headroom-skill
claudeSkill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
headroomlabs-ai/headroom 79,508
claude
historywright
Three evergreen history skills: the research hub (sources, corroboration, dates, cited answers), the source registry and era outline, and research packs for 3D, film and images, with the hw.py CLI
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Plugin historywright from marketplace historywright in m4bwav/historywright. Commands read from the repo's manifest — 3 days ago.
What it installs
Skills (3)
historywright-packUse when history research must feed a 3D model, a film, a video or images: build and validate a research pack (cited answer, sources with exact quotes, entities with QIDs and EDTF dates, places as GeoJSON, a timeline, reference images from museum collection records with licence and accession number,
historywright-sourcesUse to find or curate where historical answers live: which archive, database, library or museum covers an era, region or kind of question (ancient places, Chinese officials, US newspapers, UK records, museum objects), its route, licence, access and pace; add, rank or retire a source; probe every end
historywrightUse whenever a history question needs a real answer: who, when, where, with whom, how long ('when was Caesar born', 'longest-reigning Chinese emperor', 'when did Gates found Microsoft and with whom', 'is this quote real', 'check this date'). Answers from sources, not memory: Wikidata full statements
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