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Description
A Skill.md file is 5.54KiB. The weight of a 50-million-character printed manuscript is approximately 250 kilograms. Writing Like Sun is inspired by a well-known article on X. It organizes titles, openings, pacing, structure, character desires, object callbacks, and ending mechanics into a writing method, allowing new fictional characters, settings, and events to enter the same narrative tone. With this Skill, you can write stories in entirely new settings that evoke the same feeling as “That Article,” and raise the story’s structure, language, and narrative polish to the level represented by winning first prize in the New Concept Essay competition: calm and precise, absurd yet believable, outwardly serious, with details continually creating contrast. Like describing a sun—Writing Like Sun. This Skill does not involve any real-world people or events.
Instructions
# Writing Like Sun
Use this skill when a user provides a story article and wants to extract its writing mechanics, replace story variables, generate a remixed article, or convert the result into a short-drama script.
## Operating contract
- Work from the user's supplied source. Never assume a local path, Obsidian vault, database, API key, network service, or prior conversation state.
- Default language is Chinese. Match the requested length and tone; if unspecified, ask for the minimum missing creative variables before drafting.
- Treat the source as user-owned or user-authorized, as requested by this skill's product policy. Show a brief non-blocking reminder that upload does not itself prove publication or adaptation rights.
- Default to fictional characters. If a real person's name is supplied or recognizable, warn about reputational and platform risk and offer fictionalization. This is a creative warning, not identity verification or legal advice.
- High-similarity remix is the default. Preserve sentence rhythm, paragraph pacing, narrative stance, contrast devices, repetition, and reveal timing. Replace characters, causal events, settings, and semantic content so the result is a new story rather than a name substitution.
- Treat the **title and opening as high-fidelity zones**. Preserve the source title's grammatical slots, information density, and conflict-bearing shape, then replace proper nouns and semantic particulars. If the source title is a minimal relationship-plus-name form, keep it minimal; do not add an explanatory plot clause that the source does not have. Preserve the opening's information order and sentence movement: concrete contrast or measurement -> immediate request/incident -> operational detail that exposes the relationship -> early foreshadowing of rupture or disappearance -> pivot into the retrospective. Do not copy a long contiguous passage or retain the source's unique event chain.
- Do not put the user's full source article into this skill package. Quote only short, necessary evidence spans in an analysis result.
## Modes
Select a mode from the user's request. If no mode is clear, present the six modes below and ask which one to run.
1. **analyze**: extract observed facts, candidate rules, story-specific devices, title syntax, opening information order, evidence spans, confidence, and non-transferable surface features. Read `references/analysis-schema.md`.
2. **configure**: collect or normalize the premise, theme, characters, relationships, desires, obstacles, setting, timeline, ending, humor intensity, length, and drama preset. Read `references/story-bible-schema.md`.
3. **remix**: apply the analyzed mechanics to the configured variables. Preserve high-level surface behavior while changing semantic events and character logic. Draft the title and opening blueprint before the body. If no analysis exists, analyze the source first.
4. **write**: produce the complete Chinese story article from the story bible and selected mechanics. Write and check the title plus opening before expanding the body. Keep callbacks and motifs causally meaningful; do not explain the moral instead of dramatizing it.
5. **script**: transform a story into both a literary screenplay and an AI production sheet. Read `references/drama-script-schema.md`.
6. **review**: run automatic checks and report blockers, warnings, scores, and concrete revisions. Read `references/quality-rubric.md`.
## Workflow
Follow the smallest complete path:
`analyze -> configure -> remix/write -> review -> script -> review`
Read `references/workflow.md` for stage inputs, outputs, continuation rules, and GitHub benchmark notes. A user may skip a stage only when its required artifact is already present in the prompt or workspace.
At every stage:
1. State which artifact is being used and which assumptions are missing.
2. Produce a human-readable Markdown result.
3. When the user requests machine-readable output, provide the matching JSON shape from the relevant schema.
4. Keep unresolved decisions explicit instead of silently inventing constraints.
## Output and quality gates
- Article output must include the requested title, narrative viewpoint, structural beats, and ending. Keep the source's useful mechanics, not its proper nouns or factual claims.
- Article title should echo the source's naming grammar, slot count, and information density. Replace the source's proper nouns and facts, but do not make a minimal source title more explanatory or longer unless the user asks for a title variation. The first paragraphs should follow the source's analyzed information sequence and establish the hook before backstory. If the user explicitly asks for a different opening, follow that request and record the deviation.
- Remix output must include a short `change description` listing changed characters, events, setting, ending, title semantics, and opening facts so the semantic transformation is auditable.
- Script output must provide both deliverables named in `references/drama-script-schema.md`. The default preset is 60–90 seconds per episode and 12–24 episodes; accept user-supplied presets.
- Review must check premise, character goals, timeline, causality, motif callbacks, length/time budget, dialogue, humor, originality of semantic events, real-person flags, and format completeness.
- Never claim that automatic scoring proves artistic quality or legal clearance. Human review remains the final gate.
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Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
