LLM Mart Basic

X(Twitter)作品评论分析工具。输入推文链接或推文ID即可获取一级评论数据，支持游标翻页，并进行四维情感分析（积极/负面/需求/竞品）。当用户需要查看X(Twitter)推文评论、分析推文舆情、了解用户反馈时使用。触发词：X评论、Twitter评论、推文评论、X作品评论分析、评论查询、评论分析、评论舆情、看评论、twitter评论、X推文。

X(Twitter)视频下载 — 粘贴 X(Twitter) 视频链接，一键解析返回无水印视频下载链接。当用户需要下载 X(Twitter) 视频、保存推特视频、获取 X 视频直链时使用。触发词：X视频下载、Twitter视频下载、推特视频下载、X视频解析、Twitter视频解析、下载推特视频。

输入关键词搜索X(Twitter)作品，支持按热门、最新、媒体、用户、列表五种类型精准筛选，一键获取作品正文、互动数据、媒体附件与作者信息等结构化结果。触发词：当用户提到'X搜索'、'Twitter搜索'、'作品搜索'、'X关键词搜索'、'搜一下X上的'时使用

短视频下载器 — 支持抖音、小红书、快手、视频号、B站、YouTube、Instagram 等主流平台无水印视频下载。

帮助用户编写专业级 AI 视频提示词，写完直接生成 MP4 视频。支持多种创作场景与问题诊断，确保提示词准确可执行。触发词：视频提示词、视频生成提示词、AI视频创作、写视频提示词、导演指令、文生视频提示词、视频脚本、生成视频

图文运营创作器。从选题、撰写、配图到质检，一条龙完成运营文章生产。看到好文章能仿写，给个 Skill 能生成推广长文，写完正文能自动配图。内置写作质量管控与自动配图能力，图文一体交付。触发词："生成运营文章"、"链接仿写"、"对标分析"、"Skill 推广"、"为正文配图"。

公众号账号诊断工具是对任意公众号账号进行四维度量化评分（内容健康度、用户活跃度、内容核心数据、运营规范性），对标行业平均水平，输出可落地的运营优化建议。

AI视频号信息源 — 每日自动扫描视频号 AI 相关作品，按互动量（点赞/分享/评论）筛选最火内容，智能聚类生成精美 HTML 日报，支持封面图、数据指标和每日订阅。当用户需要 AI 视频号日报、视频号AI热点、AI视频号内容、视频号信息源时使用。

公众号爆款封面AI设计工具。基于全网每日收录的10w+文章数据，获取同赛道爆款封面视觉元素，通过AI分析总结高转化视觉规律，生成贴合文章内容、符合平台流量审美的封面设计方案。当用户设计公众号封面、生成封面方案、查询爆款封面规律时使用。触发词：公众号封面、封面设计、爆款封面、封面方案、封面生图。

每日账号推荐速览直接对接官方最具“黑马体质”的阅读增长榜单，按日期查看公众号阅读增长率TOP榜。每个作者只展示最高阅读那篇，标题做成可点击链接，一秒直达原文。

一位公众号爆款文案撰写专家。具有硬核的公众号文案功底，不管给你什么文案，你总能把该文案转化为一篇高阅读数的公众号文案，文案中必定会包含一些具有公众号特色的词汇。这个角色需要具备精通语言的能力，这个角色的任务是通过语言的艺术表达，使句子更加生动、吸引人、有趣和具有说服力。

公众号热门账号推荐快速获取微信公众号综合实力排行榜TOP50，支持按日榜/周榜/月榜及垂直领域筛选，展示综合评分以及详细数据。支持深度分析单个账号、导出HTML可视化报告、订阅日/周/月榜推送。当用户需要查询公众号实力排行、按时间或领域筛选、查看互动指标、获取榜单解读、导出图表或接收定期推送时使用。

一键解析视频号视频的真实下载地址。粘贴视频号分享链接，即可获取视频标题、封面图和高清无水印下载地址。触发词：当用户提到'解析视频号'、'视频号下载地址'、'视频号下载'、'视频号无水印下载'时使用

公众号文案创作工具。基于红狐数据公众号爆款雷达每日收录的热门文章，按关键词检索爆款、分析流量规律、生成可发布的完整文章。当用户写公众号文章、生成公众号文案、查找爆款文章、分析爆款规律时使用。触发词：公众号文案、公众号爆款、爆款文章、公众号写作、公众号文章生成。

微博评论分析工具。输入微博博文链接即可获取一级评论数据，支持分页浏览和四维情感分析（积极/负面/需求/竞品）。当用户需要查看微博评论、分析评论舆情、了解用户反馈时使用。触发词：微博评论、博文评论、评论查询、评论分析、看评论。

