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
- Identify the target surface from the request.
- Load only the matching module skill unless the user explicitly asks for a cross-platform pass.
- If the request spans multiple surfaces, start with
agentkit-seo-agent-context-optimizationso the factual source of truth is stable before editing platform outputs. - 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-githuboragentkit-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-optimizationfirst.
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
- If the user already has an agent context file, ask for or use its explicit path before rewriting platform assets.
- If the task spans multiple surfaces, or the user's facts are scattered, recommend creating or repairing the agent context file first.
- Do not block a narrow one-off edit on a full context file when the supplied material is already enough.
- For public URLs, fetch or inspect public material when tools allow it and cite which source was used.
- For private or login-gated surfaces, ask the user for pasted section text, screenshots, exports, or a local text file instead of guessing.
- If critical facts are missing, ask only for the minimum extra inputs needed to proceed.
Module map
- LinkedIn work:
agentkit-seo-linkedin - GitHub work:
agentkit-seo-github - CV or ATS work:
agentkit-seo-cv-ats - Web portfolio work:
agentkit-seo-web-portfolio - X or Twitter work:
agentkit-seo-x-twitter - Personal source-of-truth context work:
agentkit-seo-agent-context-optimization
More Information
- Main Repository: https://github.com/agentkit-seo/agentkit-seo
- Documentation: https://agentkit-seo.github.io/
- Modules: Includes specialized logic for GitHub, LinkedIn, CV/ATS, Portfolios, and X/Twitter.