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Members Video skillAI tools and software explainers15–60 sec

Decision Path Feed

Turn a real yes-or-no choice into a readable branch path with a selected route and an explicit outcome.

Two 19.2-second English decision-path films with distinct branches and a verified single-scene edit. 9:16 · 0:19

What you get

  • A vertical decision tree with a visible selected route
  • Two distinct English briefs and one scene-level edit example
  • 1080×1920 / 30 fps video, burned captions, SRT and DOM-measured layout

You will need

  • Node.js 22+, FFmpeg/FFprobe and a browser
  • A question with two real routes
  • Local Kokoro or an explicit silent export

Good fit

  • Git workflow choices
  • AI retrieval routing
  • Short implementation trade-offs

Not for

  • A list of unrelated nodes
  • Unverified product promises
  • Automatic publishing or paid media generation

You say

“Use Decision Path Feed to explain a real software choice. Provide one question, two possible routes, the selected branch, and a short outcome; keep illustrative examples labelled as illustrative.”

After installing, say something like this to your agent with your own topic and assets. It asks only for what is missing.

FAQ

Do I need an account?

Yes. Members Skills install from a signed-in FeedSkills account with an active Founding Membership.

What does it cost to run?

The Skill is included with Founding Membership. It needs the tools listed under “You will need”. Any voice, model or media service you choose bills you directly; FeedSkills does not include provider credits.

Can I use the videos commercially?

Videos you make are yours to use, including commercially. The Skill package is licensed as: FeedSkills Source-Available License 1.0 · fonts SIL OFL 1.1. Fonts, music, footage and services you add keep their own terms.

Which agents does it work with?

Agents that read SKILL.md files, such as Codex or Claude Code. What FeedSkills has actually tested is listed under Tested scope below.

Tested scope

Version
0.1.0
Acceptance
This version has a recorded acceptance entry.
Tested
Two 19.2-second 1080x1920 / 30 fps English example films and one single-scene edit were rendered with burned captions, measured DOM layouts and full-stream checks; both themes recorded 19 passes, 0 info, 0 warnings and 0 fails. The edit rerendered s4 and reused the other five scenes with native-frame proof; package check/create and DOM guard passed. Real-phone review and customer adoption remain separate.
Runs on
Codex · macOS · Node.js 22+ · FFmpeg
License
FeedSkills Source-Available License 1.0 · fonts SIL OFL 1.1

Details

Decision Path Feed

Decision Path Feed is a Members Skill for turning one software choice into a readable branch path. The selected route is an input state, not an automatic recommendation.

Reviewed A/B previews

Both examples show a question, two routes and an explicit outcome. They are code-rendered English explainers with burned captions, SRT, measured layout and a local-edit path; illustrative briefs do not prove a product outcome.

Install and use

Install the approved member package with:

npx --yes --package=https://feedskills.com/downloads/feedskills-0.3.6.tgz feedskills install decision-path-feed --agent codex

Copy examples/theme-a.json or examples/theme-b.json into a project outside the installed Skill. Each scene supplies one question, exactly two branches and the selected branch id. Validate, create, then render the copied project with the included scripts. Use local Kokoro when narration is wanted; node render.mjs --no-voice is an explicit silent export.

For a single-scene revision, keep scene ids and durations stable, edit one copied scene, rerun the render and inspect render-report.json. Compare the changed scene with the native decoded frames for the five unchanged scenes before sharing.

Boundaries

Use a real question and its actual alternatives. Do not claim that a selected path is faster, safer or better without source evidence. The Skill uses local code-rendered shapes and text; it does not publish automatically, fetch remote logos or generate paid media.