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Novel Writing

Community
wgwtest
novel-writing

Use when setting up a fiction project, planning, drafting, revising, or reviewing fiction where chapter versions, author feedback, character knowledge, scene causality, dialogue, or style fidelity matter.

Overview

Publisherwgwtest
Repositorynovel-writing
Skill namenovel-writing
Stars
55
Forks
3
Bundled files
13
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by wgwtest on GitHub. Read the source before you install it.

Installation

Install the Novel Writing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/wgwtest/novel-writing/tree/main/novel-writing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wgwtest/novel-writing.git /tmp/novel-writing
mkdir -p .claude/skills
cp -r /tmp/novel-writing/novel-writing .claude/skills/novel-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Novel Writing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Novel Writing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Novel Writing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Novel Writing

Overview

Use this skill for fiction work that needs narrative craft, not just sentence-level cleanup. It covers planning, drafting or continuing prose, and reviewing finished fiction. When a task crosses chapter versions, it also coordinates the project's manuscript handoff and author-feedback learning.

When to Use

Use this skill when the user asks to:

  • plan a chapter, scene, arc, volume, whole-story outline, story synopsis, canon document, or reveal sequence
  • set up a fiction project that will keep formal chapters, working revisions, and author feedback across sessions
  • continue or rewrite fiction prose
  • check whether a chapter is structurally sound
  • review whether characters are introduced clearly
  • preserve an author's original voice while revising
  • compare an author's hand-edited chapter with an actual delivery and carry supported feedback into later work
  • deliver a revision within an existing project's manuscript and archive rules
  • test whether a scene obeys real-world limits such as visibility, procedure, age, or capability

Do not use this skill for:

  • poetry-only requests
  • screenplay formatting work
  • pure copyediting where narrative judgment is not needed
  • non-fiction writing

Stage Selection

For project setup or work across manuscript versions, load the lifecycle reference as directed below. For prose tasks, decide which stage the task belongs to.

1. Planning

Use when the user is deciding what a scene, chapter, arc, volume, or whole story should do before prose is written.

Read:

  • references/planning.md for scene- or chapter-level planning
  • references/story-outline-and-causal-summary.md for an arc, volume, or whole-story outline, a story synopsis, or a standalone canon/theory document
  • references/cognition-layers-and-language.md when knowledge, motive, or disclosure drives decisions
  • references/scene-causality-and-agency.md for conflict, responsibility, action order, or chapter interfaces
  • references/dialogue-and-behavior.md when a planned meeting, interview, consultation, investigation, or technical scene could collapse into turn-taking exposition
  • references/scene-and-structure.md when chapter flow is the main concern
  • references/realism-constraints.md when the chapter depends on real-world limits

2. Drafting or Continuing

Use when the user wants new fiction prose, a rewrite of prose, or a continuation of an existing chapter.

Read:

  • references/character-introductions.md
  • references/cognition-layers-and-language.md when decisions or dialogue depend on unequal knowledge, judgment, or motive
  • references/scene-causality-and-agency.md for conflict, movement, authority, or continuity
  • references/dialogue-and-behavior.md for sustained dialogue, meetings, interviews, interrogations, domestic confrontations, or laboratory and research scenes
  • references/scene-and-structure.md
  • references/style-fidelity.md
  • references/realism-constraints.md when the scene depends on real-world constraints

3. Reviewing

Use when the user wants critique, diagnosis, or revision advice on existing fiction.

Read:

  • references/revision-checklist.md
  • references/dialogue-and-behavior.md when dialogue reads like a transcript, characters take orderly turns, or the scene contains motion but little human response
  • then load the specific reference files that match the problems you find

Long-Fiction Context Strategy

When the fiction project is long enough that loading the entire formal draft would be wasteful, use context LOD instead of full-text-first reading.

Load order

  • L0 Task: the immediate writing or review job

  • L1 Hard constraints: outline, timeline, setting, issue records, local project rules

  • L2 Near-field full text: current chapter, adjacent chapters, and linked manuscript layers when fidelity matters

  • L3 Far-field structure: chapter cards, timeline slices, and outline slices

  • L4 Cold zone: unrelated future chapters and distant full text, excluded by default

  • If you are directly revising a chapter, read that chapter's full text.

  • If dialogue rhythm, psychological detail, ambiguity, flirtation, or body-detail writing matters, read the relevant full text instead of relying on summary material.

  • If structure cards conflict with the project's authoritative prose, flag the discrepancy and use the prose as evidence for this task. Update cards only when the project's rules and current authorization allow it; an unreviewed author edit is not automatically accepted canon.

  • If the available structured context is insufficient, expand by targeted full-text reads, not by loading the whole novel.

  • Future-chapter prose is excluded by default unless a confirmed continuity dependency requires it.

Manuscript and author-feedback stewardship

When creating a fiction project or working with chapter versions, a hand-edited or annotated author draft, a delivery, or cross-session recovery, read Manuscript Lifecycle and Author Feedback. This skill coordinates the setup or handoff among the current manuscript, working revisions, frozen evidence, and reusable author feedback; the project's own rules determine their paths and authority. Do not create a second version system or assume that a writing or review tool owns the project's formal manuscript. For parallel chapter ownership, follow the current project's explicit workflow.

