LLM Mart Basic

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

Current AI regulatory landscape — EU AI Act, FINRA, FDA, US state AI laws — and client-system exposure mapping

Plain-language legal explanations, client-facing correspondence, and privilege-boundary awareness

Civil litigation, contract law, legal research methodology, rules of professional conduct, and legal citation format

Civil litigation workflow expertise — case management, deposition prep, evidence chain, and Federal Rules of Evidence

Financial statement preparation, analysis, and plain-language explanation for small business owners

Tax preparation client communication, deadline management, and entity-specific requirements

Chiropractic clinical expertise including musculoskeletal assessment, spinal biomechanics, diagnostic imaging, and evidence-based guidelines

Chiropractic practice marketing, patient communication, content strategy, and healthcare advertising compliance

Community health monitoring expertise — auto-activates on engagement, retention, and churn-prediction tasks

Moderation audit trail expertise — auto-activates on compliance logging and escalation documentation tasks

Estimating, scheduling, building codes, safety protocols, permitting, and project controls

Owner reports, subcontractor coordination, RFI responses, and meeting documentation

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.

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.

CoalWash self-update — check for a newer version and offer to apply it, or set how updates are handled.

Create an AI skill from any source (URL, repo, PDF, video, notebook, etc.)

One-command skill creation and packaging for a target platform

Sync a scraping config's URLs against the live documentation site

Generate and run validation queries for the current change

Generate and run validation queries for the current change

Check code-intelligence prerequisites (ripgrep + a language server) and print install hints

Create space-efficient paper and proposal figures (HTML mockups, TikZ, or skia-canvas) from tool selection through LaTeX insertion

Design concise overview, mechanism, or workflow figures as editable PowerPoint objects

Run the implement-review staged-change review loop

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)

Create space-efficient paper and proposal figures (HTML mockups, TikZ, or skia-canvas) from tool selection through LaTeX insertion

Design concise overview, mechanism, or workflow figures as editable PowerPoint objects

Run the implement-review staged-change review loop

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

The fastest way to put Volcengine Ark in your terminal and your AI agent — go from prompt to generated media, multimodal answer, or deployed endpoint in a sin…

本地私有、开源的自进化跨平台 AI 内容发现 Agent：先理解你，再主动从 B站、小红书、抖音、YouTube、X、知乎、Reddit、微博等平台与开放 Web 寻找内容。（支持 deepseek harness 插件） | Local-first open-source cross-platform AI cont…

Persistent memory for AI coding agents — one verified kb_search replaces the grep/find/ls orientation loop. Cross-repo, CPU-only, zero token spend.

AI 时代的伯克希尔：基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Co…

The batteries-included, No-Code FinOps automation platform, with the AI you trust.

Open-source 3D AI agent framework — GLB/glTF avatars with LLM brains, memory, emotions, and autonomous payments. MCP server · x402 · Solana/EVM · Three.js. Embe…

XLSX parser for LLMs, RAG, LangChain, LangGraph, CrewAI, Claude, MCP — turns Excel (.xlsx) into citation-ready JSON with formulas, charts, dependency graphs, an…

Hermes-Relay — Your Hermes AI agent, in your pocket — chat, voice, and control.

A minimalist, terminal-native coding agent written in C.

AI-powered OSINT agent with interactive REPL, MCP server, and CLI. 19 tools. Works with Claude, GPT-4, or local models. For authorized security research only.

AI pair programming in your terminal — one static binary, sub-ms startup, any model

Where data access meets operational intelligence

Build your own security agents. Open-source framework for agents with live, read-only access to your infrastructure, with no path to widen it. Reasons across AW…

Multi-workspace terminal aggregator with Claude Code AI integration

Go implementation of AI coding agent

Harness engineering beginner tutorial, from 0 to 1

Generate images directly in DeepSeek Harness chats

A smarter, self-hosted AI assistant — multi-user, multi-agent.

Turn any research paper into a commercialization report — 6 AI agents, TRL/MRL scoring, patent landscape, market intelligence, verified citations. DeepSeek / Op…

Power BI CLI - semantic models (.NET TOM) and PBIR reports for token-efficient AI agent usage, built for Claude Code