Canghe Comic
freestylefly/canghe-skills
Knowledge comic creator supporting multiple art styles and tones.
Agent skill
by hashgraph-online in hashgraph-online/awesome-codex-plugins
Keep a recurring character recognizable across Magic Hour images, storyboards, and video shots.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill magic-hour-character-consistency -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins magic-hour-character-consistency --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/magichourhq/skills/skills/magic-hour-character-consistency .claude/skills/magic-hour-character-consistency && 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 "magic-hour-character-consistency" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/magichourhq/skills/skills/magic-hour-character-consistency into .claude/skills/magic-hour-character-consistency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-character-consistency", 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/magichourhq/skills/skills/magic-hour-character-consistencyType 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 hashgraph-online/awesome-codex-plugins --skill magic-hour-character-consistency -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins magic-hour-character-consistency --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/magichourhq/skills/skills/magic-hour-character-consistency .agents/skills/magic-hour-character-consistency && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "magic-hour-character-consistency" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/magichourhq/skills/skills/magic-hour-character-consistency into .agents/skills/magic-hour-character-consistency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-character-consistency", 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 hashgraph-online/awesome-codex-plugins --skill magic-hour-character-consistency -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins magic-hour-character-consistency --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/magichourhq/skills/skills/magic-hour-character-consistency .cursor/skills/magic-hour-character-consistency && 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 "magic-hour-character-consistency" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/magichourhq/skills/skills/magic-hour-character-consistency into .cursor/skills/magic-hour-character-consistency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-character-consistency", 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/hashgraph-online/awesome-codex-plugins.git --path plugins/magichourhq/skills/skills/magic-hour-character-consistency--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 hashgraph-online/awesome-codex-plugins --skill magic-hour-character-consistency -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins magic-hour-character-consistency --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/magichourhq/skills/skills/magic-hour-character-consistency .gemini/skills/magic-hour-character-consistency && 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 "magic-hour-character-consistency" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/magichourhq/skills/skills/magic-hour-character-consistency into .gemini/skills/magic-hour-character-consistency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-character-consistency", 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 hashgraph-online/awesome-codex-plugins magic-hour-character-consistencyInstalls 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 hashgraph-online/awesome-codex-plugins --skill magic-hour-character-consistency -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/magichourhq/skills/skills/magic-hour-character-consistency .github/skills/magic-hour-character-consistency && 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 "magic-hour-character-consistency" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/magichourhq/skills/skills/magic-hour-character-consistency into .github/skills/magic-hour-character-consistency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-character-consistency", 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 hashgraph-online/awesome-codex-plugins --skill magic-hour-character-consistency -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins magic-hour-character-consistency --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/magichourhq/skills/skills/magic-hour-character-consistency .opencode/skills/magic-hour-character-consistency && 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 "magic-hour-character-consistency" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/magichourhq/skills/skills/magic-hour-character-consistency into .opencode/skills/magic-hour-character-consistency/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "magic-hour-character-consistency", 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.
magic-hour-character-consistencyKeep a recurring character recognizable across Magic Hour images, storyboards, and video shots.
Magic Hour Character Consistency is an agent skill from hashgraph-online/awesome-codex-plugins. Keep a recurring character recognizable across Magic Hour images, storyboards, and video shots. Use for a mascot, fictional character, or authorized person appearing in multiple scenes; not a single portrait or face swap.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml` and `references/series.md`).
It sits in Media & Creative, covering Comics and storyboards. 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.
Read from SKILL.md and the folder at commit 3e1456a. 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.
Hosts in commands or code, which the agent is likely to contact:
mcp.magichour.aiAlso links to:
github.comdocs.magichour.aiFrom 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.
Magic Hour Character Consistency loads about 1.3k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 702 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 hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its MIT licence (© hashgraph-online). 702 words, ~1,347 tokens.
.claude/skills/magic-hour-character-consistency/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Make the same character survive changes of scene, pose, and camera. A repeated name or seed does not establish visual identity.
Reuse the existing character and series context. Choose staging and technical settings yourself when delegated; do not make the user fill out a character template or repeatedly approve in-budget work. Respect requested review points and show the accepted scenes first. For a cast, new angle or recurring episode, read series continuity.
Read the existing character sheet or approved image before asking for another. Separate fixed traits (face shape, hair silhouette, build, distinctive marks, rendering style) from scene variables (pose, expression, setting, lighting). Clothing is fixed only when the brief requires continuity. Record visible facts; do not infer hidden details or a real person's identity.
If there is no reference, create one useful view with ai_image_generator_create_image. Prefer a clear face and readable silhouette at the scale the story needs. An elaborate turnaround is unnecessary for two similar shots; a back view or unusual angle may need its own reviewed anchor. Keep only individually accepted views—an inconsistent contact sheet is not a better reference.
For each scene, use ai_image_editor_create_image with the approved identity image in assets.image_file_paths. If using additional pose/style images, describe each reference's role and check the chosen model's input limit. Do not merge a style donor's face or clothing into the character. Never claim reference ordering or weighting controls that the live schema does not expose.
Start with the scene change and a request to retain the reference character. State critical identity details when the brief needs them, but do not automatically copy the entire character sheet into every prompt. A detailed prompt does not rule out duplicates or omissions. In the Nori comparison, the shorter prompt preserved details better in one scene; added identity instructions helped another. Choose by the output, not prompt length.
