claudecodex

Rippit

Analyze your support conversations and business data from your AI tool. Rippit builds AI columns over your own tickets, calls, and chats to answer why-questions, categorize at scale, and write reports grounded in verbatim customer quotes.

0 on GitHubby Rippitv0.1.0MITupdated 14 days agoproductivity
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Plugin rippit from marketplace rippit in adtribute/rippit-plugin. Commands read from the repo's manifest — 13 days ago.

What it installs

Skills (7)

  • rippit-aeo-seo-optimization

    Build an SEO- and AEO-optimized content program grounded in a company's own conversation data (support chats, sales calls, etc.) via the Rippit MCP. Adopts the framing "I am a marketing leader looking to optimize our SEO and AEO," asks which topics/keywords to win, discovers which Rippit sources bes

  • rippit-chatbot-analysis

    Analyze support conversations to find where an AI chatbot underperforms and human agents excel, turn those gaps into a prioritized knowledge-base build list, and (when a help center is connected) reconcile the gaps against existing documentation. Works with any helpdesk, any chatbot, and any help ce

  • rippit-double-click

    Go progressively DEEPER on a specific customer question with the Rippit MCP by repeatedly narrowing into a SUBSET of the SAME tickets. Enrich a worksheet, filter to the interesting subset, build a child worksheet over just those rows, and enrich it more richly; repeat. The population only NARROWS ea

  • rippit-escalation-finder

    Detect brewing escalations in a Rippit customer's support tickets — conversations at risk of turning into legal action, a public/social-media blow-up, or an exec/board complaint — and deliver the top examples as a ready-to-post Slack update. Use this whenever the user asks to find, surface, monitor,

  • rippit-qa-program-revamp

    Build and run a repeatable "ticket-insights" QA program that measures something meaningful on EVERY support ticket — contact reason, root cause, avoidability, resolution quality, product signal, and churn/at-risk — instead of just scoring agents. Use this whenever the user wants to redesign, rebuild

  • rippit-support-shoutouts

    Find the best "above and beyond" customer-support conversations — where an agent went the extra mile and the customer was visibly grateful — and turn them into a polished recognition message for Slack (or another chat channel). Use this whenever someone wants to celebrate, recognize, or shout out su

  • rippit-tool-bakeoff

    Run a controlled head-to-head ("bake-off") between two or more analysis tools (e.g. the Rippit MCP vs. a Snowflake/SQL MCP, or any data/connector MCP) on the SAME deep-dive question, using isolated Cowork sub-agents, then present each tool's output and the process behind it side by side in the chat

MCP servers (1)

  • rippit

    connects to: https://mcp.rippit.com/mcp

View source on GitHub rippit.com

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