LLM Mart Basic

Find footguns in code that already exists: swappable arguments, silent fallbacks, unguarded deletes, signatures that are easy to misuse. Use when someone asks "what could bite us here", "what is easy to misuse", "poka-yoke this repo", or wants a diff or PR reviewed for ways to ge

Multi-tenant isolation, IDOR and row-level security. Use to find every path where one tenant could read or write another tenant data: "we forgot to filter by org_id", "can users see each other data", "audit these endpoints for cross-tenant leaks", "make an unscoped query impossib

Pipelines, warehouses, dbt models and metrics, where failure is silently wrong numbers rather than a crash. Use when "the dashboard is wrong", "the numbers do not match", "add data quality checks", "safe backfill", or an upstream schema change broke a join. Covers freshness, row-

Design APIs, schemas, types and state machines so misuse cannot be expressed. Use when writing a new interface and someone asks "what should the types look like", "make invalid states unrepresentable", "so callers cannot screw it up", or wants illegal state transitions rejected.

Pre-commit hooks, CI gates, lint rules, database constraints and branch protection. Use when a rule needs enforcing rather than documenting: "set up enforcement", "unformatted or untyped code must not get merged", "gate this in CI", "we agreed to X and people still do not", "stop

AI features you ship to users: structured output, tool schemas, prompt injection, evals. Use when "the model returns bad JSON", "it hallucinates", "stop it calling the wrong tool", "add evals", or an LLM feature can trigger refunds, emails or writes. Covers schema-constrained out

Deploys, schema migrations, rollback and infrastructure. Use when "can I ship this on Friday", "this migration is scary", "what is the blast radius", "prevent accidental deletion of the database", or a change drops a column. Covers expand/contract, canary rollout, kill switches,

Mistake-proofing for anything: code, config, a schema, a process, a runbook, a form. Use when someone says "poka-yoke this", "mistake-proof it", "make this harder to get wrong", or runs /poka-yoke with no mode named. Applies Shigeo Shingo's method directly to any subject, and han

Turn a bug, outage or repeated mistake into a device that makes the whole class impossible. Use when something already broke: "make sure this never happens again", "this is the third time", "postmortem", "how did this get through". Root-causes to the missing constraint, then swee

Forms, destructive actions and flows users get wrong. Use when "users keep deleting the wrong thing", "add a confirmation dialog", "this flow is error-prone", or building a delete, bulk action, checkout or settings page. Covers undo over confirmation, type-to-confirm, safe defaul

Reviewing code that already exists for structural problems: responsibilities that have drifted together, names that no longer describe what they name, dependencies pointing the wrong way, and duplication that has hardened into divergence.

Permission and access-control code. Structure, clarity and testability of authorisation logic: where the decision lives, how it is named, and keeping it separable from the code that acts on it.

Software quality review and design guidance for any code: naming, cohesion, coupling, duplication, function size, dependency direction, and testability. Use when someone asks to improve, review, refactor, or design code, or asks what good structure looks like here. Routes to the

Designing a new interface, module, schema or type. Naming, cohesion, parameter shape, dependency direction and testability, decided before the thing has callers.

Something broke. Deciding what to change in the code so the class of problem is less likely, and writing it up so the next person understands the reasoning rather than just the outcome.

Forms, flows and screens. Structure, naming and clarity of user-facing interaction code: component boundaries, state ownership, and keeping presentation separable from the rules behind it.

Reviewing existing code for unchecked inputs, unguarded dereferences, unhandled failure paths, swallowed exceptions, missing timeouts and absent limits: the places where an unexpected value becomes an unhandled failure.

Defensive programming for any code: validating inputs at every boundary, checking for null and absent values, supplying safe fallbacks, catching and logging exceptions, and degrading gracefully rather than failing. Use when someone asks to make code robust, resilient, safer, or h

Designing a new interface, module, schema or type together with its validation and failure behaviour: what each input accepts, what happens when it does not, and what the caller gets back when something goes wrong.

微信读书读后感写作助手。帮助用户基于某本书或某个章节，生成一篇带有个人见解的读后感，正文严格控制原文摘抄，附录完整保留所有划线内容及即时感想。底层依赖 weread-skills（微信读书原子 API）和 huashu-weread-advisor（微信读书高阶顾问工作流）。当用户说「写一篇读后感」「帮我整理笔记写感想」「这本书/这章我想写篇公众号文章」时触发。

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。

Claude Code skills for Chinese-narration recaps from supported video files, with optional editable JianYing/CapCut draft export. | 用 Claude Code skills 为支持的视频文件…

Drive the Unity Editor from an AI agent or the terminal. The Editor serves MCP itself over HTTP, so there is no second process to run, and the isuzu-unity-cli c…

面向企业的数字员工构建与运行平台：把专业员工的经验、流程与判断标准，固化为可随时上岗、可配置、可审批、可观测的 AI 数字员工。

A local-first, Pi-powered AI agent workspace for Desktop, WebUI, and CLI

660+ muapi-hosted generative-media models plus community-submitted third-party API tools (SEO, enrichment, social, scraping) — one YAML file per entry, browsabl…

A compounding agent OS for recursive agents. Also an open source alternative to Grok Bot and Meta's Muse.

Independent desktop client for OpenCode 2. Manage projects, sessions, parallel agents, requests, and changes on Linux and macOS.

Production agent skills for Claude Code, Cursor, and any SKILL.md harness — Codex fleets, video pipeline, monorepo review bundles, multi-chain explorer.

See and manage what your coding assistants load — skills, commands, subagents, plugins and MCP servers, with real usage.

An Enterprise-Grade Full-Stack RBAC Permission Management System Built with Go + React

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

基于 DeepSeek Harness（DSH）的稳定桌面端，集成Git、内置浏览器与记忆功能 | DeepSeek Harness desktop GUI with local workspaces, Git, browser and memory.

⚡ Control Apache Airflow with natural language via MCP. Chat with your workflows using Claude, GPT, or any LLM — no REST API calls needed. Supports Airflow 2.x…

Open-source CLI, schemas, resolver, and DSH agent tools for DSH Plugin Hub

Pi Coding Agent 中文学习蓝皮书：从安装与第一个可验收任务开始，逐步掌握 Session、Context、Skill、Extension、Subagent 与长期 Agent 工作流。

Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendl…

Self-hosted, vendor-neutral control plane for your local coding agents (Claude Code & Codex). Run your agents, on any plane.

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and…

Vibe Coding 从入门到精通教程｜AI 结对编程工作流｜Prompt、Skill、Workflow、上下文管理、codex实战指南

Static security scanner for LLM agents — prompt injection, MCP config auditing, taint analysis. 51 rules mapped to OWASP Agentic Top 10 (2026). Works with LangC…