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Get Started Free →Use the HyperFrames CLI development loop: init, add, catalog, capture, lint, check, snapshot, compare, grade-compare, preview, play, present, beats, keyframes, single or batch render, publish, cloud, cloudrun, feedback, lambda, doctor, browser, info, upgrade, skills, compositions, docs, benchmark, telemetry, transcribe, auth, tts, and remove-background. Also use when diagnosing build or render failures. validate, inspect, and layout are deprecated aliases; use check. Covers local, HeyGen-hosted
.claude/skills/coco-research-hyperframes-cli/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-17 | ✗→✓ | ▲ Improved | 94% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 57% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 145% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 60% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 163% | 0% |
Run commands as npx hyperframes ... unless project instructions provide a wrapper. Obey the wrapper when present. The CLI requires Node.js 22 or newer and FFmpeg.
npx hyperframes init <project> or capture a site. In non-TTY mode, pass --non-interactive --example=<name>./hyperframes-core.npx hyperframes lint after the first HTML pass and after structural changes.npx hyperframes check; it reruns lint before opening the browser. Do not prepend a redundant standalone lint invocation. Add --snapshots for annotated overview frames and finding crops.index.html mounts data-composition-src, capture midpoint snapshots and inspect each mounted scene.npx hyperframes preview, hand the timeline project URL to the user, and ask whether to revise or render.bash# Fast iteration check; repeat while authoring as needed. npx hyperframes lint # Required final gate; includes lint. npx hyperframes check npx hyperframes preview npx hyperframes render --quality high --output out.mp4 test -s out.mp4 ffprobe -v error -show_format out.mp4
check runs lint first, then uses one browser session and one seek pass to audit runtime errors, failed requests, layout, *.motion.json assertions, and WCAG contrast. Persistent findings gate the exit code; transient entrance or exit findings are informational. Use --strict to gate warnings. validate, inspect, and layout remain aliases for compatibility but must not appear in new instructions or scripts.
Do not confuse these states:
| Surface | When it may open | Purpose | | ------------------------- | ------------------------------------------------------ | --------------------------------------------------------------------------------- | | Storyboard board | Before composition checks, only when storyboard: yes | Review plan cards and wireframe sketches. Open ?view=storyboard#project/<name>. | | Final composition preview | After check passes | Review the assembled timeline before render. Open #project/<name>. |
The early board is not approval of the final video. Rendering always requires the final approval defined by hyperframes-core/references/review-loop.md.
Static audits cannot catch every mount failure. When the project uses sub-compositions, capture at least one visible midpoint for each host slot:
bashnpx hyperframes snapshot --at <t1>,<t2>,<t3>
Treat tiny unstyled content, canvas-sized icons, missing hero elements, or timeline-registration timeouts as render-blocking mount defects. See hyperframes-core/references/sub-compositions.md for the corresponding fixes.
--json for agent and CI calls. Server-mode render, preview, and play do not provide ordinary JSON output; preview --selection --json and preview --context --json are query-mode exceptions.doctor --json always exits zero. Gate on its payload:bash npx hyperframes doctor --json | jq -e '.ok' >/dev/null
init requires --example there; use --non-interactive to force deterministic behavior on a TTY.HYPERFRAMES_RUN_ID for all commands in the same verification loop.--strict, --strict-all, and --strict-variables when the corresponding warnings, variables, or CI conditions must gate the render.$HOME; do not try to reverse the redaction.cloud render --dry-run --json and follow the .hyperframesignore investigation in references/cloud.md. Never ignore an asset merely because it is large.When the user refers to “this element” or the current selection, query Studio instead of guessing:
bashnpx hyperframes preview --context --json --context-fields selection
Use selection.target.hfId when available, otherwise its selector and source file. If the result reports no-selection, ask the user to click the element and rerun. Request only the context slices you need; use --context-detail full only for computed styles or editable text metadata. Full behavior and failure codes live in references/preview-render.md.
