pr-to-video
Turn a GitHub pull request (a PR URL, owner/repo#N, or 'this PR' in a checked-out repo) into a code-change explainer video — changelog, feature reveal, fix, or refactor walkthrough built from the diff, commits, and files: the input is a code change, not a website.
Install / Use
npx skills add heygen-com/hyperframes --skill pr-to-videoInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of pr-to-video
pr-to-video scores 90/100 on our quality scale, 135th of 1,630 Development & Engineering skills we index (top 9%).
Its SKILL.md is 32 KB long, well organised into 18 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
With 52,778 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated today, so pr-to-video is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
pr-to-video compared with similar skills
All 4 of these similar skills score higher than pr-to-video; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| pr-to-video (this skill)by heygen-com | 90 | 52.8k | today | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.3k | 9d ago | CLAUDE.md |
| ai-job-searchby MadsLorentzen | 100 | 43.9k | 3d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 5d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
Frequently asked questions
- How do I install pr-to-video?
- Run
npx skills add heygen-com/hyperframes --skill pr-to-video. The install tabs above show the steps for each supported agent. - Which AI agents does pr-to-video work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is pr-to-video safe to use?
- It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is pr-to-video still maintained?
- The repository was last updated today, so pr-to-video is actively maintained.
Skill content
View source on GitHubname: pr-to-video description: "Turn a GitHub pull request (a PR URL, owner/repo#N, or 'this PR' in a checked-out repo) into a code-change explainer video — changelog, feature reveal, fix, or refactor walkthrough built from the diff, commits, and files: the input is a code change, not a website. Not a product promo (/product-launch-video) or a no-PR topic explainer (/faceless-explainer). Unclear → /hyperframes."
First, keep this skill fresh — confirm with the user before running:
npx hyperframes skills update pr-to-video. A fast no-op when everything is current; otherwise it refreshes this skill plus the core domain skills it depends on before you rely on them.
media-use: Before sourcing audio/images/logos, call
/media-useto resolve BGM/SFX/images from the HeyGen catalog and brand logos from their official sources. Run--adoptfirst to register existing assets. See/media-useskill.
PR to HyperFrames
Use this skill to ingest a GitHub pull request, understand the change, plan a code-change explainer, and build it frame by frame in HyperFrames. The input is a code change (read via gh), not a website — there is no capture step and no real assets beyond the contributors' avatars.
The front door is
/hyperframes. You are the orchestrator. Run each step, verify its gate, and only then continue. This skill is for a GitHub pull request (a code change). Any other intent, a bare "make a video", or any uncertainty → read/hyperframesfirst — the intent layer owns every route decision, and a fresh creation arriving here withoutBRIEF.mdgoes through it anyway (Setup's opening rule).
You are the orchestrator. Work in the resolved external PROJECT_DIR, never in the caller repository by default. Run steps in order and pass each gate before continuing. User-gated steps are Step 0, Step 3, and Step 6. Read ../hyperframes/references/brief-contract.md before Step 0 — it defines the gate types and how BRIEF.md's flow/storyboard derive the mode that governs the Step 3/4/6 gates. Do every step yourself except Step 5, where you dispatch a bounded pool of frame workers. Do not put design or motion rules here; those live in the frame-worker sub-agent, this skill's local ../hyperframes-animation/rules/ + ../hyperframes-animation/blueprints/, and hyperframes-creative.
Workflow: Step 0 setup → hyperframes.json; Step 1 ingest → capture/extracted/ + assets/<login>.png; Step 2 design system → frame.md; Step 3 storyboard/script → STORYBOARD.md and SCRIPT.md; Step 3.1 audio → audio_meta.json; Step 4 visual design → enriched STORYBOARD.md; Step 5 frames → compositions/frames/NN-*.html and index.html; Step 6 final render → renders/video.mp4.
Step 0: Setup
Goal: Enter with a confirmed brief — including the PR reference (a full URL, an <owner>/<repo>#<N> ref, or "this PR" in a checked-out repo) — create the HyperFrames project, and make the brief durable. The style is always code-editorial (fixed at Step 2, never asked).
