Creator · gooseworks-ai
Last updated · Sep 4, 2026
Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL
Creator · gooseworks-ai
Last updated · Sep 4, 2026
Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL
Creator · gooseworks-ai
Last updated · Sep 4, 2026
Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL
Creator · gooseworks-ai
Last updated · Sep 4, 2026
Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL
Sandbox only
Install targets
Codex install prompt
Install the "render-absurdist-explainer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-absurdist-explainer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL end card (never AI) with a slow Ken-Burns, mix VO (loudnorm I=-14) under music (loudnorm I=-26, volume 0.62, amix normalize=0), and burn libass captions last. FREE deterministic assembly (bash-free, Python + ffmpeg + PIL); the recipe supplies the clips, VO, music, product photo, palette, and caption table and gates the paid keyframe/clip/VO/music calls to their own capabilities. Use for the absurdist-explainer format. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gooseworks-ai-render-absurdist-explainer","task":"Install render-absurdist-explainer","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Maintenance
fresh
4d since push
Risk
Safe to try
No critical issues found. The skill relies on external tools (ffmpeg, PIL) and system fonts, but these are standard and documented.
GitHub quality
1.2K
78/100 Quality · 79/100 Trust
Coverage tags
Review notes
No critical issues found. The skill relies on external tools (ffmpeg, PIL) and system fonts, but these are standard and documented. · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.2K GitHub stars
Repo activity
1.2K stars, 206 forks
Maintenance
4d since push
License
MIT
Install
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainerDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gooseworks-ai-render-absurdist-explainer/install
Agent should check
Copy prompt
Task: Use render-absurdist-explainer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gooseworks-ai-render-absurdist-explainer/install
Install command: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gooseworks-ai-render-absurdist-explainer/install
LLM text format
/api/skills/gooseworks-ai-render-absurdist-explainer/install?format=text
Find alternatives
/api/skills/search?q=render-absurdist-explainer&limit=3
Agent prompt
Use render-absurdist-explainer for this task. Review https://www.openagentskill.com/api/skills/gooseworks-ai-render-absurdist-explainer/install, then install with: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainerRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gooseworks-ai-render-absurdist-explainer
LLM text
/api/registry/manifest/gooseworks-ai-render-absurdist-explainer?format=text
Install alias
/api/registry/install/gooseworks-ai-render-absurdist-explainer
Recommend
/api/registry/recommend?task=Use%20render-absurdist-explainer%20in%20an%20agent%20workflow&limit=3
Agent fit
Design and creative
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Design and creative
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.2K GitHub stars
Stars/forks activity
INFO1.2K stars, 206 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Plan, generate, and review video
I need my agent to turn a topic or product into a short video, generate B-roll, write video prompts, and prepare a publish-ready cut.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Brief to publish-ready creative
A practical workflow for agents that shape a video brief, create strong multimodal prompts, generate supporting B-roll, and prepare a reviewable short-form or explainer video.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: render-absurdist-explainer description: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL end card (never AI) with a slow Ken-Burns, mix VO (loudnorm I=-14) under music (loudnorm I=-26, volume 0.62, amix normalize=0), and burn libass captions last. FREE deterministic assembly (bash-free, Python + ffmpeg + PIL); the recipe supplies the clips, VO, music, product photo, palette, and caption table and gates the paid keyframe/clip/VO/music calls to their own capabilities. Use for the absurdist-explainer format. status: active ---
# render-absurdist-explainer
The free, deterministic renderer for the **absurdist-explainer** video ad format — the bright Pixar/Disney 3D spot where a personified villain (the problem) narrates the whole ad in one voice, teaches the product's ownable mechanism through cartoon biology, lists the damage, then watches its own scheme collapse when the product arrives. This capability is the **FREE assembly stage only**. All generative work (nano-banana keyframes, Seedance i2v clips, ElevenLabs VO + music) happens upstream in the recipe and is handed to this capability as files.
It ports the validated compose recipe from two reference runs (HUM "Big Chill" cortisol absurdism and Soteri "Eczema, the pH villain"). The recipe is deterministic — iterate the cut for free, re-roll only the offending paid beat.
