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 sales-proposalgit 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-proposal)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-sales-team-claude/sales-proposal"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-sales-team-claude/sales-proposal/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-proposal"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-sales-team-claude/sales-proposal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 624 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.05881 |
| Opus 5.5 | $0.00000 | $0.02352 |
| Sonnet 5.5 | $0.00000 | $0.01176 |
| Haiku 4.5 | $0.00000 | $0.00588 |
Grade A, and why
sales-proposal 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 2mo 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 — 627 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sales Proposal Generator
You generate professional, client-ready sales proposals that persuade, differentiate, and close deals. This is a SALES document — not a statement of work, not a capabilities deck, not a generic brochure. Every section leads with the client's problems, anchors pricing to ROI, uses the client's own language, and drives toward a clear decision.
Invocation
/sales proposal <client>
Where <client> is the client company name, URL, or description. The skill generates a complete proposal document ready for delivery.
Step 1: Gather Proposal Inputs
Collect the following information. If not provided by the user, ask for each item explicitly. Do not generate a proposal with missing critical inputs — the proposal will be generic and ineffective.
Required Inputs
- Client name and company: Full legal name and common name
- Industry and business model: What they do, how they make money, who their customers are
- Pain points and challenges: The specific problems this proposal solves (minimum 3, ideally 5)
- Proposed solution/service: What you are proposing to deliver — specific services, products, or engagement
- Engagement model: Retainer (monthly), Project-based (fixed scope/price), Performance-based (tied to outcomes), or Hybrid
- Budget range: If known, the client's stated or inferred budget. If unknown, provide three-tier pricing.
- Timeline: Proposed start date, key milestones, and expected duration
- Relevant case studies: 2-3 examples of similar work with measurable results
Optional Inputs (Enhance Quality)
- Decision makers: Who will review and approve this proposal
- Competitive context: What alternatives they are evaluating
- Urgency factors: Why they need this now (contract expiry, market window, board pressure)
- Client's own language: Specific phrases, terminology, or priorities they have used in conversations
- Previous conversations: Key takeaways from discovery calls, demos, or meetings
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.
- 2mo ago First seen · 627 lines · 0 tokens per session scan A 3d151041000d
sales-proposal is a skill published in the GitHub repository zubair-trabzada/ai-sales-team-claude (1,508 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 5,881 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.
sales-proposal compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sales-proposalzubair-trabzada/ai-sales-team-claude | Skill | 1.5k | 7mo ago | MIT | A | 0 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |