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Skills prospect-researcher

Research and qualify B2B prospects using web search. Builds structured profiles with company intel, key contacts, pain points, and engagement recommendations.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/1kalin/afrexai-prospect-researcher" ~/.claude/skills/openclaw-skills-prospect-researcher && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/1kalin/afrexai-prospect-researcher" ~/.openclaw/skills/openclaw-skills-prospect-researcher && rm -rf "$T"
manifest: skills/1kalin/afrexai-prospect-researcher/SKILL.md
tags
#b2b-research#web-search#data-extraction#lead-qualification#contact-discovery
source content

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