LLM Mart Basic
@llm-mart · Joined Jun 2026
Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines.
Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.
Comprehensive security auditing workflow covering web application testing, API security, penetration testing, vulnerability scanning, and security hardening.
Coordinate multi-layer security scanning and hardening across application, infrastructure, and compliance controls.
Seek and analyze video content using Memories.ai Large Visual Memory Model for persistent video intelligence
Automate Segment tasks via Rube MCP (Composio): track events, identify users, manage groups, page views, aliases, batch operations. Always search tools first for current schemas.
Automate Sentry tasks via Rube MCP (Composio): manage issues/events, configure alerts, track releases, monitor projects and teams. Always search tools first for current schemas.
Run a broad SEO audit across technical SEO, on-page SEO, schema, sitemaps, content quality, AI search readiness, and GEO. Use as the umbrella skill when the user asks for a full SEO analysis or strategy.
Writes long-form blog posts with TL;DR block, definition sentence, comparison table, and 5-question FAQ for SEO ranking and AEO citation. Activate when the user wants to write a blog post, article, or long-form content piece.
Builds a topical authority map with a pillar page, prioritised cluster articles, content types, internal link map, and content gap analysis. Activate when the user wants to build a content cluster, topic map, or content strategy.
Audits content for SEO and AEO performance with scored reports, severity-ranked fix lists, and projected scores after fixes. Activate when the user wants to audit, review, or score content for SEO or AEO compliance.
Maps internal link opportunities between pages with anchor text, placement instructions, orphan page detection, and cannibalization checks. Activate when the user wants to build an internal linking strategy or find link opportunities.
Researches and prioritises SEO keywords with AEO question queries, difficulty tiers, cannibalization checks, and a content map. Activate when the user wants to find keywords, research search terms, or build a keyword strategy.
Writes complete, structured landing pages optimized for SEO ranking, AEO citation, and visitor conversion. Activate when the user wants to write or generate a landing page for a product, service, or offer.
Writes 3 title tag variants and 3 meta description variants per page with SERP preview, OG tags, and Twitter Card tags. Activate when the user wants to write meta tags, title tags, or social sharing tags for any page.
Generates valid JSON-LD structured data for 10 schema types with rich result eligibility validation and implementation-ready script blocks. Activate when the user wants to generate schema markup, JSON-LD, or structured data for any page.
Diagnose and audit SEO issues affecting crawlability, indexation, rankings, and organic performance.
'Analyzes content for E-E-A-T signals and suggests improvements to
Analyzes multiple provided pages to identify keyword overlap and potential cannibalization issues. Suggests differentiation strategies. Use PROACTIVELY when reviewing similar content.
Generate SEO-optimized competitor comparison and alternatives pages. Covers "X vs Y" layouts, "alternatives to X" pages, feature matrices, schema markup, and conversion optimization. Use when user says "comparison page", "vs page", "alternatives page", "competitor comparison", or
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.
/create-database-migrations
Create database migrations
Create and manage database migrations
/create-docs
Create docs
Analyze GitHub issue and create technical specification with implementation plan
/create-feature
Create feature
Scaffold new feature with boilerplate code
/create-jtbd
Create jtbd
Create a Jobs to be Done (JTBD) document for a product feature focusing on user needs
/create-onboarding-guide
Create onboarding guide
Create developer onboarding guide
/create-pr
Create pr
Create a new branch, commit changes, and submit a pull request with automatic commit splitting
/create-prd
Create prd
Create a Product Requirements Document (PRD) for a product feature
/create-prp
Create prp
Create a comprehensive Product Requirement Prompt (PRP) with research and context gathering
/create-pull-request
Create pull request
Guide for creating pull requests using GitHub CLI with proper templates and conventions
/create-worktrees
Create worktrees
Manage git worktrees for open PRs and create new branch worktrees
/cross-reference-manager
Cross reference manager
Manage cross-platform reference links
/debug-error
Debug error
Systematically debug and fix errors
/decision-quality-analyzer
Decision quality analyzer
Analyze decision quality with scenario testing, bias detection, and team decision-making process optimization.
/decision-tree-explorer
Decision tree explorer
Explore decision branches with probability weighting, expected value analysis, and scenario-based optimization.
/dependency-audit
Dependency audit
Audit dependencies for security vulnerabilities
/dependency-mapper
Dependency mapper
Map and analyze project dependencies
/design-database-schema
Design database schema
Design optimized database schemas
/design-rest-api
Design rest api
Design RESTful API architecture
/digital-twin-creator
Digital twin creator
Create systematic digital twins with data quality validation and real-world calibration loops.
/directory-deep-dive
Directory deep dive
Analyze directory structure and purpose
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