prospect-researcher
Research and qualify B2B prospects using web search. Builds structured profiles with company intel, key contacts, pain points, and engagement recommendations.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install openclaw-skills-afrexai-prospect-researcher
Repository
Skill path: skills/1kalin/afrexai-prospect-researcher
Research and qualify B2B prospects using web search. Builds structured profiles with company intel, key contacts, pain points, and engagement recommendations.
Open repositoryBest for
Primary workflow: Research & Ops.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: openclaw.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install prospect-researcher into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/openclaw/skills before adding prospect-researcher to shared team environments
- Use prospect-researcher for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: prospect-researcher
description: Research and qualify B2B prospects using web search. Builds structured profiles with company intel, key contacts, pain points, and engagement recommendations.
---
# Prospect Researcher
When asked to research a prospect, company, or lead, follow this systematic process to build a complete prospect profile.
## Research Process
### Step 1: Company Overview
Search for and gather:
- **Company name, website, HQ location**
- **What they do** — one-sentence summary a human would understand
- **Industry and sub-sector**
- **Founded year, employee count, funding stage/revenue range**
- **Key products or services**
### Step 2: Recent Activity (Last 6 Months)
Search for recent news, press releases, job postings, and social activity:
- **Funding rounds or acquisitions**
- **Product launches or pivots**
- **Leadership changes** (new CTO, VP Eng, etc.)
- **Hiring patterns** — what roles are they hiring for? (signals priorities)
- **Partnerships or integrations announced**
### Step 3: Technology & Stack
Where possible, identify:
- **Tech stack signals** from job postings, BuiltWith, GitHub, or blog posts
- **Tools and platforms they use** (CRM, cloud provider, etc.)
- **Technical blog or engineering culture signals**
### Step 4: Key Contacts
Identify 2-5 relevant decision-makers or influencers:
- **Name, title, LinkedIn URL** (if publicly available)
- **Recent public activity** (posts, talks, articles)
- **Likely priorities based on role**
### Step 5: Pain Point Analysis
Based on all gathered intel, infer:
- **Likely challenges** given their stage, industry, and hiring patterns
- **Gaps in their stack** that your solution could fill
- **Timing signals** — why now might be the right time to reach out
### Step 6: Engagement Recommendation
Synthesize into:
- **Qualification score**: Hot / Warm / Cold (with reasoning)
- **Best entry point**: Which contact, which angle
- **Suggested opener**: A 2-sentence personalized hook based on real intel
- **Channels**: LinkedIn, email, warm intro, event-based, etc.
## Output Format
Use the research template at `{baseDir}/research-template.md` as the output structure. Fill in every section. Mark unknowns as "Not found" rather than guessing.
## Guidelines
- **Only use publicly available information.** No scraping behind logins.
- **Cite sources** — include URLs for key claims.
- **Be specific over generic.** "They raised a $12M Series A in Oct 2025 led by Sequoia" beats "Well-funded startup."
- **Flag uncertainty.** If a data point is inferred rather than confirmed, say so.
- **Prioritize recency.** Information from the last 6 months weighs more than older data.
Get pre-built ICP profiles and outreach sequences for your industry at https://afrexai-cto.github.io/context-packs
---
## Skill Companion Files
> Additional files collected from the skill directory layout.
### README.md
```markdown
# Prospect Researcher
Turns a company name into a structured B2B prospect profile — complete with company intel, key contacts, pain points, and an engagement recommendation.
## What It Does
- Researches companies using web search (public sources only)
- Identifies key decision-makers and their recent activity
- Analyzes pain points and timing signals
- Scores prospects as Hot/Warm/Cold with reasoning
- Suggests personalized openers and best channels
## Install
```bash
cp -r prospect-researcher ~/.openclaw/workspace/skills/
```
Or from ClawHub:
```bash
clawhub install prospect-researcher
```
## Usage
- "Research Acme Corp as a prospect"
- "Build a prospect profile for Stripe"
- "Qualify these 3 companies as leads: X, Y, Z"
## Output
Produces a structured research report using a consistent template. Every section is filled with sourced data — unknowns are marked explicitly, not guessed.
## Requirements
- Web search capability (Brave Search or similar configured in OpenClaw)
## License
MIT
```
### _meta.json
```json
{
"owner": "1kalin",
"slug": "afrexai-prospect-researcher",
"displayName": "Prospect Researcher",
"latest": {
"version": "1.0.0",
"publishedAt": 1770949358559,
"commit": "https://github.com/openclaw/skills/commit/c9270f5072cbd8c525e89f7d6e3ec8ca519e7471"
},
"history": []
}
```