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130,358 skills indexed with the new KISS metadata standard.
[Agent Skills](https://agentskills.io) for the elisym decentralized AI marketplace. These skills are installed into a coding agent (Claude Code, Cursor, Windsurf, etc.) via Vercel's Skills CLI and let the agent drive elisym's CLI and MCP server on the user's behalf.
This directory contains samples and resources for building AI agents with Google Cloud.
The current year is 2026.
comment_severity_threshold: LOW
Run a full SEO + AEO + GEO audit on a website or codebase. Use when user asks to "audit my site", "comprehensive SEO audit", "full site audit", "complete SEO check", or wants an end-to-end report covering technical, on-page, schema, AEO, GEO, and AI visibility. Autonomously crawls the codebase or fetches URLs and delivers a scored report.
Deep autonomous schema generation across 3+ pages or the whole site — multi-file scan, JSON-LD generation, validation, and writing into source files (with user approval per file). Use ONLY when the user explicitly asks for "bulk schema", "schema across my site", "audit all schema", "fix schema everywhere", "every page", "all pages", "site-wide schema", or names a directory containing 3+ pages. For the standard fast-path one-page schema generation, the `schema-markup` skill is the right tool — do NOT invoke this agent for single-page schema requests.
Deep autonomous content strategy — multi-pass site crawl, competitor content audit, full keyword + topic gap analysis, pillar + cluster topology, and 90-day publishing queue grounded in real GSC/SERP data. Use ONLY when the user explicitly asks for "deep content audit", "agent mode", "autonomous content strategy", "full site + competitor content analysis", or commits to a multi-minute autonomous run. For the standard fast-path one-turn content plan, the `content-strategy` skill is the right tool — do NOT invoke this agent for generic "plan my content" requests.
Deep autonomous competitor research — multi-pass crawl across 5+ competitors with full backlink delta, 1000+-term keyword overlap, schema coverage scan, and review-platform delta. Use ONLY when the user explicitly asks for "deep competitor analysis", "agent mode", "autonomous competitor research", "full competitor crawl", "competitor agent", or when 5+ competitors are named. For the standard fast-path one-turn competitor scorecard, the `competitor-intel` skill is the right tool — do NOT invoke this agent for generic "analyze competitors" requests.
Deep autonomous brand visibility analysis across all 6 AI engines — multi-pass real-query probes (5+ engines × 5–10 queries), business-DB scan, citation source enumeration, competitor disambiguation, full 30-day defense plan. Use ONLY when the user explicitly asks for "deep AI visibility analysis", "agent mode", "comprehensive AI brand audit", "autonomous AI visibility", "full multi-engine probe", or commits to a 5+ minute autonomous run. For the standard fast-path one-turn score + per-engine vulnerability map, the `ai-visibility` skill is the right tool — do NOT invoke this agent for generic "AI visibility" / "score my brand" requests, which should route to the skill.
25+ specialized AI agents for advertising automation. Each agent is a markdown file containing identity, capabilities, workflows, and success metrics that can be loaded into Claude Code, Cursor, Gemini CLI, and other AI coding tools.
Use when validating a PR title and description for conventional commit format, issue linking keywords, and template compliance before submission
Prove it works. Multi-dimensional quality validation across functional, non-functional, security, DevOps, DX, and observability. Run after /build.
Define what to build. Transform a problem into testable requirements with acceptance criteria.
Ship it. Pre-flight validation, CI check, and PR creation. Run after /review.
scripts:
Autonomous PR monitor and fixer per docs/autonomous-pr-monitor.md. Triages open PRs by tier, addresses thread feedback, fixes CI failures, and enables auto-merge when the 4-condition Ready-to-Merge gate passes.
Plan how to build it. Decompose specs into milestones with dependencies and risk mitigations. Run after /spec.
Build incrementally. Implement changes in thin vertical slices with TDD and atomic commits. Run after /plan.
display_name: "LLMInternSkill"
Hermes, in this lane, produce a research brief on the most useful recent papers and threads across this frontier:
Use as a control room.
Hermes, use the provided dataset directly.
Hermes, in this lane, build a polished single-page website prototype for a company called Northstar Systems.
Orchestrates multiple research subagents to discover trending topics, content formulas, and inspiration for creating content ideas across YouTube Videos, Shorts, Twitter posts, and LinkedIn posts tailored to our brand and business goals.