LLM Mart Basic

When the user wants to plan, map, or restructure their website's page hierarchy, navigation, URL structure, or internal linking. Also use when the user mentions "sitemap," "site map," "visual sitemap," "site structure," "page hierarchy," "information architecture," "IA," "navigat

Point-and-shoot programmatic SEO/GEO page factory — scan ANY website, then expand it into hundreds of validated token-max pages (2,800-3,400 words, 90%+ unique, GEO answer-first) via a universal Archon workflow. Use when the user says "token max", "site factory", "point and shoot

Run multiple TokenMax SEO/GEO sites as a resumable, fail-closed fleet. Use when Codex needs to audit a site queue, execute one isolated site at a time, preserve deterministic quality/build/deploy gates, resume interrupted runs, install a server-side scheduler, or report productio

GEO specialist analyzing AI search visibility: citability scoring, AI crawler access, llms.txt compliance, and brand mention presence across AI-cited platforms. Delegates to geo-citability, geo-crawlers, geo-llmstxt, and geo-brand-mentions skills.

Content quality specialist evaluating E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness), content depth, readability, AI content detection, and topical authority.

Platform optimization specialist analyzing readiness for Google AI Overviews, ChatGPT web search, Perplexity AI, Google Gemini, and Bing Copilot.

Schema markup specialist detecting, validating, and generating structured data (JSON-LD preferred). Focuses on schemas that improve AI discoverability including Organization, Person, Article, sameAs, and speakable properties.

Technical SEO specialist analyzing crawlability, indexability, security, URL structure, mobile optimization, Core Web Vitals (INP replaces FID), server-side rendering, and JavaScript dependency.

Mass-publish CorpusIQ affiliate program pages in 100+ languages via Rentry.co API. Proven to drive signups (12 users acquired). No auth required — pure API POST. Use whenever pushing affiliate program worldwide.

Deploy an autonomous DevOps/SRE agent for infrastructure health checks, deployment monitoring, incident response, log analysis, and cost optimization. Complete Hermes blueprint.

Deploy an autonomous executive assistant agent for daily briefings, calendar management, inbox triage, meeting preparation, and task follow-up. Complete Hermes blueprint.

Deploy an AI finance agent for invoice processing, expense tracking, bank reconciliation, AR aging, and financial reporting. Complete Hermes blueprint with QuickBooks and Stripe.

Deploy an AI HR agent for resume screening, interview scheduling, onboarding coordination, policy Q&A, and compliance tracking. Complete Hermes configuration blueprint.

Complete library of 9 role-specific Hermes agent configurations: sales, marketing, devops, support, finance, HR, research, legal, and executive. Deploy in

Deploy an AI legal operations agent for contract review, regulatory monitoring, policy enforcement, audit preparation, and document management. Complete Hermes configuration blueprint.

Deploy an AI marketing agent for SEO monitoring, campaign analytics, content performance, competitive intelligence, and social scheduling. Complete Hermes blueprint with cron and connectors.

Deploy an AI research agent for competitor monitoring, market intelligence, academic literature reviews, patent tracking, and news aggregation. Complete Hermes configuration blueprint.

Deploy an autonomous Hermes sales agent for lead qualification, pipeline management, outreach sequences, and daily CRM reporting. Complete configuration blueprint with cron schedules.

Deploy an AI customer support agent for ticket triage, knowledge base search, response drafting, SLA monitoring, and trending issue detection. Complete Hermes configuration blueprint.

Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..."

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.

One-line reliability verdict (OK / DEGRADED / FAILING) for Claude Code usage

Print a quick SLO snapshot — completion rate, tool success rate, and error rate

Generate an evidence-backed CCAM executive, cost, reliability, or workflow report.

List live and persisted CCAM-launched Claude Code and Codex runs

Search Agent Monitor sessions by cwd, model, or status and print the top matches.

List the N most recent Claude Code sessions from the Agent Monitor.

Summarize one Agent Monitor session by id — header plus a concise transcript recap.

Print the orchestration DAG edges (parent→child subagents) for a session.

List recent Workflow-tool fleet runs with status and agent counts.

Summarize the workflow intelligence for a session — stats, complexity, and top patterns.

Run broadcast on a distilled Raw — update related existing pages conversationally

Distill raw session records into refined Notes and Projects

Save knowledge to the cortex vault (Notes or Projects) and update index

Initialize cortex vault — set up config, vault structure, and rebuild index

Manually search the cortex vault (Notes, Projects, Raw) for existing notes

Create, resume, or clear a session hand-off baton (one per work line)

Command → Agent → Skill orchestration for end-to-end feature development.

Command → Agent → Skill orchestration for investigating and fixing bugs.

Brief the CEO: coordinate with peer CTO and CAIO executives and start or resume a founder project across 9 departments and 64 skills

Configure an optional active team profile in three short questions

Open-source, self-hosted AI media server. One server replaces your entire media stack, with a web app, native iPhone app, and an AI agent that gets things done.…

A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.

🦦 Crayotter: A Multimodal AI-Agent for Video-Editing, Video-Composing, and Video Production. Powered by Multimodal LLMs for autonomous Text-to-Video agentic fr…

Webextension tool for Odoo

基于多模态视觉感知与 LLM Agent 的 macOS 微信自动化框架 | Visual RPA for WeChat

The operational superset of Pi Coding Agent — everything Pi, plus observability, governance, recovery, evaluation and multi-agent orchestration. Pi Coding Agent…

Metrik 可以集中查看本机多个 Agent 的配额余量和 Token 消耗，目前支持 ChatGPT、Claude、GLM、Kimi 等主流 AI 服务。

An AI agent with a real self — soul she wrote, desires that drive her, a heartbeat for autonomous action, dreams she processes when you're away. Capability supe…

Production-ready open source terminal coding agent with readable, layered code: permission rules, OS sandboxing, MCP, skills, sub-agents, and Anthropic, OpenAI-…

Answer me with HTML — an agent skill that answers hard questions with a one-page HTML you can actually read. 让 AI Agent 用一页 HTML 回答复杂问题。

Prompt packs that make any AI agent a LaTeX expert — fix errors, polish writing, format for venues, read papers, recover source

Claude Code plugin: universal radial-tree exploration engine. One tree skill + swappable presets (brainstorm / attack / design / code-audit) for divergent ideat…

Claude Code + OpenClaw + Codex + WorkBuddy 中文教程 | 50篇完整教程 + 1张速查卡 | 80万+内容量 | 1500+实操示例 | AI Coding / Agent 四线学习路径（编程+助手+Agent+办公）

SmartLabelBench 2026: LLM-Powered Auto Annotation and Dataset Builder for Everything

从零开始玩转OpenClaw：最全面的中文教程，涵盖安装、配置、实战案例和避坑指南（github版）