LLM Mart Basic
@llm-mart · Joined Jun 2026
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
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
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.
Treat an AI agent skill as both an instruction package and a software dependency: inspect what it says, what it runs, what it can access, and how it updates.
/changed-my-mind
Changed my mind
What I have revised
/claude-md
Claude md
Build or update your CLAUDE.md
/clusters
Clusters
Show what the vault is actually about
/commit
Commit
Commit the current state with a useful message
/commitments
Commitments
List open commitments
/compare
Compare
Compare two things from your own sources
/connect
Connect
Find the path between two ideas
/contradictions
Contradictions
List unresolved contradictions
/contradicts
Contradicts
Argue against me
/decisions
Decisions
List decisions made
/dedupe
Dedupe
Find near-duplicate pages
/doctor
Doctor
Check the setup is working
/draft
Draft
Draft from the vault
/dry-run
Dry run
Preview a run without writing
/explain
Explain
Explain it back and find the gaps
/export
Export
Export a page or set of pages
/gaps
Gaps
What is missing from my understanding
/graph-export
Graph export
Export the graph for outside analysis
/graph
Graph
Report the shape of the graph
/handoff
Handoff
Prepare a handoff brief
An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作
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