hyperframes-video
Use when the user wants to generate a rendered promotional video (not just a script) for a PR, feature, or product change — produces a HyperFrames HTML composition, iterates with `npx hyperframes preview`, and outputs mp4 + poster for X/LinkedIn/social.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add AlemTuzlak/skills --skill hyperframes-video
Maintenance
fresh
2d since push
Risk
Needs review
License is unclear
GitHub quality
39
57/100 Quality · 63/100 Trust
Coverage tags
Review notes
License is unclear · Permission surface may require sandboxing
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
39 GitHub stars
Repo activity
39 stars, 0 forks
Maintenance
2d since push
License
Unknown
Install
npx skills add AlemTuzlak/skills --skill hyperframes-video
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Repository license is unknown, which creates uncertainty about usage rights.
- Financial research output is not financial advice; require human review before any live investment decision.
- License is unclear
- Low GitHub adoption signal
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is unclear
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills add AlemTuzlak/skills --skill hyperframes-video
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 55/100
- Audit
- 70/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add AlemTuzlak/skills --skill hyperframes-videoDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown, which creates uncertainty about usage rights.
- High-risk permission hints: Shell or command execution
Alternative
Frontend Design
170.9K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
Taste Skill: Anti-Slop Frontend
79.0K Stars
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Alternative
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Alternative
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170.9K Stars
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Agent safety v2
34/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Browser automation
Skill may drive a browser or interact with web pages.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution
- License is unclear
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install alemtuzlak-hyperframes-videoAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20hyperframes-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20hyperframes-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/alemtuzlak-hyperframes-video/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use hyperframes-video in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20hyperframes-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alemtuzlak-hyperframes-video/install
Install command: npx skills add AlemTuzlak/skills --skill hyperframes-video
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/alemtuzlak-hyperframes-video/install
LLM text format
/api/skills/alemtuzlak-hyperframes-video/install?format=text
Find alternatives
/api/skills/search?q=hyperframes-video&limit=3
Agent prompt
Use hyperframes-video for this task. Review https://www.openagentskill.com/api/skills/alemtuzlak-hyperframes-video/install, then install with: npx skills add AlemTuzlak/skills --skill hyperframes-videoRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/alemtuzlak-hyperframes-video
LLM text
/api/registry/manifest/alemtuzlak-hyperframes-video?format=text
Install alias
/api/registry/install/alemtuzlak-hyperframes-video
Recommend
/api/registry/recommend?task=Use%20hyperframes-video%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
Needs review · 70/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
GitHub automation
Trust label
Prototype first
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 57/100 quality profile
- 5 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
- Repository license is unknown, which creates uncertainty about usage rights.
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
CHECK39 GitHub stars
Stars/forks activity
CHECK39 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
CHECKUnknown
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Repository license is unknown, which creates uncertainty about usage rights.
- Financial research output is not financial advice; require human review before any live investment decision.
- License is unclear
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 39 GitHub stars
- Stars/forks activity: 39 stars, 0 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Permission surface: shell or command execution, filesystem or document access
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Publish consistently
Content automation
I need my agent to turn research and product updates into useful content drafts.
Workflow fit
Add it to a complete workflow
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Frontend Design
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Taste Skill: Anti-Slop Frontend
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Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
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Overview
--- name: hyperframes-video description: Use when the user wants to generate a rendered promotional video (not just a script) for a PR, feature, or product change — produces a HyperFrames HTML composition, iterates with `npx hyperframes preview`, and outputs mp4 + poster for X/LinkedIn/social. ---
# HyperFrames Video
Turn a PR into a rendered short-form promo video with a hook, code moments, and CTA, using HyperFrames. Iterate with live preview via `npx hyperframes preview`, then render `video.mp4` and `poster.jpg` for X/LinkedIn/social.
Unlike `/video-script` (which produces a textual script), this skill produces the actual video file. Counterpart to the `remotion-video` skill — same workflow shape, same storytelling rules, but built on the HyperFrames stack instead of Remotion.
