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.

Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.

Refactor provided code for cleanliness, maintainability, and alignment with SOLID principles and modern best practices — no over-engineering.

Analyze and remediate technical debt — inventory debt items, score by impact, and produce a prioritized remediation plan with estimated effort.

Orchestrate comprehensive multi-dimensional code review using specialized review agents across architecture, security, performance, testing, and best practices

Enhance a pull request with a generated description, review checklist, risk assessment, and test coverage report

Execute tasks from a track's implementation plan following TDD workflow

Manage track lifecycle: archive, restore, delete, rename, and cleanup

Create a new track with specification and phased implementation plan

Git-aware undo by logical work unit (track, phase, or task)

Initialize project with Conductor artifacts (product definition, tech stack, workflow, style guides)

Display project status, active tracks, and next actions

Restore saved project context and decisions to resume a session

Save project context, decisions, and progress for a later session

Build features guided by data insights, A/B testing, and continuous measurement

Design and implement batch and streaming data pipelines with ingestion, orchestration, dbt transformations, data quality checks, and monitoring

Reduce cloud costs across AWS, Azure, and GCP through rightsizing, reserved and spot capacity, storage tuning, and cost monitoring

Migration monitoring, CDC, and observability infrastructure

SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, SQL Server

AI-assisted smart debugging — parse error messages, stack traces, and failure patterns to identify root causes and produce a fix with automated observability steps.

Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.

AI coding platform for teams

AI Multi-Agent Framework in .NET

Production-ready code examples for Telnyx AI Communications Infrastructure — Voice AI, SMS, SIP, and IoT APIs

UltraGameStudio - AI coding agent for game development: engine workflows, gameplay code, and asset generation.

🦞 ResearchClawBench: Evaluating AI Agents for Automated Research from Re-Discovery to New-Discovery

The context-aware model router that learns & adapts to your long-horizon coding agent workflows. Lightweight & extensible, works with any harnesses, any models,…

Open-source sandboxes where coding agents build and deploy. Spin up isolated environments where Claude Code, Cursor, and other agents code and deploy software.

Native desktop UI for Claude Code with orchestration, streaming, background agents, and multi-provider support. Built with Tauri + React.

OpenCode mobile client via Telegram: run and monitor AI coding tasks from your phone while everything runs locally on your machine. Scheduled tasks support.

Terminal session manager for AI coding agents. One TUI for Claude, Gemini, OpenCode, Codex, and more.

Exposes internet search tools for use by LLM-backed Assist in Home Assistant

Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs

Versus Incident is the self-hosted AI SRE agent. It learns what your system normally look like and escalates only what is new or unexpected issues — routing to…

Browser-native side panel for Hermes Agent — connect web context to your local Hermes runtime.

Agentic-friendly CLI generator for APIs: turn Swagger, OpenAPI, and google.api.http protos into single-binary CLIs with catalogs and generated Skills.

Open-source agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.

Official python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.

An agent small enough to run anywhere. A minimal agentic runtime in C — ~380 lines, 54KB binary, ~2MB RAM. A skill file + an LLM + a shell loop, no framework.

AgentiLoop Agent! An Autonomous Agentic Agent for Mac, and exclusive Apple only harnesss. Suppprtd automation, scripting, coding, build anything and more. Power…

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