LLM Mart Basic

用于设计分部大纲、分卷大纲、卷纲、章清单与章节微型剧本。适合分卷拆解、章清单落地、卷级启动表编排、卷内节奏校准与故事面承接映射。关键词：分卷大纲、卷纲、章清单、卷级启动表、章节微型剧本、卷内节奏。

用于设计、重写或审计小说封面生图提示词。适合把题材核心意象、人物识别、主色调、构图、风格限制、禁行元素与平台展示约束整理成可交付方案。关键词：封面提示词、封面生图、主视觉、构图、主色调、平台展示。

用于设计或重写总大纲、全书总纲与战略层文件组。适合总纲搭建、M0 / X / C 规划、跨卷推进、终局闭环与总纲级验收。关键词：总大纲、全书总纲、M0、X线、C线、跨卷推进、终局闭环。

设计、重写或补强故事设定全品类——包括世界观设定、技术设定、规则/机制设定、社会制度设定、能力/金手指设定、手法/程序链/证据载体设定。用于产出可叙事化、可证据化、边界与代价明确的作者侧设定裁判源，覆盖规则条款、误导与证伪、程序摩擦、镜头包、实际文件写回与跨阶段演进。支持联动竞对分析、网络调研、深度研究与结构化深入思考，确保设定既有真实感锚点又有竞争辨识度。适合所有品类故事设定的创建、重构、补强与规则边界修复。

用于设计、重写或审计故事面。适合故事面搭建、卷级供血检查、硬抓手补强、跨卷交接与可拆卷可拆章的故事面重构。关键词：故事面、一句话谜面、供血、硬抓手、卷级推进、跨卷交接。

用于设计、筛选、重排和审计小说的全层级标题系统——包括全书书名、分部标题、分卷标题与章节标题。标题即开篇——读者看标题的决策模式与看开头完全一致，但标题受字数限制更严格，且各平台显示规则不同。适合为全书、分部、分卷、多平台版本或逐章生成真正像书名的候选标题，并形成可复盘的命名方案。关键词：设计标题、书名候选、平台适配书名、标题系统、章标题、分卷标题、标题字数限制、标题Hook。

用于设计、重写或维护线索台账、伏笔台账与回收计划。适合把线索、嫌疑、误导、伏笔、回收窗口与兑现后果写成作者可审计、可回指、可跨卷追踪的统一账本。关键词：线索台账、伏笔台账、回收计划、回收窗口、兑现后果、推理公平性。

用于设计或校准作品的题材定位框架。适合从零生成故事概念、题材定位、平台校准、读者承诺梳理与创新组合整理。关键词：题材定位、概念工厂、PK筛选、平台口径、主角抓手、现实锚点、代价锚点、创新组合、代偿原型、套路定位。

用于把小说章节改写为更适合 WebNovel 平台的英文版本。适合强调跨文化可读性、移动端阅读节奏、清晰因果链与全球年轻读者易读性的正文输出；供多个题材的 `题材名-输出WebNovel版` 包装层路由使用。关键词：输出WebNovel版、WebNovel、英文平台、跨文化改写。

用于把小说章节改写为更适合今日头条平台的版本。适合强情节、弱冗余、开篇钩子密集、互动驱动为核心的正文输出；供多个题材的 `题材名-输出今日头条版` 包装层路由使用。关键词：输出今日头条版、今日头条平台、强钩子改写、互动驱动、社交媒体小说。

用于把小说章节改写为更接近传统出版社审稿口味的版本。适合强调文笔克制、逻辑自洽、出版可读性、结构完整与审读友好的正文输出；供多个题材的 `题材名-输出出版社版` 包装层路由使用。关键词：输出出版社版、传统出版、纸媒投稿、出版社风格。

Add educational comments to code files to transform them into effective learning resources. Explains the "why" behind syntax, idioms, and design choices, aligned with the learner's knowledge level and educational goals.

Advisory skill for Contabo resource planning across regions (EU, US-central, US-east, US-west, SIN, UK, AUS, JPN, IND), instance tiers (VPS, VDS, Storage VPS), and add-ons (Private Networking, Additional IPs, Extra Storage, Custom Images). Includes Cloud-Init userData strategy an

Advisory skill for analyzing Contabo cost posture across contract periods, VPS/VDS product tiers, Storage VPS options, and add-ons including Private Networking, Additional IPs, Extra Storage, and Custom Images. Use when the user asks to reduce, explain, or optimize Contabo spendi

Live-guard skill for Contabo Object Storage (S3-compatible) bucket operations including inventory audit, access policy review, retention policy enforcement, and deletion workflows. Hard-stops any bucket deletion requested without verified backup evidence and a documented rollback

Router skill for classifying Contabo tasks and delegating to the narrowest specialist for cost analysis, capacity planning, security hardening, VPS/VDS lifecycle operations, or Object Storage management. Use when the user asks a Contabo question that spans multiple domains or nee

Advisory skill for hardening Contabo infrastructure security: SSH key management via secret IDs, default root and admin user policy, firewall posture review, OAuth2 credential hygiene including token short TTL and environment variable storage, and x-request-id UUIDv4 traceability

Use this skill when compliance controls must be mapped to audit evidence, when evidence collection, retention policy, and legal-hold status need to be assessed across Microsoft 365 workloads, or when an attestation package must be assembled for an auditor or regulator. Defines th

Use this skill when a customer service case must be triaged, routed to the right team, driven to resolution, and captured as reusable knowledge in Dynamics 365 Customer Service. Covers intake-to-routing, SLA tracking, escalation gates, knowledge capture, and post-resolution CSAT.

Use this skill when a Dynamics 365 change request must be structured and progressed through impact assessment, fit-gap analysis, UAT sign-off, go/no-go decision, go-live execution, and hypercare using the Success by Design framework. Defines the full change-to-go-live flow — chan

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.

Cache-miss / compaction protection gate (disabled by default)

Reference the supported Claude Code command, skill, plugin, and hook surfaces

Clear all session-level pattern blocks and allows

Emergency stop - immediately halt all autonomous operations

Find existing files only - no new file creation (short for /ar:find)

Find existing files only - prevents new file creation (strictest mode)

Git commit requirements - the 17-step process, short for /ar:commit

Use gemini CLI for any combination of: superior vision for analysis of images, diagrams, screenshots, PDFs, documents, video, and audio; code review with detailed citations and cross-referencing patterns; Google search; and multi-model workflows; all for planning, feedback, and getting unstuck.

Clear all global pattern blocks and allows

Block a command pattern globally (persists across sessions)

Allow a blocked pattern globally (persists across sessions)

Show active global pattern blocks and allows

Start autorun - autonomous task execution (short for /ar:run)

Start autoproc - procedural autonomous workflow (short for /ar:proc)

List every autorun command with what it does, in this harness's spelling

Require justification for new files (short for /ar:justify)

Require justification before creating new files

Block a command pattern in this session

Allow a blocked pattern in this session

Plan export status and settings [on|off|globalon|globaloff|dir <path>|pattern <template>|rejected [on|off|dir <path>]|reset]

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-…