The brief is confirmed by the intent layer, not by questions asked here. Opening rule, in order: (1) BRIEF.md exists → read it and ask nothing — the brief is settled, and its flow/storyboard derive the mode (brief contract § 1). (2) No BRIEF.md but the project exists (hyperframes.json / STORYBOARD.md on disk) → resume from the storyboard's frontmatter and the recorded preferences; never re-interrogate a half-built project. (3) Neither — a fresh creation request that arrived here directly → read /hyperframes and run its intent layer (references/intent-interview.md): it checks recipes and remembered defaults, and conducts this route's questions — including the PR-size → length doctrine, which lives whole in ../hyperframes/references/routes/pr-to-video.md — then hands back the locked brief. Edit requests skip all of this — go do the edit.
Resolve the project directory before doing any other work. Preserve a user-supplied project directory; otherwise use the durable external cache location printed by the resolver. Never create videos/ in the caller repository:
PR="<url | owner/repo#N>"
if [ -n "${EXPLICIT_PROJECT_DIR:-}" ]; then
PROJECT_DIR="$(node <SKILL_DIR>/scripts/project-dir.mjs --pr "$PR" --project-dir "$EXPLICIT_PROJECT_DIR")"
else
PROJECT_DIR="$(node <SKILL_DIR>/scripts/project-dir.mjs --pr "$PR")"
fi
echo "PR-to-video project: $PROJECT_DIR"
node <SKILL_DIR>/scripts/preflight.mjs
The capability preflight runs before fetch, story work, audio, or frame dispatch. If the installed CLI cannot run the validation command required by this skill, stop with its upgrade instruction rather than spending the run's context first.
Initialize only if $PROJECT_DIR/hyperframes.json is missing. Its basename comes from the PR, such as acme-sdk-pr-1842; never use the workspace name or a timestamp.
npx hyperframes init "$PROJECT_DIR" --non-interactive --example=blank --skill=pr-to-video — init checks the installed skills against the latest on GitHub and updates the global set if any are out of date.
Every relative-path command below runs with $PROJECT_DIR as its working directory. Examples without an explicit subshell mean (cd "$PROJECT_DIR" && …); never change the caller repository's working tree.
Write BRIEF.md immediately after init (never before — init refuses a non-empty directory): the intent layer's locked brief, shape per ../hyperframes/references/brief-format.md. Resolve <MEDIA_DIR> as the installed /media-use skill directory. Then record each preference-backed answer with node <MEDIA_DIR>/scripts/prefs.mjs record --hyperframes . (brief-format.md names the subset). If the intent layer adopted a recipe, run node <MEDIA_DIR>/scripts/recipe.mjs use --hyperframes . --name <name>; it copies its frame.md into the project (Step 2 is then skipped) and returns the skeletons Step 3 drafts from. A recipe fills answers, not approvals; the review gates still run.
Show sign-in status before proceeding past Setup — run npx hyperframes auth status and relay its output verbatim. It reports whether voice/BGM will use HeyGen or local engines and, when signed out, how to sign in. Apply one branch:
- Collaborative: wait for the user to sign in or explicitly choose
offline/go. - Autonomous: state the status and continue through the available local engines.
Do not silently omit a required capability when no offline provider exists; surface the blocker. Do not fold this decision into another question or write keys into a per-repo .env. Auth ownership and offline fallbacks: /media-use references/setup-providers.md § Providers.
Gate: hyperframes.json and BRIEF.md exist; the PR ref is captured in the brief; the preference-backed answers were recorded (brief contract § 2); sign-in status was shown (signed in, or continuing offline).
Step 1: Ingest the PR (no capture)
Goal: Fetch the PR's facts and fold them into the project as the source of information. There is no website capture. fetch-pr.mjs runs gh deterministically — completing the files list via paginated gh api so a large PR doesn't truncate at ~100 files, and writing only capture/pr.json + capture/diff.patch (no scratch dir). For MERGED PRs it also resolves a best-effort shipped_version (+ version_source) into pr.json, so the end card can cite a real version instead of inventing one. Then ingest.mjs folds that into the synthetic capture package offline.
