Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Prospector
This skill should be used when the user wants to find leads, prospects, or contacts matching their ICP (Ideal Customer Profile). It searches for companies via Exa and enriches contacts via Apollo, outputting to CSV and optionally syncing to Attio CRM. MANDATORY TRIGGERS: "find leads", "prospecting", "ICP search", "find contacts", "lead generation", "/prospector"
skill openclawclawhub Free
This skill should be used when the user wants to find leads, prospects, or contacts matching their ICP (Ideal Customer Profile). It searches for companies via Exa and enriches contacts via Apollo, outputting to CSV and optionally syncing to Attio CRM. MANDATORY TRIGGERS: "find leads", "prospecting", "ICP search", "find contacts", "lead generation", "/prospector"
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, commands/setup.md, scripts/prospector.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- slempiam
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Prospector
Find leads matching your ICP via Exa company search + Apollo contact enrichment.
Prerequisites
Run /prospector:setup first to configure your API keys: Exa (required): https://exa.ai - company discovery Apollo (required): https://apollo.io - contact enrichment Attio (optional): https://attio.com - CRM sync You can also set keys via environment variables: PROSPECTOR_EXA_API_KEY PROSPECTOR_APOLLO_API_KEY PROSPECTOR_ATTIO_API_KEY (optional)
Setup (one-time)
/prospector:setup Collects and validates API keys, stores securely in ~/.config/prospector/config.json.
Find Leads
/prospector Asks ICP questions, searches Exa, enriches via Apollo, outputs CSV to Desktop.
Main Command: /prospector
When the user invokes /prospector, follow this workflow:
Step 1: Check Config or Env Vars
First, verify env vars or config exist: python3 -c " import json import os from pathlib import Path config_path = Path.home() / '.config' / 'prospector' / 'config.json' env_exa = bool(os.getenv('PROSPECTOR_EXA_API_KEY')) env_apollo = bool(os.getenv('PROSPECTOR_APOLLO_API_KEY')) env_attio = bool(os.getenv('PROSPECTOR_ATTIO_API_KEY')) if not config_path.exists(): print('NOT_FOUND') else: with open(config_path) as f: config = json.load(f) print('FOUND') print(f'exa: {bool(config.get(\"exa_api_key\"))}') print(f'apollo: {bool(config.get(\"apollo_api_key\"))}') print(f'attio: {bool(config.get(\"attio_api_key\"))}') print(f'env_exa: {env_exa}') print(f'env_apollo: {env_apollo}') print(f'env_attio: {env_attio}') " If NOT_FOUND and env vars are not set, tell user to run /prospector:setup first.
Step 2: Ask ICP Questions
Use AskUserQuestion to collect ICP criteria in order: Question 1: Industry header: "Industry" question: "What industry are you targeting?" options: - label: "SaaS" description: "Software as a Service companies" - label: "Fintech" description: "Financial technology companies" - label: "Healthcare" description: "Healthcare and health tech" - label: "E-commerce" description: "Online retail and marketplaces" - label: "AI/ML" description: "Artificial intelligence and machine learning" - label: "Any" description: "No industry filter" multiSelect: false Question 2: Company Size header: "Size" question: "What company size are you targeting?" options: - label: "1-10" description: "Early stage startups" - label: "11-50" description: "Seed to Series A" - label: "51-200" description: "Series A to B" - label: "201-500" description: "Growth stage" - label: "500+" description: "Enterprise" - label: "Any" description: "No size filter" multiSelect: false Question 3: Funding Stage header: "Funding" question: "What funding stage are you targeting?" options: - label: "Pre-seed" description: "Pre-product market fit" - label: "Seed" description: "Building initial product" - label: "Series A" description: "Scaling product" - label: "Series B+" description: "Growth and expansion" - label: "Any" description: "No funding filter" multiSelect: false Question 4: Geography header: "Geography" question: "What geography are you targeting?" options: - label: "United States" description: "US-based companies" - label: "Europe" description: "European companies" - label: "Global" description: "Worldwide" - label: "Any" description: "No geography filter" multiSelect: false Question 5: Keywords (optional) header: "Keywords" question: "Any specific keywords that should appear in company descriptions? (optional)" options: - label: "Skip" description: "No keyword filter" - label: "Enter keywords" description: "I'll type specific keywords" multiSelect: false If "Enter keywords", ask for the text input. Question 6: Contact Count header: "Count" question: "How many contacts do you want to find?" options: - label: "25" description: "Quick search, lower API usage" - label: "50" description: "Balanced (recommended)" - label: "100" description: "Larger batch, more API usage" multiSelect: false
Step 3: Run Search
Execute the Python script with the collected ICP: cd [skill_directory]/scripts python3 -c " from prospector import run_search, export_csv, Config icp = { 'industry': '[INDUSTRY]', 'company_size': '[SIZE]', 'funding_stage': '[FUNDING]', 'geography': '[GEOGRAPHY]', 'keywords': '[KEYWORDS or empty string]' } leads = run_search(icp, num_contacts=[COUNT]) if leads: path = export_csv(leads) print(f'SUCCESS: {len(leads)} leads saved to {path}') else: print('NO_RESULTS: No leads found matching criteria') " Replace placeholders with actual values from questions.
Step 4: Attio Sync (if configured)
If Attio is configured and leads were found, ask: header: "Attio" question: "Sync leads to Attio CRM?" options: - label: "Yes" description: "Sync companies and contacts to Attio" - label: "No" description: "Just keep the CSV" multiSelect: false If yes: cd [skill_directory]/scripts python3 -c " from prospector import sync_to_attio, Config, Lead import json # Load leads from the CSV we just created (or pass them directly) # For simplicity, re-run with sync leads = [...] # Pass leads from previous step companies, people = sync_to_attio(leads) print(f'SYNCED: {companies} companies, {people} contacts') "
Step 5: Report Results
Tell the user: How many leads were found Where the CSV was saved If Attio sync was done, how many records were synced
Error Handling
Config not found: Tell user to run /prospector:setup Invalid API key: Tell user which key failed, suggest re-running setup No results: Suggest broadening ICP criteria Partial failures: Report what succeeded, warn about failures
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs1 Scripts
- SKILL.md
- commands/setup.md
- README.md
- scripts/prospector.py