Screened · automated checks passed

extract-source-sample

from gooseworks-ai/goose-skills · ★ 1,019 on GitHub · found by our crawler 2026-07-07

What the author says it does

Given the path to a finished content-goose ad-run folder, extract everything that defines that ad — recipe shot list, VO script, characters, voices, world, atom-skills, master mp4 — and emit a `source-sample.json` in the exact shape the `upload-ad-sample` skill writes to the Goose Ads library. Also links every character and voice to the central character library at `<repo-root>/assets/character-library/` (repo-root derived from the run-dir, not a hardcoded path), and if a character isn't in the library yet, adds it first then links. Use when the user wants to remix one of their existing ads — this skill produces the source JSON that the script-rewriting step and `remix-ad` consume.

Quoted from the skill's own SKILL.md trigger description — this is what tells Claude when to activate it. Not yet verified by us.

Automated screening

100/100 validator score

Scored by the same rules as our free SKILL.md validator: trigger description quality, body substance, structure. Automated — a human bench test is the next step in the pipeline.

Install (unverified — review first)

git clone https://github.com/gooseworks-ai/goose-skills
# skill lives at: skills/ads/composites/extract-source-sample/SKILL.md

SkillProof status

This skill is in our test queue. We install every skill in a clean environment, run a trigger battery and score output against a baseline before it earns a catalog page — the full protocol is public. Until then, treat it like any unreviewed dependency: read the SKILL.md and any scripts before installing.

Already tested in Marketing & Growth

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  • Content Strategy ★ 9.6/10 Plans topic clusters, content pillars and a weighted-priority editorial calendar grounded in buyer stage.
  • Substack Ghostwriting & Content Optimization ★ 9.6/10 Substack-specific ghostwriting and growth workflow: voice guide, algorithm, monetization.

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