anime-reaction-gif
Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses. Use for expressive character reactions or matching sticker sets.
- License 许可
- MIT
- 最近更新
- 2026-11-13
- Stars
- ★ 1.6k
- Forks
- 483
01 前言 Front Matter
- name
- anime-reaction-gif
- description
- Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses. Use for expressive character reactions or matching sticker sets.
02 资源文件 21
- 参考文档agents/openai.yaml253 B
- 资产文件assets/examples/generation-prompts.json5.7 KB
- 资产文件assets/examples/grass-sneeze-decoded-contact.png578.5 KB
- 资产文件assets/examples/grass-sneeze-mobile.png85.7 KB
- 资产文件assets/examples/grass-sneeze.gif600.8 KB
- 资产文件assets/examples/grass-sneeze.mp4120.9 KB
- 资产文件assets/examples/heart-hands-decoded-contact.png567.8 KB
- 资产文件assets/examples/heart-hands-mobile.png83.7 KB
- 资产文件assets/examples/heart-hands.gif593.0 KB
- 资产文件assets/examples/heart-hands.mp4117.2 KB
- 资产文件assets/examples/manifest.json4.3 KB
- 资产文件assets/examples/pout-stomp-decoded-contact.png575.1 KB
- 资产文件assets/examples/pout-stomp-mobile.png86.5 KB
- 资产文件assets/examples/pout-stomp.gif580.9 KB
- 资产文件assets/examples/pout-stomp.mp4121.9 KB
- 资产文件assets/examples/sources/grass-sneeze-sheet.png1.8 MB
- 资产文件assets/examples/sources/heart-hands-sheet.png1.8 MB
- 资产文件assets/examples/sources/pout-stomp-sheet.png1.7 MB
- 许可证LICENSE1.0 KB
- 参考文档references/spritesheets.md3.9 KB
- 脚本scripts/assemble_sheet.py8.6 KB
03 SKILL.md 正文
Anime Reaction GIF
Create a recognizable character reaction with distinct facial/limb poses, readable holds and a return to the starting pose. Match the user's character, style, action and palette; the bundled cat-eared chibi is an example, not a preset every request must use. These are key-pose reaction stickers, not continuous 3D skeletal animation.
Make the pose sheet
Read references/spritesheets.md for the prompt
scaffold, identity invariants and timing choices. Use the built-in image_gen
tool for original bitmap poses. Follow the installed imagegen skill when
available; it is not a dependency of this package. Built-in generation does
not require an API key. If that tool is unavailable, report the missing
capability rather than silently choosing a different paid API.
Inspect a local identity/reference image before passing it to image_gen. For a matching set, reuse the selected original character as the identity reference. Generate one sheet per reaction with exact dimensions, equal row-major cells, no gutters, stable camera/anchor and every body part inside each cell. Save the chosen generated sheet and complete prompt in the user's output directory. Six poses / 3×2 is a quick baseline; use a different grid or more real poses when the action needs them. Inspect the actual sheet before slicing it.
Assemble
Requires Python 3 and system FFmpeg/ffprobe with PNG, GIF, FFV1 and libx264. The assembler uses the standard library only; no pip install is needed. Resolve script and asset paths from this skill directory, which also works when only this folder has been installed:
python3 <skill-dir>/scripts/assemble_sheet.py <output-dir>/reaction-sheet.png \
--output <output-dir>/reaction.gif \
--columns 3 --rows 2 --cell-size 512 --size 384 --fps 12 \
--sequence 0,1,2,3,4,5,0 \
--durations .4,.25,.25,.65,.3,.4,.35 --background 0xf5caba
Choose holds/order for the reaction; omit them to play all cells with default
holds. Grid, expected cell size, output size, FPS and inset are configurable.
The script checks equal pixel cells and expected dimensions before writing;
visual review is still needed for a wrongly drawn grid. Crops, scaling,
palette creation and encoding run sequentially through FFmpeg without Python
full-frame caches. It exports a looping GIF, an opaque H.264 MP4 preview,
pose crops and decoded proof. Choose a fresh output name unless replacement
is intended; --overwrite replaces that output's artifacts.
Inspect and deliver
Play the actual exports and inspect their decoded contact sheet, first/last frames and mobile preview. Check emotion, identity, limbs, cell bleed, timing and seam. The report records frames, duration, infinite loop and source/output hashes. More output FPS cannot replace missing poses. Add real intermediate poses when smoother animation is required.
Keep artwork free of captions/branding by default; write social copy separately unless the user requests in-art text. Supply clickable GIF/MP4/proof paths and the generation prompt(s), naming built-in image_gen as the generation mode. Publishing requires authorization; prior explicit publishing instructions remain valid.
Bundled examples contain three approved reactions, their source sheets, exact prompts and metadata. They can be assembled offline; creating a new original character requires image generation.
04 同仓库更多 Skills
migrate-to-e2e
Moves an existing Playwright, Cypress, Selenium, Appium, Detox, Maestro, or TesterArmy suite to e2e one slice at a time, with the old suite running beside the new one until each ported test is proven. Keeps a MIGRATION.md progress file so any later session resumes where the last stopped. Optionally plants a defect to show both suites catch it. Use for /migrate-to-e2e, "migrate our tests to e2e", "port these Maestro flows", "move our TesterArmy tests", or when a project has an e2e config and an older suite still running.
e2e
Writes, runs, and debugs end-to-end tests for web and mobile apps with e2e, the agentic test runner, which mixes agent.act goals with exact locator assertions on a Playwright browser or an iOS or Android device. Also drives a project's running app live over the e2e MCP server to look at a screen, check a UI change, take a screenshot or record a video, and try a locator; and runs bug bashes, parallel e2e explore runs with each bug proven by a repro test. Use when a project depends on e2e or has an e2e.config.ts, when asked for end-to-end, browser, mobile, or agentic UI tests, to check a change in the running app, to QA or bug bash an app or branch, or when an e2e run fails.
create-verification-skill
Generate a project-local verify-<app> skill on top of e2e, so any coding agent can launch the app, check it is worth driving, exercise a feature the way a user does, keep evidence, and bug bash it. Writes the skill, a feature map with one explore charter per feature, and proves it once. Use for /create-verification-skill, "make a verification skill for this repo", or when a project has no scripted way to prove UI behavior.
deja-search
deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). Use before your first edit in a task, before you call a change done or ready to merge, before you recommend a tool, library, design or reviewer, before re-debugging an error that may already be solved, when they say 'didn't we fix this before', 'what did we decide about X' or 'I already have that', and before telling them something on this machine does not exist.
deja-reflect
End-of-session reflection and memory curation with deja-vu. Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.
revid
Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.