Agent skill

Magic Hour Video Editing

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Edit or repurpose existing footage with Magic Hour, choosing between generative visual edits, subtitles, and precise local trim, crop or composition.

MITAuto-check passedMedia & Creative

Install Magic Hour Video Editing

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill magic-hour-video-editing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins magic-hour-video-editing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/magichourhq/skills/skills/magic-hour-video-editing .claude/skills/magic-hour-video-editing && rm -rf skills-src

Use ~/.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/

Facts

Skill name
magic-hour-video-editing
GitHub stars
1.3k
Token cost
~1.7k tokens
SKILL.md length
812 words
Files
6 (incl. references)
Skills in repo
716
Repo updated
First seen
Licence
MIT

At a glance

Edit or repurpose existing footage with Magic Hour, choosing between generative visual edits, subtitles, and precise local trim, crop or composition.

  • A source video that needs changes
  • SKILL.md covers Inspect before choosing, Apply one purposeful edit, Preserve audio and caption last and Execute and hand off
  • Reaches mcp.magichour.ai
  • Social versions

What it does

Magic Hour Video Editing is an agent skill from hashgraph-online/awesome-codex-plugins. Edit or repurpose existing footage with Magic Hour, choosing between generative visual edits, subtitles, and precise local trim, crop or composition. Use for a source video that needs changes or social versions, not a new video from scratch.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/extend-upscale.md` and `references/repurpose.md`).

It sits in Media & Creative, covering Video production, Content repurposing and Transcription. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • A source video that needs changes
  • Social versions
  • Not a new video from scratch

Example prompts

  • “/magic-hour-video-editing”

What it can do on your machine

Read from SKILL.md and the folder at commit 3e1456a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • mcp.magichour.ai

    Also links to:

    • github.com
    • docs.magichour.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Magic Hour Video Editing loads about 1.7k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 812 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.7k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its MIT licence (© hashgraph-online). 812 words, ~1,670 tokens.

Download SKILL.mdSave it as .claude/skills/magic-hour-video-editing/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
magic-hour-video-editing
description
Edit or repurpose existing footage with Magic Hour, choosing between generative visual edits, subtitles, and precise local trim, crop or composition. Use for a source video that needs changes or social versions, not a new video from scratch.
license
MIT
metadata.author
magichourhq
metadata.version
1.3.0

Magic Hour video editing

Start from the requested change and inspect the existing master. Choose editing settings and a suitable layout yourself when delegated; reuse the current budget and respect requested draft approvals. Show the exported video first and keep technical records with the project. For shorter cuts, alternate placements and copy/audio revisions, read repurpose a master.

For a stylized reinterpretation, read Video-to-Video controls. For a longer ending or higher-resolution final video, read extension and upscaling, including the current web handoffs and continuity checks.

Keep the footage the user already likes. Choose the operation that changes the requested property without unnecessarily regenerating motion, identity or speech.

Inspect before choosing

Read the source's actual duration, dimensions, frame rate and audio streams. Watch the relevant interval. Record the requested change and what must survive: subject identity, actions, timing, dialogue, original sound, frame shape or a specific object. A short clip with several cuts may need separate edits; do not assume the model maintains continuity through every cut.

Requested changeOperation
Change scene appearance, materials or visual styleai_video_editor_create_video using the original footage
Apply a supported animation/art style to the sourcevideo_to_video_create_video with deliberate prompt/FPS mode
Put another face into the same performanceFace Swap with deliberate cast mapping
Replace the body/character or transfer its performanceCharacter Replace with the appropriate replace/animate mode
Add speech captionsauto_subtitle_generator_create_video after picture edits
Trim, resize, reframe, add exact copy/logo, or assembleAvailable compositor such as FFmpeg or an existing video editor
Change a visible speaker's speechLip-sync route, not a generic visual-edit prompt

Do not use a generative edit to perform a lossless requirement. It can redraw unrequested regions and does not guarantee pixel-preserved backgrounds, logos or faces. Do not claim tracking, masks or object-isolated controls unless the chosen tool exposes them.

Apply one purposeful edit

Select an interval within the current model's minimum and maximum length. Describe the visual change, then protected action and camera behavior:

Change only the room's appearance to a warm, sunlit illustration. Preserve the person's action of placing the cup on the table, the camera position, shot timing, cup count and framing. No cuts, new characters or added text.