Place this robot in a sunlit greenhouse, watering a small potted seedling. Keep the same character and watercolor-and-ink illustration style. Full body, three-quarter view. No text or extra characters.
Adapt that example to the actual reference and requested scene; do not add the robot to an unrelated request. Derive each new scene from an approved anchor, not from the last unreviewed scene. Compare the first new scene before spending on the rest.
For requested animation, review each shot's still first, then pass that exact image to image_to_video_create_video. Prompt for one coherent action and restrained camera motion. If a required face turns away or becomes small, inspect that interval particularly carefully. Match continuity at cuts: screen direction, eyeline, scale, wardrobe, palette and time of day. Do not promise identical pixels across generations or a seamless transition between independently generated shots.
Use the connected creation MCP at https://mcp.magichour.ai/; setup. Otherwise consult the live API schema: /v1/ai-image-generator, /v1/ai-image-editor, /v1/image-to-video. Choose supported parameters and count anchor creation, scene edits and animation against the existing budget. Never buy credits or expand a batch automatically.
Upload local files with video_assets_generate_presigned_url, PUT raw bytes to its upload_url without the API bearer token, then pass the returned file_path. Submit once, retain each ID and use wait_for_image_project or wait_for_video_project. Resume the same job after a polling timeout; do not repeat an ambiguous creation call. Preserve signed download URLs exactly and save durable outputs.
Compare all accepted scenes side by side with the anchor, not just each other. Check face/eye shape, proportions, distinctive marks, clothing continuity, hands, duplicate limbs and style. Count repeated details such as scarf ends and antennae; a recognizable character can still gain or lose them. Mark required details hidden by a prop or pose as unverified. Inspect the full videos for momentary identity changes. Reject only the failed scene and return to the anchor; do not redesign accepted scenes to match an error.
Deliver individual shots in order plus the accepted anchor and a short reusable identity note. Record changed traits and rejected outputs explicitly. Keep project IDs and local files so the next episode can reuse approved work without reconstructing it from chat. The Nori case publishes five authenticated MCP outputs and mixed prompt-comparison results; broader character coverage and animation quality remain unverified.
© 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
SKILL.md and 3 other files (references) in plugins/magichourhq/skills/skills/magic-hour-character-consistency of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 3e1456a
Magic Hour Character Consistency 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 |
|---|---|---|---|---|---|---|
| Magic Hour Character Consistency this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Canghe Comicfreestylefly/canghe-skills | 461 | 8 repos | ~3.2k | Automated safety check: Pass | None | |
| Tutti UI Systemtutti-os/tutti | 3.8k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| 3D Animation Short Generatortl2012tl/comfyUI-llama-TE | 241 | 4 repos | ~3.7k | Automated safety check: Pass | None | |
| Text to PNG Card Casterlijigang/ljg-skills | 7.5k | — | ~1.9k | Automated safety check: Pass | MIT | |
| H3 Cinematic Directorjtydhr88/ComfyTV | 1.1k | — | ~2.7k | Automated safety check: Pass | MIT |
freestylefly/canghe-skills
Knowledge comic creator supporting multiple art styles and tones.
tutti-os/tutti
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tl2012tl/comfyUI-llama-TE
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lijigang/ljg-skills
Turns text, URLs or local files into tall PNG cards through HTML typography, with four modes: long reading card, full-text layout, comic and whiteboard.
jtydhr88/ComfyTV
Convert approved scripts, shot briefs, storyboards, keyframes, character sheets, scene assets, prop sheets, and sound briefs into director-level storyboards and production-ready MiniMax H3 prompts.
kangarooking/kangarooking-skills
Create a scroll-controlled cinematic product website with rich motion (动效网站) from product materials, reference pages or videos, and brand assets.
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.
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hashgraph-online/awesome-codex-plugins
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hashgraph-online/awesome-codex-plugins
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hashgraph-online/awesome-codex-plugins
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Categories
Keep a recurring character recognizable across Magic Hour images, storyboards, and video shots. Magic Hour Character Consistency is an agent skill from hashgraph-online/awesome-codex-plugins. Keep a recurring character recognizable across Magic Hour images, storyboards, and video shots.
Magic Hour Character Consistency fits situations like: fictional character; authorized person appearing in multiple scenes; not a single portrait.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill magic-hour-character-consistency -a claude-code`. Or copy the skill folder (plugins/magichourhq/skills/skills/magic-hour-character-consistency in hashgraph-online/awesome-codex-plugins) into .claude/skills/magic-hour-character-consistency in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill magic-hour-character-consistency -a codex`. Or copy the skill folder (plugins/magichourhq/skills/skills/magic-hour-character-consistency in hashgraph-online/awesome-codex-plugins) into .agents/skills/magic-hour-character-consistency 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 hashgraph-online/awesome-codex-plugins --skill magic-hour-character-consistency -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-character-consistency, .gemini/skills/magic-hour-character-consistency, .github/skills/magic-hour-character-consistency and .opencode/skills/magic-hour-character-consistency in your project.
SKILL.md names no scripts, command-line tools or credentials: Magic Hour Character Consistency is instructions for the agent only.
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.
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.
Magic Hour Character Consistency is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.4k 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 619 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Magic Hour Character Consistency: Canghe Comic (freestylefly/canghe-skills, 461 stars), Tutti UI System (tutti-os/tutti, 3.8k stars), 3D Animation Short Generator (tl2012tl/comfyUI-llama-TE, 241 stars) and Text to PNG Card Caster (lijigang/ljg-skills, 7.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.