Hard Rules

Reader Knowledge Is Not Author Knowledge

Never assume the reader already knows:

  • who a character is
  • how people are related
  • what a place looks like
  • why a behavior matters

If the author knows it but the prose has not shown it, treat it as missing.

Important Characters Cannot Enter Naked

When an important character first enters the story in an effective way, the prose must give the reader enough to anchor them:

  • identity or role
  • relationship to the current event or viewpoint
  • first impression

If the character is a villain, love interest, rival, or core ally, the prose also needs at least one recognisable trait such as:

  • appearance
  • clothing
  • posture
  • voice
  • habitual gesture
  • other people's reaction

Scene Information Must Obey Access Limits

Characters may only know what the scene allows them to know.

Always separate:

  • what they can see
  • what they can hear
  • what they can physically reach
  • what they can correctly infer

Seeing something is not the same as understanding it. Getting close once is not the same as having time to inspect it.

Cognition Must Change Choice and Language

Separate information distribution from epistemic status before consequential decisions or dialogue. Track what is shared, specialized, or private; then distinguish observation, report, judgment, intention, and misrecognition.

Use shared understanding to constrain the scene without redundant exposition, specialized understanding to change risk or available methods, and individual cognition to determine what a character chooses, hides, distorts, tests, or says. Classify all of it relative to the current character, time, and audience.

Viewpoint Does Not Own Every Decision

Separate the experiential center, problem owner, decision owner, domain actor, and execution owner. POV determines what pressure reaches the reader first; it does not automatically grant authority, expertise, or permanent control.

Make consequential scenes legible as perception or misinterpretation, narrowed options, decision, action, consequence, and reassessment. Treat that chain as a diagnostic scaffold, not a mandatory formula or a ban on omniscient and multi-viewpoint fiction.

Dialogue Must Happen Through Behavior

Sustained dialogue must remain embodied and consequential. A scene is not active merely because characters handle props or instruments. Distinguish functional action, which reveals strategy or changes the next beat, from decorative action and procedural action.

Do not repair transcript-like prose by attaching an emotion label or arbitrary gesture to every line. Action density is not a quality target, and beats must not be distributed evenly. Rapid dialogue may remain untagged when voice and pressure are clear. Add a behavioral beat where information lands, a lie is tested, power shifts, restraint fails, or a decision changes.

Causal and response checks are author-side diagnostics, not a sentence-by-sentence narration template. Let context, dialogue, action, and pauses carry the exchange; direct statements of silence remain valid. Use the distinctions in Dialogue and Behavior rather than routinely explaining whether a remark was answered.

Every Scene Segment Must Earn Its Place

Every chapter or functional segment should be able to answer:

  • What problem is this segment handling?
  • Who changes here?
  • What moves forward by the end?

If the prose only accumulates content without changing the situation, treat it as structurally weak.

Protect Style-Bearing Material

Default to preserving the author's:

  • dialogue
  • inner thoughts
  • digressive texture
  • observational details
  • flirtation or ambiguity
  • rhythm-bearing repetition

You may fix wording, punctuation, transcription noise, and paragraph breaks. Do not silently compress concrete material into summary.

Review Output Must Be Specific

When reviewing fiction, report concrete findings with:

  • location
  • problem type
  • why it fails
  • how to revise it

Avoid vague comments such as "a bit stiff" or "could be improved."

Project Rules Override This Skill

If the fiction project already has local rules, style contracts, or manuscript-layer rules, follow those first. This skill supplies general fiction method, not project-specific law.

Working Pattern

  1. Identify whether the task is project setup, a prose stage, or work across manuscript versions or author feedback; load the lifecycle reference before any project-folder or manuscript-file edits in those cases.
  2. Identify the minimum context tier needed for the task.
  3. Load only the reference files needed for that stage.
  4. Load project-local outline, timeline, setting, and issue files before pulling extra prose.
  5. Pull near-field full prose when revising language, style, or chapter continuity.
  6. Apply the hard rules before proposing prose changes.
  7. If reviewing, produce structured findings before any summary.
  8. When delivering plain-text manuscript files, run the bundled checker as python <skill-directory>/scripts/check_manuscript_text.py <file-or-directory>; review warnings instead of treating them as automatic prose defects.
  9. If the task touches sensitive realism constraints and you are unsure, say what must be verified instead of bluffing.

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Novel Writing AI skill do?

Use when setting up a fiction project, planning, drafting, revising, or reviewing fiction where chapter versions, author feedback, character knowledge, scene causality, dialogue, or style fidelity matter.

Why use Novel Writing on TypingMind?

Because you install it once and use it with any model. Novel Writing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Novel Writing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wgwtest/novel-writing/tree/main/novel-writing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Novel Writing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Novel Writing?

As many as you like. As long as a model supports skills, you can use Novel Writing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Novel Writing AI skill free?

Yes. It is published on GitHub by wgwtest under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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