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Drive Slates from your terminal, or let Codex (with your ChatGPT account) or Claude Code shell out to it instead of loading <!-- gen:tool-count -->142<!-- /gen:tool-count --> tool schemas into context.\n\n## Install\n\n```bash\nnpm i -g @slatesvideo/cli\n```\n\nRequires Node.js 18+ and the Slates desktop app ([slates.video](https://slates.video)).\n\n## Commands\n\n| Command | What it does |\n|---|---|\n| `slates login` | Authorize this machine via magic link (or `--token slates_sk_...`) |\n| `slates logout` | Clear the stored cloud token |\n| `slates status` | Show connection state, account, and credit balance |\n| `slates mcp` | Detect installed MCP clients and print the exact config for each; `--write` merges it into Claude Desktop / Cursor configs (with a `.bak` backup) |\n| `slates install-skills` | Install the bundled agent skills into `.claude/skills/<name>/SKILL.md`; `--global` targets `~/.claude/skills` |\n| `slates run <op>` | Invoke any Slates operation by id; `--list` shows all <!-- gen:tool-count -->142<!-- /gen:tool-count -->, `<op> --help` shows one op's flags |\n| `slates run <op> --input '<json>'` | Pass a NESTED object (Shot `params`/`refs`, batch updates) — flags cannot express those |\n| `slates use <project>` | Set the default project, by id or name, so ops stop needing `--projectId` |\n| `slates doctor` | Check every setup precondition and print the fix for each failure |\n| `slates completion bash\\|zsh\\|pwsh` | Shell completion for the operation ids |\n\n## Skills\n\n<!-- gen:skill-count -->37<!-- /gen:skill-count --> agent skills ship embedded in `@slatesvideo/shared`: <!-- gen:workflow-skill-count -->21<!-- /gen:workflow-skill-count --> workflow recipes (<!-- gen:workflow-skills -->blocking-to-prompt, camera-language, character-identity, chatgpt-images, cinematic-look, content-policy, cost-discipline, dialogue-blocking, direct-response-ad, edit-and-iterate, model-selection, one-prompt-film, previs-blocking, project-organization, restyle-from-blocking, script-craft, shot-variety, storyboard-from-script, style-prompting, ugc-influencer-ad, vision-feedback-loop<!-- /gen:workflow-skills -->) and <!-- gen:per-model-skill-count -->16<!-- /gen:per-model-skill-count --> per-model prompting guides covering <!-- gen:video-roster -->kling-v3.0-std, kling-v3.0-pro, kling-v3.0-omni, veo-3.1-fast, veo-3.1-standard, Seedance 2.0, Seedance 2.5, Gemini Omni Flash, MiniMax H3, MiniMax H3 Max, MiniMax H3 Max Turbo, LTX-2.5, LTX-2.5 Pro<!-- /gen:video-roster -->, <!-- gen:image-roster -->Nano Banana 2 (Gemini 3.1 Flash Image), Nano Banana 2 Lite, Nano Banana Pro, GPT Image 2.5 Flare, GPT Image 2.5 Sunburst, FLUX.2 Max, Seedream 5 Lite<!-- /gen:image-roster --> and <!-- gen:audio-roster -->Seed Audio 1.0, ElevenLabs Sound Effects v2, Inworld Realtime TTS-2<!-- /gen:audio-roster -->.\n\n`slates install-skills` writes each one to `.claude/skills/<skill-name>/SKILL.md` in your current project, which is the layout Claude Code's skill discovery requires. Use `--global` to install for every project. Restart Claude Code afterward, then ask: \"what slates skills do you have?\" to verify.\n\n## Using `slates run` (agent-driven)\n\n```bash\n# List every operation\nslates run --list\n\n# Create a project\nslates run slates_create_project --name \"neon samurai\"\n\n# Estimate before generating (the cost-discipline skill makes agents do this)\nslates run slates_estimate_generation_cost --model kling-v3-standard-5s\n\n# Generate an image into a project\nslates run slates_generate_image --projectId <uuid> --prompt \"...\" --resolution 1k --aspectRatio 16:9\n\n# Kick off a video in the background, then poll it\nslates run slates_generate_video --projectId <uuid> --model veo-3.1-fast --prompt \"...\" --aspectRatio 16:9 --duration 8 --background true --confirm true\nslates run slates_get_generation_status --generationId <uuid>\n\n# Assemble + export\nslates run slates_add_clip_to_timeline --projectId <uuid> --assetId <uuid>\nslates run slates_export_video --projectId <uuid> --outputPath \"C:\\\\Videos\\\\ad.mp4\"\n\n# Structured output for scripting\nslates run slates_get_credit_balance --json\n```\n\n> The timeline, export, background-generation, edit-image, and image-reference ops need a Slates desktop on agent API v2 — if an op reports a version error, update Slates (Settings → Check for Updates) and retry.\n\nNotes for agent use:\n\n- Repeated flags or comma lists become arrays: `--ids a,b,c`.\n- `--json` emits `{text, data, images}`. Image entries carry `mimeType` and byte count only, not the binary. Use the MCP server (`@slatesvideo/mcp-server`) when the agent needs to see generated images inline.\n- Generation ops gate on missing `aspectRatio`/`resolution` and on cost over <!-- gen:confirm-credits -->17<!-- /gen:confirm-credits --> credits (`confirm=true` required), so a scripted run cannot silently overspend. The exit code says which: **0** done, **1** error, **3** confirm required, **4** clarification required, **5** desktop unreachable, **6** not signed in.\n\n## First-time setup\n\n1. Install and open the Slates desktop app.\n2. **Settings → AI tools → enter your email → Send link.** Click the emailed link.\n3. `slates status` should now show your account. (Alternative: `slates login`.)\n\nCredentials live in `~/.slates/agent-connection.json`. No env vars.\n\n## Links\n\n- Website: [slates.video](https://slates.video)\n- Source: [github.com/EricDisero/slates-mcp](https://github.com/EricDisero/slates-mcp)\n- Issues: [github.com/EricDisero/slates-mcp/issues](https://github.com/EricDisero/slates-mcp/issues)\n","readmeFilename":"README.md"}