ai-cold-email

ai-cold-email Cold Email Diagnostic Assistant

Quick Start

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Overview

The Cold Email Diagnostic Assistant is used to answer "why isn't the customer replying to me," sales growth, customer research, and closing 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 information, communication records, email drafts, call summaries, objection information, or closing goals, organizes key context, and outputs a prioritized list of conversion issues, copy-ready revisions, and experiments or follow-up actions for continued execution, review, or delivery. Capability positioning supplement: skills.sh all-time/trending signals show that cold-email has user demand; the platform presents 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 "why isn't the customer replying to me" and needs to quickly break down goals, determine priorities, and form executable results
• Sales, marketing, operations, and software need to generate a prioritized list of conversion issues, copy-ready revisions, and experiments or follow-up actions around the Cold Email Diagnostic Assistant
• The user has already prepared advancement goals (explain the messaging, objection handling, qualification judgment, follow-up plan, or review goals desired for this preparation.), customer role (explain the customer role, industry, stage, decision chain, or communication target.), customer or company link (fill in publicly accessible links to the customer company, product, competitors, or background materials.), and wants to organize them into executable analysis or optimization results
• The user needs to turn materials related to the Cold Email Diagnostic Assistant into clear conclusions, priorities, and next steps

How to Invoke

Call the AI Skills API directly through the exported Python runner:

Command Examples

Basic Call

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

Call 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 messaging, objection handling, qualification judgment, follow-up plan, or review goals desired for this preparation
audience	string	No	-	Explain the customer role, industry, stage, decision chain, or communication target
materialUrl	string	No	-	Fill in publicly accessible links to the customer company, product, competitors, 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 closing goals
brandRequirements	string	No	-	Supplement price boundaries, commitment limits, competitor information, risk points, prohibited phrasing, 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 classification parameters that require additional table lookup.

Supported Input Formats

The current skill directly receives JSON parameters; if the parameters include a link field, please provide 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 response

{
  "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 checklists: organize the 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 assessment, follow-up plan, or review goal you want to prepare this time.), customer role (explain the customer role, industry, stage, decision chain, or communication target.), and customer or company link (provide publicly accessible links to the customer company, product, competitors, or background materials.) to extract key context and the basis for judgment.
• Next steps: provide priorities, execution suggestions, or a content framework that can be further developed.

Suggestions for using the results

• First determine whether the output answers the user's core questions about the "Cold Email Diagnostic Assistant".
• Then check whether the results cover conversion issue priorities, copy-ready revisions, experiments, or follow-up action checklists, and whether they provide clear next steps.
• If there is little input material, it is recommended to have the user supplement the goals, audience, constraints, or source 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