Skill by ara.so — Daily 2026 Skills collection
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioninkos-multi-agent-novel-writingExecute the skills CLI command in your project's root directory to begin installation:
Fetches inkos-multi-agent-novel-writing from aradotso/trending-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate inkos-multi-agent-novel-writing. Access via /inkos-multi-agent-novel-writing in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
4
total installs
4
this week
22
GitHub stars
0
upvotes
Run in your terminal
4
installs
4
this week
22
stars
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.
npm install -g @actalk/inkos
# or run directly
npx @actalk/inkos --version
Requirements: Node.js ≥ 20.0.0
# 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
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
...
inkos book create --title "Title" --genre xuanhuan # genres: xuanhuan | xianxia | dushi | horror | general
inkos book list
inkos book status 吞天魔帝
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)
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
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"
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
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
inkos daemon start # Start scheduler (default: 15 min/cycle)
inkos daemon stop
inkos daemon status
~/.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"
}
}
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
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
| 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 |
Key dimensions include:
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)
}
import express from 'express'
import crypto from 'crypto'
const app = express()
app.use(express.raw({ type: 'application/json' }))
app.post('/hooks/inkos'Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
davila7/claude-code-templates
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
inkos-multi-agent-novel-writing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: inkos-multi-agent-novel-writing is focused, and the summary matches what you get after install.
Useful defaults in inkos-multi-agent-novel-writing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for inkos-multi-agent-novel-writing matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for inkos-multi-agent-novel-writing matched our evaluation — installs cleanly and behaves as described in the markdown.
inkos-multi-agent-novel-writing fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in inkos-multi-agent-novel-writing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for inkos-multi-agent-novel-writing matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in inkos-multi-agent-novel-writing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
inkos-multi-agent-novel-writing has been reliable in day-to-day use. Documentation quality is above average for community skills.
showing 1-10 of 31