| Need | Command | | ---------------------------------------- | ----------------------------------------------------------------------------- | | Fast local iteration | npx hyperframes render --quality draft | | Final local delivery | npx hyperframes render --quality high --output out.mp4 | | Reproducible container render | npx hyperframes render --docker --strict --output out.mp4 | | Local variable-driven batch render | npx hyperframes render --batch rows.json --output "renders/{name}.mp4" | | HeyGen-hosted zero-infrastructure render | npx hyperframes cloud render | | Self-managed distributed AWS render | npx hyperframes lambda render <project> --width 1920 --height 1080 --wait | | Self-managed distributed GCP render | npx hyperframes cloudrun render <project> --width 1920 --height 1080 --wait |
Skill attribution is automatic — the examples above need no --skill. A project scaffolded by a workflow (hyperframes init --skill=<workflow>) records its owning skill in hyperframes.json, and every later render inherits it on anonymous telemetry: re-renders, npm run render, and --batch alike. Pass --skill=<slug> explicitly only to stamp a project that was not created through a workflow (its first render then persists it).
Use cloud rendering when the user wants hosted rendering without local Chrome, FFmpeg, or AWS. Use Lambda only when AWS ownership is a requirement. Use Cloud Run only when GCP ownership is a requirement. Read the matching reference before running any cloud path.
After verifying a successful render, send one feedback report unless telemetry is disabled or the user opted out:
bashnpx hyperframes feedback --rating <0-10> --comment "<specific result or friction>"
Keep clean-run feedback concise. For any bug or friction, capture a reproduction packet before submitting; do not send only a symptom summary. Include the rerunnable command (relative to the project directory — feedback is submitted to a public channel, so do not paste absolute paths, home-directory prefixes, or user/machine identifiers), expected versus actual behavior, exact error (also strip absolute paths from stack traces — keep basename + line, drop the leading directory), whether output completed/fell back/failed, workaround, and repro-project status. For a rating ≤ 7 that describes a visual defect (black frame, flicker, corrupt output, wrong frame, blank output, other visual anomaly), also include a COMPOSITION_STRUCTURE: block — a privacy-preserving structural anatomy (element census + attribute presence + timeline shape) so maintainers can pattern-match against known bug families without the composition ZIP. Agents auto-fill this via the composition-census helper; the human user does not fill it by hand. If the issue did not reproduce again, say so and still include the last failing command and logs. Use --file-issue only with consent: it publishes a minimal reproduction to a public URL. The required packet format and privacy warning live in references/preview-render.md.
The following references and owning skills are mandatory command contracts, not optional background reading. Before running a command in the table, read its matching row.
| Need | Reference | | -------------------------------------------------------------------------------------- | ------------------------------------- | | init, capture, skills | references/init-and-scaffold.md | | lint, check, motion sidecars, snapshot | references/lint-validate-inspect.md | | compare, grade-compare, variable-driven render --batch | references/compare-and-batch.md | | beats for an existing project's Studio beat grid | references/beats.md | | preview, play, render, publish, Studio context, feedback | references/preview-render.md | | doctor, browser management | references/doctor-browser.md | | auth, HeyGen-hosted cloud rendering, and template variables | references/cloud.md | | AWS Lambda deployment and rendering | references/lambda.md | | Google Cloud Run deployment and rendering | references/cloudrun.md | | info, upgrade, compositions, docs, benchmark, telemetry, media preprocessing | references/upgrade-info-misc.md |
For composition variables, also read /hyperframes-core → references/variables-and-media.md. For hyperframes add and hyperframes catalog, use /hyperframes-registry. Before hyperframes present, read /slideshow; before hyperframes keyframes, read /hyperframes-keyframes. For TTS, transcription, captions, or background removal choices, use /media-use.
