geolocalisation
Skill14 starsChanged 10 days agoLicence not identifiedView on GitHub
Map, geolocate, or produce a study-location map for a literature-review corpus from a BibTeX file: turn a .bib into study_locations.csv, a KML/GeoJSON/world-map figure, or answer a question about a corpus's geographic coverage, spatial distribution, or country breakdown. Trigger on: /geolocalisation, 'map the corpus', 'geolocate the studies', 'bib to map'. Also triggers on 'carte des études' and 'où ont eu lieu les études'. Extracts each paper's study / case-study location automatically (per-DOI Scopus abstract + title + keywords, matched against an offline Natural Earth gazetteer), writes a reviewable draft table with a confidence column, lets a human curate or override it, then renders the corpus as CSV, KML (Google My Maps), GeoJSON (QGIS/Leaflet), a static world map PNG for the review figure, an interactive HTML map, and a per-country count table.
- Reads credentials
- Installs packages
In this repository55 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/skills/AGENTS.mdAGENTS.md
- .claude/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- aider-setupSkill
- deliberationSkill
- drawio2tikzSkill
- extract-contributionsSkill
- extract-futureworksSkill
- extract-paper-ideaSkill
- extract-statisticSkill
- finish-branchSkill
- form-serviceSkill
- geolocalisationSkill
- latex-hygieneSkill
- loop-engineerSkill
- narrative-cvSkill
- obsidian-cliSkill
- opt-local-stt-vramSkill
- opt-local-vram-llmSkill
- paper2talkSkill
- pdf2mdSkill
- professor-expertise-finderSkill
- recommendation-letterSkill
- rt-observeSkill
- scholar-evaluationSkill
- scientific-writingSkill
- scopusSkill
- word2latexSkill
- wp-portfolio-syncSkill
- aider-setupSkill
- deliberationSkill
- drawio2tikzSkill
- extract-contributionsSkill
- extract-futureworksSkill
- extract-paper-ideaSkill
- extract-statisticSkill
- finish-branchSkill
- form-serviceSkill
- latex-hygieneSkill
- loop-engineerSkill
- narrative-cvSkill
- obsidian-cliSkill
- opt-local-stt-vramSkill
- opt-local-vram-llmSkill
- paper2talkSkill
- pdf2mdSkill
- professor-expertise-finderSkill
- recommendation-letterSkill
- rt-observeSkill
- scholar-evaluationSkill
- scientific-writingSkill
- scopusSkill
- word2latexSkill
- wp-portfolio-syncSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

