LLM Mart Basic

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

State-of-the-art secrets management for building and auditing software. Use whenever a task involves creating, storing, injecting, rotating, or scanning for credentials — or reviewing code/infrastructure for secret leaks and misuse. BUILD mode: implementing secrets handling; AUDI

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.

This is the only sanctioned way a version tag gets created, and it holds no knowledge of any

A read-only review of the current change, dispatched by path against a reviewer-to-path matrix:

This is the outlet for "I need to write code to find out" rather than "I know what to build." The

This is codeArbiter's autonomy mode. It collapses the usual spec-plan-execute cycle into one

The daily hygiene checklist, made routine and gated: fetch and offer a fast-forward pull, list

A read-only snapshot of `.codearbiter/` state: the project's `stage:` maturity value, every

Wires codeArbiter's renderer into `~/.claude/settings.json`, or removes it. A plugin can't own a

The only blessed way to mutate `.codearbiter/open-tasks.md`. It runs a thin writer over pure

An opt-in, lightweight STRIDE pass over a design before it's built — invoked deliberately, never

Tribunal is codeArbiter's deepest review, for a deliberate audit of a repository or subtree.

Watches a pull request's CI checks to completion without polling by hand. The wait is a real

A fixture command named debug, colliding with the debug skill/agent.

A fixture command named prune, used to regression-test forge badges.

Another command, description only, no argument hint.

A sample command for fixtures — single sanctioned path to a thing.

Convert an animated HTML file (like /fig output) to a perfectly looping high-quality small GIF using Playwright + ffmpeg

Find a free licensed image on the internet and add it to the project, optimized

Art-direction photo pass over the site: add photography only where it earns its place

Audit consolidate or forget stale sensitive or superseded Tree Ring Memory entries

Capture a concise validated lesson decision warning or preference in Tree Ring Memory

Offline-first Python AI agent that runs a tiny research business: quotes each job against its own costs, collects via Stripe, fulfils with NVIDIA Nemotron, pays…

DSH 插件 · 注入式优化器 0.8（主线）：你照常说话，它在你发送后,AI接收前把"这一轮到底要什么"理清楚，再把这份理解交给工作 AI(上下文注入) —— 原话不改写，条条带逐字依据。含控制界面（档位/权限/模型/上下文/只读工具）、拦截浮层（思维层+产出层）与真实 token 用量。可明显提升大多数模型的发挥稳…

Reliable AI Skill + MCP toolkit for agent-driven desktop CAD automation.

Curated real-world use cases for Hermes Agent — the self-improving AI agent from Nous Research. Backed by primary sources.

AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体

从 0 复刻 WorkBuddy-style 桌面 AI 助手 Harness：24 章 Python 教程，覆盖 Agent Loop、工具调用、记忆系统、Sidecar、沙盒审计、DeepSeek/OpenAI 评测轨迹

MCP server and CLI tools for web search and crawling, built on SearXNG and Crawl4AI

Delta MCP is a free app that sits between your AI apps and their MCP servers: one program per task instead of one tool call per step, up to 24.1× fewer tokens i…

Ava turns any Android 5+ device into a voice-first Home Assistant kiosk. Native C++ under the hood, so a 10-year-old tablet still listens, talks, and runs the h…

Roblox Studio macOS Window Capture Fix 2026: Real Screenshot Tool Instead of Magenta Playtest Glitch

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