LLM Mart Basic

Instagram视频下载 — 粘贴 Instagram 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 Instagram 视频、保存 IG 视频、获取 Instagram 视频直链时使用。触发词：Instagram视频下载、IG视频下载、Ins视频下载、Instagram视频解析、下载Instagram视频、reel下载。

公众号投资博主蒸馏器。通过公众号文章数据，自动提取交易体系、市场判断、表达风格、内容深度、互动特征、热点图谱、 人设基因七维DNA，输出结构化风格画像 profile。 触发词：蒸馏投资博主、蒸馏大V、蒸馏公众号大V、分析投资博主风格、 提取交易体系、风格画像、投资博主蒸馏。

Kimi WebSearch 搜索工具。基于红狐 API 调用 Kimi 联网搜索能力，提交查询后自动轮询等待结果返回。当用户需要使用 Kimi 搜索、联网搜索、AI 搜索获取实时信息时使用。触发词：kimi搜索、kimi websearch、联网搜索、AI搜索、kimi搜索。

快手AI内容日报生成工具。每日自动扫描快手平台AI创作内容，按播放量筛选爆款视频并智能聚类，生成深色主题HTML日报（含封面图、互动数据、视频直链），同步输出AI情报洞察（热度TOP话题、起量信号、核心达人、推荐调查方向）。当用户需要AI快手日报、快手爆款、AI快手热点、快手AI内容、快手AI视频、快手情报时使用。触发词：AI快手日报、快手爆款、快手AI热点、快手情报、快手AI视频。

快手评论分析工具。输入作品链接即可获取一级评论数据，支持分页浏览、评论情感分析（积极/负面/需求/竞品），生成精美 HTML 报告。当用户需要查看快手作品评论、分析评论舆情、了解用户反馈时使用。触发词：快手评论、作品评论、评论查询、评论分析、评论舆情、看评论。

多平台文案改写能力；当用户需要将文案改写为公众号/视频号/抖音/快手/哔站/小红书/知乎风格，或批量输出多平台改写结果时使用

海外跨平台热文搜索 — 输入任意关键词（中文/英文），一次搜索 X / TikTok / YouTube 三平台热门内容，每平台 Top N（默认5）统一列表（平台/标题/作者/播放/点赞/评论/发布时间/链接），终端分组表格 + CSV 导出 + 交互式 HTML 报告（卡片/表格双视图）。按关键词语言智能优先同语言内容（中文词→中文优先，英文词→英文优先，其余语言兜底）。当用户需要搜索海外平台热点、跨平台内容对比、话题/竞品舆情监控、选题素材采集时使用。

B站短剧爆款内容追踪工具，每日自动扫描B站短剧创作内容，按点赞量筛选爆款作品，智能聚类题材后生成可视化HTML日报与创作趋势分析。⚠️查询前脚本先做输入校验：关键词需命中短剧题材词库（topic_keywords 中规定的题材名+全部相关词，如「打脸」命中逆袭题材相关词），命中后直接使用该关键词查询数据；不满足时提醒'关键词不满足查询条件'并推荐相关词，且不发起接口请求。数据每日15:00更新前一天数据，目标日期无数据时必须先告知用户并等待确认后才能调用接口，禁止自动获取。当用户需要查询B站短剧爆款日报、分析短剧题材趋势、查看热门达人表现或生成短剧创作趋

短剧-抖音信息源 — 每日扫描抖音短剧爆款内容,按点赞量筛选热门短剧,智能聚类题材方向后生成包含封面、互动数据与创作洞察的HTML日报。支持按题材(穿越/霸总/重生等)、达人、时间范围定向查询。⚠️查询前脚本先做输入校验：关键词需命中短剧题材词库（topic_keywords 中规定的题材名+全部相关词，如「打脸」命中逆袭题材相关词），命中后直接使用该关键词查询数据；不满足时提醒'关键词不满足查询条件'并推荐相关词，且**不发起接口请求**；查询无匹配数据或全量数据不足时先询问用户是否按推荐题材重新查询，确认后才可查询（不自动扩展、不自动降级全量）。日期

