Ffmpeg Best Practice
linyqh/speclip-skills
Lean FFmpeg playbook for reliable video compression, WeChat-compatible MP4 export, clip stitching, audio mixing, subtitle handling, and quick fallback decisions.
Assemble an iMessage notification-cascade video ad (≈14s, 9:16) from a plate of a phone lying face-up (setting chosen by the user) + 3–5 messages — authentic Apple Messages banners composited in PIL…
Install Render Imessage Cascade
$ npx skills add gooseworks-ai/goose-skills --skill render-imessage-cascade -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills render-imessage-cascade --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/render-imessage-cascade .claude/skills/render-imessage-cascade && 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 "render-imessage-cascade" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-imessage-cascade into .claude/skills/render-imessage-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-imessage-cascade", 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/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-imessage-cascadeType 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 gooseworks-ai/goose-skills --skill render-imessage-cascade -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills render-imessage-cascade --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/capabilities/render-imessage-cascade .agents/skills/render-imessage-cascade && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "render-imessage-cascade" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-imessage-cascade into .agents/skills/render-imessage-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-imessage-cascade", 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 gooseworks-ai/goose-skills --skill render-imessage-cascade -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills render-imessage-cascade --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/capabilities/render-imessage-cascade .cursor/skills/render-imessage-cascade && 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 "render-imessage-cascade" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-imessage-cascade into .cursor/skills/render-imessage-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-imessage-cascade", 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/gooseworks-ai/goose-skills.git --path skills/ads/capabilities/render-imessage-cascade--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 gooseworks-ai/goose-skills --skill render-imessage-cascade -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills render-imessage-cascade --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/capabilities/render-imessage-cascade .gemini/skills/render-imessage-cascade && 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 "render-imessage-cascade" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-imessage-cascade into .gemini/skills/render-imessage-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-imessage-cascade", 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 gooseworks-ai/goose-skills render-imessage-cascadeInstalls 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 gooseworks-ai/goose-skills --skill render-imessage-cascade -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/capabilities/render-imessage-cascade .github/skills/render-imessage-cascade && 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 "render-imessage-cascade" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-imessage-cascade into .github/skills/render-imessage-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-imessage-cascade", 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 gooseworks-ai/goose-skills --skill render-imessage-cascade -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills render-imessage-cascade --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/capabilities/render-imessage-cascade .opencode/skills/render-imessage-cascade && 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 "render-imessage-cascade" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-imessage-cascade into .opencode/skills/render-imessage-cascade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "render-imessage-cascade", 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.
Facts
- Skill name
render-imessage-cascade- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 797 words
- Files
- 7 (incl. scripts)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Assemble an iMessage notification-cascade video ad (≈14s, 9:16) from a plate of a phone lying face-up (setting chosen by the user) + 3–5 messages — authentic Apple Messages banners composited in PIL…
- The imessage-notification-cascade format
- SKILL.md covers Choices, Scripts (free), Geometry contract… and Craft rules (faithful to the…, plus 2 more sections
- Runs Python scripts from its folder
- Tasks that involve Messaging and chat bots
What it does
Render Imessage Cascade is an agent skill from gooseworks-ai/goose-skills. Assemble an iMessage notification-cascade video ad (≈14s, 9:16) from a plate of a phone lying face-up (setting chosen by the user) + 3–5 messages — authentic Apple Messages banners composited in PIL (SF Pro text, green Messages icon, warm translucent-greige fill, soft shadow) spring in one-by-one at the BOTTOM and push the stack UP, a right-aligned Show-less/X pill rides above, the X clears the stack, then a serif end card resolves. FREE assembly (PIL + ffmpeg); the recipe supplies the per-brand plate…
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts (for example `scripts/build_assets.py`, `scripts/compose.py` and `scripts/config.example.json`).
It sits in Productivity & Automation, covering Messaging and chat bots and Video production. It works with FFmpeg. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- The imessage-notification-cascade format
- Tasks that involve Messaging and chat bots
- Tasks that involve Video production
Example prompts
- “/render-imessage-cascade”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit c650c6d. 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
Ships 4 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Render Imessage Cascade loads about 1.6k tokens when it runs. Until then it costs about 172 tokens; SKILL.md has 797 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.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 797 words, ~1,561 tokens.
