Uniloco story production
Skill Uniloco-Studios/uniloco-skills/skills/uniloco-story-production
Turn real experiences, raw material, travel memories, cultural material, or brand briefs into persistent Uniloco story-production projects with input-driven story intent, structure, script, bibles, shot lineage, provider-neutral generation planning with replaceable adapters, Mock generation, selective shot revision, versions, and production exports. Use when creating or continuing a multi-shot story project, inspecting why a shot exists, preserving character/location/object continuity, changing one shot without rebuilding the rest, or demonstrating the Uniloco CLI.From its SKILL.md
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SKILL.md
3.4 KB, 603 tokens by cl100k_base, as published. Nobody here has run it
Uniloco Story Production
Create and continue one project rather than treating generations as isolated clips. Keep creator decisions explicit and keep Provider execution replaceable.
Preflight
- Locate the repository root two levels above this Skill.
- Prefer the installed
unilococommand. - If it is unavailable, run:
PYTHONPATH="{baseDir}/../../src" python3 -m uniloco --help
- Never request an API key for Mock or dry-run modes.
- Read references/workflow.md before creating or revising a project.
- Read references/manifest.md when inspecting or editing lineage.
- Read references/providers.md before selecting a non-Mock Provider.
Workflow
Run the stages in order unless the existing manifest proves a stage is already complete:
init → develop → plan → generate → revise-shot → generate → export
Use:
uniloco init <input> --output <project>
uniloco develop <project>
uniloco plan <project> --provider mock
uniloco generate <project> --mode mock
uniloco revise-shot <project> SHOT-008 --instruction "<instruction>"
uniloco export <project>
uniloco validate <project>
Project rules
- Treat
manifest.jsonas the current project source of truth. - Preserve stable IDs for scenes, characters, locations, objects, references, and shots.
- Require every shot to carry a script beat, narrative purpose, references, continuity contract, generation request, decision, version, and hash.
- Record creator instructions verbatim in revision history.
- Change only the requested shot and direct dependencies.
- Verify unrelated shot hashes before reporting a selective revision complete.
- Regenerate only plan items marked
plannedorrevision_required. - Export the report and ZIP package only after project validation succeeds.
Provider rules
- Use Mock for a complete offline demo.
- Use dry-run to inspect the generic request intended for a cataloged Provider.
- Treat
--provideras an explicit user-selected Provider. - Use provider-neutral generation planning with replaceable adapters.
- Do not claim or imply automatic Provider recommendation or routing.
- Do not invent API endpoints, parameters, model names, jobs, or results.
- Do not implement a real adapter without current official documentation, authorized credentials, explicit user intent, and adapter-specific tests.
Product language
Use only the public brand name “Uniloco”. Describe the product as human-led, model-enabled; experience-to-IP; project-based rather than clip-based; and story-first rather than prompt-first.
Do not claim a proprietary foundation video model, absolute consistency, or guaranteed distribution, monetization, or licensing outcomes.
What ships with it: 4 files
3.8 KB alongside SKILL.md
agents/
- openai.yaml295 B
references/
- manifest.md1.2 KB
- providers.md884 B
- workflow.md1.5 KB