geo-prospect – Other skill for AI agents
CRM-lite for managing GEO agency prospects and clients.
Install the geo-prospect skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/geo-prospect-5ff1a.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /geo-prospect – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/geo-prospect-5ff1a.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $geo-prospect – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/geo-prospect-5ff1a.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /geo-prospect – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/geo-prospect-5ff1a.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /geo-prospect – then describe the task you want done.
SKILL.md content
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
| Command | What It Does |
|---------|-------------|
| /geo prospect new <domain> | Create new prospect (interactive prompts) |
| /geo prospect list | Show 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 pipeline | Visual pipeline summary with revenue forecast |
---
Data Structure
Each prospect is stored as a JSON record:
{
"id": "PRO-001",
"company": "Electron Srl",
"domain": "electron-srl.com",
"contact_email": "[email protected]",
"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.com → Electron 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 <status>"
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.mdCreate directory if it does not exist: mkdir -p ~/.geo-prospects/audits ~/.geo-prospects/proposals
---
Pipeline Stage Definitions
| Status | Meaning | Typical Next Action |
|--------|---------|---------------------|
| lead | Discovered, not yet contacted | Run quick audit, assess opportunity |
| qualified | Audit done, confirmed pain points | Generate proposal |
| proposal | Proposal sent, awaiting decision | Follow up, answer questions |
| won | Contract signed, active client | Run full audit, start onboarding |
| lost | Deal closed lost | Log 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
When to Use
- You need a Generative Engine Optimization task for a website: audit, citability, crawlers, schema, llms.txt, content, platform tuning, or client reporting.
- Run read-only analysis first; propose site changes before making any.
Limitations
- Audits are read-only analysis; never publish, deploy, or modify the target site without explicit approval.
- Scores and citation likelihoods are heuristics, not guarantees from AI search platforms.
- Docs-only import: upstream scripts, agents, hooks, and schema templates are not bundled.
Example
curl -s https://example.com/robots.txt
curl -s https://example.com/llms.txt> Adapted from [zubair-trabzada/geo-seo-claude](https://github.com/zubair-trabzada/geo-seo-claude) (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: upstream runtime helpers not bundled.
Slash commands are workflow notation, not installed runtime commands in this docs-only copy. Confirm persistent storage location and personal-data scope first. Validate domains as hostnames, reject path separators/dot segments and keep all derived paths within the chosen root; protect files and use atomic locked writes to avoid lost updates/duplicate IDs. A low GEO score is a heuristic audit lead, not proof of commercial need; “won”/committed MRR requires actual contract evidence. Pipeline sums are unweighted possibilities, not revenue forecasts. Never send outreach from a CRM-read request.
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