Renewal-workflow runbook: find renewals 90/60/30 days out, assemble the value/usage/expansion packet, draft outreach, and flag at-risk renewals.
beeuni marketplace install beeuni-starter:renewal-prep-skillbeeuni_renewal_stage_alerted property marks the last window surfaced), not
in a local ledger file. A sweep can find several accounts at once; handle each
as an independent unit — a failure preparing one account's packet is logged
and skipped, never blocking any other account in the same sweep.
{{renewal_date_property}} set:GET /crm/v3/objects/deals/search
filterGroups: [
{ propertyName: "{{renewal_date_property}}", operator: "LTE", value: <today + 90d> },
{ propertyName: "dealstage", operator: "NEQ", value: "closedlost" }
]
properties: ["{{renewal_date_property}}", "amount", "dealstage", "hubspot_owner_id",
"beeuni_renewal_stage_alerted", "notes_last_updated", "hs_lastmodifieddate"]
beeuni_renewal_stage_alerted already equals that bucket — it was
packeted on a prior run. A deal moving into a new, tighter bucket (e.g. 90 →
60) always gets a fresh packet, since more has likely changed.hubspot_owner_id → name). Read prior call and email activity to reconstruct
what's been delivered and discussed since the account signed or last renewed.| Signal | What it means |
|---|---|
| Stage unchanged for an extended period | Deal has stalled |
| Contract value trending down vs. last term | Account may be scaling back |
| No logged activity in a long stretch | Relationship's gone quiet |
| Notes mentioning a competitor, budget freeze, or churn intent | Explicit risk |
beeuni_renewal_stage_alerted on each packeted deal to the bucket just
surfaced (with a timestamp). This is the only HubSpot write — never the deal
stage, amount, or pipeline.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).