PR="<url | owner/repo#N | N>"
# Fetch the PR deterministically: runs gh, completes the files list via paginated
# gh api (so a big PR doesn't truncate at ~100 files), writes only capture/pr.json +
# capture/diff.patch — no scratch dir. gh auth / not-found / private errors exit 1 here.
(cd "$PROJECT_DIR" && node <SKILL_DIR>/scripts/fetch-pr.mjs --pr "$PR" --out-dir ./capture)
# Offline transform → capture/extracted/{tokens.json (colors:[] → code-editorial palette),
# visible-text.txt (the brief), people.json (contributors, bot-filtered, name+login,
# avatarFile=assets/<login>.png)}.
(cd "$PROJECT_DIR" && node <SKILL_DIR>/scripts/ingest.mjs \
--pr-json ./capture/pr.json --diff ./capture/diff.patch --out-dir ./capture/extracted)
# The people front's one network step — download each contributor's GitHub avatar to
# assets/<login>.png for the credits close. Best-effort; always exits 0.
(cd "$PROJECT_DIR" && node <SKILL_DIR>/scripts/fetch-people-avatars.mjs \
--people ./capture/extracted/people.json)
If fetch-pr.mjs exits 1 (gh auth / not found / private), report its stderr and stop — do not fabricate PR contents. If ingest.mjs exits 1, read its stderr (usually a malformed pr.json), fix, and rerun (deterministic). fetch-people-avatars.mjs always exits 0; missing avatars just mean no credits close to author.
people.json carries a name for whichever contributors gh already named (the PR author, commit authors, mergedBy) — null for the rest (reviewers/commenters/assignees, which gh pr view only ever gives a bare login). Before writing the credits close in Step 3, resolve any null name yourself for the 1-6 people who'll actually appear on that frame: gh api users/<login> --jq .name (you already have gh — no need to script this). If GitHub has no public name for that user either, fall back to the login on-screen and drop that person from the spoken line (see story-design.md's credits section — the voiceover must still say names, never raw handles).
Gate: capture/pr.json, capture/diff.patch, capture/extracted/tokens.json, capture/extracted/visible-text.txt, and capture/extracted/people.json exist; you can state the PR's change in one clear sentence. assets/<login>.png is best-effort — its absence is not a failure.
Step 2: Design System
Goal: Adopt the code-editorial frame preset; a script turns it into this video's frame.md + caption skin.
The style is fixed — code-editorial (warm editorial; a navy code surface built for diffs). Run:
node <SKILL_DIR>/scripts/build-frame.mjs --preset code-editorial --hyperframes .
The script copies the code-editorial preset's FRAME.md → frame.md, remixes it onto any brand tokens in capture/extracted/tokens.json (a PR has none → colors:[]/fonts:[] keeps code-editorial's own palette, a complete design), copies the preset's caption skin to .hyperframes/caption-skin.html, and self-validates (exits 1 on a broken mapping). Proceed as soon as it exits 0 — no hand-editing.
Gate: build-frame.mjs exited 0 — frame.md exists from the code-editorial preset, and .hyperframes/caption-skin.html exists as the caption skin source.
Step 3: Storyboard and Script
Goal: Turn the PR into an approved frame-by-frame explanation plan.
Read ../hyperframes-creative/references/story-spine.md (hook language, value-before-evidence, storyboard-as-proposal, source-traceable visuals), references/story-design.md, ../hyperframes-animation/blueprints-index.md, ../hyperframes/references/storyboard-format.md, and ../hyperframes/references/script-format.md. Use them to write STORYBOARD.md and, when narration is needed, SCRIPT.md. Set the frontmatter duration: from the brief's length — a rough expectation; assembly reports where the cut lands against it.
Use story-design.md for the PR archetype (changelog / feature-reveal / fix-explainer / refactor-walkthrough), the PR-native frame types, hook, persuasion, beats, the per-frame word budget, and the credits close. The sequence comes from narrative design, not the diff's file order — explain the change, don't read the diff aloud. As a soft guide, consult the role→blueprint menu in ../hyperframes-animation/blueprints-index.md: for each beat, write the voiceover in the shape its candidate blueprint implies and tag that candidate blueprint: id when
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