短剧-公众号信息源 — 每日扫描公众号短剧爆款文章,按阅读量筛选热门内容,智能聚类题材方向后生成包含封面图、互动数据与创作洞察的HTML日报。支持按题材(穿越/霸总/重生等)、公众号、时间范围定向查询。⚠️查询前脚本先做输入校验：关键词需命中短剧题材词库（topic_keywords 中规定的题材名+全部相关词，如「打脸」命中逆袭题材相关词），命中后直接使用该关键词查询数据；不满足时提醒'关键词不满足查询条件'并推荐相关词，且**不发起接口请求**；日期超出有效查询范围时提醒并自动回退最近有数据日期，无需用户确认。**无数据确认制**：查询无匹配数据或数

短剧-小红书信息源 — 每日扫描小红书短剧爆款内容,按互动量筛选热门笔记,智能聚类题材方向后生成包含封面、互动数据与创作洞察的HTML日报。支持按题材(穿越/霸总/重生等)、达人、时间范围定向查询。⚠️数据每日15:00更新前一天数据,目标日期无数据时必须先告知用户并等待确认后才能调用接口,禁止自动获取。⚠️查询前先校验分类/关键词是否符合短剧题材词库,不满足时不请求接口直接提示并推荐相关词。当用户需要短剧小红书日报、小红书短剧爆款、短剧热点、短剧创作趋势或自定义题材查询时使用。

一键生成高质量红狐Skill专属技能文件包（SKILL.md + 配套资源）。只需描述功能需求、提供接口地址和接口文档，即可自动生成符合红狐规范的专业技能文件，开箱即用。支持按需定制与迭代优化。触发词：当用户提到'创建红狐skill'、'生成红狐技能'、'新建红狐skill'、'写一个红狐skill'、'做个红狐skill'、'红狐技能生成'时使用

红狐订阅中心 — 统一管理全部可订阅内容源：账号追踪、AI 日报、行业日报、热榜推送。用户说「我要订阅」时展示分组菜单并引导完成订阅；「我的订阅」汇总当前所有定时推送任务；支持一键取消订阅。当用户想要订阅日报、追踪账号更新、管理推送任务、查看或取消已有订阅时使用。触发词：订阅、我要订阅、订阅中心、我的订阅、取消订阅、日报订阅、推送管理、定时推送。

基于 Seedance 2.0 模型的 AI 视频生成器，输入关键词/描述文案即可生成 MP4 视频。支持文生视频、分辨率/比例/时长控制、预置虚拟人像引用。使用 Seedance 视频生成、AI 视频、text-to-video 时调用此 Skill。

基于火山方舟 seedream 5.0 lite 模型的 AI 图片生成器，支持文生图、图生图、组图生成与提示词优化。输入关键词即可生成高分辨率图片，使用 seedream 图片生成、AI 绘图、文生图、图生图时调用此 Skill。

基于5位公众号股票投资大V（猫笔刀、格兰投研、投资明见、财躺平、终身黑白）200+篇文章蒸馏形成的风格画像，通过 AI Agent 实现风格化投资分析，支持单大V复盘、多V并行对比、板块漏斗筛选、短线选股、组合复盘、财报点评、观点跟踪等多模式。当用户请求股票复盘、大V风格分析、多V对比、板块分析、短线选股、组合复盘、财报点评时使用。触发词：股票复盘、大V分析、模拟大V、风格化复盘、多V对比、每日复盘、板块分析、选股、组合复盘、财报点评、大V观点。

A股每日新闻。从小红书、抖音、公众号三大平台搜索A股相关短讯，内置17个A股核心关键词一次性查询，默认近7天数据，自动过滤非股票内容，跨平台对比分析股市舆情。当用户需要研究A股舆情、股市讨论、大盘分析、选股策略、涨跌复盘时使用。触发词：A股、A股舆情、股市新闻、大盘分析、涨停、选股、A股复盘、股票讨论、股市热点。

TikTok主页视频批量提取 — 输入TikTok主页链接/handle，自动拉取账号主页全部作品并解析无水印下载链接，支持批量一键下载到本地。适用场景：竞品账号内容拆解与逐帧学习、收藏喜欢的创作者全部作品避免被删、批量搬运素材二次剪辑创作、保存自己账号作品做本地备份防丢失、课程/教程类视频离线囤货反复看、甲方要求提供无水印源文件、达人合作前快速拉取对方作品做背调分析。触发词：TikTok主页下载、TikTok视频下载、TikTok批量下载、TikTok无水印下载、下载TikTok作品、TikTok账号视频提取、TikTok主页视频批量提取、TikTok

TikTok视频下载 — 粘贴 TikTok 视频链接，一键解析返回无水印视频下载链接，支持单个或批量链接解析，自动校验 TikTok 链接有效性。当用户需要下载 TikTok 视频、保存 TikTok 视频、获取 TikTok 视频直链、批量下载 TikTok 视频时使用。触发词：TikTok视频下载、TK视频下载、TikTok视频解析、下载TikTok视频、抖音国际版视频下载、批量下载TikTok视频。

今日头条爆款内容查询 — 输入关键词搜索今日头条最新作品（图文/视频），支持按阅读量/时间排序、限定时间范围，终端表格展示 + CSV 导出 + 交互式 HTML 报告。当用户需要搜索今日头条热门内容、追踪头条热点、分析爆款文章时使用。

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.

Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.

Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Use when the user asks "ingest my meetings", "update my knowledge base", "extract facts from meetings", "sync meetings to wiki", "backfill knowledge", or wants their PARA/Obsidian/wiki profiles updated from conversation data.

Health-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.

List recent meetings and voice memos. Use when the user asks "what meetings did I have", "show my recent recordings", "any meetings today", "list my voice memos", or wants an overview of their meeting history. Also use when they need to find a specific meeting by browsing rather than searching.

Act as the user's live meeting sidekick inside the current terminal agent session. Use when the user explicitly asks you, the terminal agent, to watch a meeting, follow the live transcript, answer during the call, offer strategist thoughts, silently watch for risks, or track decisions. Do not use this skill to start or control the separate Minutes Coach HUD; explicit Coach or HUD lifecycle requests belong to minutes-copilot, and an ambiguous request such as "coach me live" requires one short surface clarification.

Self-coaching analysis of your own behavior across meetings — talk-time ratio, filler words, hedging language, monologue length, energy patterns, and (when meetings are tagged via /minutes-tag) what your behavior in winning meetings looks like vs losing ones. Use this whenever the user says "how did I do", "review my last meeting", "mirror", "self-review", "show my patterns", "coach me", "where am I weak", "talk time", "am I improving", "what do I do in meetings I win", "feedback on me", or asks for any kind of personal feedback on their own meeting behavior. This is the rare skill that gives the user a mirror to their own habits — surface it whenever they show curiosity about their own performance, even if they don't use the word "mirror".

Add a note to the current recording or annotate a past meeting. Use whenever the user says "note that", "remember this", "mark this as important", "add a note about", "annotate the meeting", or wants to capture a thought during or after a recording. Plain text input — no markdown needed.

Interactive meeting preparation — builds a relationship brief and talking points before a call. Use when the user says "prep me for my call with", "I'm meeting with X", "prepare me for", "what should I bring up with", "meeting prep", "get ready for my call", or wants to review history with someone before a meeting.

Generate a daily digest of today's policy-authorized meetings and voice memos — key decisions, action items, and themes across available recordings. Use when the user asks "recap my day", "what happened in my meetings today", "daily summary", "what did I discuss today", "any action items from today", or wants a consolidated view of the day's conversations.

Start or stop recording a meeting, call, or voice memo. Use this whenever the user says "record", "start recording", "capture this meeting", "stop recording", "I'm in a meeting", "take notes on this call", or wants to transcribe live audio. Also use when they ask about recording status or want to know if something is being recorded.

Draft user-facing Minutes release notes for a version from the commit range, recent GitHub releases, and the repository release checks. Use when the user asks to write, generate, prepare, revise, or review release notes or a changelog for a Minutes version.

Search past meeting transcripts and voice memos for specific topics, people, decisions, or ideas. Use this whenever the user asks "what did we discuss about X", "find that meeting where we talked about Y", "what did Alex say", "did we decide on", "what was that idea about", or any question that could be answered by searching their meeting history. Also use for "do I have any notes about" or "check my meetings for".

Guided first-time setup for Minutes — download whisper model, create directories, configure audio input. Use when the user says "set up minutes", "install minutes", "first time setup", "configure minutes", "get started with minutes", "how do I start using minutes", or when verify shows missing components.

Lightweight outcome tagging for meetings — won, lost, stalled, great, or noise. Use whenever the user says "tag this meeting", "mark that as a win", "that one was a loss", "tag yesterday's call as stalled", "mark this great", "that meeting was noise", "label that meeting", or any time they describe a meeting outcome in passing. Tagging takes 5 seconds and unlocks /minutes-mirror correlation analysis — the more meetings get tagged, the smarter mirror gets at telling the user what behavior patterns lead to wins. Surface this skill any time the user mentions a meeting result, win, loss, or wasted time.

