Turn video scripts into structured retention audits — map hook failures, desertion windows, and re-engagement fixes using attention psychology.
Wraps each phase of a long AI task in a start-check / work / end-check bracket — and re-anchors the original instructions at every phase boundary so the agent cannot drift from its rules or skip verification as the session grows longer.
Launching doesn't have to mean failure. People might have reached their goal... and then stopped at one step. Reveal 1,000 visits → 100 signups → 10 activations → 3 payments, then isolate the next question.
Turn one-time buyers into a 0-90 day post-purchase retention journey. This skill maps activation, nurture, repeat purchase, reactivation, segmentation, message cadence, product-success content, repurchase offers, email / community touchpoints, and spam boundaries.
Checks timesheets against your overtime and break policy, flags issues before you run payroll. Works from your own stated rules, not guesses.
Your agent forgets why it decided things once the conversation gets summarised. Session Checkpoint keeps a STATUS.md at your project root — current state, the exact next command, decisions with their reasons, pitfalls already hit — and installs a session hook that reloads it automatically, so every new session opens with a briefing instead of amnesia.
A kickoff protocol (agent skill) for multi-step tasks. Before writing any code, the agent must: run a spec interview, batch every human-authorization step into one checklist, build a self-verification loop (log sink + verify script + dry-run) *before* the feature itself, and build comparable variants instead of blocking on third-party decisions.
This SKILL allows you to keep track of all your sent job applications, saving you from the madness of searching through your emails every time. It connects to the Google Calendar, Gmail, and Notion MCPs. The result is a constantly updated table where you can view the company name, role, current application status, last update, and final notes.
