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generate-media

Use when generating or editing an image or video with an AI model — ads, mockups, style variations, image-to-video.

Skill by lwlee2608

IndexedMIT★ 1
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/lwlee2608-generate-media

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Use when generating or editing an image or video with an AI model — ads, mockups, style variations, image-to-video. Calls a provider API (OpenRouter today), saves the file outside the repo, and reports what it actually cost.

Use cases: backend, writing, marketing

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/generate-media

What's inside

Skill name
generate-media
Description
Use when generating or editing an image or video with an AI model — ads, mockups, style variations, image-to-video. Calls a provider API (OpenRouter today), saves the file outside the repo, and reports what it actually cost.
License
MIT
Instructions
40 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • openrouter.md · providers/

SKILL.md (first lines)

# Generate Media

One generation per invocation through a provider API. The file lands in `$HOME/.cache/generate-media/`.

Provider reference — read before the first API call:

- OpenRouter (default): [providers/openrouter.md](providers/openrouter.md)

## Rules

1. **Stop if the provider key is missing.** For OpenRouter that is `OPENROUTER_API_KEY` — check `.env` in the project root, then the environment. Never write a key into a tracked file. If missing, point the user at <https://openrouter.ai/settings/keys> and stop.

2. **Look up model IDs from the API. Never guess them.** IDs change and a wrong one wastes a paid round trip.

3. **Pick the cheapest model that meets the need**, unless the user named one. Exceptions worth saying out loud: `openai/gpt-image-2` for legible text inside an image, a `-pro` tier when the user asked for production quality.

4. **Quote the cost before calling, and only quote a figure you can source.** Video runs 10×–50× an image.
   - Video: use the per-second table in the provider reference. No row there means no published rate — say so and wait.
   - Image: unquotable before the call (`pricing.image_output` is per output token, not per image). Name the model, say the cost lands after the response, and go ahead — a still is normally a few cents.
   - Wait for the user when a sourced figure exceeds ~$0.50, or when a video price is unknown.

   Settle motion on a cheap draft before paying for a real render: `bytedance/seedance-2.0-mini` is ~$0.08 for 6 s at 720p, less at 480p. Price scales with `width × height × duration`, so halving the resolution is the cheapest way to test an idea.

5. **Save to `$OUT_DIR/<slug>.<ext>`, where `OUT_DIR="$HOME/.cache/generate-media"`.** `mkdir -p` it first. Write `$HOME`, never a bare `~` — a quoted tilde does not expand and drops a literal `./~/` directory into the project. Never overwrite — add a numeric suffix. Never leave a result only in the API response. Copy into the project only when the user asks; raw output is 2–3 MB stills and 6 Mbps clips, which should not enter git.

6. **Report the absolute file path and the real cost** from `usage.cost` in the response, never an estimate.

## Check before reporting done

- The file just written is non-empty: `test -s "$OUT"` — a failed base64 decode leaves 0 bytes. Check that one path, not the whole directory; it is shared across every project and holds old results.
- A video is an actual `.mp4`, not a JSON error body: `file "$OUT"`.

## Common mistakes

- **Treating video as synchronous.** `POST /videos` returns `202` with a `polling_url`. Poll ~every 30 s until `completed`, then download.
- **Estimating cost from a pricing field.** Read `usage.cost` from the response.
- **Piping base64 straight into a file.** Decode it: `jq -r '.data[0].b64_json' resp.json | base64 -d > out.png`.
- **Sending a local path as a reference image.** Reference inputs take an HTTP(S) URL or a base64 data URL.

From lwlee2608/agent-skills, MIT.

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Last commit (this folder)
Aug 17, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026).

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License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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generate-media skill. Agent Mart. https://agentmart.dev/skills/lwlee2608-generate-media (last updated 2026-10-24)