The specialized commands are deliberately documented by their owning workflows:
bashnpx hyperframes present <project-dir> --port 3004 --no-open npx hyperframes beats <project-dir> --json npx hyperframes keyframes <project-dir> --json
present serves a navigable deck with presenter and audience synchronization. beats is the standalone Studio beat-grid utility defined in references/beats.md. keyframes surfaces seek-safe animation and motion-path diagnostics.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-17 | fail→pass | 17,009 | 9,862 | -42% | 1 | 1 | 0% | 1,653 | 3,204 | +94% | 0 | 0 | — |
case-01 | fail→pass | 20,912 | 13,190 | -37% | 1 | 1 | 0% | 2,425 | 3,798 | +57% | 0 | 0 | — |
case-02 | fail→pass | 12,517 | 4,269 | -66% | 1 | 1 | 0% | 1,186 | 2,907 | +145% | 0 | 0 | — |
case-03 | fail→pass | 25,110 | 14,325 | -43% | 1 | 1 | 0% | 2,761 | 4,410 | +60% | 0 | 0 | — |
case-04 | fail→pass | 7,111 | 3,627 | -49% | 1 | 1 | 0% | 1,119 | 2,944 | +163% | 0 | 0 | — |
case-05 | fail→pass | 15,676 | 16,461 | +5% | 1 | 1 | 0% | 1,674 | 3,550 | +112% | 0 | 0 | — |
case-06 | fail→pass | 21,136 | 5,375 | -75% | 1 | 1 | 0% | 2,988 | 3,312 | +11% | 0 | 0 | — |
case-07 | fail→pass | 14,492 | 10,494 | -28% | 1 | 1 | 0% | 1,581 | 3,359 | +112% | 0 | 0 | — |
case-08 | fail→pass | 15,786 | 12,456 | -21% | 1 | 1 | 0% | 1,774 | 3,609 | +103% | 0 | 0 | — |
case-09 | fail→pass | 17,212 | 17,236 | +0% | 1 | 1 | 0% | 3,005 | 4,079 | +36% | 0 | 0 | — |
case-10 | fail→pass | 17,170 | 8,451 | -51% | 1 | 1 | 0% | 2,123 | 2,811 | +32% | 0 | 0 | — |
case-11 | pass→fail | 21,716 | 4,570 | -79% | 1 | 1 | 0% | 2,750 | 3,217 | +17% | 0 | 0 | — |
case-12 | pass→pass | 11,920 | 9,261 | -22% | 1 | 1 | 0% | 2,176 | 3,078 | +41% | 0 | 0 | — |
case-13 | pass→pass | 13,396 | 4,444 | -67% | 1 | 1 | 0% | 2,213 | 3,041 | +37% | 0 | 0 | — |
case-14 | fail→pass | 8,421 | 9,364 | +11% | 1 | 1 | 0% | 1,337 | 3,204 | +140% | 0 | 0 | — |
case-15 | fail→pass | 19,365 | 3,368 | -83% | 1 | 1 | 0% | 2,507 | 2,999 | +20% | 0 | 0 | — |
case-16 | fail→pass | 24,992 | 4,924 | -80% | 1 | 1 | 0% | 1,672 | 2,834 | +69% | 0 | 0 | — |
case-18 | fail→pass | 12,273 | 6,981 | -43% | 1 | 1 | 0% | 1,300 | 2,711 | +109% | 0 | 0 | — |
case-19 | pass→fail | 18,605 | 22,018 | +18% | 1 | 1 | 0% | 2,688 | 4,852 | +81% | 0 | 0 | — |
case-20 | pass→pass | 7,984 | 13,185 | +65% | 1 | 1 | 0% | 1,476 | 3,611 | +145% | 0 | 0 | — |
case-21 | pass→pass | 18,733 | 17,184 | -8% | 1 | 1 | 0% | 2,466 | 4,292 | +74% | 0 | 0 | — |
case-22 | pass→pass | 12,299 | 13,748 | +12% | 1 | 1 | 0% | 2,603 | 4,226 | +62% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 21 counted toward the lift figure. The other 1 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +59 percentage points is the difference between those two pass rates over the 21 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.