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Community / AGENT SKILL
dreamifly-batch
0
Batch-generate Dreamifly images/videos from prompt queues. Use when the user asks to batch-generate images, edit images with references, create text-to-video or image-to-video, validate or estimate Dreamifly job cost, retry failed media jobs, or summarize Dreamifly outputs.
Understand the trade-offs.
SKILL QUALITY
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How clearly the skill guides your agent, how complete its workflow is, and how you can check the outcome.
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The full skill.
Original instructions from the publisher’s SKILL.md
# Dreamifly Batch ## Quick Start 1. Write real prompts to `prompts.txt` or provide `--prompts jobs.jsonl`. 2. Run `python3 dreamify.py --validate`. 3. Run `python3 dreamify.py --estimate`. 4. Run `python3 dreamify.py --dry-run`. 5. Run `python3 dreamify.py --check`. 6. If any item costs 5+ credits, stop and ask for explicit confirmation before running. 7. Run `./run.sh` or `python3 dreamify.py -n N`. 8. Report with `python3 dreamify.py --summary`; inspect `results.jsonl` and `run.log` only if needed. ## Useful Commands - `python3 dreamify.py --validate` - `python3 dreamify.py --estimate` - `python3 dreamify.py --summary` - `python3 dreamify.py --retry-failed` - `python3 dreamify.py --prompts jobs.jsonl --results-file results.jsonl` ## References - Model choice and cost rules: `references/model-selection.md` - Output and reporting contract: `references/output-contract.md` - Failure lessons and hard boundaries: `references/gotchas.md` - Trigger eval cases: `references/evals.md` - JSONL job examples: `examples/prompts.jsonl`