Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
India Location Normalizer RE-India
Normalize Indian real-estate location text into canonical city and locality fields (Mumbai and Pune v1) with confidence and unresolved flags. Use when leads...
skill openclawclawhub Free
Normalize Indian real-estate location text into canonical city and locality fields (Mumbai and Pune v1) with confidence and unresolved flags. Use when leads...
β¬ 0 downloads β
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/india-location-aliases-v1.json, references/location-normalizer-input.schema.json, references/location-normalizer-output.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
- 1.0.1
Provenance
- Publisher
- vishalgojha
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
India Location Normalizer
Resolve messy India locality aliases into canonical location fields without side effects.
Quick Triggers
Normalize Mumbai/Pune location aliases from extracted leads. Map PCMC and Hinjewadi variants to canonical localities. Resolve Mumbai shorthand like Scruz, Khar, Andheri W, Turner Road, Carter Road. Standardize locality names before scoring or storage.
Recommended Chain
message-parser -> lead-extractor -> india-location-normalizer -> sentiment-priority-scorer Target KPI for production tuning: improve canonical Mumbai/Pune locality resolution versus extractor-only baseline.
Execute Workflow
Accept lead-location payload from Supervisor. Validate input against references/location-normalizer-input.schema.json. Use references/india-location-aliases-v1.json as the authoritative lookup map. Match in this order: exact alias match (case-insensitive) token-normalized alias match (trim punctuation, collapse spaces) conservative fuzzy match only when clearly unambiguous Return one normalized location record per input lead with: city locality_canonical micro_market matched_alias confidence unresolved_flag Validate output against references/location-normalizer-output.schema.json.
Enforce Boundaries
Never parse raw chat exports. Never extract non-location entities. Never write to Google Sheets, databases, or files. Never send messages or trigger external channels. Never auto-resolve low-confidence ambiguous aliases.
Handle Ambiguity
If multiple localities match equally, set unresolved_flag: true. If no confident match exists, preserve input in matched_alias and mark unresolved. Prefer false-negative over false-positive for city/locality assignment.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Config1 Docs
- SKILL.md
- agents/openai.yaml
- references/india-location-aliases-v1.json
- references/location-normalizer-input.schema.json
- references/location-normalizer-output.schema.json