## What it does (the deterministic recipe)
1. **Per-scene retime.** Each i2v clip is retimed to its **measured** VO window (`scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,fps=30,setsar=1`, then `tpad=stop_mode=clone` if the VO is longer than the clip, else `-t` trim). 2. **Identical re-encode.** Every segment is re-encoded `libx264 -crf 18 -pix_fmt yuv420p -r 30` even if already correct — a framerate mismatch makes the concat demuxer silently drop frames. 3. **Concat** all scene segments + the end card via the concat demuxer (`-c copy`). 4. **Real-product end card.** `build_endcard.py` composites the REAL retail product photo over the brand palette (flat, or sampled from the photo's own edge pixel) with a typeset wordmark + claim rows + CTA pill in PIL `ImageDraw.text` — **never an AI cartoon bottle, never AI-rendered brand text**. `compose.py` Ken-Burnses it 1.00 → 1.04 over the dwell. 5. **Mix.** VO bus `loudnorm I=-14 TP=-1.5`, music bus `loudnorm I=-26 TP=-3` then `volume=0.62`, `amix inputs=2 duration=first normalize=0` → master lands at -14.5..-13.5 LUFS with the music ducked under the VO. 6. **Captions last.** `make_captions.py` emits a libass `.ass` (one cue per scene, Arial 64 white / 6px outline / MarginV=330, `start = scene_start + 0.08s`, suppressed on the end card). `compose.py` burns it as the final filter so captions sit on top.
## Scripts (free — Python + ffmpeg + PIL, no bash, no paid calls)
- `scripts/build_endcard.py` — PIL composite of the real product photo + typeset brand layer (wordmark / product line / claim rows / accent CTA pill). Reads the same `config.json`. Run this FIRST so `end_card.image` exists before `compose.py`. - `scripts/make_captions.py` — emits the per-scene libass `.ass` from the SAME scene table compose reads, so caption windows stay in lockstep with the cut. Run before `compose.py` (or point `config.captions_ass` at nothing to skip captions). - `scripts/compose.py` — the assembler: per-scene retime + identical 30fps re-encode → concat → Ken-Burns end card → VO/music loudnorm mix → burn captions → master mp4. - `scripts/config.example.json` — the shape of the `config` the recipe binds (the brand-neutralised Soteri values as a worked reference).
## Inputs (all via `--config` + a runtime work dir — NO hardcoded paths)
`config.json` carries: `scenes[]` (each `{id, clip, target_sec, vo, caption, atempo?}` where `target_sec` is the **measured** VO window), `end_card{product_image, image, dwell_sec, zoom_to, wordmark, product_line, claims[], cta, background?}`, `brand_palette {primary, primary_lite, accent, grey}`, `music_bed`, `music_volume` (default 0.62), `atempo` (compose-stage VO speed-up, default off; the reference runs used 1.3 when the VO read slow), `captions_ass`, and `caption_style`. See `config.example.json`.
## Craft rules (load-bearing — faithful to the source molecule)
- **The end card is the REAL product photo, composited — never an AI cartoon bottle.** Both reference runs shipped an AI bottle first and had to re-shoot with the real photo. - **No AI-rendered brand text anywhere.** Wordmark, claims, CTA, motif — all PIL `ImageDraw.text`. AI draws the world + characters only. - **Re-encode every segment to 30fps before concat**, even if already correct, or the concat demuxer silently drops frames. - **`target_sec` is the MEASURED VO duration** (ffprobe each VO mp3), never a planned word count — VO drives the per-scene timing. - **Mix constants are validated** — VO -14 LUFS, music -26 LUFS then `volume≈0.62` (Soteri) to `0.70` (Big Chill), `amix normalize=0`. Master target -14.5..-13.5 LUFS, true-peak ≤ -1.5 dBFS. - **Caption `start = scene_start + 0.08s`**, suppressed on the end card (its typeset copy carries the message — two text layers at one spot are both unreadable).
## Requires
`watch` (QC the final master — confirm the villain silhouette holds, the single voice carries the whole spot, the motif lands ≥3×, no AI brand text leaked into a cartoon background, the end card is the real product, and duration is within ±0.1s of the summed windows). The recipe gates the paid `create-image-fal` (keyframes), `create-video-fal` (Seedance i2v), `create-vo-elevenlabs`, and `create-music-elevenlabs` calls to their own capabilities — this capability itself makes NO paid calls.
