Validate whether a company is an ICP fit based on research and your ICP scoring criteria.
Scanned 8/30/2026
Install to Claude Code
npx -y skills add himanshusaleria/gtm-engine --skill validate-lead --agent claude-codeInstalls into .claude/skills of the current project.
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# /validate-lead — ICP Lead Validation
Validate whether a company is an ICP fit based on research and your ICP scoring criteria.
## Usage
- `/validate-lead {company} [job_url]` — Validate a single company
- `/validate-lead --batch` — Validate unreviewed companies from your outreach sheet
- `/validate-lead --improve "learning"` — Add a learning to improve future validations
## Prerequisites
- `config/config.yaml` with ICP section filled (scoring criteria, no-go rules, tiers)
- Recommended: `my-context/icp-definition.md` filled (via `/setup --icp`)
---
## Default Mode Flow
### Step 1: Load Context (parallel reads)
Read these files in parallel:
- `~/.claude/skills/validate-lead/learnings.md`
- `my-context/icp-definition.md` (if exists)
- `config/config.yaml` -> icp section
### Step 2: Research the Company (parallel where possible)
- **If job URL provided:** WebFetch the listing -> extract role title, tech stack, requirements, company description
- **WebSearch** `"{company} what they do product"` -> understand what they build
- **WebSearch** `"{company} employees team size"` -> estimate headcount
- **If LinkedIn URL provided:** WebFetch it
### Step 3: Apply No-Go Rules (check FIRST before scoring)
Read `config.icp.no_go_rules`. Auto-reject if ANY rule matches.
If No-Go triggered -> output verdict immediately with reason. Skip scoring.
### Step 4: Score on ICP Scale
Use `config.icp.scoring_criteria` for criteria. Each criterion scored 0 or 1.
Sum scores and apply tier thresholds from `config.icp.tiers`:
- Score >= `config.icp.tiers.core` = **Core ICP**
- Score >= `config.icp.tiers.broader` = **Broader ICP**
- Below broader threshold = **Not ICP**
### Step 5: Output
Present results in this format:
```
## {Company Name} — Lead Validation
### Verdict
| Field | Value |
|-------|-------|
| ICP Fit? | Yes / No |
| Action | Go ahead / No go |
| Summary | {one-line summary} |
### Research Summary
- **What they do:** ...
- **Headcount:** ...
- **Geography:** ...
- **Product type:** ...
- **Job listing signals:** ... (if applicable)
### ICP Scorecard ({X}/{max})
| # | Criterion | Score | Reasoning |
|---|-----------|-------|-----------|
| 1 | {criteria from config} | 0/1 | ... |
| 2 | ... | 0/1 | ... |
### Caveats
- ...
```
If `config.integrations.outreach_sheet.enabled` is true:
- Map verdict to the configured columns: "Copy these values to the sheet: {column}={value}, ..."
- Include the sheet link: `https://docs.google.com/spreadsheets/d/{config.integrations.outreach_sheet.spreadsheet_id}/edit`
### Step 6: Ask for Feedback
After output, ask: **"Any feedback on this verdict? I'll save it for future validations."**
If user provides feedback -> append to `~/.claude/skills/validate-lead/learnings.md` with date and company context.
---
## Batch Mode Flow
### Step 1: Read the Sheet
Requires `config.integrations.outreach_sheet.enabled: true`.
```
sheets_getText(spreadsheetId: "{config.integrations.outreach_sheet.spreadsheet_id}")
```
### Step 2: Find Unreviewed Rows
Filter for rows where the verdict column and action column are blank/empty (using column letters from config).
### Step 3: Present List
Show the unreviewed companies with their signal/URL columns. Ask user which ones to validate (all, or specific ones).
### Step 4: Validate Sequentially
Run the default validation flow for each selected company. Pause briefly between web searches to be rate-limit friendly.
### Step 5: Summary Table
After all validations, output a summary:
```
| Company | Score | Tier | Verdict | Action | Comment |
|---------|-------|------|---------|--------|---------|
| ... | X/{max} | Core/Broader/No | Yes/No | Go ahead/No go | ... |
```
---
## Improve Mode Flow
When user runs `/validate-lead --improve "learning text"`:
1. Read `~/.claude/skills/validate-lead/learnings.md`
2. Append the learning under `## User Feedback & Learnings` with today's date
3. Confirm: "Saved learning. This will be applied to future validations."
4. Do NOT run any validation
---
## Important Notes
- Google Sheets MCP is **read-only** — always output values for manual copy-paste
- When uncertain about a company, default to **"Go ahead with caveats"** — better to review than miss
- Always check learnings.md first — past feedback may override default scoring
- The skill improves over time as feedback accumulates in learnings.md
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