hyperframes-cli
Skill1 starsChanged 3 months agoNo licenceView on GitHub
HyperFrames CLI dev loop. Use when running npx hyperframes init, add, catalog, capture, lint, check, snapshot, compare, grade-compare, preview, play, render, publish, feedback, lambda, doctor, browser, info, upgrade, skills, compositions, docs, benchmark, telemetry, transcribe, tts, or remove-background (validate/inspect/layout are deprecated aliases covered by check), or when troubleshooting the HyperFrames build/render environment. Entry point for AWS Lambda cloud rendering (`hyperframes lambda deploy / render / progress / destroy / policies / sites`).
56 other projects use a version of this, 7 of them edited.
Adopted by
Most recently taken up by
- cubxxw/agent-kittheir own version, first seen Nov 8, 2026
- cblain100-prog/motion-design-claude-codetheir own version, first seen Nov 8, 2026
- notivn/AIEVv2their own version, first seen Nov 8, 2026
- OpenMontageInc/OpenMontageedited, first seen Nov 8, 2026
- calesthio/OpenMontageedited, first seen Nov 8, 2026
- delorenj/skillstheir own version, first seen Nov 7, 2026
Used with
Projects with it also use oversized-cursor, cut-mistakes and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ElyzeSolutionsSkilloversized-cursor
House-style oversized macOS cursor technique for HyperFrames launch videos. Load whenever a scene involves cursors or a pointer-led action, when kicking off a UI scene, when igniting a morph/transition/typing run with a click, or when a scene reads as static, dead, or stale and needs a cheap high-yield source of motion to carry the viewer's eye and segment them out of the stale state. Covers cursor size/look (incl. brand-motif cursors), the off-screen entry law, tip-targeting and the click tap, click-ignites-the-next-beat, and exit / cross-scene handoff.
Also in 5 projects that use this
nateherkaiSkillcut-mistakes
Agent 2 of the video editing pipeline. Finds and removes spoken mistakes — stutters, repeated words, false starts, and retakes (re-recorded lines) — from a talking-head recording. Use after cut-silences, when asked to cut mistakes, remove stutters / repeats / filler restarts, clean up flubs, or keep the best take. Works review-gated: it proposes every cut with context and a reason for approval, then renders only the approved cuts via ffmpeg. Requires a word-level transcript.
Also in 5 projects that use this
nateherkaiSkillcut-silences
Agent 1 of the video editing pipeline. Removes silences and dead air from a talking-head recording. Use when asked to cut silences, trim pauses, remove dead air / gaps, or tighten the pacing of a raw video, given a word-level transcript. Produces an edit list (EDL), a re-timed transcript for downstream agents, and optionally the cut video via ffmpeg. Does NOT cut mistakes, repeats, or false starts — that is the cut-mistakes agent.
Also in 5 projects that use this
LangChainSkillfaceless-explainer
Turn arbitrary text — an article, notes, a topic, a brief — into a faceless explainer video: there is no site or footage to capture, so the visuals are invented per scene (typography, abstract graphics, diagrams, data-viz). Use for topic explainers, concept breakdowns, how-tos, listicles. Not a video built from a website (/product-launch-video — promo or tour). Unclear → /hyperframes.
Also in 15 projects that use this
anton-abyzovSkillhyperframes-media
Asset preprocessing for HyperFrames compositions — text-to-speech narration (Kokoro), audio/video transcription (Whisper), and background removal for transparent overlays (u2net). Use when generating voiceover from text, transcribing speech for captions, removing the background from a video or image to use as a transparent overlay, choosing a TTS voice or whisper model, or chaining these (TTS → transcribe → captions). Each command downloads its own model on first run.
Also in 14 projects that use this
LangChainSkillhyperframes-audio
Use when audio already placed in a HyperFrames composition needs to be mixed: fade-in/fade-out, crossfade, track gain or volume, volume automation, ducking, a music bed that fights a voiceover (voiceover carve), effects on a track (EQ, compressor, limiter, gate, saturation, delay, reverb, chorus, phaser, bitcrush), automation envelopes drawn on a track's volume or any effect parameter, or one submix bus carrying a chain, a fader and an automation clock for several tracks at once (`<hf-audio-group>`). Don't use for sourcing or generating audio — finding BGM, SFX, or making a voiceover is `/media-use`. Don't use for clip timing or track layout, which is `/hyperframes-core`.
Also in 16 projects that use this
- +2 more from nateherkai
- +2 more from langchain-ai
Other versions56 projects use a version of this.
Word for word · 0
None found.
Edited · 7
- calesthio/OpenMontage★ 78k81% same
- OpenMontageInc/OpenMontage★ 78k81% same
- EvovexAI/EvoFlow★ 61281% same
- duyet/clickhouse-monitoring★ 30380% same
- LinHao-city/StoryMind★ 1081% same
- Gopyr/gopyr-skills-hub★ 052% same
- Nankov-ai/anthropics-skills★ 080% same
Wrote their own version · 49
- heygen-com/hyperframes★ 81ksame name
- openai/plugins★ 7.8ksame name
- nateherkai/hyperframes-student-kit★ 2.2ksame name
- edenfunf/reelmimic★ 1.8ksame name
- nateherkai/herk-edit-kit★ 1.5ksame name
- OpenMinis/MinisSkills★ 602same name
- langchain-ai/design-agent★ 596same name
- boraoztunc/skills★ 454same name
- notivn/AIEVv2★ 136same name
- notivn/AIEV★ 132same name
39 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository54 other files it gives its agents.
- AGENTS.mdAGENTS.md
- a11ySkill
- agently-mailSkill
- animateSkill
- auditSkill
- chinese-work-writingSkill
- clarifySkill
- competitive-analysisSkill
- content-repurposing-pipelineSkill
- critique-information-densitySkill
- critiqueSkill
- design-principlesSkill
- design-qa-checklistSkill
- edit-article-spineSkill
- error-handling-uxSkill
- evidence-first-product-designSkill
- form-designSkill
- frontend-designSkill
- grillingSkill
- grill-meSkill
- guizang-ppt-skillSkill
- hardenSkill
- hierarchySkill
- hyperframes-animationSkill
- hyperframes-coreSkill
- hyperframes-creativeSkill
- hyperframes-keyframesSkill
- hyperframes-registrySkill
- hyperframesSkill
- image2-api-generatorSkill
- information-architectureSkill
- jobs-to-be-doneSkill
- layers-conceptual-modelSkill
- layers-domainSkill
- layers-interaction-flowSkill
- layers-introSkill
- layers-observed-behaviourSkill
- layers-orientSkill
- layers-product-strategySkill
- layers-surfaceSkill
- layers-user-needsSkill
- loading-statesSkill
- media-useSkill
- obsidian-cliSkill
- optimizeSkill
- remotion-to-hyperframesSkill
- responsive-designSkill
- search-uxSkill
- setupSkill
- state-machineSkill
- teachSkill
- usability-test-planSkill
- visual-hierarchySkill
- windows-c-drive-cleanupSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 1 is distinctive, and 5 are very specific to this project.
0
Common
Most of the 54 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 54 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

