| name | multimodal-io-research-evolver |
| description | Use this skill when you need deep, repeatable multimodal inputs/outputs research across MetaHuman, video generation, and Gaussian splatting, with auto-updated conclusions in deep-research-multimodal_inputs_outputs.md. |
Multimodal I/O Research Evolver
Overview
Run repeatable research cycles to keep multimodal pipeline claims current for the three avatar approaches:
- MetaHuman
- Video Generation
- Gaussian Splatting
Each cycle:
- refreshes evidence through the full-modality social research skill,
- distills method-level I/O and coupling support,
- upserts a canonical conclusion section into
deep-research-multimodal_inputs_outputs.md,
- persists state/events/history for self-evolution.
Run Cycle
- Run one cycle:
python .claude/skills/multimodal-io-research-evolver/scripts/evolve_multimodal_io_research.py
- Useful options:
--skip-core-refresh (reuse latest full-modality outputs)
--max-arxiv-per-query 12
--max-arxiv-total 80
--max-github-per-query 12
--max-github-total 80
--no-publish (skip writing web/public/docs mirrors)
Outputs
Local skill outputs:
.claude/skills/multimodal-io-research-evolver/references/latest-research.json
.claude/skills/multimodal-io-research-evolver/references/latest-report.md
.claude/skills/multimodal-io-research-evolver/references/progress.md
.claude/skills/multimodal-io-research-evolver/references/history/research-*.json
.claude/skills/multimodal-io-research-evolver/references/history/report-*.md
.claude/skills/multimodal-io-research-evolver/state.json
.claude/skills/multimodal-io-research-evolver/events.jsonl
Published mirrors (unless --no-publish):
web/public/docs/multimodal-io-research-latest.md
web/public/docs/multimodal-io-research-latest.json
web/public/docs/multimodal-io-claim-matrix-latest.json
web/public/docs/multimodal-io-research-progress.md
Primary narrative output:
deep-research-multimodal_inputs_outputs.md (upserted conclusion section)
Self-Evolving Contract
Each cycle must:
- load
state.json and prior latest-research.json when present,
- refresh or reuse the latest full-modality evidence corpus,
- compute new ArXiv/GitHub deltas versus previous cycle,
- append events into
events.jsonl,
- append a human-readable run log into
references/progress.md,
- persist updated state for next cycle.
Do not delete history/events unless explicitly requested.