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.
A skill your agent uses for local FFmpeg/FFprobe media inspection, remuxing, transcoding, filtering, evidence-bounded video review, transcript-assisted editorial plans, edit decision lists…
$ npx skills add magnus919/agent-skills --skill ffmpeg -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install magnus919/agent-skills ffmpeg --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/magnus919/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ffmpeg .claude/skills/ffmpeg && 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 "ffmpeg" agent skill from https://github.com/magnus919/agent-skills/tree/main/ffmpeg into .claude/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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/magnus919/agent-skills/tree/main/ffmpegType 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 magnus919/agent-skills --skill ffmpeg -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install magnus919/agent-skills ffmpeg --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ffmpeg .agents/skills/ffmpeg && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ffmpeg" agent skill from https://github.com/magnus919/agent-skills/tree/main/ffmpeg into .agents/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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 magnus919/agent-skills --skill ffmpeg -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install magnus919/agent-skills ffmpeg --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ffmpeg .cursor/skills/ffmpeg && 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 "ffmpeg" agent skill from https://github.com/magnus919/agent-skills/tree/main/ffmpeg into .cursor/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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/magnus919/agent-skills.git --path ffmpeg--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 magnus919/agent-skills --skill ffmpeg -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install magnus919/agent-skills ffmpeg --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ffmpeg .gemini/skills/ffmpeg && 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 "ffmpeg" agent skill from https://github.com/magnus919/agent-skills/tree/main/ffmpeg into .gemini/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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 magnus919/agent-skills ffmpegInstalls 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 magnus919/agent-skills --skill ffmpeg -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ffmpeg .github/skills/ffmpeg && 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 "ffmpeg" agent skill from https://github.com/magnus919/agent-skills/tree/main/ffmpeg into .github/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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 magnus919/agent-skills --skill ffmpeg -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install magnus919/agent-skills ffmpeg --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/magnus919/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ffmpeg .opencode/skills/ffmpeg && 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 "ffmpeg" agent skill from https://github.com/magnus919/agent-skills/tree/main/ffmpeg into .opencode/skills/ffmpeg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ffmpeg", 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.
ffmpegA skill your agent uses for local FFmpeg/FFprobe media inspection, remuxing, transcoding, filtering, evidence-bounded video review, transcript-assisted editorial plans, edit decision lists…
Ffmpeg is an agent skill from magnus919/agent-skills. Use this skill for local FFmpeg/FFprobe media inspection, remuxing, transcoding, filtering, evidence-bounded video review, transcript-assisted editorial plans, edit decision lists, podcast/audio cleanup, rendering, and output acceptance. It emphasizes explicit stream selection, source preservation, build-aware commands, bounded evidence, and verified new outputs. Do not use it for libav API programming, opaque whole-video understanding, automatic publishing, rights clearance, DRM circumvention, professional…
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 49 other files, including scripts and reference files (for example `README.md`, `evals/evals.json` and `references/advanced-operations-and-safety.md`). Compatibility notes: Requires ffmpeg and ffprobe for execution; exact filters, codecs, protocols, and hardware backends vary by build and version.
It sits in Media & Creative, covering Video production, Motion graphics and Computer vision. It works with FFmpeg and HeyGen. The repository describes itself as: Curated collection of AI agent skills for Hermes and other agent frameworks. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 96fbe07. 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.
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
ffprobeFrom 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.
Requires ffmpeg and ffprobe for execution; exact filters, codecs, protocols, and hardware backends vary by build and version.
From compatibility in the SKILL.md frontmatter.
Ffmpeg loads about 3k tokens when it runs, and up to ~25k if it reads all its reference files. Until then it costs about 159 tokens; SKILL.md has 1,299 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); the scripts in this folder are not scanned.
The full file from magnus919/agent-skills at commit 96fbe07, republished under its MIT licence (© magnus919). 1,299 words, ~2,998 tokens.
.claude/skills/ffmpeg/SKILL.md (or your agent's skills folder). This skill also uses 47 other files; get the full folder from GitHub.Treat FFmpeg as a typed media pipeline and media editing as an evidence-driven workflow. Inspect the actual source, separate measurements from interpretations, make decisions reviewable, render to a new path, and verify at the intended boundary.