Source provenance
Decision snapshot
1,195 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for render-absurdist-explainer, ready for a manual X post.
render-absurdist-explainer: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + the... 1.2K stars https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=x
Listing + install path for render-absurdist-explainer: https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=x Install: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to gooseworks-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer/audit)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)gooseworks-ai
@gooseworks-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "render-absurdist-explainer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-absurdist-explainer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL end card (never AI) with a slow Ken-Burns, mix VO (loudnorm I=-14) under music (loudnorm I=-26, volume 0.62, amix normalize=0), and burn libass captions last. FREE deterministic assembly (bash-free, Python + ffmpeg + PIL); the recipe supplies the clips, VO, music, product photo, palette, and caption table and gates the paid keyframe/clip/VO/music calls to their own capabilities. Use for the absurdist-explainer format. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gooseworks-ai-render-absurdist-explainer","task":"Install render-absurdist-explainer","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Maintenance
fresh
4d since push
Risk
Safe to try
No critical issues found. The skill relies on external tools (ffmpeg, PIL) and system fonts, but these are standard and documented.
GitHub quality
1.2K
78/100 Quality · 79/100 Trust
Coverage tags
Review notes
No critical issues found. The skill relies on external tools (ffmpeg, PIL) and system fonts, but these are standard and documented. · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.2K GitHub stars
Repo activity
1.2K stars, 206 forks
Maintenance
4d since push
License
MIT
Install
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainerDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gooseworks-ai-render-absurdist-explainer/install
Agent should check
Copy prompt
Task: Use render-absurdist-explainer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gooseworks-ai-render-absurdist-explainer/install
Install command: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gooseworks-ai-render-absurdist-explainer/install
LLM text format
/api/skills/gooseworks-ai-render-absurdist-explainer/install?format=text
Find alternatives
/api/skills/search?q=render-absurdist-explainer&limit=3
Agent prompt
Use render-absurdist-explainer for this task. Review https://www.openagentskill.com/api/skills/gooseworks-ai-render-absurdist-explainer/install, then install with: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainerRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gooseworks-ai-render-absurdist-explainer
LLM text
/api/registry/manifest/gooseworks-ai-render-absurdist-explainer?format=text
Install alias
/api/registry/install/gooseworks-ai-render-absurdist-explainer
Recommend
/api/registry/recommend?task=Use%20render-absurdist-explainer%20in%20an%20agent%20workflow&limit=3
Agent fit
Design and creative
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Design and creative
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.2K GitHub stars
Stars/forks activity
INFO1.2K stars, 206 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Plan, generate, and review video
I need my agent to turn a topic or product into a short video, generate B-roll, write video prompts, and prepare a publish-ready cut.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Brief to publish-ready creative
A practical workflow for agents that shape a video brief, create strong multimodal prompts, generate supporting B-roll, and prepare a reviewable short-form or explainer video.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: render-absurdist-explainer description: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL end card (never AI) with a slow Ken-Burns, mix VO (loudnorm I=-14) under music (loudnorm I=-26, volume 0.62, amix normalize=0), and burn libass captions last. FREE deterministic assembly (bash-free, Python + ffmpeg + PIL); the recipe supplies the clips, VO, music, product photo, palette, and caption table and gates the paid keyframe/clip/VO/music calls to their own capabilities. Use for the absurdist-explainer format. status: active ---
# render-absurdist-explainer
The free, deterministic renderer for the **absurdist-explainer** video ad format — the bright Pixar/Disney 3D spot where a personified villain (the problem) narrates the whole ad in one voice, teaches the product's ownable mechanism through cartoon biology, lists the damage, then watches its own scheme collapse when the product arrives. This capability is the **FREE assembly stage only**. All generative work (nano-banana keyframes, Seedance i2v clips, ElevenLabs VO + music) happens upstream in the recipe and is handed to this capability as files.
It ports the validated compose recipe from two reference runs (HUM "Big Chill" cortisol absurdism and Soteri "Eczema, the pH villain"). The recipe is deterministic — iterate the cut for free, re-roll only the offending paid beat.