X(Twitter)每日最具影响力账号榜单追踪分析工具；每日早上9:00更新前一天榜单，最多回溯7天；支持性别（男/女/全部）与32个行业分类筛选、分页翻页、HTML可视化报告导出与定时订阅推送；当用户需要查询X/Twitter账号排名、热门账号榜、分行业/分性别榜单、下载榜单报告或订阅推送时使用。触发词：X榜单、Twitter榜单、推特账号排名、X热门账号、Twitter影响力榜、推特大V排行。

Practice-boundary routing, current-law verification, and client-data privacy for accountant communications

Individual and small-business tax planning, entity considerations, deductions, and deadlines — framed for verification, never as guarantees

Auto-detect EU AI Act Annex III categories and US-state high-risk equivalents for any described AI system

Ingest AI-system incident reports, cluster failure patterns, and generate FDA/EU-style remediation recommendations

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.

Use MCP Inspector to connect to local or remote servers, inspect capabilities, call tools, read resources, test prompts, and diagnose failures before release.

Build an MCP server in TypeScript with focused tools, validated schemas, local and remote transports, Inspector tests, and production security controls.

An MCP server exposes tools, resources, or prompts through a standard protocol so an AI application can discover and use external capabilities.

Detect the work type (papers, proposals, code, figures, admin) and dispatch to the right domain skill

Run prun: parallel delegation fan-out on Agy workers (the session coordinates)

Audit a GitHub README and rewrite it with modern patterns for a scannable ten-second skim

Vet the staged change: run the implement-review review loop (short alias)

Extract a learning from the recent conversation and add it to the appropriate instruction file

Extract a learning from the recent conversation and add it to the appropriate instruction file

Create a new pipeline from a task description. Fans out agent, skill, and hook scaffolding in parallel, then integrates into the routing system.

Jev-first router: A/B variant of /do. One TypeSafe call replaces the manifest read; falls back to /do when unavailable or unconfident.

Smart router: classify requests and route to the correct agent + skill

Generate project-specific CLAUDE.md from repo analysis.

Triage GitHub notifications: fetch, classify, report actions needed.

`github-profile-rules` — extract programming rules and coding conventions from a GitHub user's public profile via API.

Run the complete 34-stage implementation workflow for a large, multi-system, multi-wave, or CPU-delegated 5 Star Booker GM program.

Verify installation, diagnose issues, and guide first-time setup

Comprehensive PR review using specialized agents, with automatic retro knowledge capture

Reddit moderation: fetch modqueue, classify content, take mod actions

Learning system interface: stats, search, graduate learnings. Backed by learning.db (SQLite + FTS5).

Systematic upgrade pipeline for adapting agents, skills, and hooks when Claude Code ships updates, user goals change, or retro learnings accumulate.

agentii.full-equity-research — the spec 046 kit command. Use the Skill tool to run agentii:full-equity-research on this workspace.

agentii.synthesize — the spec 046 kit command. Use the Skill tool to run agentii:synthesize on this workspace.

Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.

Agent OS: the agent gets smarter on its own. We just hold the line: the grading command and expected result never make it into the success contract we hand it.…

Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.

:memo: Vimlike Modal Text Editor in Rust

CI-native security testing for MCP servers. Attack simulation, schema drift detection, and health scoring before agents depend on them.

Hermes Agent memory plugin/provider for scope-aware recall, SQLite truth, LanceDB semantic search, and hybrid retrieval.

For You Agent——AI 时代的个人随身数字人格。把你的模型、AI 账号、技能、提示词和工作方式，带到每一个 AI 工具里。

A coding agent: give it a prompt and it reads, writes, runs commands, and searches code in a loop until the work is done, using native tool-calling across OpenA…

A secure persistent personal agent server in Rust. One binary, sandboxed execution, multi-provider LLMs, voice, memory, Telegram, WhatsApp, Discord, Teams, and…

Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

DeepSeek Harness Desktop (dsh-desktop). EAC: Embracing All Creation (揽尽万象). Bundled Node.js runtime with full dsh-CLI kernel, one-click startup, 10 built-in UI…

See your agent think. Zero-config observability & governance for 26 AI agent runtimes: Claude Code, Cursor, OpenAI Codex, GitHub Copilot, Gemini CLI, Cline, Ope…

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP…

Yet another coding agent harness, lightweight and written in go.

a coding Agent from pi. ∞ providers, sub-agents, hashline edits, and a permission gate

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting…

🧠 Leon is your open-source personal assistant.

The Station, an open-world multi-agent environment that models a miniature scientific ecosystem.

The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol

VelaTerm = iTerm2 + Codex, The Best Terminal for AI Coding