inkos-multi-agent-novel-writing

aradotso/trending-skills · updated May 29, 2026

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Skill by ara.so — Daily 2026 Skills collection

skill.md

InkOS Multi-Agent Novel Writing

Skill by ara.so — Daily 2026 Skills collection

InkOS is a multi-agent CLI system that autonomously writes, audits, and revises novels. Agents handle the full pipeline: Writer → Validator → Auditor → Reviser, with human review gates at configurable checkpoints.

Installation

npm install -g @actalk/inkos
# or run directly
npx @actalk/inkos --version

Requirements: Node.js ≥ 20.0.0

Quick Start

# Create a new novel project
inkos book create --title "吞天魔帝" --genre xuanhuan

# Write the next chapter
inkos write next 吞天魔帝

# Audit a specific chapter
inkos audit 吞天魔帝 --chapter 3

# Run the full daemon (continuous production)
inkos daemon start

Project Structure

After inkos book create, the project directory contains:

story/
  outline.md              # Story outline (architect agent input)
  book_rules.md           # Per-book custom rules and audit dimensions
  chapter_summaries.md    # Auto-generated per-chapter summaries
  subplot_board.md        # Subplot progress tracking (A/B/C lines)
  emotional_arcs.md       # Per-character emotional arc tracking
  character_matrix.md     # Character interaction matrix + info boundaries
  parent_canon.md         # Spinoff only: imported canon constraints
  style_profile.json      # Style fingerprint (if style import used)
  style_guide.md          # LLM-generated qualitative style guide
  chapters/
    ch001.md
    ch002.md
    ...

Core Commands

Book Management

inkos book create --title "Title" --genre xuanhuan  # genres: xuanhuan | xianxia | dushi | horror | general
inkos book list
inkos book status 吞天魔帝

Writing Pipeline

inkos write next 吞天魔帝           # Write next chapter (auto-loads all context)
inkos write chapter 吞天魔帝 5      # Write specific chapter
inkos audit 吞天魔帝 --chapter 3    # Audit chapter (33 dimensions)
inkos revise 吞天魔帝 --chapter 3   # Revise based on audit results
inkos revise 吞天魔帝 --chapter 3 --mode spot-fix   # Point fix only (default)
inkos revise 吞天魔帝 --chapter 3 --mode rewrite    # Full rewrite (use cautiously)
inkos revise 吞天魔帝 --chapter 3 --mode polish     # Polish (no structural changes)

Genre System

inkos genre list                        # List all built-in genres
inkos genre show xuanhuan               # View full rules for a genre
inkos genre copy xuanhuan               # Copy genre rules to project for customization
inkos genre create wuxia --name 武侠     # Create new genre from scratch

Style Matching

inkos style analyze reference.txt               # Analyze style fingerprint
inkos style import reference.txt 吞天魔帝        # Import style into book
inkos style import reference.txt 吞天魔帝 --name "某作者"

Spinoff (Prequel/Sequel/IF-branch)

inkos book create --title "烈焰前传" --genre xuanhuan
inkos import canon 烈焰前传 --from 吞天魔帝       # Import parent canon constraints
inkos write next 烈焰前传                         # Writer auto-reads canon constraints

AIGC Detection

inkos detect 吞天魔帝 --chapter 3     # Detect AIGC markers in chapter
inkos detect 吞天魔帝 --all           # Detect all chapters
inkos detect --stats                  # View detection history statistics

Daemon (Continuous Production)

inkos daemon start                    # Start scheduler (default: 15 min/cycle)
inkos daemon stop
inkos daemon status

Configuration

Global Config (~/.inkos/config.json)

{
  "llm": {
    "provider": "openai",
    "model": "gpt-4o",
    "apiKey": "sk-...",
    "temperature": 0.8
  },
  "daemon": {
    "intervalMinutes": 15,
    "dailyChapterLimit": 10,
    "parallelBooks": 2
  },
  "webhook": {
    "url": "https://your-server.com/hooks/inkos",
    "secret": "your-hmac-secret",
    "events": ["chapter-complete", "audit-failed", "pipeline-error"]
  },
  "aigcDetection": {
    "provider": "gptzero",
    "apiKey": "...",
    "endpoint": "https://api.gptzero.me/v2/predict/text"
  }
}

Per-Book Rules (story/book_rules.md)

# Book Rules: 吞天魔帝

## 禁忌 (Forbidden)
- 主角不得主动求饶
- 不得出现「命运」「天意」等宿命论表述

## 高疲劳词
- 震撼, 惊骇, 恐惧, 颤抖

## additionalAuditDimensions
- 数值系统一致性: 战力数值不得前后矛盾
- 角色成长节奏: 主角突破间隔不少于3章

## 写手特别指令
- 战斗场面优先感官描写,禁止数值报告

Agent Architecture

InkOS runs five specialized agents in sequence:

