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SKILL verified MIT Self-run

Happy Video Gen

skill-iamzhihuix-happy-claude-skills-happy-video-gen · by iamzhihuix

Universal AI video generation supporting OpenAI Sora, Google Veo 2/3, Runway Gen-3/Gen-4, Pika 2.2, Luma Dream Machine (Ray 2), FAL (Kling / Wan / Veo / Sora wrappers), Ark Seedance 1.5 Pro/Lite, Bailian Wanx (i2v), MiniMax Hailuo-02, and Vidu Q3. Use this skill whenever the user asks to generate, create, make, or synthesize a video from a text prompt or from a first-frame image. Covers text-to-v…

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Install

$ agentstack add skill-iamzhihuix-happy-claude-skills-happy-video-gen

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

happy-video-gen

Generates short videos (text-to-video or image-to-video) across 10 providers through one CLI: bun scripts/main.ts .... All providers are async — the CLI submits a job, polls until the provider finishes, then downloads the MP4 / WebM.

Quick usage

# Text-to-video
bun scripts/main.ts --prompt "camera slowly pushes into a calico cat on grass" --ar 16:9 --duration 5 --video ./out.mp4

# Image-to-video (first frame)
bun scripts/main.ts --prompt "subtle zoom, leaves swaying" --image ./keyframe.png --duration 5 --video ./out.mp4

# Image-to-video with last-frame control (provider-dependent)
bun scripts/main.ts --prompt "seamless morph" --image ./a.png --last-frame ./b.png --video ./out.mp4

When to invoke this skill

  • User asks to generate / create / make / synthesize a video from text.
  • User asks to animate a still image, or provides a first-frame path.
  • User names any video model family (Sora, Veo, Runway, Kling, Wan, Seedance, Hailuo, Pika, Dream Machine, Vidu).

Route to happy-dreamina if the user explicitly mentions 即梦 / Jimeng / dreamina CLI. Route to happy-image-gen if the user actually wants a still image.

Step 0: Preflight (BLOCKING)

  1. Locate EXTEND.md (same resolution order as happy-image-gen):
  • ./.happy-skills/happy-video-gen/EXTEND.md
  • $XDG_CONFIG_HOME/happy-skills/happy-video-gen/EXTEND.md
  • ~/.happy-skills/happy-video-gen/EXTEND.md

If none, run bun scripts/main.ts --setup and walk the user through references/config/first-time-setup.md.

  1. Verify one provider has credentials. Check env vars in the order the CLI auto-detects (see providers.md). Do not proceed without one usable provider.
  1. Verify Bun. Fall back to npx -y bun if missing.
  1. Warn about cost. Video generation is 10–100× more expensive per call than images. If the user asks for HD 1080P / 10-second clips, confirm before firing — show them the expected provider cost bracket from references/providers.md.

Step 1: Choose provider

Preference order:

  1. --provider explicitly passed.
  2. EXTEND.md default_provider.
  3. Auto-detect from env vars: fal > ark > minimax > runway > luma > pika > vidu > google > bailian > openai.

Pick by strength of the actual task:

  • Chinese prompts / Chinese text in frameark (Seedance) or bailian (Wanx).
  • Photorealistic portraitsgoogle (Veo 3) or runway (Gen-4).
  • Anime / stylizedfal (Kling) or luma.
  • Cheap draftark Seedance Lite, fal Kling v2.5 turbo, vidu Q1.
  • Voice-synced dialogue video (if applicable) → google Veo 3, openai Sora 2.

Step 2: Fill parameters

  • --prompt: always double-quote.
  • --image / --last-frame : local paths, will be base64-encoded as data URIs automatically. --last-frame only accepted by Luma and a few FAL endpoints.
  • --duration : 5 is universal default. Caps: Sora-2 / Kling up to 10; Seedance up to 10; Luma up to 9.
  • --ar : 16:9 / 9:16 / 1:1 / 4:3 / 3:4. See references/aspect_ratio_map.md for provider-specific quirks.
  • --resolution: 480p / 720p / 1080p. Not all providers honour it; most cap at 720p on cheap tiers.
  • --poll-timeout: default 600s (10 min). Increase for 1080P or >5s clips.

Step 3: Submit and wait

bun scripts/main.ts \
  --prompt "..." \
  --video ./out.mp4 \
  --provider ark \
  --duration 5 \
  --ar 16:9 \
  --resolution 720p

While waiting, do not fire another job on the same provider — concurrency caps on cheap tiers are strict (often 1). On success the CLI writes the MP4 and reports size + path. JSON output:

{ "success": true, "provider": "ark", "model": "doubao-seedance-1-0-lite-t2v-250408", "video": "/abs/out.mp4", "size_bytes": 4823456, "format": "mp4" }

Step 4: Timeouts and recovery

If polling exceeds --poll-timeout, the CLI throws with the provider-specific external id (task id / job id / operation name / request id). Capture it from stderr and resume later with provider-specific tooling. See references/async-protocol.md for the per-provider id format and manual resume commands.

References

  • references/providers.md — all 10 providers with env vars, defaults, cost notes, feature matrix.
  • references/async-protocol.md — external id format per provider + how to resume a stuck task.
  • references/aspect_ratio_map.md--ar mapping per provider.
  • references/error_codes.md — common errors and fixes.
  • references/config/first-time-setup.md — setup walkthrough.
  • references/config/extend-schema.md — EXTEND.md schema.
  • assets/EXTEND.template.md — config template.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.