eternityspring/shuohao-skills

🎬 AI Video Workspace

👋 Open to work / collaboration — I'm between jobs right now, and this repo is what I build in that spare time. Happy to hear from anyone this resonates with. Besides remote work, I'm also open to a half-collaboration: a few thousand RMB a month for living costs plus a profit share. On-site trips are possible where the work genuinely needs them. What I'm really after is finding people on the same wavelength to build something in this AI wave. Email: eternityspring@gmail.com · Résumé: resume.79px.com · WeChat hao_dev (please mention github when you add me)

These skills are free and open source, built and battle-tested on real AI short-drama production. If they save you an afternoon, consider buying me a coffee on Ko-fi ☕ — it keeps the updates coming.

Agent-agnostic skills for AI short-drama production — from a novel to shoot-ready material: character bibles, adaptation outlines, scene & prop bibles, screenplays, storyboards. Each skill is self-contained and works with any Agent that can read SKILL.md and run the bundled scripts; Claude Code and Codex are two supported examples, not requirements.

Here is the whole pipeline — the outline converges the structure; script, scenes and characters iterate together; the storyboard only outputs, it makes no new decisions:

The five pipeline skills render their reports in English too — reports default to a Chinese UI; pass --lang en to render for a fully English report (data content stays as authored). character-refs ships Chinese, English and Japanese UIs too, and translates on the spot for other languages.

The five stage reports can be merged into a single page with a left-hand nav — you get a pane for every stage you actually have:

node scripts/report.mjs --from <demo-dir> --out report.html

--from discovers the five json files using the working-directory convention; you can also point at each one directly (--outline --cast --art --script --storyboard). Ran only the character pass? You get one pane, no error.

It is an assembler, not a separate skill: it imports no skill code, it shells out to each skill's own render --html and stitches the results. So the five skills stay untouched, still run standalone, and are still copyable on their own — and when a skill changes its rendering, this picks it up for free.

Merging solves three problems, all of them inside the assembler, none inside the skills:

• Style bleed. The five reports share 57 class names, 13 of which mean different things in different reports (.copy, .kpis, .badge, .chip…), so every selector gets a scope prefix
• Script bleed. Each report's script does document-wide lookups like document.querySelector('.expo'). Merged, that only ever finds the first one — all five export buttons would break. Each script gets wrapped in a scoping proxy
• Asset paths. Each report's images are relative to its own json directory (images/…, E01-01/f1.png) and get rebased against the output file

One pane shows at a time by default (the five together run to roughly 600k characters). "Show all" in the bottom-left expands every pane so Cmd+F reaches the whole document. Number keys 1–5 switch panes, and #pane-script deep-links straight to one.

node scripts/report-selftest.mjs   # 92 assertions, no browser needed

Point it at a novel and you get all five:

novel-outline · short-drama adaptation outline

novel-characters · character bible

novel-art · art bible (scenes + props, sheets actually generated by the skill)

novel-script · screenplay (duration gauge + episode scripts + line book)

novel-storyboard · storyboard (cut rhythm strip + master/sub keyframes actually generated by the skill + H3 prompts)

No novel needed for this one — real reference images for any character:

character-refs · character references (anchor by GPT, the rest by Qwen, all actually generated by the skill)

git clone https://github.com/eternityspring/shuohao-skills.git
cd shuohao-skills
./scripts/install.sh

The installer currently detects Claude Code and Codex and symlinks every skill into place — so git pull takes effect immediately, with no reinstall. The skills themselves are not tied to either runtime. For any other Agent, copy or symlink the skill directory into its skills directory, or load its SKILL.md directly.

./scripts/install.sh novel-characters   # just one skill
./scripts/install.sh --codex            # only into codex
./scripts/install.sh --uninstall        # remove the symlinks

Prefer to do it by hand:

AGENT_SKILLS_DIR=/path/to/your-agent/skills
ln -s "$PWD/skills/novel-characters" "$AGENT_SKILLS_DIR/novel-characters"
ln -s "$PWD/skills/novel-characters" ~/.claude/skills/novel-characters
ln -s "$PWD/skills/novel-characters" ~/.codex/skills/novel-characters

Note on output language. These skills are Chinese-first. novel-characters produces Chinese character profiles even for an English source novel, and its validator actively rejects English in those fields. See that skill's README for what it would take to change.

One directory per skill, self-contained and copyable on its own:

skills/<skill-name>/
├── SKILL.md          the workflow the agent reads (required)
├── README.md         the docs a human reads
├── scripts/
│   ├── <name>.mjs    deterministic helpers, zero dependencies
│   └── selftest.mjs  self-test, never calls a model (required)
├── references/       detailed instructions, loaded on demand
├── examples/         bundled samples that double as test fixtures
└── assets/           screenshots

Two hard requirements:

• Every skill must have a SKILL.md
• Every skill must have a scripts/selftest.mjs that calls no model and costs no quota, covering all deterministic logic

Run every self-test before adding a skill:

for f in skills/*/scripts/selftest.mjs; do node "$f"; done

There is no CI — the self-tests run in about a second, so running them locally beats waiting on a pipeline. Only tested on macOS with Node 24; there is no platform-specific code, so Linux and older Node releases should be fine, but that is unverified.

Apache 2.0