## Triggers
Invoke when the user says: "make a video for this PR", "hyperframes video", "render a promo video", "video for X/LinkedIn", or when selected from `/marketing-pipeline`.
## How this skill relates to the hyperframes ecosystem
This skill carries only the promo-video-from-PR logic: input resolution, narrative planning, motif derivation, hook enforcement, scene-plan auditing, render-time gates. The mechanics of authoring HyperFrames compositions, running the CLI, animating with GSAP, and installing registry components are owned by separate skills you should invoke when their topic comes up:
- **`hyperframes`** — composition authoring rules: DESIGN.md gate, Layout Before Animation, palettes, transitions, typography, motion principles, captions, audio, TTS. - **`hyperframes-cli`** — every `npx hyperframes <command>` (init, lint, inspect, preview, render, transcribe, tts, doctor, browser, info, upgrade, compositions, docs, benchmark). - **`gsap`** — GSAP timeline patterns, easing, stagger, performance, position parameter, labels, nesting, playback. - **`hyperframes-registry`** — registry blocks/components and how to wire them via `hyperframes add`.
When this skill needs to do something covered by one of those skills, defer to that skill's instructions rather than re-deriving them here.
## Process Flow
``` Resolve input → Phase 1: Discovery → Phase 2: Configuration → Phase 3: Narrative planning → Phase 4: Scaffold → Phase 5: First draft + iterate → Phase 6: Render → Phase 7: Cleanup ```
Phases 1, 3, 5, and 7 have explicit approval gates. Phase 2 is an interactive Q&A. Phase 5 is a freeform iteration loop that can run many rounds.
## "Use Sane Defaults" / "Don't Ask Questions" — What It Does and Doesn't Override
When the user invokes the skill with phrasing like *"use sane defaults"*, *"don't ask questions"*, *"non-interactive"*, *"just ship it"*, or any equivalent — interpret it precisely:
**It DOES override (skip the prompt, pick the default):**
- Q2.1 duration → derive from scope using the ladder in Q2.1 (still in the 15–60s window); pick the midpoint of the matched scope band and proceed without asking - Q2.2 aspect ratio → 16:9 landscape - Q2.3 project location → `marketing/<feature-slug>/hyperframes/` - Q2.4 brand *confirmation* (the "use these / customize / provide your own?" question) - Phase 1.4 scope confirmation - Phase 3.0 motif confirmation - Phase 3.1 story-pattern confirmation - Phase 3.3 scene-plan approval - Phase 5 freeform iteration loop (the "what would you like to change?" prompt)
**It does NOT override (must always run regardless):**
- Brand color/font/logo **scanning** (Q2.4 detection — see HARD-GATE in Q2.4). Hardcoding colors from training-data assumptions about a project is a forbidden shortcut. - Phase 5 **preview** (HARD-GATE in Phase 5). Even in fully unattended mode, `npx hyperframes preview` must start and the studio URL must be opened in the browser before the render runs. The user can interrupt; the agent must not pre-decide for them. - Phase 6 pre-render audits (storytelling, hook rules, motif presence, pacing variance, value-prop timing, contrast). These exist to prevent shipping a generic video. - Phase 7 cleanup question (the user owns project disposition).
If you're tempted to skip a HARD-GATE because the user "said no questions" — re-read this section. The user said no *questions*, not no *gates*.
## Input Resolution
Resolve the argument (if provided) in this order:
1. Path to a marketing brief (`.md` containing "Executive Summary" or "Key Messages") → **marketing brief** 2. Path to a blog post (`.md` with blog post structure) → **blog post** 3. Path to a changelog → **changelog** 4. GitHub PR URL or `#\d+` pattern → **PR** 5. Matches `<ref>..<ref>` or `<ref>...<ref>` (alphanumeric + `/`, `_`, `.`, `-` on each side) → **git ref range** 6. Resolves to an existing file/directory → **codebase feature** 7. Otherwise → **freeform text**
If no argument is provided, ask: "What should the video be about? You can provide a PR URL/number, marketing brief, blog post, changelog, git ref range, file/directory path, or just describe the feature."
