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turns a raw call, loom, riverside, zoom, or podcast transcript into usable content material. it extracts only the topics with enough substance to become credible articles.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
creates 40 high-intent buyer questions for a specific icp, category, and offer. it finds questions that would be worth answering in a founder or subject-matter expert recording, with a bias toward questions ai engines can answer by citing clear sources.
takes each extracted topic and creates 5 differentiated content angles. each angle is mapped to a buyer segment, trigger, pain, objection, and desired citation format.
selects the best citation-ready article structure from 23 templates and turns an angle into a detailed brief. it optimizes for ai engines that cite direct answers, clear definitions, source-backed claims, and structured evidence.
writes the full article from the optimized brief in the user brand voice. it keeps the useful parts of the source transcript and removes rambling, filler, and fake certainty.
scores the draft from 1-100 and edits it until it is specific, human, useful, and citation-ready. it removes ai slop and flags weak claims before publishing.
prepares and publishes approved content to wordpress, notion, sanity, or a custom cms. it maps metadata, schema, slugs, categories, canonical URLs, and internal links.
| name | transcript-extractor |
| description | turns a raw call, loom, riverside, zoom, or podcast transcript into usable content material. it extracts only the topics with enough substance to become credible articles. |
turns a raw call, loom, riverside, zoom, or podcast transcript into usable content material. it extracts only the topics with enough substance to become credible articles.
raw transcript, the original question list if available, icp definition, and brand voice.
topic cards with claims, proof, examples, objections, quotes, and recommended next agent inputs.
run 01-question-generator first when possible, then record or upload the transcript.
claude "read agents/02-transcript-extractor/SKILL.md and run agents/02-transcript-extractor/prompt.md against inputs/transcripts/<file>.md"
templates/ before producing output.outputs/.