LLM Mart Basic
@llm-mart · Joined Jun 2026
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,'
When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landin
When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog strategy," "topic clusters," "content planning," "editorial c
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand me
Index and access layer audit for AI search -- the hard prerequisites. Verifies Bing indexation (the ChatGPT entry ticket), audits robots.txt and CDN-level AI-crawler access, removes legacy nosnippet/max-snippet preview restrictions, and confirms key content is server-rendered. Us
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prior
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
AI citability scoring and optimization. Analyzes web page content to determine how likely AI systems (ChatGPT, Claude, Perplexity, Gemini) are to cite or quote passages from the page. Provides a citability score (0-100) with specific rewrite suggestions.
Monthly delta tracking and progress reporting for GEO clients. Compares two GEO audits (baseline vs. current), calculates score improvements across all categories, tracks action item completion, and generates a "here's your progress" client report. Use when user says "compare", "
Content quality and E-E-A-T assessment for AI citability — evaluate experience, expertise, authoritativeness, trustworthiness, and content structure
AI crawler access analysis. Checks robots.txt, meta tags, and HTTP headers to determine which AI crawlers can access the site. Provides a complete access map and recommendations for maximizing AI visibility while maintaining appropriate control.
Query fan-out and topic-cluster optimization for AI search. Maps a topic's full sub-query space, audits cluster coverage against what engines actually fan out into, and engineers titles and URL slugs for semantic match with fan-out queries. Use when a site needs to win citations
Analyzes and generates llms.txt files -- a lightweight anti-hallucination facts hedge that tells AI systems your canonical business facts and key pages. NOT an AI-visibility or citation lever (debunked by Google, Zyppy, and SE Ranking). Can validate existing llms.txt files or gen
Volatility-aware AI-visibility measurement. Designs fixed prompt panels, computes share-of-citation per engine, tracks citation position and turn-1 concentration, and reports trends without overreacting to structural platform swings. Use when measuring whether GEO work is actuall
Platform-specific AI search optimization — audit and optimize for Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot individually
Auto-generate a professional, client-ready GEO service proposal from audit data. Creates a full proposal in markdown and PDF including executive summary, findings, recommended service packages (Basic/Standard/Premium), pricing, timeline, and terms. Use when user says "proposal",
CRM-lite for managing GEO agency prospects and clients. Track leads through the full sales pipeline: Lead → Qualified → Proposal Sent → Won → Lost. Store audit history, notes, deal values, and generate pipeline summaries. Use when user says "prospect", "lead", "client", "pipeline
Generate a professional, client-facing GEO report combining all audit results into a single deliverable with scores, findings, and prioritized actions
Generate a professional PDF report from GEO audit data using ReportLab. Creates a polished, client-ready PDF with score gauges, bar charts, platform readiness visualizations, color-coded tables, and prioritized action plans.
Schema.org structured data audit and generation for rich results and entity clarity — detect, validate, and generate JSON-LD markup. Schema is NOT an AI-citation lever (Ahrefs controlled study, May 2026); it earns rich results and keeps entity data unambiguous.
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.
/sync-automation-setup
Sync automation setup
Setup automated synchronization workflows
/sync-conflict-resolver
Sync conflict resolver
Resolve synchronization conflicts automatically
/sync-issues-to-linear
Sync issues to linear
Sync GitHub issues to Linear workspace
/sync-linear-to-issues
Sync linear to issues
Sync Linear tasks to GitHub issues
/sync-pr-to-task
Sync pr to task
Link pull requests to Linear tasks
/sync-status
Sync status
Monitor GitHub-Linear sync health status
/sync
Sync
Synchronize task status with git commits, ensuring consistency between version control and task tracking.
/system-behavior-simulator
System behavior simulator
Simulate system performance under various loads with capacity planning, bottleneck identification, and optimization strategies.
/task-from-pr
Task from pr
Create Linear tasks from pull requests
/tdd
Tdd
Test-driven development workflow with Red-Green-Refactor process and branch management
/team-workload-balancer
Team workload balancer
Balance team workload distribution
/test-changelog-automation
Test changelog automation
Automate changelog testing workflow
/test-coverage
Test coverage
Analyze and report test coverage
/testing_plan_integration
Testing plan integration
I need you to create an integration testing plan for $ARGUMENTS
/timeline-compressor
Timeline compressor
Accelerate scenario testing with rapid iteration cycles, confidence intervals, and compressed decision timelines.
/todo
Todo
Manage project todos in a todos.md file with add, complete, remove, and list operations
/troubleshooting-guide
Troubleshooting guide
Generate troubleshooting documentation
/ultra-think
Ultra think
Deep analysis and problem solving mode
/unity-project-setup
Unity project setup
Sets up a professional Unity project with industry-standard structure and configurations
/update-branch-name
Update branch name
Update current git branch name based on analysis of changes made
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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