ArchitectAgent  →  outline.md, book_rules.md
WriterAgent     →  ch00N.md (reads: outline, summaries, arcs, matrix, style_guide, canon)
ValidatorAgent  →  11 deterministic rules, zero LLM cost
     ↓  (error found → trigger spot-fix immediately)
AuditorAgent    →  33 LLM dimensions, temperature=0 for consistency
ReviserAgent    →  spot-fix | rewrite | polish | anti-detect

Post-Write Validator Rules (Deterministic, No LLM)

Rule Condition
Forbidden patterns 不是……而是…… constructs
Em-dash ban —— character
Transition word density 仿佛/忽然/竟然≤1 per 3000 chars
High-fatigue words Per-book list, ≤1 per chapter
Meta-narrative Screenwriter-style narration
Report terminology Analytical framework terms in prose
Author moralizing 显然/不言而喻 etc.
Collective reaction 「全场震惊」clichés
Consecutive 了 ≥4 consecutive sentences with 了
Paragraph length ≥2 paragraphs over 300 chars
Book-specific bans book_rules.md forbidden list

Audit Dimensions (33 total, LLM-evaluated)

Key dimensions include:

  • Dims 1–23: Core narrative quality (plot, character, pacing, foreshadowing)
  • Dim 24–26: Subplot stagnation, arc flatness, rhythm monotony (all 5 genres)
  • Dim 27: Sensitive content
  • Dim 28–31: Spinoff-specific (canon conflicts, future info leakage, world rule consistency, foreshadowing isolation)
  • Dim 32: Reader expectation management
  • Dim 33: Outline deviation detection

Code Integration Examples

Programmatic Usage (TypeScript)

import { BookManager } from '@actalk/inkos'
import { WriterAgent } from '@actalk/inkos/agents'
import { ValidatorAgent } from '@actalk/inkos/agents'

// Create and configure a book
const manager = new BookManager()
const book = await manager.createBook({
  title: '吞天魔帝',
  genre: 'xuanhuan',
  outlinePath: './my-outline.md'
})

// Run the write pipeline for next chapter
const writer = new WriterAgent({ temperature: 0.8 })
const chapter = await writer.writeNext(book)

// Run deterministic validation (no LLM cost)
const validator = new ValidatorAgent()
const validationResult = await validator.validate(chapter, book)

if (validationResult.hasErrors) {
  // Auto spot-fix triggered
  const reviser = new ReviserAgent({ mode: 'spot-fix' })
  const fixed = await reviser.revise(chapter, validationResult.errors, book)
  console.log('Fixed violations:', validationResult.errors.length)
}

Webhook Handler (Express)

import express from 'express'
import crypto from 'crypto'

const app = express()
app.use(express.raw({ type: 'application/json' }))

app.post('/hooks/inkos'
how to use inkos-multi-agent-novel-writing

How to use inkos-multi-agent-novel-writing on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add inkos-multi-agent-novel-writing
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/aradotso/trending-skills --skill inkos-multi-agent-novel-writing

The skills CLI fetches inkos-multi-agent-novel-writing from GitHub repository aradotso/trending-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/inkos-multi-agent-novel-writing

Reload or restart Cursor to activate inkos-multi-agent-novel-writing. Access the skill through slash commands (e.g., /inkos-multi-agent-novel-writing) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.731 reviews
  • Dhruvi Jain· Dec 28, 2024

    inkos-multi-agent-novel-writing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Hana Gonzalez· Dec 4, 2024

    Solid pick for teams standardizing on skills: inkos-multi-agent-novel-writing is focused, and the summary matches what you get after install.

  • Oshnikdeep· Nov 19, 2024

    Useful defaults in inkos-multi-agent-novel-writing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Oct 10, 2024

    Registry listing for inkos-multi-agent-novel-writing matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Fatima Ghosh· Sep 25, 2024

    Registry listing for inkos-multi-agent-novel-writing matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Sep 17, 2024

    inkos-multi-agent-novel-writing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aditi Sharma· Sep 9, 2024

    Useful defaults in inkos-multi-agent-novel-writing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aditi Kapoor· Aug 28, 2024

    Registry listing for inkos-multi-agent-novel-writing matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Fatima Martinez· Aug 16, 2024

    Useful defaults in inkos-multi-agent-novel-writing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chaitanya Patil· Aug 8, 2024

    inkos-multi-agent-novel-writing has been reliable in day-to-day use. Documentation quality is above average for community skills.

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