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Install in OpenClaw
/install afrexai-prospect-researcher-temp
Description
Research and qualify B2B prospects using web search. Builds structured profiles with company intel, key contacts, pain points, and engagement recommendations.
README (SKILL.md)
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
Usage Guidance
This skill appears coherent and low-risk because it only instructs the agent to use public web search and fill a provided template, and it does not request credentials or install code. Before installing, verify the small metadata mismatch (ownerId) with the publisher if provenance matters; confirm your OpenClaw agent has a safe web-search provider configured (the skill needs search access to work); be aware the agent will surface publicly available personal data (names and LinkedIn URLs) — ensure this use complies with your privacy policies and applicable laws; review the external link (https://afrexai-cto.github.io/context-packs) if you don't want the agent to fetch third-party context packs; and consider limiting autonomous invocation if you prefer to review outputs manually.
Capability Analysis
Type: OpenClaw Skill
Name: afrexai-prospect-researcher-temp
Version: 1.0.0
The skill bundle is a set of instructions and templates for a B2B prospect research agent. It contains no executable code and focuses on guiding the AI to perform structured web searches for public company data, leadership changes, and technology stacks. The instructions in SKILL.md and the template in research-template.md are well-aligned with the stated purpose, and no indicators of data exfiltration, malicious execution, or prompt injection were found.
Capability Assessment
Purpose & Capability
The name/description (build B2B prospect profiles from public web search) matches the requested footprint: no binaries, no env vars, no installs. Everything required to perform the stated task is proportional. Note: the registry ownerId in the provided metadata (kn74m32v...) does not match the ownerId in _meta.json (kn76xhd...), which is an inconsistency in packaging/metadata to verify with the publisher.
Instruction Scope
SKILL.md clearly instructs only public web searches, cites sources, forbids scraping behind logins, and requires output to the included research-template.md. It does not instruct the agent to access unrelated local files, secrets, or external endpoints other than an explicit context-pack URL (https://afrexai-cto.github.io/context-packs).
Install Mechanism
No install spec or code files — instruction-only. There is nothing downloaded or written to disk by the skill bundle itself.
Credentials
The skill requests no environment variables, no credentials, and no config paths. This is proportionate to a public-web research task.
Persistence & Privilege
always:false and default model-invocation settings are used. The skill does not request permanent presence or elevated privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install afrexai-prospect-researcher-temp - After installation, invoke the skill by name or use
/afrexai-prospect-researcher-temp - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Prospect Researcher v1.0.0 – Initial Release
- Provides a systematic workflow to research and qualify B2B prospects using web search.
- Builds structured prospect profiles including company details, recent activities, tech stack, key contacts, pain points, and engagement recommendations.
- Requires citing of sources, clear marking of unknowns, and explicit flagging of inferred data.
- Prioritizes recent information (last 6 months) for prospect insights.
- Output follows a research template; only publicly available information is used.
Metadata
Frequently Asked Questions
What is Afrexai Prospect Researcher Temp?
Research and qualify B2B prospects using web search. Builds structured profiles with company intel, key contacts, pain points, and engagement recommendations. It is an AI Agent Skill for Claude Code / OpenClaw, with 137 downloads so far.
How do I install Afrexai Prospect Researcher Temp?
Run "/install afrexai-prospect-researcher-temp" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Afrexai Prospect Researcher Temp free?
Yes, Afrexai Prospect Researcher Temp is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Afrexai Prospect Researcher Temp support?
Afrexai Prospect Researcher Temp is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Afrexai Prospect Researcher Temp?
It is built and maintained by ker2xu (@ker2xu); the current version is v1.0.0.
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