Verify that Minutes is properly set up and working — model downloaded, mic accessible, directories exist, no stale state. Use when the user says "is minutes working", "check my setup", "verify minutes", "test recording setup", "why isn't minutes working", "minutes health check", or after running setup for the first time.

Analyze a product walkthrough, bug report video, Loom, or ScreenPal using Minutes transcription plus visual review. Use when the user wants a recorded demo or bug clip turned into a durable brief with transcript, key frames, issues, and next steps.

Weekly meeting synthesis — themes, decision arcs, stale commitments, and what deserves your attention next week. Use when the user says "weekly review", "what happened this week", "weekly summary", "recap my week", "any outstanding items", "week in review", or at the end of a work week.

Fast non-interactive briefing before any meeting — auto-detects your next calendar event, pulls relationship history, surfaces open commitments, and produces a one-page brief in under 30 seconds. Use this whenever the user says "brief me", "give me a quick brief", "what's coming up", "background on my next call", "who am I meeting next", "brief me on Sarah", "I have a call in 10 min", "quick rundown", or right before walking into a meeting. Different from /minutes-prep — brief is the fast hook-fireable version that doesn't ask questions and doesn't set goals. Use brief when speed matters; use prep when the user wants to think hard about goals first.

Manage old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting storage", or asks about disk space from minutes.

Start and control Minutes Coach, the separate real-time copilot HUD, with an explicit meeting goal. Use only for explicit Coach or HUD lifecycle requests such as "start Minutes Coach", "open the Coach HUD", "pause Minutes Coach", "resume Minutes Coach", "Minutes Coach status", or "stop Minutes Coach". Do not use for requests that explicitly ask the current terminal agent to watch or strategize; those belong to minutes-live-sidekick. An ambiguous request such as "coach me live" requires one short surface clarification and must not automatically start Coach.

MCP server for reusable prompt templates, multi-step workflow chains, and quality gates. Compose agentic workflows with an operator syntax; export as native ski…

中国股票数据基础设施，覆盖行情、研报、资金面、筹码、公告、龙虎榜、ETF/期权、舆情互动、基本面、行业板块、宏观与风险事件等核心数据。42+A股数据集，日更、自托管、MCP 原生，零注册、零 API Token

OKF (Open Knowledge Format): Durable, structured memory for AI agents. Author, validate, consume, and maintain portable knowledge bundles through an ecosystem o…

토스증권을 AI 에이전트와 터미널에서 다루는 도구. CLI 와 MCP 서버로 계좌·시세·주문은 물론 웹앱 전용 기능(수급·AI 시그널·스크리너·배당)까지, JSON·CSV 구조화 출력으로 AI 도구·자동화에 바로 연동.

Claude skills for LinkedIn. 11 Claude Code and Codex skills that write human-sounding LinkedIn posts, craft comments that get noticed, analyze your feed, and bu…

MCP server connecting AI agents to ITASCA engines (PFC, FLAC, 3DEC, MPoint, MassFlow) — run geotechnical & geomechanics simulations through natural conversation

A curated list of amazingly awesome articles, people, applications, software libraries and projects related to the knowledge management space

One local dashboard for every Claude Code, Codex, Cursor, Antigravity, and Kilo Code session on your Mac. Spawn in parallel, ship in parallel. Open source, MIT.

Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.

The AI agent that lives in your framework/browser

Self-Programming AI Assistant. Capture, automate, and refine all your workflows.

Consider it done. The open-source AI agent that works out of the box · 想到，就能做到。开源、开箱即用的 AI Agent。

Make Any Website into CLI & Use your logged-in browser by AI agent.

ISO 24495 Plain Language skills and Claude Code plugin

Deterministic, fail-open tool routing for Hermes Agent with an optional local-model fallback.

1인 사업가 생산성 키트 — 직원 없이 49개를 자동화했고, 그중 바로 쓸 수 있는 AI 에이전트 스킬 26개(+실행 스크립트)를 공개합니다

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agent…

The open-source, self-hosted video conferencing software. Scalable, customizable, and with a powerful AI Meeting Agent.

Business operating system for Claude Code — 57 skills, 21 agents, smart daemon. Unified inbox (WhatsApp/Email/Slack/Telegram), autonomous PR merge, full-AWS mon…

A local-first, cross-platform Electron desktop workspace for Pi Coding Agent, with sessions, project files, browser tools, skills, plugins, and messaging integr…