Download SKILL.mdSave it as
.claude/skills/render-imessage-cascade/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- render-imessage-cascade
- description
- Assemble an iMessage notification-cascade video ad (≈14s, 9:16) from a plate of a phone lying face-up (setting chosen by the user) + 3–5 messages — authentic Apple Messages banners composited in PIL (SF Pro text, green Messages icon, warm translucent-greige fill, soft shadow) spring in one-by-one at the BOTTOM and push the stack UP, a right-aligned Show-less/X pill rides above, the X clears the stack, then a serif end card resolves. FREE assembly (PIL + ffmpeg); the recipe supplies the per-brand plate, notifications, and end-card config and gates the paid plate-clean/music calls to their own capabilities. Use for the imessage-notification-cascade format.
- status
- superseded
- superseded_by
- phone-chat@1.1.4
Superseded: the video kit now does this with the phone-chat part, version 1.1.4, in the parts folder of this repository. Every phone-chat style is a style file that draws the same screen frame by frame from the plan's scenes, with the original sounds, in the kit's browser. This atom stays, unchanged in behaviour, for skills outside the kit until they move; its scripts still run.
render-imessage-cascade
The free, deterministic renderer for the imessage-notification-cascade video ad format — the viral iOS trend where a phone lies face-up (the source: on a desk) and Apple Messages notifications STACK IN one after another. The signature mechanic is the bottom-up push: each new banner springs in at the bottom (nearest the phone) and shoves every existing one UP a row; the iOS grouped "⌄ Show less / ✕" pill rides above the stack; the ✕ clears the stack; then a serif end card resolves.
This is a DETERMINISTIC composite — no generative video of the UI. Authentic
iMessage banners are drawn in PIL and animated in FFmpeg over a Ken-Burns plate, so
the notification text + wordmark stay pixel-crisp (a video model would smear type).
The template recipe supplies the per-brand plate, notifications, and end_card
config and gates the only paid steps — cleaning the plate (→ create-image-fal) and
the music bed/pop (→ create-music-elevenlabs) — to their own capabilities. This
capability itself makes no paid calls.
Choices
The creative calls are the user's, asked by the format recipe before any paid step; this renderer draws whatever the config holds.
- setting — where the phone lies (the plate). The demo used a desk in a dim, moody home office.
- message_story — what the messages tell (inbound leads, a friend's texts, order alerts, a
group chat, a problem solved) →
notifications[]. The demo used inbound leads. - audio — pops + swoosh only, or a bed (lo-fi / upbeat / tense) + pops →
config.audio. With nobed,compose.pyplays the pops + swoosh over silence;--no-audiois fully silent. The demo used a soft music bed.
Scripts (free)
scripts/build_assets.py— draws the assets fromconfig:nb-1..N.png(authentic banners — green Messages icon, warm translucent-greige fill, soft box-shadow, title/body/NOW/handle),pill.png(right-aligned "⌄ Show less / ✕"),endcard.png(serif CTA + wordmark lockup + url). Fonts are load-bearing: SF Pro (SFNS.ttf) viaset_variation_by_namefor the banner title/body/NOW/handle (Arial fallback), Times/serif for the end-card CTA. Do NOT swap in Helvetica/Arial as the primary — the banners must read as the real iOS system font.scripts/compose.py— Ken-Burns push-in on the plate → each banner springs in at the BOTTOM while later arrivals push the stack UP (FFmpeg overlayyexpressions) → pill rides above → ✕-clear swipes the stack up + fades → serif end card fades in → optional audio (optional bed + pop per arrival + a free FFmpeg swoosh on the clear) → encode h264 + aac.scripts/config.example.json— the shape of the brandconfigthe recipe binds.
Geometry contract (load-bearing — build_assets.py and compose.py MUST share it)
W=1080 H=1920, SIDE=135 → banner width BODY_W=810, BANNER_H=176, PAD=60,
row pitch H=214, bottom anchor YB=1200. Icon ~100px at a ~24px left inset; body
text starts ~150px from the banner's left edge. Change one, change both.
Show full SKILL.md (303 more words)Show less
Craft rules (faithful to the source molecule)
- Keep the REAL iMessage UI: green Apple Messages icon, warm TRANSLUCENT greige banner (NOT white, no white bloom), soft dark box-shadow. Do NOT rebrand the banner to the brand's colors — the brand lives ONLY on the handle (bottom-right) + the end card.
- SF Pro for all banner text (title Semibold ~38, body Regular ~36, NOW/handle ~25). Never AI-render text.
- 3–5 notifications (more crowds the top / clips the pill); newest enters at the BOTTOM, so banner 1 is the oldest and ends up on TOP.
- ✕-clear then end card (a real hand-swipe needs a paid i2v — out of scope here).
Requires
watch (QC the final master). The recipe gates create-image-fal (plate clean) and
create-music-elevenlabs (bed/pop) — both paid, proxy-routed, billed to the Ads agent.
