Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Lead Extractor
Extract structured real-estate lead records from parsed message objects. Use when users ask to find leads in WhatsApp exports, extract name-phone-budget, or...
skill openclawclawhub Free
Extract structured real-estate lead records from parsed message objects. Use when users ask to find leads in WhatsApp exports, extract name-phone-budget, or...
⬇ 0 downloads ★ 0 stars Unverified but indexed
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
- SKILL.md, agents/openai.yaml, references/extraction-rules-re-india-v1.md, references/output-leads.schema.json, references/parsed-message-input.schema.json
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. 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. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.6
Provenance
- Publisher
- vishalgojha
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Lead Extractor
Identify lead signals in parsed messages and emit strict lead objects.
Quick Triggers
Find all buyer leads from this WhatsApp chat. Extract contact details and budget from these messages. Identify serious property inquiries from parsed messages.
Recommended Chain
message-parser -> lead-extractor -> india-location-normalizer
Execute Workflow
Accept parsed messages from Supervisor. Validate input with references/parsed-message-input.schema.json. Apply chat-specific extraction rules from references/extraction-rules-re-india-v1.md. Determine dataset_mode from Supervisor context: default: broker_group allowed: broker_group, buyer_inquiry, mixed Detect lead-candidate messages using inquiry intent, contact details, and property-related preferences. Classify record_type: inventory_listing for broker inventory/availability posts (default in broker groups) buyer_requirement for explicit "required/chahiye looking for" demand posts drop non-lead/system noise instead of emitting noise_or_system Handle multiline listings as one candidate record when body lines contain price, area, or location details. Build lead records with: required: lead_id, name, phone, record_type optional: dataset_mode, property_type, budget, deal_type, asset_class, price_basis, area_sqft, area_basis, location_hint, raw_text, source, created_at Normalize phone extraction from spaced variants such as +91 98205 82462 and 98200 78845. Distinguish price intent from rate intent: examples: 3.5 Lakh rent (monthly), 60K psf (per-sqft), 4.25 Cr (total) Deduplicate leads by stable keys when records clearly refer to the same person. Validate output with references/output-leads.schema.json. Return only validated lead objects.
Enforce Boundaries
Never write or update persistent storage. Never modify source messages. Never generate summaries. Never suggest or execute follow-up actions. Never send communication or invoke external side effects.
Handle Errors
Reject invalid parsed-message input. Emit an empty array when no lead evidence exists. Return field-level validation errors when extracted records violate schema.
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Config2 Docs
- SKILL.md
- references/extraction-rules-re-india-v1.md
- agents/openai.yaml
- references/output-leads.schema.json
- references/parsed-message-input.schema.json