditing existing PHP code. Covers strict_types and modern idioms (enums, readonly, match, fibers, property hooks), OWASP-grade security (SQL injection, XSS, file uploads, L

State-of-the-art privacy and compliance engineering guidance for building privacy-respecting systems and auditing existing code for privacy/compliance gaps. Use when work involves privacy, GDPR, PII, personal data, consent, data retention, deletion, DSAR (data subject access requ

State-of-the-art Python engineering (2026 baseline) for both writing new Python and auditing existing Python code. Covers uv-based tooling and project setup, strict typing, idioms and pitfalls, asyncio structured concurrency, security (injection, deserialization, supply chain), p

State-of-the-art Rust engineering (2026) for writing and auditing Rust code. Covers idiomatic ownership and API design, error handling and panic policy, unsafe discipline with Miri, async/tokio (cancellation safety, structured concurrency, graceful shutdown), security and supply

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.

网文封面生成。分析书名题材，生成专业封面图。

网文去AI味。检测并清除文本中的AI写作痕迹，让文字回归自然。

逆向导入已有小说。将已写好的小说反向解析为标准项目目录结构。

长篇网文拆文。深度拆解爆款长篇小说的黄金三章、人设、爽点、节奏。

长篇网文扫榜。分析起点、番茄、晋江等平台排行数据，提炼市场趋势。

长篇网文写作。从大纲到正文，辅助长篇网络小说的创作。

多视角对抗式审查。使用多个 Agent 对作品进行多维度审稿。

网文写作环境部署与检查。部署 hooks、rules、agents、项目指令等基础设施；传入 check 只检查不改动。

短篇网文拆文。拆解爆款短篇的故事核、结构、情感线和反转设计。

短篇网文扫榜。分析知乎盐言、番茄短篇等平台热门数据。

短篇网文写作。辅助短篇小说创作，从构思到成稿。

网文工具箱路由入口。根据模糊意图自动分发到对应的写作、拆文或扫榜工具。

浏览器操控。通过 CDP 复用 Chrome 登录态执行浏览器自动化。

小说封面生成。根据书名、作者名和题材生成专业网文封面。

网文去 AI 味。检测并清理模板化、解释腔和过度工整表达。

逆向导入已有小说，将成稿或半成品解析为可续写项目。

长篇网文拆文，分析黄金三章、人设、爽点和长线节奏。

长篇网文扫榜，分析起点、番茄、晋江等平台趋势。

长篇网文写作，从选题、大纲到逐章正文和持续追踪。

多视角小说审查；ZCode 项目 agents 不可用时自动降级 solo。

Your efficient agentic AI coding CLI assistant

AI coding with Aegis governance built into execution: baseline-aware changes, evidence-backed delivery. Free desktop client, your choice of model. 将哲科思维融入 AI 开发…

Android in docker solution with noVNC supported, video recording, mcp server and AI-agent

Your AI assistant, built for the agentic era. Open source and local: talk to it, and it runs your agents, your coding CLIs, your browser and your apps. Windows,…

Verifiable program-level self-evolution for AI-for-Science agents: Skills and typed Operators grow from replay-verified executions.

Let Claude Code and other coding agents drive and debug Chrome from the shell. DOM, network, console and raw CDP as short commands, no screenshots and no MCP ne…

Unofficial, agent-friendly Mercadona shopping CLI (Go) — search products, read prices, build a cart and prepare checkout from the terminal. BYO credentials.

Local-first AI canvas for visual workflows, AI short drama, image/video generation, storyboarding and asset management. ComfyUI, AI agents, MCP & Blender. 本地优先…

Let any AI coding tool — Claude Code, Cursor, Codex — drive your real Chrome. One-prompt setup, muscle memory, local-first.

runs anywhere. uses anything

Open-source dots for the web: an AI agent with its own browser, one that does not get blocked.

Free MIT AI coding agent — no API key needed. Built-in free model, or bring Claude, GPT, Gemini, DeepSeek, Ollama +50 more. Swarm mode, 40+ tools, browser & des…

Open-source AI customer support system. AI-first support, human-ready operations.

A durable, multiplayer, mobile-first web app for Pi agents, built on Pi Durable

Embedded Cypher knowledge graph for Python and Rust. Bundled MCP server, describe() schema, and code-graph parser for LLM agents.

Turn PDFs, books and papers into interactive learning webpages｜将复杂材料转化为可追溯、可测验、可做笔记的学习网页

PhysicsOS 是一个面向初高中物理学习的公益可视化智能体，通过 AI 理解题目并结合物理引擎，将抽象物理过程转化为可交互、可观察、可计算、可验证的真实物理场景。