That prompt is a requested constraint, not a guarantee. Inspect cup contact, hands, occlusion, faces and cuts in the output. If the model changes required action or identity, return to the original source and narrow the change or choose a live-supported alternative within budget. Do not chain unreviewed edited clips.

For an alternate-world remix, separate the effect from the action: change the setting to moonlit ruins while preserving the original walk, camera and timing. Keep a strong reference moment visible before the payoff. Do not add a new face or costume to a background-only request. Split distinct shots only when needed for controlled edits, and inspect the reconstructed joins and sound.

For a vertical version, check the entire motion path before cropping. If a tracked subject or important context will leave the crop, use a designed contained layout when the brief permits, or use an editor that actually supports the required tracking. Do not stretch, invent missing edge content, or assume one crop works across camera cuts.

Show full SKILL.md (287 more words)Show less

Preserve audio and caption last

Verify whether the edited output retains the desired audio; do not infer it from a successful video job. Keep the source master, choose the intended soundtrack explicitly, and align any replacement to the exact edited interval. Never use -shortest blindly when it could cut off speech. Check the first and last audible words.

Apply subtitles to the final cut so timing and coordinates refer to the delivered picture. Check the live style template/custom fields. Inspect names, numbers, language support, line breaks and platform overlays. If editable caption text is required but the API only returns a rendered video, use a suitable local caption workflow or report the missing deliverable.

Execute and hand off

Use the creation MCP at https://mcp.magichour.ai/; setup. For API use, consult the OpenAPI: /v1/ai-video-editor, /v1/auto-subtitle-generator, and GET /v1/video-projects/{id}. Respect current models, intervals, resolution, tier and the total authorized cost.

For local footage, obtain video_assets_generate_presigned_url, PUT raw bytes to upload_url without the API bearer token, then use file_path. Submit once, retain the ID and wait_for_video_project. Resume the same job after a wait timeout; do not repeat an ambiguous creation. Preserve signed URLs exactly and download durable files.

Decode the final export, verify its actual dimensions/duration/audio, and inspect full playback including transitions. Compare against the original, not just the last intermediate. Our illustrated video-edit example changes the visual style but also shifts the opening head turn. Use the original as the timing reference; a pleasing style is not proof of faithful action.

Deliver the clean master, requested derivatives, edit decisions and unresolved defects. Reuse accepted edits for future crops/copy changes; regenerate only when the visual brief changes. Caption quality and preservation of supplied source audio still require their own output validation.

© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in plugins/magichourhq/skills/skills/magic-hour-video-editing of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • LICENSE
  • agents/openai.yaml
  • references/extend-upscale.md
  • references/repurpose.md
  • references/restyle.md

Open the folder on GitHubat commit 3e1456a

Compare with similar skills

Magic Hour Video Editing 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.

Magic Hour Video Editing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Magic Hour Video Editing this skillhashgraph-online/awesome-codex-plugins1.3k—~1.7kAutomated safety check: PassMIT
Capcut Editrenezander030/capcut-cli854—~1.4kAutomated safety check: PassMIT
AutoshortsUpload-Post/skill-autoshorts151—~5.3kAutomated safety check: NotesMIT
Stage EditOrkas-AI/Orkas-VideoStudio499—~2.4kAutomated safety check: PassMIT
KinocutKyaniteLabs/kinocut198—~5.7kAutomated safety check: PassApache-2.0
Kinocut RepurposeKyaniteLabs/kinocut198—~1kAutomated safety check: PassApache-2.0

Similar skills

  • Capcut Edit

    renezander030/capcut-cli

    Edit CapCut / JianYing video projects — read and write subtitles, timing, speed, volume, templates, animations (fade/ken-burns), and cut long-form to shorts.

