v2.13.2 · MIT
"ULTRASHIP" Claude Code plugin — 39 skills, 33 tools, 11 agents for ship-ready workflows: planning, review, pentesting, safety guardrails, canary monitoring, SEO/AI-readiness check, penetration testing, code review, competitive analysis, incident response. 1 dependency. 180 tests. MIT.
v0.27.15 · MIT
Open-source SEO, GEO, and marketing skills for AI agents.
v0.19.0 · MIT
Open-source AI skills for SEO, AI search visibility, conversion copy, marketing strategy, and business operations. Reusable workflows for Claude Code and Codex, plus code review, app delivery, and creator tools.
v0.0.69 · MIT
18 Google Maps tools and 3 Agent Skills for place search, routes, travel planning, and local SEO—via MCP or standalone CLI.
v0.22.0 · no license
OpenRouter for agent tools. Join community here: https://discord.gg/6mQYYfFMAn
v1.4.0 · MIT
Can AI engines cite your site, and do they? Free 0–100 readiness score on an open GEO rubric, plus citation tracking via the OpenAI, Perplexity, Gemini and Claude APIs with your own keys. Zero dependencies, MCP server.
— · MIT
A build playbook that turns your coding agent into the foreman of a website build. It interviews you, forces the design and scope decisions, locks a visual system, writes the build brief, then verifies, ships, and indexes the site. Claude Code plugin and Agent Skill. Markdown only, no scripts.
— · MIT
Open-source marketing skills for founders. Keyword research, growth strategy, social search audit, competitor analysis. Install with npx skills.
— · Apache-2.0
Multi-agent orchestration platform for Gemini CLI, Claude Code, Codex, and Qwen Code — 39 specialists, parallel subagents, persistent sessions, and built-in code review, debugging, security, SEO, accessibility, and compliance tools
— · MIT
A minimal, evidence-gated harness for Codex and Claude Code: reuse what works, add only what is missing, verify before evolving.
— · See LICENSE file in repository root
Audit a website with the squirrelscan CLI and fix the findings in code. Runs SEO, performance, security, technical, content, accessibility, and 15 other rule categories (260+ rules), returns an LLM-optimized report, then drives an iterative fix loop, mapping issues to source files, applying fixes, a