## What it does (the deterministic recipe)
1. **Per-scene retime.** Each i2v clip is retimed to its **measured** VO window (`scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,fps=30,setsar=1`, then `tpad=stop_mode=clone` if the VO is longer than the clip, else `-t` trim). 2. **Identical re-encode.** Every segment is re-encoded `libx264 -crf 18 -pix_fmt yuv420p -r 30` even if already correct — a framerate mismatch makes the concat demuxer silently drop frames. 3. **Concat** all scene segments + the end card via the concat demuxer (`-c copy`). 4. **Real-product end card.** `build_endcard.py` composites the REAL retail product photo over the brand palette (flat, or sampled from the photo's own edge pixel) with a typeset wordmark + claim rows + CTA pill in PIL `ImageDraw.text` — **never an AI cartoon bottle, never AI-rendered brand text**. `compose.py` Ken-Burnses it 1.00 → 1.04 over the dwell. 5. **Mix.** VO bus `loudnorm I=-14 TP=-1.5`, music bus `loudnorm I=-26 TP=-3` then `volume=0.62`, `amix inputs=2 duration=first normalize=0` → master lands at -14.5..-13.5 LUFS with the music ducked under the VO. 6. **Captions last.** `make_captions.py` emits a libass `.ass` (one cue per scene, Arial 64 white / 6px outline / MarginV=330, `start = scene_start + 0.08s`, suppressed on the end card). `compose.py` burns it as the final filter so captions sit on top.
## Scripts (free — Python + ffmpeg + PIL, no bash, no paid calls)
- `scripts/build_endcard.py` — PIL composite of the real product photo + typeset brand layer (wordmark / product line / claim rows / accent CTA pill). Reads the same `config.json`. Run this FIRST so `end_card.image` exists before `compose.py`. - `scripts/make_captions.py` — emits the per-scene libass `.ass` from the SAME scene table compose reads, so caption windows stay in lockstep with the cut. Run before `compose.py` (or point `config.captions_ass` at nothing to skip captions). - `scripts/compose.py` — the assembler: per-scene retime + identical 30fps re-encode → concat → Ken-Burns end card → VO/music loudnorm mix → burn captions → master mp4. - `scripts/config.example.json` — the shape of the `config` the recipe binds (the brand-neutralised Soteri values as a worked reference).
## Inputs (all via `--config` + a runtime work dir — NO hardcoded paths)
`config.json` carries: `scenes[]` (each `{id, clip, target_sec, vo, caption, atempo?}` where `target_sec` is the **measured** VO window), `end_card{product_image, image, dwell_sec, zoom_to, wordmark, product_line, claims[], cta, background?}`, `brand_palette {primary, primary_lite, accent, grey}`, `music_bed`, `music_volume` (default 0.62), `atempo` (compose-stage VO speed-up, default off; the reference runs used 1.3 when the VO read slow), `captions_ass`, and `caption_style`. See `config.example.json`.
## Craft rules (load-bearing — faithful to the source molecule)
- **The end card is the REAL product photo, composited — never an AI cartoon bottle.** Both reference runs shipped an AI bottle first and had to re-shoot with the real photo. - **No AI-rendered brand text anywhere.** Wordmark, claims, CTA, motif — all PIL `ImageDraw.text`. AI draws the world + characters only. - **Re-encode every segment to 30fps before concat**, even if already correct, or the concat demuxer silently drops frames. - **`target_sec` is the MEASURED VO duration** (ffprobe each VO mp3), never a planned word count — VO drives the per-scene timing. - **Mix constants are validated** — VO -14 LUFS, music -26 LUFS then `volume≈0.62` (Soteri) to `0.70` (Big Chill), `amix normalize=0`. Master target -14.5..-13.5 LUFS, true-peak ≤ -1.5 dBFS. - **Caption `start = scene_start + 0.08s`**, suppressed on the end card (its typeset copy carries the message — two text layers at one spot are both unreadable).
## Requires
`watch` (QC the final master — confirm the villain silhouette holds, the single voice carries the whole spot, the motif lands ≥3×, no AI brand text leaked into a cartoon background, the end card is the real product, and duration is within ±0.1s of the summed windows). The recipe gates the paid `create-image-fal` (keyframes), `create-video-fal` (Seedance i2v), `create-vo-elevenlabs`, and `create-music-elevenlabs` calls to their own capabilities — this capability itself makes NO paid calls.