When invoked from the pipeline with a PR *and* upstream marketing-brief/blog-post paths, read both: PR for technical accuracy, upstream content for positioning/tone.
(Detailed phase specs begin below — see Phase 1.)
## Phase 1: Discovery
### Step 1.1 — Check hyperframes skills availability
Attempt to invoke the `hyperframes` and `hyperframes-cli` skills via the Skill tool. If either is unavailable, present:
> "The `hyperframes` / `hyperframes-cli` skills aren't installed. Options: > a) proceed with baseline knowledge (quality may be reduced) > b) wait while you install them > c) cancel"
If the user picks (a), emit a warning in the final summary noting reduced quality.
### Step 1.2 — Analyze input
| Input type | What to read | |---|---| | Marketing brief | positioning, key messages, audience | | Blog post | headline, narrative, examples | | Changelog | highest-impact entry | | PR | `gh pr view <n> --json title,body,files,labels`, diff (`gh pr diff`), commit messages, linked issues | | Git refs | `git diff <range>` + `git log <range> --oneline` | | Codebase path | read the specified files/directories | | Freeform | parse the user's description |
For PRs with 20+ files, filter to user-facing changes only — skip `tests/`, `ci/`, `.github/`, lockfile changes, dep bumps.
**Error handling:** - `gh` not available → tell the user, ask for an alternative (diff file, freeform description) - Invalid PR/ref → ask user to verify - File not found → ask for the correct path
### Step 1.2a — PR deep analysis (when input is a PR)
When the input is a PR, the brief table in Step 1.2 is not enough. PR bodies are routinely vague, outdated, or focused on implementation rather than user value, and a video built off the body alone tends to overclaim or miss the headline angle entirely. Before continuing to Step 1.3, run this structured analysis and produce a written **PR analysis block** that becomes the source of truth for Steps 1.4 (scope confirmation), Q2.1 (duration ladder), and Phase 3 (narrative planning).
**Mandatory steps — do all of them:**
1. **Pull metadata and identify the base branch.** ``` gh pr view <n> --json number,title,body,baseRefName,headRefName,files,labels,commits,additions,deletions ``` Record `baseRefName` (usually `main` / `master` / `develop`) — that is the diff reference. `gh pr diff <n>` automatically compares the PR head against this base.
2. **Pull the full diff against the base.** ``` gh pr diff <n> ``` For very large PRs (>500 lines or >20 files), also list changed files via `gh pr view <n> --json files`.
3. **Filter to user-facing surfaces.** Ignore (do not let these shape the headline angle): `tests/`, `__tests__/`, `*.test.*`, `*.spec.*`, `__mocks__/`, `ci/`, `.github/`, lockfiles, dep bumps without behavior change, generated/build artifacts (`dist/`, `build/`, `.next/`), and formatting-only diffs. What remains is the user-facing surface of the PR.
4. **Enumerate the public-API delta.** From the filtered diff, list every change a user could observe or write code against: - New, renamed, or removed `export`s (functions, types, components, hooks, classes, constants) - New CLI commands, flags, or environment variables - New routes, endpoints, or event names - New config keys or schema fields - Changed default values for existing public surfaces - Changed error messages, log shapes, or response shapes the user could rely on
Grep the diff for added lines beginning with `export `, new top-level `function`/`class`/`const` in `src/` / `lib/` / `packages/*/src/`, new files in those trees, and changes to public type signatures. **If you cannot point at a line in the diff for a claimed API, the claim is wrong — drop it.**
5. **Enumerate the behavior delta.** Beyond API surfaces, list user-visible behavior changes: UI elements added/changed (with file references), CLI / network output that looks different, side effects firing under new conditions, removed limitations, performance characteristics that changed.
