geolocation-skill
Systematic visual geolocation reasoning from images. [VAD] Analyzes photos, street views, or satellite imagery to determine location. Uses visual clue extraction, hypothesis formation, and web verification. [NÄR] Use when: geolocate, identify location, where is this, find this place, geographic analysis, location from image, OSINT geolocation [EXPERTISE] Visual analysis, geographic indicators, verification strategies
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install carlheath-ogmios-geolocation-skill
Repository
Skill path: .claude/skills/geolocation-skill
Systematic visual geolocation reasoning from images. [VAD] Analyzes photos, street views, or satellite imagery to determine location. Uses visual clue extraction, hypothesis formation, and web verification. [NÄR] Use when: geolocate, identify location, where is this, find this place, geographic analysis, location from image, OSINT geolocation [EXPERTISE] Visual analysis, geographic indicators, verification strategies
Open repositoryBest for
Primary workflow: Design Product.
Technical facets: Data / AI, Designer, Testing.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: carlheath.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install geolocation-skill into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/carlheath/ogmios before adding geolocation-skill to shared team environments
- Use geolocation-skill for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
--- name: geolocation-skill description: | Systematic visual geolocation reasoning from images. [VAD] Analyzes photos, street views, or satellite imagery to determine location. Uses visual clue extraction, hypothesis formation, and web verification. [NÄR] Use when: geolocate, identify location, where is this, find this place, geographic analysis, location from image, OSINT geolocation [EXPERTISE] Visual analysis, geographic indicators, verification strategies allowed-tools: Read, Grep, Glob, WebFetch, WebSearch --- # Geolocation Reasoning **Method:** Iterative reasoning loop (max 5 iterations) **Inspiration:** GeoVista research framework ## Core Workflow ### 1. Visual Clue Extraction | Category | Look for | |----------|----------| | **Text/Signage** | Languages, scripts, street signs, license plates, phone formats | | **Infrastructure** | Road markings, traffic lights, poles, utilities, bollards | | **Architecture** | Materials, styles, roof types, density patterns | | **Nature** | Vegetation, terrain, geology, sun position, weather | | **Culture** | Vehicles, driving side, clothing, shops, brands | ### 2. Hypothesis Formation Form hypotheses at multiple scales: | Scale | Example | |-------|---------| | Continent/Region | Europe, Southeast Asia | | Country | Specific nation | | Region/State | Sub-national | | City/Town | Locality | | Precise | Street-level | For each: Note supporting evidence, confidence (H/M/L), conflicts. ### 3. Image Examination When details unclear: - Crop regions of interest - Enhance text/signage - Isolate architectural details ### 4. Web Search Verification | Strategy | Query pattern | |----------|---------------| | Sign text | `"[exact text]" location` | | Features | `[feature] [suspected region]` | | Business | `"[name]" address` | | Landmark | `[description] landmark [region]` | | Road | `[designation] [country]` | Cross-reference multiple clues, look for consistent attribution. ### 5. Iterative Refinement After each cycle: 1. Update hypothesis confidence 2. Identify remaining uncertainties 3. Determine if more examination helps 4. Continue until confident or limit reached ## Output Format ``` **Location Analysis** Observed Clues: - [Key observations with confidence] Reasoning Process: - [Hypothesis formation and verification] **Conclusion** - Most likely location: [As specific as evidence allows] - Confidence: High/Medium/Low - Key evidence: [Primary determinants] - Uncertainties: [What remains unclear] ``` ## Important Considerations | Aspect | Guideline | |--------|-----------| | Confidence | High requires multiple independent confirmations | | Single clues | Can mislead (similar signage in multiple countries) | | Privacy | Don't identify individuals or residential addresses | | Iteration | Max 5 cycles, stop when marginal value low | ## References - `references/visual-clues.md` — Clue categories - `references/regional-signatures.md` — Region-specific indicators - `references/verification-strategies.md` — Search patterns --- 🎯 COMPLETED: [SKILL:geolocation-skill] [location identified from image] 🗣️ CUSTOM COMPLETED: [SKILL:geolocation-skill] [Location found]