Source provenance
Decision snapshot
1,195 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for render-absurdist-explainer, ready for a manual X post.
render-absurdist-explainer: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + the... 1.2K stars https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=x
Listing + install path for render-absurdist-explainer: https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=x Install: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to gooseworks-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer/audit)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)gooseworks-ai
@gooseworks-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "render-absurdist-explainer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-absurdist-explainer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL end card (never AI) with a slow Ken-Burns, mix VO (loudnorm I=-14) under music (loudnorm I=-26, volume 0.62, amix normalize=0), and burn libass captions last. FREE deterministic assembly (bash-free, Python + ffmpeg + PIL); the recipe supplies the clips, VO, music, product photo, palette, and caption table and gates the paid keyframe/clip/VO/music calls to their own capabilities. Use for the absurdist-explainer format. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gooseworks-ai-render-absurdist-explainer","task":"Install render-absurdist-explainer","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Maintenance
fresh
4d since push
Risk
Safe to try
No critical issues found. The skill relies on external tools (ffmpeg, PIL) and system fonts, but these are standard and documented.
GitHub quality
1.2K
78/100 Quality · 79/100 Trust
Coverage tags
Review notes
No critical issues found. The skill relies on external tools (ffmpeg, PIL) and system fonts, but these are standard and documented. · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.2K GitHub stars
Repo activity
1.2K stars, 206 forks
Maintenance
4d since push
License
MIT
Install
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainerDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gooseworks-ai-render-absurdist-explainer/install
Agent should check
Copy prompt
Task: Use render-absurdist-explainer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gooseworks-ai-render-absurdist-explainer/install
Install command: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gooseworks-ai-render-absurdist-explainer/install
LLM text format
/api/skills/gooseworks-ai-render-absurdist-explainer/install?format=text
Find alternatives
/api/skills/search?q=render-absurdist-explainer&limit=3
Agent prompt
Use render-absurdist-explainer for this task. Review https://www.openagentskill.com/api/skills/gooseworks-ai-render-absurdist-explainer/install, then install with: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainerRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gooseworks-ai-render-absurdist-explainer
LLM text
/api/registry/manifest/gooseworks-ai-render-absurdist-explainer?format=text
Install alias
/api/registry/install/gooseworks-ai-render-absurdist-explainer
Recommend
/api/registry/recommend?task=Use%20render-absurdist-explainer%20in%20an%20agent%20workflow&limit=3
Agent fit
Design and creative
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Design and creative
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.2K GitHub stars
Stars/forks activity
INFO1.2K stars, 206 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Plan, generate, and review video
I need my agent to turn a topic or product into a short video, generate B-roll, write video prompts, and prepare a publish-ready cut.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Brief to publish-ready creative
A practical workflow for agents that shape a video brief, create strong multimodal prompts, generate supporting B-roll, and prepare a reviewable short-form or explainer video.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: render-absurdist-explainer description: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL end card (never AI) with a slow Ken-Burns, mix VO (loudnorm I=-14) under music (loudnorm I=-26, volume 0.62, amix normalize=0), and burn libass captions last. FREE deterministic assembly (bash-free, Python + ffmpeg + PIL); the recipe supplies the clips, VO, music, product photo, palette, and caption table and gates the paid keyframe/clip/VO/music calls to their own capabilities. Use for the absurdist-explainer format. status: active ---
# render-absurdist-explainer
The free, deterministic renderer for the **absurdist-explainer** video ad format — the bright Pixar/Disney 3D spot where a personified villain (the problem) narrates the whole ad in one voice, teaches the product's ownable mechanism through cartoon biology, lists the damage, then watches its own scheme collapse when the product arrives. This capability is the **FREE assembly stage only**. All generative work (nano-banana keyframes, Seedance i2v clips, ElevenLabs VO + music) happens upstream in the recipe and is handed to this capability as files.
It ports the validated compose recipe from two reference runs (HUM "Big Chill" cortisol absurdism and Soteri "Eczema, the pH villain"). The recipe is deterministic — iterate the cut for free, re-roll only the offending paid beat.
