schmitthub/clawker
Claude Code agent-in-container orchestration and automation
Source: https://github.com/schmitthub/clawker
Discovered during the daily awesomeskills.dev agent-skill hunt.
Claude Code agent-in-container orchestration and automation
npx skills add schmitthub/clawkerClaude Code agent-in-container orchestration and automation
Source: https://github.com/schmitthub/clawker
Discovered during the daily awesomeskills.dev agent-skill hunt.
🤖 Showcase how six AI agents collaborate to build a full Claude Cowork content plugin in minutes using Agent Teams.
Convert handwritten notes and scanned PDFs into clean, Overleaf-ready LaTeX files with full math and step-by-step detail
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
Make AI coding agents follow your process: satellites gates every story transition through reviewer skills, so work can't reach 'done' by skipping steps. Config-over-code, repo-agnostic.
Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named patterns, contracts, and substrate portability, before you write them.
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding checklist," "aha moment," "new user experience," "users aren't activating," "nobody completes setup," "low activation rate," "users sign up but don't use the product," "time to value," or "first session experience." Use this whenever users are signing up but not sticking around. For signup/registration optimization, see signup. For ongoing email sequences, see emails.