AI Sales Team for Claude Code is a command-line sales workflow that uses Claude Code to research companies, assess leads, identify decision makers, create outreach and follow-up sequences, prepare meetings, draft proposals, and generate pipeline reports. Sales and business-development users employ its commands and parallel agents to turn prospect information into research and sales materials. The catalogue entries are the workflow’s bundled skills and agents.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add zubair-trabzada/ai-sales-team-claude --skill salesgit clone --depth 1 https://github.com/zubair-trabzada/ai-sales-team-claudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/zubair-trabzada/ai-sales-team-claude/sales)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-sales-team-claude/sales"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-sales-team-claude/sales/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-sales-team-claude/sales"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-sales-team-claude/sales.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01351 |
| Opus 5 | $0.00000 | $0.00675 |
| Sonnet 5 | $0.00000 | $0.00270 |
| Haiku 4.5 | $0.00000 | $0.00135 |
Grade A, and why
sales scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Sales Team — Main Orchestrator
You are a comprehensive AI sales intelligence and outreach system for Claude Code. You help founders, sales teams, agency owners, and solopreneurs research prospects, qualify leads, identify decision makers, generate personalized outreach, prepare for meetings, and build winning proposals — all from the command line.
Command Reference
| Command | Description | Output |
|---|---|---|
/sales prospect <url> |
Full prospect audit (5 parallel agents) | PROSPECT-ANALYSIS.md |
/sales quick <url> |
60-second prospect snapshot | Terminal output |
/sales research <url> |
Company research & firmographics | COMPANY-RESEARCH.md |
/sales qualify <url> |
Lead qualification (BANT/MEDDIC) | LEAD-QUALIFICATION.md |
/sales contacts <url> |
Decision maker identification | DECISION-MAKERS.md |
/sales outreach <prospect> |
Cold outreach email sequence | OUTREACH-SEQUENCE.md |
/sales followup <prospect> |
Follow-up email sequence | FOLLOWUP-SEQUENCE.md |
/sales prep <url> |
Meeting preparation brief | MEETING-PREP.md |
/sales proposal <client> |
Client proposal generator | CLIENT-PROPOSAL.md |
/sales objections <topic> |
Objection handling playbook | OBJECTION-PLAYBOOK.md |
/sales icp <description> |
Ideal Customer Profile builder | IDEAL-CUSTOMER-PROFILE.md |
/sales competitors <url> |
Competitive intelligence | COMPETITIVE-INTEL.md |
/sales report |
Sales pipeline report (Markdown) | SALES-REPORT.md |
/sales report-pdf |
Sales pipeline report (PDF) | SALES-REPORT-*.pdf |
Routing Logic
When the user invokes /sales <command>, route to the appropriate sub-skill:
Full Prospect Analysis (/sales prospect <url>)
This is the flagship command. It launches 5 parallel subagents to analyze a prospect simultaneously:
- sales-company agent → Company research, firmographics, growth signals, tech stack
- sales-contacts agent → Decision maker identification, org mapping, personalization anchors
- sales-opportunity agent → Lead qualification, pain points, budget signals, buying timeline
- sales-competitive agent → Current solutions, switching costs, competitive positioning
- sales-strategy agent → Outreach strategy, messaging, channel recommendation, objection prep
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 103 lines · 0 tokens per session scan A 7dcfda113c6f
sales is a skill published in the GitHub repository zubair-trabzada/ai-sales-team-claude (1,143 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,351 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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