## What it does (the deterministic recipe)
1. **Per-scene retime.** Each i2v clip is retimed to its **measured** VO window (`scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,fps=30,setsar=1`, then `tpad=stop_mode=clone` if the VO is longer than the clip, else `-t` trim). 2. **Identical re-encode.** Every segment is re-encoded `libx264 -crf 18 -pix_fmt yuv420p -r 30` even if already correct — a framerate mismatch makes the concat demuxer silently drop frames. 3. **Concat** all scene segments + the end card via the concat demuxer (`-c copy`). 4. **Real-product end card.** `build_endcard.py` composites the REAL retail product photo over the brand palette (flat, or sampled from the photo's own edge pixel) with a typeset wordmark + claim rows + CTA pill in PIL `ImageDraw.text` — **never an AI cartoon bottle, never AI-rendered brand text**. `compose.py` Ken-Burnses it 1.00 → 1.04 over the dwell. 5. **Mix.** VO bus `loudnorm I=-14 TP=-1.5`, music bus `loudnorm I=-26 TP=-3` then `volume=0.62`, `amix inputs=2 duration=first normalize=0` → master lands at -14.5..-13.5 LUFS with the music ducked under the VO. 6. **Captions last.** `make_captions.py` emits a libass `.ass` (one cue per scene, Arial 64 white / 6px outline / MarginV=330, `start = scene_start + 0.08s`, suppressed on the end card). `compose.py` burns it as the final filter so captions sit on top.
## Scripts (free — Python + ffmpeg + PIL, no bash, no paid calls)
- `scripts/build_endcard.py` — PIL composite of the real product photo + typeset brand layer (wordmark / product line / claim rows / accent CTA pill). Reads the same `config.json`. Run this FIRST so `end_card.image` exists before `compose.py`. - `scripts/make_captions.py` — emits the per-scene libass `.ass` from the SAME scene table compose reads, so caption windows stay in lockstep with the cut. Run before `compose.py` (or point `config.captions_ass` at nothing to skip captions). - `scripts/compose.py` — the assembler: per-scene retime + identical 30fps re-encode → concat → Ken-Burns end card → VO/music loudnorm mix → burn captions → master mp4. - `scripts/config.example.json` — the shape of the `config` the recipe binds (the brand-neutralised Soteri values as a worked reference).
## Inputs (all via `--config` + a runtime work dir — NO hardcoded paths)
`config.json` carries: `scenes[]` (each `{id, clip, target_sec, vo, caption, atempo?}` where `target_sec` is the **measured** VO window), `end_card{product_image, image, dwell_sec, zoom_to, wordmark, product_line, claims[], cta, background?}`, `brand_palette {primary, primary_lite, accent, grey}`, `music_bed`, `music_volume` (default 0.62), `atempo` (compose-stage VO speed-up, default off; the reference runs used 1.3 when the VO read slow), `captions_ass`, and `caption_style`. See `config.example.json`.
## Craft rules (load-bearing — faithful to the source molecule)
- **The end card is the REAL product photo, composited — never an AI cartoon bottle.** Both reference runs shipped an AI bottle first and had to re-shoot with the real photo. - **No AI-rendered brand text anywhere.** Wordmark, claims, CTA, motif — all PIL `ImageDraw.text`. AI draws the world + characters only. - **Re-encode every segment to 30fps before concat**, even if already correct, or the concat demuxer silently drops frames. - **`target_sec` is the MEASURED VO duration** (ffprobe each VO mp3), never a planned word count — VO drives the per-scene timing. - **Mix constants are validated** — VO -14 LUFS, music -26 LUFS then `volume≈0.62` (Soteri) to `0.70` (Big Chill), `amix normalize=0`. Master target -14.5..-13.5 LUFS, true-peak ≤ -1.5 dBFS. - **Caption `start = scene_start + 0.08s`**, suppressed on the end card (its typeset copy carries the message — two text layers at one spot are both unreadable).
## Requires
`watch` (QC the final master — confirm the villain silhouette holds, the single voice carries the whole spot, the motif lands ≥3×, no AI brand text leaked into a cartoon background, the end card is the real product, and duration is within ±0.1s of the summed windows). The recipe gates the paid `create-image-fal` (keyframes), `create-video-fal` (Seedance i2v), `create-vo-elevenlabs`, and `create-music-elevenlabs` calls to their own capabilities — this capability itself makes NO paid calls.
Source provenance
Decision snapshot
1,195 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for render-absurdist-explainer, ready for a manual X post.
render-absurdist-explainer: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + the... 1.2K stars https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=x
Listing + install path for render-absurdist-explainer: https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=x Install: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to gooseworks-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer/audit)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)gooseworks-ai
@gooseworks-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "render-absurdist-explainer" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/render-absurdist-explainer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL end card (never AI) with a slow Ken-Burns, mix VO (loudnorm I=-14) under music (loudnorm I=-26, volume 0.62, amix normalize=0), and burn libass captions last. FREE deterministic assembly (bash-free, Python + ffmpeg + PIL); the recipe supplies the clips, VO, music, product photo, palette, and caption table and gates the paid keyframe/clip/VO/music calls to their own capabilities. Use for the absurdist-explainer format. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"gooseworks-ai-render-absurdist-explainer","task":"Install render-absurdist-explainer","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Maintenance
fresh
4d since push
Risk
Safe to try
No critical issues found. The skill relies on external tools (ffmpeg, PIL) and system fonts, but these are standard and documented.