6. **Write the before / after value statement.** Exactly two sentences, both grounded in concrete diff evidence: - **Before:** *"Before this PR, a user who wanted to ___ had to ___."* - **After:** *"After this PR, the same user can ___."*
The "had to" half must be a real prior workflow you can describe — copy-pasting an adapter from the docs, installing a second package, writing boilerplate, hitting an error, switching to a different tool. If the honest "Before" sentence is *"they could already do this"*, the PR has no user-visible value delta — see step 8.
7. **Cross-check the PR body against the diff.** Walk the body's claims and the diff side-by-side: - **Body claims a feature → does the diff confirm?** If the body says "added X" and the diff has no public surface for X (only tests, only docs, only internal helpers), flag it: *"PR body claims X but the diff doesn't expose X to users — should I shift the angle to <what the diff actually shows>?"* - **Diff shows multiple distinct features → body emphasizes one?** Flag the others as candidate angles: *"The body emphasizes A, but the diff also adds B and C. Which is the headline angle?"* - **Body is empty / boilerplate / `[BLANK]`?** Infer from the diff; make the inferred angle explicit and confirm with the user at Step 1.4. - **List "surprises"** — anything in the diff *not* mentioned in the body that affects user-visible behavior. Surprises are often the real story.
8. **Bail-out check: is this PR actually user-visible?** If after steps 4–6 you cannot name a single new thing the user can do or observe, the PR is not video-worthy as a feature launch. **Stop and ask the user:** > "This PR looks like an internal refactor / test-only / dep-bump PR — I can't find a user-visible value delta. Options: > a) shift to a performance / DX / cleanup angle if numbers support it > b) pick a different PR or input > c) cancel"
Do not invent a feature angle to fill the gap. A confabulated angle wastes a full iteration round and destroys user trust on the very first draft.
9. **Produce the PR analysis block.** Write the result as a short structured block before continuing to Step 1.3. This block — not the PR body — is the source of truth for everything downstream:
``` PR analysis — #1234 "Add fromZodSchema support" Base: main · Head: feature/zod-schema · Author: <login> User-facing files: 3 (packages/core/src/index.ts, packages/core/src/zod.ts, packages/core/src/types.ts) Filtered out: 5 test files, 2 doc files, lockfile
Public-API delta: + export function fromZodSchema(schema: ZodSchema): StandardSchema + export type ZodCompatibleSchema ~ default error code for ZodError changed: 'invalid_type' → 'STANDARD/type'
Behavior delta: - Users importing zod schemas no longer need a manual adapter. - Error messages from zod paths now use the StandardError shape.
Before / after: Before: copy a 15-line
Technical details
- Version
- 1.0.0
- License
- Unknown
- Last updated
- Aug 20, 2026
- Published
- Aug 19, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 66/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for hyperframes-video, ready for a manual X post.
A practical pick for design or creative work: hyperframes-video: Use when the user wants to generate a rendered promotional video (not just a script) for a PR, feature, or product change —... 39 stars https://www.openagentskill.com/skills/alemtuzlak-hyperframes-video?ref=x
Optional reply with install command
Listing + install path for hyperframes-video: https://www.openagentskill.com/skills/alemtuzlak-hyperframes-video?ref=x Install: npx skills add AlemTuzlak/skills --skill hyperframes-video
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- AlemTuzlak
- Source
- AlemTuzlak/skills
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to AlemTuzlak but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/alemtuzlak-hyperframes-video)
[](https://www.openagentskill.com/skills/alemtuzlak-hyperframes-video)
[](https://www.openagentskill.com/skills/alemtuzlak-hyperframes-video/audit)
[](https://www.openagentskill.com/skills/alemtuzlak-hyperframes-video)Author
AlemTuzlak
@alemtuzlak
Tags
Platform fit
Health signals
- GitHub stars
- 39
- Quality score
- 34/100
- Last GitHub push
- Aug 20, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 5
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Do not auto-install
- GitHub adoption39 GitHub starsCHECK
- Stars/forks activity39 stars, 0 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance2d since pushPASS
- License clarityUnknownCHECK
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, network or browser surfaceINFO
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