Wrapped notifications and software endings
Bodies are measured and wrap to two lines. Oversized words, excessive lines, titles/handles that do not fit and stacks outside the safe area fail with a correction request. Shorten copy or reduce the notification count; never silently truncate or shrink the type. Asset building writes shared geometry and a config signature. Compose requires that manifest and rejects changed inputs until assets are rebuilt. Single-line configs retain their established dimensions and timing.
An optional resolution object supplies title, body and handle after the stack clears, plus an optional arrival time, hold duration and supplied sound file. Omit the old explicit end-card/duration overrides when using derived resolution timing. It holds at least 1.5 seconds before the ending. Missing supplied audio fails rather than silently disappearing.
For a software ending, set the end-card layout to b2b and supply a verified quote, attribution, optional CTA, a font file and one or two logo files. Logos retain their aspect ratio and transparency. Missing fonts/assets and excessive copy fail. Neutral layout samples are not customer endorsements.
© gooseworks-ai, 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 6 other files (scripts) in skills/ads/capabilities/render-imessage-cascade of gooseworks-ai/goose-skills.
- SKILL.md
- scripts/build_assets.py
- scripts/compose.py
- scripts/config.example.json
- scripts/layout.py
- skill.meta.json
- tests/smoke-test.md
Open the folder on GitHubat commit c650c6d
Compare with similar skills
Render Imessage Cascade 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 |
|---|---|---|---|---|---|---|
| Render Imessage Cascade this skillgooseworks-ai/goose-skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Ffmpeg Best Practicelinyqh/speclip-skills | 110 | — | ~2.3k | Automated safety check: Pass | None | |
| Lark Minutesrongxinzy/RongxinAI | 154 | 2 repos | ~2.1k | Automated safety check: Pass | AGPL-3.0 | |
| Wechat Video Downloaderredfox-data/redfox-community | 427 | — | ~227 | Automated safety check: Pass | None | |
| Lark Minutesappleweiping/WEIPING_WIKI | 119 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Video To Gifcognyai/claude-code-marketing-skills | 104 | — | ~2k | Automated safety check: Notes | None |
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Related
Works with
Questions about Render Imessage Cascade
What does Render Imessage Cascade do?
Assemble an iMessage notification-cascade video ad (≈14s, 9:16) from a plate of a phone lying face-up (setting chosen by the user) + 3–5 messages — authentic Apple Messages banners composited in PIL…. Render Imessage Cascade is an agent skill from gooseworks-ai/goose-skills. Assemble an iMessage notification-cascade video ad (≈14s, 9:16) from a plate of a phone lying face-up (setting chosen by the user) + 3–5 messages — authentic Apple Messages banners composited in PIL (SF Pro text, green Messages icon, warm translucent-greige fill, soft shadow) spring in one-by-one at the BOTTOM and push the stack UP, a right-aligned Show-less/X pill rides above, the X clears the stack, then a serif end card resolves.
When should I use Render Imessage Cascade?
Render Imessage Cascade fits situations like: the imessage-notification-cascade format; tasks that involve Messaging and chat bots; tasks that involve Video production.
How do I install Render Imessage Cascade in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill render-imessage-cascade -a claude-code`. Or copy the skill folder (skills/ads/capabilities/render-imessage-cascade in gooseworks-ai/goose-skills) into .claude/skills/render-imessage-cascade in your project. Claude Code loads it when a task matches its description.
How do I install Render Imessage Cascade in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill render-imessage-cascade -a codex`. Or copy the skill folder (skills/ads/capabilities/render-imessage-cascade in gooseworks-ai/goose-skills) into .agents/skills/render-imessage-cascade in your project. Codex loads it when a task matches its description.
Can I use Render Imessage Cascade 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 gooseworks-ai/goose-skills --skill render-imessage-cascade -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/render-imessage-cascade, .gemini/skills/render-imessage-cascade, .github/skills/render-imessage-cascade and .opencode/skills/render-imessage-cascade in your project.
What does Render Imessage Cascade need to run?
Going by SKILL.md and its folder, Render Imessage Cascade needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Render Imessage Cascade access the network?
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.
Is Render Imessage Cascade 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Render Imessage Cascade use?
Render Imessage Cascade is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Render Imessage Cascade use?
About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Render Imessage Cascade?
Skills that share tags, products or a category with Render Imessage Cascade: Ffmpeg Best Practice (linyqh/speclip-skills, 110 stars), Lark Minutes (rongxinzy/RongxinAI, 154 stars), Wechat Video Downloader (redfox-data/redfox-community, 427 stars) and Lark Minutes (appleweiping/WEIPING_WIKI, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Render Imessage Cascade?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.