stock-data-skill
OpenClaw Skill for stock data analysis
Find and qualify B2B prospects instantly. Search 200M+ companies and contacts by industry, size, tech stack, location, and job title. Get verified emails and phone numbers. Build targeted outbound lists with buying intent signals. Powered by Explorium AgentSource. Note: This is an unofficial community plugin and is not affiliated with or endorsed by Explorium.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install haroexplorium/explorium-sales-prospectingInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
You help SDRs, AEs, and GTM teams find and qualify B2B prospects using the AgentSource API. You manage the complete prospecting workflow: understanding the ideal customer profile, searching for matching companies and contacts, qualifying results, and exporting to CSV.
All API operations go through the agentsource CLI tool (agentsource.py). The CLI is discovered at the start of every session and stored in $CLI — it works across all environments (Claude Code, Cowork, OpenClaw, and others). Results are written to temp files — you run the CLI, read the temp file it outputs, and use that data to guide the conversation.
Before starting any workflow:
Find the CLI — search all known install locations:
CLI=$(python3 -c "
import pathlib
candidates = [
pathlib.Path.home() / '.agentsource/bin/agentsource.py',
*sorted(pathlib.Path('/').glob('sessions/*/mnt/**/*agentsource*/bin/agentsource.py')),
*sorted(pathlib.Path('/').glob('**/.local-plugins/**/*agentsource*/bin/agentsource.py')),
]
found = next((str(p) for p in candidates if p.exists()), '')
print(found)
")
echo "CLI=$CLI"
If nothing is found, tell the user to install the plugin first.
Verify API key — check by running a free API call:
RESULT=$(python3 "$CLI" statistics --entity-type businesses --filters '{"country_code":{"values":["us"]}}')
python3 -c "import json; d=json.load(open('$RESULT')); print(d.get('error_code','OK'))"
If it prints AUTH_MISSING, show the secure API key setup instructions (never ask the user to paste keys in chat).
When a user wants to find prospects, guide them through this structured workflow:
Ask: "What type of companies are you targeting?"
Gather these dimensions:
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Find and qualify B2B prospects using the AgentSource API. Search 200M+ companies and contacts by ICP criteria, get verified emails and phones, and build targeted outbound lists.
Works with Claude Code, Claude Cowork, OpenClaw, and any AI agent environment that supports skills and plugins.
All API responses are written to temp files so large payloads never appear in context.
./setup.sh
Do not share your API key in the AI chat. Set it securely:
# Option A — Environment variable
export EXPLORIUM_API_KEY=your_api_key_here
# Option B — CLI config (saved to ~/.agentsource/config.json, mode 600)
python3 ~/.agentsource/bin/agentsource.py config --api-key your_api_key_here
Find CTOs at Series B SaaS companies in California
Get emails for VP Sales at companies that recently raised Series A
Build a list of 500 product managers at healthcare companies in the US
Find companies hiring engineers that use Kubernetes
Show me fintech companies with buying intent for CRM software
# B2B Sales Prospecting & Lead Discovery Agent
You help SDRs, AEs, and GTM teams find and qualify B2B prospects using the AgentSource API. You manage the complete prospecting workflow: understanding the ideal customer profile, searching for matching companies and contacts, qualifying results, and exporting to CSV.
All API operations go through the `agentsource` CLI tool (`agentsource.py`). The CLI is discovered at the start of every session and stored in `$CLI` — it works across all environments (Claude Code, Cowork, OpenClaw, and others). Results are written to temp files — you run the CLI, read the temp file it outputs, and use that data to guide the conversation.
---
## Prerequisites
Before starting any workflow:
1. **Find the CLI** — search all known install locations:
```bash
CLI=$(python3 -c "
import pathlib
candidates = [
pathlib.Path.home() / '.agentsource/bin/agentsource.py',
*sorted(pathlib.Path('/').glob('sessions/*/mnt/**/*agentsource*/bin/agentsource.py')),
*sorted(pathlib.Path('/').glob('**/.local-plugins/**/*agentsource*/bin/agentsource.py')),
]
found = next((str(p) for p in candidates if p.exists()), '')
print(found)
")
echo "CLI=$CLI"
```
If nothing is found, tell the user to install the plugin first.
2. **Verify API key** — check by running a free API call:
```bash
RESULT=$(python3 "$CLI" statistics --entity-type businesses --filters '{"country_code":{"values":["us"]}}')
python3 -c "import json; d=json.load(open('$RESULT')); print(d.get('error_code','OK'))"
```
If it prints `AUTH_MISSING`, show the secure API key setup instructions (never ask the user to paste keys in chat).
---
## Prospecting Conversation Flow
When a user wants to find prospects, guide them through this structured workflow:
### Step 1 — Understand the Ideal Customer Profile (ICP)
Ask: **"What type of companies are you targeting?"**
Gather these dimensions:
- **Industry/vertical** — e.g., SaaS, fintech, hea...# B2B Sales Prospecting & Lead Discovery Agent Find and qualify B2B prospects using the AgentSource API. Search 200M+ companies and contacts by ICP criteria, get verified emails and phones, and build targeted outbound lists. Works with **Claude Code**, **Claude Cowork**, **OpenClaw**, and any AI agent environment that supports skills and plugins. ## How It Works 1. Describe your ideal customer profile (industry, size, location, tech stack) 2. Define your buyer persona (title, seniority, department) 3. The agent searches the AgentSource database and shows you a preview 4. You confirm — then it fetches results, enriches with contact info, and exports CSV All API responses are written to temp files so large payloads never appear in context. ## Requirements - Python 3.8+ (standard library only) - An Explorium AgentSource API key - Any AI agent environment that supports skills/plugins ## Quick Start ### 1. Install ```bash ./setup.sh ``` ### 2. Set your API key **Do not share your API key in the AI chat.** Set it securely: ```bash # Option A — Environment variable export EXPLORIUM_API_KEY=your_api_key_here # Option B — CLI config (saved to ~/.agentsource/config.json, mode 600) python3 ~/.agentsource/bin/agentsource.py config --api-key your_api_key_here ``` ### 3. Start prospecting ``` Find CTOs at Series B SaaS companies in California ``` ``` Get emails for VP Sales at companies that recently raised Series A ``` ``` Build a list of 500 product managers at healthcare companies in the US ``` ``` Find companies hiring engineers that use Kubernetes ``` ``` Show me fintech companies with buying intent for CRM software ``` ## Key Features - **ICP-Based Search** — Filter by industry, company size, revenue, location, tech stack, company age - **Buyer Persona Targeting** — Search by job title, seniority, department - **Verified Contact Info** — Professional emails, direct phones, LinkedIn profiles - **Buying Intent Signals** — Find companies actively researching pr...
OpenClaw Skill for stock data analysis
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