Video & Animation

Run an on-device Android control loop that inspects screens and performs app actions locally for mobile automation and testing workflows.

Connect LLMs to MCP servers through composable patterns like router, evaluator-optimizer, and orchestrator flows without hand-managing server lifecycles.

Use BlenderMCP when an MCP-capable agent needs to inspect, create, and modify Blender scenes through a controlled Blender bridge.

Let an agent drive a real logged-in Chrome profile through MCP for authenticated browsing, parallel tab work, and token-efficient page interaction without re-authenticating each run.

Use Browser MCP to let an MCP-capable agent drive a user

Creates detailed SEO content briefs using Ahrefs API keyword data, SurferSEO NLP analysis, and Clearscope content grading. Generates outlines with target word counts, headers, and semantic keyword clusters.

Identifies keyword cannibalization across site pages by analyzing Google Search Console Performance API data, extracting query-page pairings, and detecting overlap using TF-IDF cosine similarity scoring. Generates merge recommendations and 301 redirect maps via Screaming Frog exports.

Analyzes and optimizes content readability using textstat Python library and Hemingway API patterns. Computes Flesch-Kincaid, Gunning Fog, and SMOG indices with automated rewriting suggestions.

Scores content using Flesch-Kincaid, Gunning Fog, and SMOG readability indices via textstat Python library. Provides sentence-level rewrite suggestions using OpenAI GPT-4o API.

Contact Form 7 is the long-running WordPress forms plugin from Rock Lobster Inc., with more than 10 million active installs and official documentation at contactform7.com. This skill is for agents that need to understand how a site’s forms, mail templates, validation behavior, and shortcode placements are actually handled in Contact Form 7.

Force LLM outputs into typed schemas, enums, JSON-like structures, and routing records during generation instead of repairing malformed text afterward.

Use BatchData property and address APIs from MCP clients to enrich real-estate research and operations workflows.

Expose Zendesk tickets, comments, and Help Center context to MCP-capable agents for supervised support workflow preparation.

Use Lobster when an OpenClaw operator wants one deterministic typed workflow step, with approval gates and resumable execution, instead of re-planning the same multi-step tool sequence in chat.

Use the built-in JetBrains MCP server to let Codex, Claude Desktop, Cursor, VS Code, and other MCP clients inspect and operate an open IntelliJ-based project.

Use ClaudeR to expose an active RStudio session to MCP-capable coding and research agents for R execution, plots, manuscript audits, and multi-agent analysis.

Resolve Python dependency inputs into deterministic lock files and sync environments without hand-editing transitive pins.

Tracks cyclomatic and cognitive complexity trends using lizard CLI and radon for Python analysis. Generates weekly complexity reports with git-integrated change attribution per module.

Set up Craft Agents workspaces with connected sources, imported skills, MCP servers, permission modes, and session workflow states for supervised agent work.

Use csv-diff when an agent needs to explain what changed between two structured exports, not just that the files differ. The agent lines records up by a stable key, reports added, removed, and changed rows, and can hand the result to humans or downstream automations as readable text or machine-friendly JSON.

Queries the Common Crawl Index API and CC-MAIN collections to surface historical URL coverage, MIME types, and crawl snapshots at scale. Handy for research workflows that need broad web recall without building a full crawler from scratch.

Ask multiple model and CLI-backed coding agents the same question from Claude Code, then compare individual answers and a synthesized recommendation.

Lets an agent run dbt parity checks, relation diffs, and row or value comparisons so refactors and source swaps can be verified before rollout.

Conftest is a CLI tool that tests structured configuration data using the Open Policy Agent Rego language. It validates Kubernetes manifests, Terraform configs, Dockerfiles, CI pipelines, and any other structured format against custom policy rules.