SuperAPI AI Directory

ai-revops

Marketing & growth

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Updated 10-15 19:55

About this skill

ai-revops RevOps Diagnostic Assistant

Quick Start

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Overview

The RevOps Diagnostic Assistant is used to answer "where is the revenue process blocked," sales growth, customer research, and deal efficiency. It is suitable for sales, marketing, operations, and software to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as customer materials or communication records, pasted customer materials, communication records, email drafts, call summaries, objection information, or deal goals, organizes key context, and outputs conversion issue priorities, replicable rewrites, experiments, or follow-up action lists for continued execution, review, or delivery. Capability positioning supplement: skills.sh all-time/trending signals show that revops has user demand; the platform displays it as a growth_cro_sales business assistant directory, outputting reviewable diagnostics, recommendations, or production-ready packages.

When to Use

Applicable Scenarios

  • The user raises questions such as "where is the revenue process blocked" and needs to quickly break down goals, determine priorities, and form executable results
  • Sales, marketing, operations, and software need to generate conversion issue priorities, replicable rewrites, experiments, or follow-up action lists around the RevOps Diagnostic Assistant
  • The user has already prepared the advancement goal (explain the talk track, objection handling, qualification judgment, follow-up plan, or review goal desired for this session), customer role (explain the customer role, industry, stage, decision chain, or communication target), customer or company link (fill in a publicly accessible link to the customer company, product, competitor, or background materials), and hopes to organize it into executable analysis or optimization results
  • The user needs to turn RevOps Diagnostic Assistant-related materials into clear conclusions, priorities, and next actions

How to Invoke

Directly call the AI Skills API through the exported Python runner:

Command Example

Basic Invocation

python3 scripts/run.py --params '{}'

Invocation with Common Parameters

python3 scripts/run.py --params '{"goal":"推进目标"}'

Parameter Description

Parameter Type Required Default Description
goal string No - Explain the talk track, objection handling, qualification judgment, follow-up plan, or review goal desired for this session
audience string No - Explain the customer role, industry, stage, decision chain, or communication target
materialUrl string No - Fill in a publicly accessible link to the customer company, product, competitor, or background materials; a complete accessible URL must be provided
materialFile string No - Upload customer background, sales materials, meeting minutes, email records, or pipeline materials
materialText string No - Paste customer materials, communication records, email drafts, call summaries, objection information, or deal goals
brandRequirements string No - Supplement price boundaries, commitment limits, competitor information, risk points, prohibited wording, or key points for manual review

For the complete machine-readable parameter structure, see references/form-schema.json。

Parameter Value Reference

This skill currently has no categorical parameters that require additional table lookup.

Supported Input Formats

The current skill directly receives JSON parameters; if the parameters include a link field, please pass a complete, accessible URL.

Example request

The example parameters below can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"goal":"推进目标"}'

Equivalent --params JSON:

{
  "goal": "推进目标"
}

Example return result

{
  "success": true,
  "data": {
    "message": "示例结果请以技能真实返回结构为准。"
  },
  "meta": {
    "executionTime": 842,
    "cached": false
  }
}

Deliverables

  • Conversion issue priorities, copy-ready revisions, experiments, or follow-up action checklist: organize core results around the user's goals that can be read, reviewed, or delivered directly.
  • Interpretation of input materials: combine the advancement goal (explain the messaging, objection handling, qualification judgment, follow-up plan, or review goal you want to prepare for this time.), customer role (explain the customer role, industry, stage, decision-making chain, or communication target.), customer or company link (provide a publicly accessible link to the customer company, product, competitor, or background information.) to extract key context and the basis for judgment.
  • Next steps: provide priorities, execution suggestions, or a content framework that can be further processed.

Suggestions for using the results

  • First determine whether the output answers the user's core questions about "RevOps Diagnostic Assistant".
  • Then check whether the results cover conversion issue priorities, copy-ready revisions, experiments, or follow-up action checklist, and whether clear next steps are provided.
  • If the input materials are limited, it is recommended to have the user supplement the goals, audience, constraints, or original materials before running.

Preparation before running

  • AISKILLS_BASE_URL: default https://ai-skills.ai
  • AISKILLS_API_KEY: required, used for authenticated calls
  • AISKILLS_TENANT_ID: default default