    854 GitHub stars~1.4k tokensUpdated yesterday
    Media & CreativeAuto-check passed
  • Autoshorts

    Upload-Post/skill-autoshorts

    Daily pipeline that picks one long video from a folder, transcribes it with Whisper, uses Gemini 3 Flash multimodal to find every viral short-form moment, cuts each candidate with FFmpeg, adds a…

    151 GitHub stars~5.3k tokensUpdated 5 mo ago
    Media & CreativeAuto-check: notes
  • Stage Edit

    Orkas-AI/Orkas-VideoStudio

    Intelligent editing of real user-supplied footage—understand it with transcript/inspected-frame/scene/silence/quality evidence, then choose deterministic timeline operations or a constrained…

    499 GitHub stars~2.4k tokensUpdated 18 days ago
    Media & CreativeAuto-check passed
  • Kinocut

    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…

    198 GitHub stars~5.7k tokensUpdated yesterday
    Media & CreativeAuto-check passed
  • Kinocut Repurpose

    KyaniteLabs/kinocut

    Use the current Kinocut tools to turn one local video path into a short platform-ready clip package with manifests, review artifacts, and human approval gates.

    198 GitHub stars~1k tokensUpdated yesterday
    Media & CreativeAuto-check passed
  • Video Clipper

    gooseworks-ai/goose-skills

    Repurposes long-form video (podcasts, interviews, talks) into short-form vertical clips for Instagram Reels, TikTok, and YouTube Shorts.

    1.2k GitHub starsUsed in 1 repo~3.1k tokens
    Media & CreativeAuto-check: notes

More from hashgraph-online/awesome-codex-plugins

All 716 skills in this repo
  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.3k GitHub stars~922 tokensUpdated today
    Auto-check passed
  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.3k GitHub stars~1k tokensUpdated today
    Auto-check passed
  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.3k GitHub stars~1.7k tokensUpdated today
    Auto-check passed
  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.3k GitHub stars~2.4k tokensUpdated today
    Auto-check passed
  • Calle

    hashgraph-online/awesome-codex-plugins

    Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.

    1.3k GitHub stars~2.9k tokensUpdated today
    Auto-check passed
  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.3k GitHub stars~618 tokensUpdated today
    Auto-check passed

Questions about Magic Hour Video Editing

What does Magic Hour Video Editing do?

Edit or repurpose existing footage with Magic Hour, choosing between generative visual edits, subtitles, and precise local trim, crop or composition. Magic Hour Video Editing is an agent skill from hashgraph-online/awesome-codex-plugins. Edit or repurpose existing footage with Magic Hour, choosing between generative visual edits, subtitles, and precise local trim, crop or composition.

When should I use Magic Hour Video Editing?

Magic Hour Video Editing fits situations like: A source video that needs changes; social versions; not a new video from scratch.

How do I install Magic Hour Video Editing in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill magic-hour-video-editing -a claude-code`. Or copy the skill folder (plugins/magichourhq/skills/skills/magic-hour-video-editing in hashgraph-online/awesome-codex-plugins) into .claude/skills/magic-hour-video-editing in your project. Claude Code loads it when a task matches its description.

How do I install Magic Hour Video Editing in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill magic-hour-video-editing -a codex`. Or copy the skill folder (plugins/magichourhq/skills/skills/magic-hour-video-editing in hashgraph-online/awesome-codex-plugins) into .agents/skills/magic-hour-video-editing in your project. Codex loads it when a task matches its description.

Can I use Magic Hour Video Editing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill magic-hour-video-editing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/magic-hour-video-editing, .gemini/skills/magic-hour-video-editing, .github/skills/magic-hour-video-editing and .opencode/skills/magic-hour-video-editing in your project.

What does Magic Hour Video Editing need to run?

SKILL.md names no scripts, command-line tools or credentials: Magic Hour Video Editing is instructions for the agent only.

Does Magic Hour Video Editing access the network?

SKILL.md names 3 domains. In commands or code: mcp.magichour.ai; the agent is likely to contact it when it follows the instructions. As links in the text: github.com and docs.magichour.ai. This is read from the text; nothing was executed.

Is Magic Hour Video Editing safe to install?

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.

What licence does Magic Hour Video Editing use?

Magic Hour Video Editing is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Magic Hour Video Editing use?

About 1.7k tokens (SKILL.md is roughly 6.7k 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 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Magic Hour Video Editing?

Skills that share tags, products or a category with Magic Hour Video Editing: Capcut Edit (renezander030/capcut-cli, 854 stars), Autoshorts (Upload-Post/skill-autoshorts, 151 stars), Stage Edit (Orkas-AI/Orkas-VideoStudio, 499 stars) and Kinocut (KyaniteLabs/kinocut, 198 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Magic Hour Video Editing?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.