跳到正文
cccskills
免费在 GitHub 公开

geo-prospect

Manage prospects and clients for GEO services, which help sites prepare for AI search visibility. Keep contact details, audit history, notes, and monthly deal values in a local JSON file, and summarize sales stages and potential revenue.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

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.

实测评分 未实测

查看安装方法

适用场景

  • Register prospects and review their sales stages
  • Keep audit history and dated interaction notes together
  • Summarize won contracts and potential monthly revenue

包含的文件(1)

  • SKILL.md7.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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:

{
  "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.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.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

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

geo

免费

Assess a website’s readiness for AI search alongside traditional SEO. Review content citation readiness, crawler access, brand mentions, technical foundations, and structured data, then generate scores, prioritized recommendations, and client reports.

中文简介正在准备中。当前显示英语简介。

  • Audit a website’s readiness for AI search
  • Assess a page’s suitability for AI citation
  • Check AI crawler access and generate llms.txt
zubair-trabzada/geo-seo-claude1.1万2026年10月23日 更新

geo-audit

免费

Audit a website for visibility in AI search, including how easily its content can be quoted, technical access, content quality, and structured data. Receive a weighted score out of 100 and a prioritized improvement plan.

中文简介正在准备中。当前显示英语简介。

  • Assessing a website’s readiness for AI search
  • Finding crawler access and structured data issues
  • Reviewing content credibility and ease of quotation
zubair-trabzada/geo-seo-claude1.1万2026年10月23日 更新

Assess a brand’s presence on YouTube, Reddit, Wikipedia, LinkedIn, and other sources relevant to AI search. Review mentions, official profiles, and discussion sentiment, then produce a weighted authority score and recommendations for each platform.

中文简介正在准备中。当前显示英语简介。

  • Reviewing brand mentions across major platforms
  • Assessing positive and negative Reddit discussions
  • Checking Wikipedia and Wikidata presence
zubair-trabzada/geo-seo-claude1.1万2026年10月23日 更新

Assess web content for AI citation readiness using a weighted scoring rubric. Get page and section scores, identify passages needing work, and receive concrete suggestions for clearer answers, stronger evidence, and more readable structure.

中文简介正在准备中。当前显示英语简介。

  • Assess an article for AI citation readiness
  • Prioritize weak sections for rewriting
  • Rewrite openings to answer questions directly
zubair-trabzada/geo-seo-claude1.1万2026年10月23日 更新

Compare two GEO audits, which assess a site's readiness for AI search visibility, and produce a monthly client report. Summarize score changes, crawler access, completed actions, newly discovered issues, and priorities for the following month.

中文简介正在准备中。当前显示英语简介。

  • Prepare a monthly GEO progress report for a client
  • Compare baseline and current audit scores
  • Review completed actions and next month's priorities
zubair-trabzada/geo-seo-claude1.1万2026年10月23日 更新

Review website content for AI citation readiness using E-E-A-T: experience, expertise, authoritativeness, and trustworthiness. Assess evidence, author information, structure, freshness, and topic coverage, then receive scores, passage-level findings, and specific recommendations for improvement.

中文简介正在准备中。当前显示英语简介。

  • Reviewing evidence and author information in articles
  • Improving headings and paragraphs for AI citation
  • Checking AI-generated drafts for thin content
zubair-trabzada/geo-seo-claude1.1万2026年10月23日 更新

查看 zubair-trabzada 的全部技能

报告此技能的问题