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* fix(cli,skills): install workflow skills on demand instead of re-pulling the full set Users report every init re-pulls all 21 skills into ~/.agents/skills whenever anything is stale or missing - heavy, noisy, and it re-expands deliberate partial installs. Split the set into two tiers: - core: the /hyperframes router + hyperframes-* domain skills + media-use, which every workflow references structurally. init and bare 'skills update' keep these (plus anything already installed) fresh, and never expand the install. - on demand: the end-user workflow skills (and figma). They install at trigger time via 'skills update <name...>' - positional names are the only way update expands an install: one targeted 'skills add --skill <name>' covering only stale/missing targets, a fast no-op when current, presence-verified after install, exit 1 on unknown names, and a presence-only degrade when GitHub is unreachable. The /hyperframes router now runs 'skills update <workflow>' after routing and before reading the workflow skill, so a routed workflow is guaranteed present even on a machine that only has the core set. Each on-demand skill also opens with the same self-maintenance step (run 'npx hyperframes skills update <name>' silently), so a workflow triggered directly - without the router - still refreshes itself and restores any missing core skill before relying on it. When the manifest is unreachable (offline / rate-limited) the engine degrades honestly instead of claiming success: named runs presence-check the request plus a pinned fallback core list (unit-pinned to skills/) and blind-install whatever is absent; a bare strict update fails loudly so the 'check || update' chain can't pass while everything stays stale; init reports the skipped freshness check. --json emits structured errors on failure paths. skills check still lists every skill, but exits non-zero only for stale installed skills, an incomplete core set, or removed leftovers - workflow skills not yet installed are reported as available on demand. Bare 'hyperframes skills' (and 'skills add --all') remain the explicit full-set installs. Verified end-to-end with a sandboxed $HOME: fresh init installs the 9 core skills only; 'skills update slideshow' adds exactly that skill (no-op on re-run, exit 1 on unknown names); bare update refreshes without expanding; a live Claude Code run routed PR-to-video, executed the router's update step, and the workflow skill appeared before use; and a second live run triggered an installed workflow directly, whose opening maintenance step restored a deliberately removed core skill. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * docs(skills): clarify update-engine contracts + document lazy-install model - skills.ts: note the UpdateSkillsResult.unknown strict-mode contract, verifyInstalled's non-strict (warn-not-throw) intent, and that a partial install stays "refreshed but never expanded" (review nits). - docs/guides/skills.mdx: add a "Keeping skills current" section covering the core-eager / workflow-on-demand model and the skills check|update commands, per the repo's catalog-maintenance rule. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> --------- Co-authored-by: kiritowoo <295860553+kiritowoo@users.noreply.github.com> Co-authored-by: Claude Fable 5 <noreply@anthropic.com> Co-authored-by: Miao Yang <miao.yang@heygen.com>
hyperframes
CLI for creating, previewing, and rendering HTML video compositions.
Install
npm install -g hyperframes
Or use directly with npx:
npx hyperframes <command>
Requirements: Node.js >= 22, FFmpeg
Commands
init
Scaffold a new Hyperframes project from a template:
npx hyperframes init my-video
cd my-video
preview
Start the live preview studio in your browser:
npx hyperframes preview
# Studio running at http://localhost:3002
npx hyperframes preview --port 4567
render
Render a composition to MP4:
npx hyperframes render ./my-composition.html -o output.mp4
lint
Validate your Hyperframes HTML:
npx hyperframes lint ./my-composition
npx hyperframes lint ./my-composition --json # JSON output for CI/tooling
npx hyperframes lint ./my-composition --verbose # Include info-level findings
By default only errors and warnings are shown. Use --verbose to also display informational findings (e.g., external script dependency notices). Use --json for machine-readable output with errorCount, warningCount, infoCount, and a findings array.
compositions
List compositions found in the current project:
npx hyperframes compositions
benchmark
Run rendering benchmarks:
npx hyperframes benchmark ./my-composition.html
doctor
Check your environment for required dependencies (Chrome, FFmpeg, Node.js):
npx hyperframes doctor
browser
Manage the bundled Chrome/Chromium installation:
npx hyperframes browser
info
Print version and environment info:
npx hyperframes info
docs
Open the documentation in your browser:
npx hyperframes docs
upgrade
Check for updates and show upgrade instructions:
npx hyperframes upgrade
npx hyperframes upgrade --check --json # machine-readable for agents
Documentation
Full documentation: hyperframes.heygen.com/packages/cli
Related packages
@hyperframes/core— types, parsers, frame adapters@hyperframes/engine— rendering engine@hyperframes/producer— render pipeline@hyperframes/studio— composition editor UI