AgentKit SEO

Overview

Use this skill as the orchestrator for the whole repository. Its main job is to select the right module skill, avoid loading irrelevant platform rules, and sequence cross-platform work in a sane order.

Routing workflow

1. Identify the target surface from the request.
2. Load only the matching module skill unless the user explicitly asks for a cross-platform pass.
3. If the request spans multiple surfaces, start with agentkit-seo-agent-context-optimization so the factual source of truth is stable before editing platform outputs.
4. If the request involves technical issues with the skill system, consult the main repository documentation.

For broad requests with no clear surface:

• Active applications or job-description tailoring: route to agentkit-seo-cv-ats.
• Recruiter discovery or profile search: route to agentkit-seo-linkedin.
• Proof-of-work, repositories, or developer credibility: route to agentkit-seo-github or agentkit-seo-web-portfolio, based on the supplied asset.
• Audience building, posting strategy, or public conversation loops: route to agentkit-seo-x-twitter.
• Conflicting, scattered, or cross-platform facts: route to agentkit-seo-agent-context-optimization first.

Token discipline

• Route to one module by default.
• Load the agent context file before platform references only when facts, consistency, or cross-surface rewriting matter.
• Prefer public URL inspection, local search, or a compact pasted section over asking the user to dump every asset into the prompt.
• Summarize inspected inputs and ask for the smallest missing input set.
• Do not expand into algorithm explanation unless the user asks why.

Intake workflow