GitHub quality
1.2K
78/100 Quality · 79/100 Trust
Coverage tags
Review notes
No critical issues found. The skill relies on external tools (ffmpeg, PIL) and system fonts, but these are standard and documented. · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
1.2K GitHub stars
Repo activity
1.2K stars, 206 forks
Maintenance
4d since push
License
MIT
Install
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainerDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gooseworks-ai-render-absurdist-explainer/install
Agent should check
Copy prompt
Task: Use render-absurdist-explainer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20render-absurdist-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gooseworks-ai-render-absurdist-explainer/install
Install command: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gooseworks-ai-render-absurdist-explainer/install
LLM text format
/api/skills/gooseworks-ai-render-absurdist-explainer/install?format=text
Find alternatives
/api/skills/search?q=render-absurdist-explainer&limit=3
Agent prompt
Use render-absurdist-explainer for this task. Review https://www.openagentskill.com/api/skills/gooseworks-ai-render-absurdist-explainer/install, then install with: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainerRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gooseworks-ai-render-absurdist-explainer
LLM text
/api/registry/manifest/gooseworks-ai-render-absurdist-explainer?format=text
Install alias
/api/registry/install/gooseworks-ai-render-absurdist-explainer
Recommend
/api/registry/recommend?task=Use%20render-absurdist-explainer%20in%20an%20agent%20workflow&limit=3
Agent fit
Design and creative
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Design and creative
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS1.2K GitHub stars
Stars/forks activity
INFO1.2K stars, 206 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Plan, generate, and review video
I need my agent to turn a topic or product into a short video, generate B-roll, write video prompts, and prepare a publish-ready cut.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Brief to publish-ready creative
A practical workflow for agents that shape a video brief, create strong multimodal prompts, generate supporting B-roll, and prepare a reviewable short-form or explainer video.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: render-absurdist-explainer description: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + their measured VO windows — retime each clip to its VO, re-encode every segment to identical 30fps/libx264/yuv420p so the concat demuxer never drops frames, concat, build a REAL-product PIL end card (never AI) with a slow Ken-Burns, mix VO (loudnorm I=-14) under music (loudnorm I=-26, volume 0.62, amix normalize=0), and burn libass captions last. FREE deterministic assembly (bash-free, Python + ffmpeg + PIL); the recipe supplies the clips, VO, music, product photo, palette, and caption table and gates the paid keyframe/clip/VO/music calls to their own capabilities. Use for the absurdist-explainer format. status: active ---
# render-absurdist-explainer
The free, deterministic renderer for the **absurdist-explainer** video ad format — the bright Pixar/Disney 3D spot where a personified villain (the problem) narrates the whole ad in one voice, teaches the product's ownable mechanism through cartoon biology, lists the damage, then watches its own scheme collapse when the product arrives. This capability is the **FREE assembly stage only**. All generative work (nano-banana keyframes, Seedance i2v clips, ElevenLabs VO + music) happens upstream in the recipe and is handed to this capability as files.
It ports the validated compose recipe from two reference runs (HUM "Big Chill" cortisol absurdism and Soteri "Eczema, the pH villain"). The recipe is deterministic — iterate the cut for free, re-roll only the offending paid beat.