Label consequential claims so unlike evidence is not blended:
templates/media-intake.json to record probe evidence, timing, the output contract, preservation policy, and unresolved assumptions. Keep raw probe output and media in the restricted task workspace, and minimize any shareable derivative.scripts/ffmpeg-preflight; never assume a filter, encoder, or hardware backend exists.-n and a new output path; avoid untrusted shell concatenation. Distinguish keyframe-limited stream copy from decoded/re-encoded precise cuts.templates/media-acceptance-report.md to record pass/fail/blocked per criterion. A valid container or successful command alone is not acceptance.Start technical inspection with:
ffprobe -v error -show_format -show_streams -of json INPUTFor shipped helper workflows, run the helper from the skill root with explicit output paths and limits; treat its JSON result as a report to verify, not as acceptance by itself. When using extract-review-frames, pass timestamps as separate values (--timestamps 0 5 9), not one comma-separated value.
references/media-intake-and-manifest.md before handling supplied/generated media, sensitive material, multiple sources, or a defined delivery contract.references/video-inspection-and-visual-evidence.md when extracting or reviewing frames/clips, choosing samples, or making visual claims.references/editorial-video-editing.md for transcript-assisted selection, sequencing, pacing, transitions, overlays, and reviewable editorial decisions.references/audio-and-podcast-editing.md for podcast cuts, signal cleanup, silence/noise analysis, loudness measurement, and listening gates.references/ffmpeg-edit-decision-lists.md before creating, validating, or turning an EDL into a command plan.references/media-verification-and-acceptance.md before declaring an output complete or compatible.references/media-failure-modes.md when evidence is contradictory, a cut drifts, a filter is missing, review samples are sparse, or a workflow repeatedly fails.references/media-research-source-index.md when supporting claims, refreshing version-sensitive guidance, or recording a technical experiment.references/editorial-workflow-example.md when proving that intake, evidence, EDL, rendering, and acceptance artifacts compose end to end on a synthetic fixture.references/synthetic-media-fixtures.md when a change needs bounded real-media fixtures for cuts, cadence, concat, audio, subtitles, or visual-boundary sampling.references/core-model-and-command-anatomy.md for containers, streams, codecs, option scope, mapping, copy/transcode, and timestamps.references/filters-and-transformations.md for filtergraphs, labels, audio/video processing, and incremental graph debugging.references/intermediate-workflows.md for seeking, trimming, concat, metadata, subtitles, batching, pipes, and streaming.references/advanced-operations-and-safety.md for hardware acceleration, synchronization, reproducibility, network safety, and failure boundaries.references/command-cookbook.md only after inspection and capability checks; every recipe is conditional.references/learning-summary.md for the newcomer-first mental model.references/source-inventory.md for the original FFmpeg source survey and references/local-verification.md only for its explicitly host-specific FFmpeg 8.1.2 observations.templates/media-intake.json — source identities, probes, contract, privacy, preservation, assumptionstemplates/edit-decision-list.json — reviewable source ranges and treatmentstemplates/video-inspection-report.md — technical inspection and bounded evidence ledgertemplates/visual-review-packet.md — attributed frame/clip observations and coverage limitstemplates/vision-review-observations.json — parseable attributed observation block for a prepared packettemplates/podcast-edit-plan.md — mechanical, signal, and editorial audio decisionstemplates/media-acceptance-report.md — layered verification and criterion verdictstemplates/media-acceptance-contract.json — machine-readable stream, format, evidence, loudness, and downstream requirementstemplates/target-compatibility-manifest.json — one named target, sourced requirements, technical constraints, and downstream lanetemplates/research-experiment-record.md — reproducible version/command/result recordRun scripts/editorial-workflow-example in a new or empty task-local directory when a reproducible synthetic integration proof is required. Its PASS_WITH_UNVERIFIED_BOUNDARIES result is deliberately narrower than editorial or destination acceptance.
Run scripts/generate-media-fixtures when tests need deterministic non-personal media. Keep its generated binaries and manifest in the task workspace; commit the generator and assertions, not the outputs.
Use scripts/render-edl for a non-executing single- or multi-source plan. Default to decoded concat-filter assembly; select concat-demuxer stream copy only with matching probe-derived signatures and verified packet/keyframe boundaries. Unsupported transitions must remain explicit errors.
Use scripts/audio-inspect for bounded silence, EBU R128, peak/clipping, and transcript-alignment evidence. Request each measurement explicitly, preserve unavailable filters as UNAVAILABLE, and treat every interval or transcript range as a listening-review candidate. Its optional report output refuses overwrite.
Use scripts/media-verify with a declared acceptance contract, output FFprobe JSON, and optional evidence JSON. It reports every criterion independently as PASS, FAIL, BLOCKED, UNVERIFIED, or NOT_APPLICABLE; only a report with no failed or missing required evidence is an overall pass.
Use scripts/target-compatibility when acceptance names a real player, editor, host, archive, or service. Keep sourced technical requirements and local probe results separate from evidence produced by that exact consumer; a pass applies only to the named target/version.
Use scripts/vision-review-handoff to prepare bounded, privacy-safe frame packets for an authorized human or vision reviewer. Import only attributed reviewed observations with scripts/import-vision-review; treat proposed editorial consequences as evidence for review, never automatic decisions.
Copy a template into the task workspace and replace its placeholder/example values. Do not put private paths, media, transcripts, or review evidence in the public skill repository.
silencedetect reports threshold crossings, not editorial value.Finish only when the requested artifact exists at a new path, required probes and bounded reviews are recorded, the output has been exercised at the relevant downstream boundary, and every acceptance criterion is passed or explicitly blocked. Report untested claims and remaining assumptions instead of filling gaps with plausible output.
© magnus919, 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 47 other files (scripts, references) in ffmpeg of magnus919/agent-skills.
Open the folder on GitHubat commit 96fbe07
Ffmpeg 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 |
|---|---|---|---|---|---|---|
| Ffmpeg this skillmagnus919/agent-skills | 113 | — | ~3k | Automated safety check: Pass | MIT | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 59k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Black White Text OpenerPluviobyte/video-production-skills | 667 | — | ~1k | Automated safety check: Pass | None | |
| Super Video MakerBomx/super-video-maker-skill | 308 | — | ~11k | Automated safety check: Notes | None | |
| Content To Videoarchitectds/modeldock | 117 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| KinocutKyaniteLabs/kinocut | 192 | — | ~5.7k | 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.
Pluviobyte/video-production-skills
Create reusable black-background white-text opening animations for new videos.
Bomx/super-video-maker-skill
End-to-end AI video production skill for agentic frameworks.
architectds/modeldock
Turn arbitrary source content (README, article, story, slides, deck, data/report, product description, tutorial text, audio/transcript, or a bare topic) into a finished, high-quality MP4 video.
KyaniteLabs/kinocut
Use Kinocut for guarded video editing, source-backed planning, FFmpeg operations, media analysis, subtitles, audio workflows, Hyperframes or Revideo rendering, repurposing packages, and release…
heygen-com/hyperframes
Guides the HyperFrames command-line loop for video projects: scaffold, lint, check, preview and render locally or on HeyGen cloud, AWS Lambda or Cloud Run.
magnus919/agent-skills
Organize durable agent research outputs as summaries, analysis, and evidence dossiers.
magnus919/agent-skills
Build portable, first-person colored ASCII city engines and small GIS-derived city packs.
magnus919/agent-skills
Manage color workflows with ICC profiles, working spaces, gamut mapping, and color science.
magnus919/agent-skills
A skill your agent uses for PhD-level expertise in data science, statistics, and machine learning: rigorous statistical analysis, experimental design, causal inference, advanced modeling, research…
magnus919/agent-skills
Use Docker Compose to define, run, debug, and harden multi-container applications.
magnus919/agent-skills
Design, review, simulate, and verify FPGA logic using explicit RTL contracts, clock and reset models, CDC analysis, timing constraints, and reproducible implementation evidence.
Categories
A skill your agent uses for local FFmpeg/FFprobe media inspection, remuxing, transcoding, filtering, evidence-bounded video review, transcript-assisted editorial plans, edit decision lists…. Ffmpeg is an agent skill from magnus919/agent-skills. Use this skill for local FFmpeg/FFprobe media inspection, remuxing, transcoding, filtering, evidence-bounded video review, transcript-assisted editorial plans, edit decision lists, podcast/audio cleanup, rendering, and output acceptance.
Ffmpeg fits situations like: local FFmpeg/FFprobe media inspection; evidence-bounded video review; transcript-assisted editorial plans; edit decision lists.
Run `npx skills add magnus919/agent-skills --skill ffmpeg -a claude-code`. Or copy the skill folder (ffmpeg in magnus919/agent-skills) into .claude/skills/ffmpeg in your project. Claude Code loads it when a task matches its description.
Run `npx skills add magnus919/agent-skills --skill ffmpeg -a codex`. Or copy the skill folder (ffmpeg in magnus919/agent-skills) into .agents/skills/ffmpeg 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 magnus919/agent-skills --skill ffmpeg -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ffmpeg, .gemini/skills/ffmpeg, .github/skills/ffmpeg and .opencode/skills/ffmpeg in your project.
Going by SKILL.md and its folder, Ffmpeg needs the command-line tools its instructions call (ffprobe). Compatibility (from SKILL.md): Requires ffmpeg and ffprobe for execution; exact filters, codecs, protocols, and hardware backends vary by build and version..
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Ffmpeg is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3k tokens (SKILL.md is roughly 12k 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 22k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ffmpeg: HyperFrames Video Entry Point (heygen-com/hyperframes, 59k stars), Black White Text Opener (Pluviobyte/video-production-skills, 667 stars), Super Video Maker (Bomx/super-video-maker-skill, 308 stars) and Content To Video (architectds/modeldock, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
magnus919 (a GitHub user) maintains it in magnus919/agent-skills, which has 113 GitHub stars. The repository holds 115 skills in this directory. The repository was last updated on October 6, 2026.
Source: magnus919/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.