The four-rung dunning ladder, minimum wait times between rungs, and the ledger format that carries each subscription's recovery state across hourly runs.
beeuni marketplace install beeuni-starter:dunning-escalation-skillmemory/payment-recovery-ledger.md. For every subscription
already tracked, note its current rung, the timestamp of its last action, and
its next-eligible-escalation time. Anything not yet on the ledger is a
candidate for Step 2.now >= next-eligible time; if
not, leave it alone this run.| Rung | Name | Action | Minimum wait before this rung |
|---|---|---|---|
| 1 | Smart retry | Retry the failed charge against the existing payment method via Stripe (off-session), no email sent yet | Immediately on first failure |
| 2 | Payment reminder | Friendly email: the charge didn't go through, here's the amount and a pay link | 24h after rung 1 if still failing |
| 3 | Update-your-card notice | Firmer email naming the likely cause (expired/declined card) with a direct link to update the payment method | 48h after rung 2 if still failing |
| 4 | Final notice | Clear, professional email stating this is the last automated reminder before the account needs manual attention | 72h after rung 3 if still failing |
awaiting-human on the ledger and
surface it in the Slack summary every run until a person acts or it pays.
Never cancel the subscription, issue a credit, or process a refund — that
decision, and the action, belongs to a human.recovered on the ledger with the rung it
was on when it cleared, stop sending it anything, and report it as a recovery
in the summary.awaiting-human, and
subscriptions that recovered since the last run. Omit subscriptions with no
change.memory/payment-recovery-ledger.md
(see <ledger-format>) before ending the turn.Get a complete picture of any company or person before outreach. This skill always works with web search, and gets significantly better with enrichment and CRM data.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
Route code, repository, and data/SQL work to isolated Beeuni sessions instead of burning your main context on it. Use when asked to implement a feature, fix a bug, make failing tests pass, work a ticket/issue, refactor, navigate or change a codebase, ship a PR, review a pull request, or run SQL/warehouse analysis against a dataset — and when the user wants two agents or parallel reviewers/investigators on the same work. Covers the explore-vs-session routing call, deciding where the code lives (this project's repo vs cloning an external GitHub repo) or where the data lives, finding the repo with gh, spawning sessions in parallel, dual PR reviews, and reporting results back. Triggers: 'implement', 'fix the bug', 'make the tests pass', 'work this ticket', 'refactor this', 'open a PR', 'review this PR', 'run two agents on it', 'query the warehouse', 'analyze this dataset'.
Convert Word (.doc, .docx), PowerPoint (.ppt, .pptx), Excel (.xls, .xlsx), OpenDocument (.odt, .ods, .odp), RTF, EPUB, CSV, and PDF files to GitHub-Flavored Markdown. Use when a task needs the contents of an office document, spreadsheet, presentation, ebook, or PDF you cannot read directly.
Deep research agent skill. Use when the user needs thorough, scientific, truth-seeking research on any topic -- investigating claims, finding primary sources, synthesizing evidence, producing cited reports. Triggers on: 'research this', 'investigate', 'deep dive', 'find sources', 'what does the evidence say', 'literature review', 'fact check', 'analyze the research on', any request requiring multi-source investigation with citations.
Artifact-agnostic design guidance — works for CSS, PowerPoint, matplotlib, PDF, or any visual output. Also includes a curated catalog of named font/color themes for slides, docs, and reports (non-web assets).