## What it does (the deterministic recipe)
1. **Per-scene retime.** Each i2v clip is retimed to its **measured** VO window (`scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,fps=30,setsar=1`, then `tpad=stop_mode=clone` if the VO is longer than the clip, else `-t` trim). 2. **Identical re-encode.** Every segment is re-encoded `libx264 -crf 18 -pix_fmt yuv420p -r 30` even if already correct — a framerate mismatch makes the concat demuxer silently drop frames. 3. **Concat** all scene segments + the end card via the concat demuxer (`-c copy`). 4. **Real-product end card.** `build_endcard.py` composites the REAL retail product photo over the brand palette (flat, or sampled from the photo's own edge pixel) with a typeset wordmark + claim rows + CTA pill in PIL `ImageDraw.text` — **never an AI cartoon bottle, never AI-rendered brand text**. `compose.py` Ken-Burnses it 1.00 → 1.04 over the dwell. 5. **Mix.** VO bus `loudnorm I=-14 TP=-1.5`, music bus `loudnorm I=-26 TP=-3` then `volume=0.62`, `amix inputs=2 duration=first normalize=0` → master lands at -14.5..-13.5 LUFS with the music ducked under the VO. 6. **Captions last.** `make_captions.py` emits a libass `.ass` (one cue per scene, Arial 64 white / 6px outline / MarginV=330, `start = scene_start + 0.08s`, suppressed on the end card). `compose.py` burns it as the final filter so captions sit on top.
## Scripts (free — Python + ffmpeg + PIL, no bash, no paid calls)
- `scripts/build_endcard.py` — PIL composite of the real product photo + typeset brand layer (wordmark / product line / claim rows / accent CTA pill). Reads the same `config.json`. Run this FIRST so `end_card.image` exists before `compose.py`. - `scripts/make_captions.py` — emits the per-scene libass `.ass` from the SAME scene table compose reads, so caption windows stay in lockstep with the cut. Run before `compose.py` (or point `config.captions_ass` at nothing to skip captions). - `scripts/compose.py` — the assembler: per-scene retime + identical 30fps re-encode → concat → Ken-Burns end card → VO/music loudnorm mix → burn captions → master mp4. - `scripts/config.example.json` — the shape of the `config` the recipe binds (the brand-neutralised Soteri values as a worked reference).
## Inputs (all via `--config` + a runtime work dir — NO hardcoded paths)
`config.json` carries: `scenes[]` (each `{id, clip, target_sec, vo, caption, atempo?}` where `target_sec` is the **measured** VO window), `end_card{product_image, image, dwell_sec, zoom_to, wordmark, product_line, claims[], cta, background?}`, `brand_palette {primary, primary_lite, accent, grey}`, `music_bed`, `music_volume` (default 0.62), `atempo` (compose-stage VO speed-up, default off; the reference runs used 1.3 when the VO read slow), `captions_ass`, and `caption_style`. See `config.example.json`.
## Craft rules (load-bearing — faithful to the source molecule)
- **The end card is the REAL product photo, composited — never an AI cartoon bottle.** Both reference runs shipped an AI bottle first and had to re-shoot with the real photo. - **No AI-rendered brand text anywhere.** Wordmark, claims, CTA, motif — all PIL `ImageDraw.text`. AI draws the world + characters only. - **Re-encode every segment to 30fps before concat**, even if already correct, or the concat demuxer silently drops frames. - **`target_sec` is the MEASURED VO duration** (ffprobe each VO mp3), never a planned word count — VO drives the per-scene timing. - **Mix constants are validated** — VO -14 LUFS, music -26 LUFS then `volume≈0.62` (Soteri) to `0.70` (Big Chill), `amix normalize=0`. Master target -14.5..-13.5 LUFS, true-peak ≤ -1.5 dBFS. - **Caption `start = scene_start + 0.08s`**, suppressed on the end card (its typeset copy carries the message — two text layers at one spot are both unreadable).
## Requires
`watch` (QC the final master — confirm the villain silhouette holds, the single voice carries the whole spot, the motif lands ≥3×, no AI brand text leaked into a cartoon background, the end card is the real product, and duration is within ±0.1s of the summed windows). The recipe gates the paid `create-image-fal` (keyframes), `create-video-fal` (Seedance i2v), `create-vo-elevenlabs`, and `create-music-elevenlabs` calls to their own capabilities — this capability itself makes NO paid calls.
Source provenance
Decision snapshot
1,195 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for render-absurdist-explainer, ready for a manual X post.
render-absurdist-explainer: Assemble an absurdist animated-explainer video ad (~38s, 9:16) from per-scene i2v clips + the... 1.2K stars https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=x
Listing + install path for render-absurdist-explainer: https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=x Install: npx skills add gooseworks-ai/goose-skills --skill render-absurdist-explainer
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to gooseworks-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer/audit)
[](https://www.openagentskill.com/skills/gooseworks-ai-render-absurdist-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)gooseworks-ai
@gooseworks-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsPermission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness