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Geo Prospect

CommunityPopular
zubair-trabzada
geo-prospect

CRM-lite for managing GEO agency prospects and clients. Track leads through the full sales pipeline: Lead → Qualified → Proposal Sent → Won → Lost. Store audit history, notes, deal values, and generate pipeline summaries. Use when user says "prospect", "lead", "client", "pipeline", "crm", "nuovo prospect", "aggiungi cliente", or when managing the business side of GEO services.

Overview

Publisherzubair-trabzada
Repositorygeo-seo-claude
Skill namegeo-prospect
Stars
10.7K
Forks
1.6K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by zubair-trabzada on GitHub. Read the source before you install it.

Installation

Install the Geo Prospect AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zubair-trabzada/geo-seo-claude.git /tmp/geo-seo-claude
mkdir -p .claude/skills
cp -r /tmp/geo-seo-claude/skills/geo-prospect .claude/skills/geo-prospect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Geo Prospect in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Geo Prospect on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Geo Prospect is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GEO Prospect Manager

Purpose

Manage GEO agency prospects and clients through the full sales lifecycle. All data is stored in ~/.geo-prospects/prospects.json (persistent across sessions).


Commands

CommandWhat It Does
/geo prospect new <domain>Create new prospect (interactive prompts)
/geo prospect listShow all prospects with pipeline status
/geo prospect list <status>Filter: lead, qualified, proposal, won, lost
/geo prospect show <id-or-domain>Full prospect detail with history
/geo prospect audit <id-or-domain>Run quick GEO audit and save to prospect record
/geo prospect note <id-or-domain> "<text>"Add interaction note with timestamp
/geo prospect status <id-or-domain> <new-status>Move through pipeline
/geo prospect won <id-or-domain> <monthly-value>Mark as won, set contract value
/geo prospect lost <id-or-domain> "<reason>"Mark as lost with reason
/geo prospect pipelineVisual pipeline summary with revenue forecast

Data Structure

Each prospect is stored as a JSON record:

json
{
  "id": "PRO-001",
  "company": "Electron Srl",
  "domain": "electron-srl.com",
  "contact_email": "info@electron-srl.com",
  "contact_name": "",
  "industry": "Educational Equipment Manufacturing",
  "country": "Italy",
  "status": "qualified",
  "geo_score": 32,
  "audit_date": "2026-03-12",
  "audit_file": "~/.geo-prospects/audits/electron-srl.com-2026-03-12.md",
  "proposal_file": "~/.geo-prospects/proposals/electron-srl.com-proposal.md",
  "monthly_value": 0,
  "contract_start": null,
  "contract_months": 0,
  "notes": [
    {
      "date": "2026-03-12",
      "text": "Initial GEO quick scan. Score 32/100 - Critical tier. Strong candidate for GEO services."
    }
  ],
  "created_at": "2026-03-12",
  "updated_at": "2026-03-12"
}

Orchestration Instructions

/geo prospect new <domain>

  1. Check if ~/.geo-prospects/prospects.json exists, create if not (empty array)
  2. Auto-detect company name from domain (e.g., electron-srl.comElectron Srl)
  3. Assign next sequential ID: PRO-001, PRO-002, etc.
  4. Ask user for:
    • Contact name (optional)
    • Contact email
    • Monthly contract value estimate (optional)
  5. Set status to lead
  6. Save to JSON file
  7. Suggest next step: "Run /geo prospect audit electron-srl.com to score this prospect"

/geo prospect list

Read ~/.geo-prospects/prospects.json and render a summary table:

GEO Prospect Pipeline — March 2026
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

ID       Domain                  Company           Status      Score  Value
───────  ──────────────────────  ────────────────  ──────────  ─────  ──────
PRO-001  electron-srl.com        Electron Srl      Qualified   32/100  €4.5K
PRO-002  acme.com                ACME Corp         Lead        —       —
PRO-003  bigshop.it              BigShop           Won         41/100  €6.0K

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Pipeline: 1 lead | 1 qualified | 0 proposals | 1 won | 0 lost
Committed MRR: €6,000 | Pipeline Value: €4,500

/geo prospect audit <id-or-domain>

  1. Run /geo quick <domain> to get GEO snapshot score
  2. Save score to prospect record: geo_score, audit_date
  3. Save audit output to ~/.geo-prospects/audits/<domain>-<date>.md
  4. Update audit_file path in prospect record
  5. Add auto-note: "Quick audit run. GEO Score: XX/100."
  6. If score < 55: suggest "Score indicates strong sales opportunity. Run /geo proposal <domain> to generate proposal."

/geo prospect note <id-or-domain> "<text>"

  1. Find prospect by ID or domain
  2. Append note with current ISO date
  3. Save back to JSON
  4. Confirm: "Note added to Electron Srl (PRO-001)"

/geo prospect status <id-or-domain> <status>

Valid statuses: lead, qualified, proposal, won, lost

  1. Update status field
  2. Add auto-note: "Status changed to "
  3. Save and confirm

/geo prospect pipeline

Visual revenue-focused pipeline summary:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
GEO AGENCY PIPELINE SUMMARY — March 2026
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

STAGE          COUNT   POTENTIAL VALUE   NOTES
─────────────  ─────   ───────────────   ─────────────────────
Lead             2      €8,000/mo        New discoveries
Qualified        1      €4,500/mo        Ready for proposal
Proposal Sent    1      €6,000/mo        Awaiting signature
Won              3      €18,500/mo       Active clients (MRR)
Lost             1      —                Budget freeze

COMMITTED MRR:        €18,500
PIPELINE (qualified+): €10,500
TOTAL POTENTIAL:      €29,000/mo → €348,000/yr

Next actions:
→ PRO-003 (acme.com): Send proposal — score 38/100 (strong case)
→ PRO-007 (shop.it): Follow up — proposal sent 8 days ago
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Storage Location

All data stored in ~/.geo-prospects/:

~/.geo-prospects/
├── prospects.json          # Main CRM database
├── audits/                 # Quick audit snapshots
│   └── electron-srl.com-2026-03-12.md
└── proposals/              # Generated proposals
    └── electron-srl.com-proposal.md

Create directory if it does not exist: mkdir -p ~/.geo-prospects/audits ~/.geo-prospects/proposals


Pipeline Stage Definitions

StatusMeaningTypical Next Action
leadDiscovered, not yet contactedRun quick audit, assess opportunity
qualifiedAudit done, confirmed pain pointsGenerate proposal
proposalProposal sent, awaiting decisionFollow up, answer questions
wonContract signed, active clientRun full audit, start onboarding
lostDeal closed lostLog reason for future reference

Output

  • All commands print confirmation + current prospect status to terminal
  • No external files unless explicitly saving audits/proposals
  • JSON database is the single source of truth

Frequently asked questions

What does the Geo Prospect AI skill do?

CRM-lite for managing GEO agency prospects and clients. Track leads through the full sales pipeline: Lead → Qualified → Proposal Sent → Won → Lost. Store audit history, notes, deal values, and generate pipeline summaries. Use when user says "prospect", "lead", "client", "pipeline", "crm", "nuovo prospect", "aggiungi cliente", or when managing the business side of GEO services.

Why use Geo Prospect on TypingMind?

Because you install it once and use it with any model. Geo Prospect is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Geo Prospect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zubair-trabzada/geo-seo-claude/tree/main/skills/geo-prospect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Geo Prospect?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Geo Prospect?

As many as you like. As long as a model supports skills, you can use Geo Prospect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Geo Prospect AI skill free?

Yes. It is published on GitHub by zubair-trabzada under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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