HyperFrames Video Entry Point
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
Direct and implement programmatic videos from a natural-language sentence: brief, shots, style, timeline, assets, engine-specific coding prompts, draft, review and repair.
$ npx skills add agentsope/SkillAlchemy --skill agentsope-ai-video-director -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentsope/SkillAlchemy agentsope-ai-video-director --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agentsope/SkillAlchemy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agentsope-ai-video-director .claude/skills/agentsope-ai-video-director && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agentsope-ai-video-director" agent skill from https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsope-ai-video-director into .claude/skills/agentsope-ai-video-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentsope-ai-video-director", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsope-ai-video-directorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentsope/SkillAlchemy --skill agentsope-ai-video-director -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentsope/SkillAlchemy agentsope-ai-video-director --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentsope/SkillAlchemy.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agentsope-ai-video-director .agents/skills/agentsope-ai-video-director && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agentsope-ai-video-director" agent skill from https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsope-ai-video-director into .agents/skills/agentsope-ai-video-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentsope-ai-video-director", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentsope/SkillAlchemy --skill agentsope-ai-video-director -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentsope/SkillAlchemy agentsope-ai-video-director --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentsope/SkillAlchemy.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agentsope-ai-video-director .cursor/skills/agentsope-ai-video-director && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agentsope-ai-video-director" agent skill from https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsope-ai-video-director into .cursor/skills/agentsope-ai-video-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentsope-ai-video-director", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentsope/SkillAlchemy.git --path skills/agentsope-ai-video-director--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentsope/SkillAlchemy --skill agentsope-ai-video-director -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentsope/SkillAlchemy agentsope-ai-video-director --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentsope/SkillAlchemy.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agentsope-ai-video-director .gemini/skills/agentsope-ai-video-director && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agentsope-ai-video-director" agent skill from https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsope-ai-video-director into .gemini/skills/agentsope-ai-video-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentsope-ai-video-director", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentsope/SkillAlchemy agentsope-ai-video-directorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentsope/SkillAlchemy --skill agentsope-ai-video-director -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentsope/SkillAlchemy.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agentsope-ai-video-director .github/skills/agentsope-ai-video-director && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agentsope-ai-video-director" agent skill from https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsope-ai-video-director into .github/skills/agentsope-ai-video-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentsope-ai-video-director", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentsope/SkillAlchemy --skill agentsope-ai-video-director -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentsope/SkillAlchemy agentsope-ai-video-director --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentsope/SkillAlchemy.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agentsope-ai-video-director .opencode/skills/agentsope-ai-video-director && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agentsope-ai-video-director" agent skill from https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsope-ai-video-director into .opencode/skills/agentsope-ai-video-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentsope-ai-video-director", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
agentsope-ai-video-directorDirect and implement programmatic videos from a natural-language sentence: brief, shots, style, timeline, assets, engine-specific coding prompts, draft, review and repair.
Agentsope AI Video Director is an agent skill from agentsope/SkillAlchemy. Direct and implement programmatic videos from a natural-language sentence: brief, shots, style, timeline, assets, engine-specific coding prompts, draft, review and repair. Use when asked to make a video, product launch, explainer, Reel/Short, kinetic typography or docs-to-video with HyperFrames, Remotion or Motion Canvas, or to improve an existing code-video project. 一句话视频制作与导演工作流。
Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 29 other files, including reference files (for example `README.md`, `examples/data-explainer.md` and `examples/hyperframes-prompt.md`).
It sits in Media & Creative, covering Motion graphics, AI video generation and Video production. It works with HeyGen and Remotion. The repository describes itself as: From thought to skill. From signal to structure. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d0f0355. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Agentsope AI Video Director loads about 3.5k tokens when it runs, and up to ~291k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 1,656 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from agentsope/SkillAlchemy at commit d0f0355, republished under its MIT licence (© agentsope). 1,656 words, ~3,516 tokens.
.claude/skills/agentsope-ai-video-director/SKILL.md (or your agent's skills folder). This skill also uses 27 other files; get the full folder from GitHub.Use this skill for an authorized video-production task, including:
Do not activate solely for:
Execute the following authored application chain (C01–C09). Every step produces a retained result before its dependent step starts. Read operation cards and match each operation’s exact scope before use. Do not turn a source-local case into a rule for a new film.
Read prompt fields.
Extract goal, audience, main message, platform, supplied facts, duration/aspect,
language, audio intent, assets, engine preference and delivery requirements.
Preserve explicit values. Mark inferred audience, style and format as assumptions.
If unstated, use these reversible package defaults, subject to user context:
15s for a short product/social draft; 30s for a compact data explanation;
60s for a compact docs/knowledge draft; 30fps; 16:9 for general explainers,
9:16 when vertical social is explicit; original geometric visuals and system fonts.
These values are authored conventions, not evidence-proven creative optima.
Retain supplied facts with their source. Record unknown facts and synthetic placeholders separately.
A missing product metric must not become a fabricated benefit claim.
Clarify only critical facts, permissions or assets that prevent the requested result;
continue a provisional brief and authorized work while those inputs are pending.
Output director_brief with declared, assumptions, facts, unknowns and audio_intent.
Read the matching video guide and
director fields.
Choose an authored communicative pattern from the goal and available material.
Write a shot table: ID, interval in seconds, subject/focal action, framing/layout,
exact copy, animation intent, transition, asset, audio/caption cue and acceptance.
Close the timeline at the declared duration; record intentional overlaps or gaps.
Define palette, typography, hierarchy, backgrounds, safe-area assumptions and motion intent.
Build an asset ledger with provenance, permission, intended use and unresolved rights.
Keep original synthetic visuals available when third-party assets are pending.
For voice-led work, use real authorized audio timing when ready (P28);
if audio is pending, label the entire scene/caption clock provisional.
Do not apply P05’s 2–10-minute or P06’s 90–180-second guidance to short examples as proven rules.
P02/P05/P06/P09 are optional author suggestions, 待验证; they are never quality guarantees.
Output director_plan: brief, shots, style tokens, timeline, assets, audio, target and acceptance.
Read isolated adapters.
Probe actual Node, browser, FFmpeg/exporter, installed versions and local scripts;
record command output/version/license evidence and missing capabilities.
Use an existing compatible project when available; do not silently upgrade it.
Select HyperFrames only within the verified 0.8.142 profile and its local dependencies.
Select Remotion server only with matched 4.0.534 packages, browser and intended-use eligibility (P37).
Its browser compositor is a separate route with its own supported DOM/media/codec subset (P23).
Motion Canvas 3.17.2 uses its Vite editor and registered FFmpeg exporter (P25),
not a fabricated headless render CLI. Preserve release/main and binary-license distinctions (P39).
The Canvas/WebGL renderer is only the recorded source-local profile (P27),
not a universal fallback to recreate or vendor.
Do not buy services or assets. If production rights are unknown, retain the plan/prompt,
use only eligible authorized work and report the unresolved eligibility.
If no runnable eligible exporter exists, output its concrete gap and the achieved state.
Output engine_route: engine/profile/version, environment evidence, eligibility and gaps.
Read the selected adapter’s exact contract and relevant
HyperFrames example or
Remotion example.
Include the complete director brief, shot table, style, timeline, asset ledger,
audio/caption timing, dependency pins, file/output requirements and acceptance.
Include only the selected adapter’s admitted API/CLI bindings.
For HyperFrames, seconds, static finite root duration and completed paused registration apply (P16–P19).
For Remotion, frame-derived state, zero-based local Sequence clocks and explicit clamps apply (P21).
Audio fields use frames; Caption fields use milliseconds (P40).
For Motion Canvas, generator yield* timing uses seconds and persisted event metadata (P25/P31).
Never transpose APIs or clock units between engines.
Specify an actual draft, relevant static/render checks, repair and state report as outputs.
Output engine_prompt with the engine identity at its start; never join adapter templates.
When the chosen environment permits, create original project files and assets,
execute its admitted preview/render path and retain logs, exit codes and output paths.
Do not stop at a prompt when implementation/rendering is authorized and feasible.
If a dependency, critical fact or right blocks a step, preserve the implemented work,
state the exact blocker, and deliver the reachable plan/prompt/code result.
Check the resulting artifact exists; a successful-looking log is not the video.
Output code and an encoded draft only when those artifacts were actually created.
Keep plan_available, code_available and encoded_artifact_available independent.
Read quality rubric and
checklist.
Check narrative, visual consistency, pacing, animation, legibility, facts, audio,
technical correctness and reproducibility against the declared acceptance.
Run static syntax/resource/timeline checks that the project actually supports.
For encoded drafts, inspect technical metadata, representative and consecutive frames,
then watch full motion and listen when the tools permit; record each coverage separately.
A sampled frame cannot establish continuous pacing or audible synchronization (P35).
For narrated intent without audio, mark audio failed/pending; do not mark listening unnecessary.
Record pass/fail/warning/unknown/not_executed/not_applicable with evidence per dimension.
Output qa_report; call a result reviewed only for checks actually performed.
Turn observed defects into specific shot/code/asset/timing changes. Use candidate recovery only when its card contains an admitted recovery within scope; otherwise apply the explicit authored acceptance requirement and label its origin C06. Rerun affected static/render/frame/motion/audio checks after the change. Preserve the initial defect, change and new evidence; do not silently replace a failed verdict. Deliver the current video/code/plan paths, resolved assumptions, sources/rights, engine/version, commands used, review coverage and remaining gaps. Record all independent artifact states in the handoff, including preview, encode, technical probe, sampled frames, full-motion review, listening and reproducibility. An unexecuted check stays unexecuted even when a different check passed. Use manual review and its output record contract for evaluation.
General means reusable inside its exact scope, not universal or visually validated. Full cards preserve 40 admissions and every absent recovery/verification component.
| Model | Use within its card’s scope | Primary action |
|---|---|---|
| H1 / P02 | Optional HyperFrames prompt control | Choose delegated aesthetics or explicit layout/timing |
| H2 / P05–P06 | Optional long/structured explainers | Word-led question or scene-frame budget |
| H3 / P09 | Optional Lemo dense sonification/occlusion | Style-local note/pen adjustments |
| H4 / P15 | TikTok auction ad placement only | Match its actual overlay template |
| M1 / P16–P19 | HyperFrames 0.8.142 GSAP profile | Seconds, root/IDs, readiness, ownership |
| M2 / P21–P24 | Remotion 4.0.534 isolated routes | Frame state, export, resource handles |
| M3 / P25–P26/P31 | Released Motion Canvas 3.17.2 | Editor exporter, audio, event metadata |
| M4 / P28/P40 | Ready/pending voice; typed units | Provisional audio or measured clock translation |
| M5 / P37–P38 | Intended use and source-derived assets | Resolve engine and individual asset permissions |
Scoped P01/P03–P04/P07–P08/P10–P14/P20/P27/P29–P30/P32–P36/P39 are conditional source notes in the cards and case ledger. Read their source/version/condition before consulting a note; no scoped aesthetic is a generic prescription. Authored C01–C09 define this package’s workflow/schema/evaluation; empirical evidence IDs are empty for them. Rule→finding→source/version trace and exact bindings are in provenance.
Lead with the concrete result and actual artifact state. Use Chinese or the user’s language for useful directions; retain exact API names and units. Use concise prose plus shot/timeline tables when they help review the film. Mark assumptions, supplied facts and unknowns explicitly; never present a placeholder as fact. A coding prompt includes implementable detail, not merely mood words. Forbidden boilerplate: “Analyzing this with the framework…”, “Following the model card…”, “Let me analyze this systematically…”, “Would you like me to expand further?” Cite the original source naturally; keep operation IDs in trace metadata, not promotional claims. Routine reversible implementation choices do not require an extra approval milestone.
| Mode | Concrete deliverable | State rule |
|---|---|---|
| Director plan | Brief, shots, style, timeline, assets | Plan available; no render implied |
| Engine prompt | Isolated versioned coding-agent prompt | Prompt available; no code implied |
| Implementation | Original code/assets and execution log | State actual files and blocked steps |
| Rendered draft / QA | Encoded artifact and covered checks | Encoding and review remain independent |
| Repair | Defect, code/timing change, rerun evidence | Only affected checked states advance |
| Handoff | Paths, states, commands, rights, gaps | Unknown/unexecuted states remain visible |
| Resource | Load when |
|---|---|
| Prompt patterns | Normalize input and write a coding brief |
| Director playbook | Fill shot/style/timeline/asset fields |
| Video types | Choose one of seven authored guides |
| Engine adapters | Probe, route and implement one engine |
| Quality rubric | Inspect/revise actual artifacts |
| Operation cards | Match exact admitted scopes before acting |
| Source index | Verify author/version/rights |
| Case studies | Consult provenance and source-local examples |
| Research notes | Understand coverage and verification limits |
| Provenance | Trace rules, nulls, bindings and aliases |
| Package guide | Install locally, browse examples/tests and run checks |
© agentsope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 27 other files (references) in skills/agentsope-ai-video-director of agentsope/SkillAlchemy.
Open the folder on GitHubat commit d0f0355
Agentsope AI Video Director next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agentsope AI Video Director this skillagentsope/SkillAlchemy | 436 | — | ~3.5k | Automated safety check: Pass | MIT | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Super Video MakerBomx/super-video-maker-skill | 310 | — | ~11k | Automated safety check: Notes | None | |
| AI Motion DirectorPluviobyte/video-production-skills | 671 | — | ~1.6k | Automated safety check: Pass | None | |
| Avatar Videocalesthio/OpenMontage | 66k | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | |
| Remotion to HyperFrames Porterheygen-com/hyperframes | 60k | 3 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
Bomx/super-video-maker-skill
End-to-end AI video production skill for agentic frameworks.
Pluviobyte/video-production-skills
Motion-first AI video director for topic-to-video creation. An agent skill from Pluviobyte/video-production-skills.
calesthio/OpenMontage
Create AI avatar videos with precise control over avatars, voices, scripts, scenes, and backgrounds using HeyGen's v2 API.
heygen-com/hyperframes
Ports an existing Remotion (React) composition to HyperFrames HTML with GSAP, one way, and grades the result against a tiered set of reference fixtures.
Pluviobyte/video-production-skills
Analyze, recreate, align, and verify reference-video motion.
agentsope/SkillAlchemy
SOP for terminal-based, git-native AI pair programming with Aider (git work-tree + tree-sitter repo-map + edit-format + human-in-loop REPL).
agentsope/SkillAlchemy
Coder-agent working-file budget discipline: keep the editable working set (files you /add into writable context) under ~25k tokens, separate "read" from "edit", delegate breadth to a read-only…
agentsope/SkillAlchemy
Split a multi-call LM workflow by cognitive load, not by accuracy: let one strong model make the few reasoning decisions and a cheap model do the many mechanical executions (Aider architect+editor…
agentsope/SkillAlchemy
SOP for building multi-agent systems with CrewAI — role-based collaboration, sequential/hierarchical processes, Flows, memory, delegation.
agentsope/SkillAlchemy
SOP for building LLM applications on Dify — visual workflow + chatflow + agent + RAG knowledge base + plugin marketplace + observability, self-hostable.
agentsope/SkillAlchemy
Designs multiscale chunking for RAG by embedding small units for retrieval precision and returning larger context for synthesis.
Categories
Direct and implement programmatic videos from a natural-language sentence: brief, shots, style, timeline, assets, engine-specific coding prompts, draft, review and repair. Agentsope AI Video Director is an agent skill from agentsope/SkillAlchemy. Direct and implement programmatic videos from a natural-language sentence: brief, shots, style, timeline, assets, engine-specific coding prompts, draft, review and repair.
Agentsope AI Video Director fits situations like: asked to make a video; kinetic typography; docs-to-video with HyperFrames; improve an existing code-video project.
Run `npx skills add agentsope/SkillAlchemy --skill agentsope-ai-video-director -a claude-code`. Or copy the skill folder (skills/agentsope-ai-video-director in agentsope/SkillAlchemy) into .claude/skills/agentsope-ai-video-director in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentsope/SkillAlchemy --skill agentsope-ai-video-director -a codex`. Or copy the skill folder (skills/agentsope-ai-video-director in agentsope/SkillAlchemy) into .agents/skills/agentsope-ai-video-director in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentsope/SkillAlchemy --skill agentsope-ai-video-director -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentsope-ai-video-director, .gemini/skills/agentsope-ai-video-director, .github/skills/agentsope-ai-video-director and .opencode/skills/agentsope-ai-video-director in your project.
SKILL.md names no scripts, command-line tools or credentials: Agentsope AI Video Director is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Agentsope AI Video Director is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 288k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Agentsope AI Video Director: HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars), Super Video Maker (Bomx/super-video-maker-skill, 310 stars), AI Motion Director (Pluviobyte/video-production-skills, 671 stars) and Avatar Video (calesthio/OpenMontage, 66k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentsope (a GitHub user) maintains it in agentsope/SkillAlchemy, which has 436 GitHub stars. The repository holds 46 skills in this directory. The repository was last updated on October 9, 2026.
Source: agentsope/SkillAlchemy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.