document-superpowers

Automate four-stage document writing with gates, validations, and traceability.

44|12|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/binbinao/document-superpowers --skill document-superpowers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: document-superpowers
Source: https://github.com/binbinao/document-superpowers/tree/main
Command: npx skills add https://github.com/binbinao/document-superpowers --skill document-superpowers

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured, gate-driven four-stage writing workflow (brainstorming → planning → execution → review) for AI agents, transforming ad-hoc drafting into repeatable, auditable processes that produce professional articles, blog posts, and long-form documentation. It emphasizes rigorous checkpoints, clear artefacts, and cross-skill coordination to improve quality, consistency, and publish readiness.

Core Features & Use Cases

  • Four-stage workflow: Brainstorming, Planning, Execution, and Review with explicit gates to prevent skipping steps.
  • Flexible execution modes: Batch execution for straightforward content or subagent-driven writing for high-stakes, interdependent sections.
  • Incremental validation: Self-checks at the section level and a four-pass review to catch logic, evidence, flow, and polish issues.
  • Artifacts and traceability: Generates topic briefs, detailed plans, per-section drafts, review logs, and final manuscripts saved under docs/writing.
  • Platform-agnostic integration: Designed to work across AI agent platforms (OpenClaw, Cursor, Claude Code, etc.), with consistent file structures.

Use cases include producing articles, technical documentation, reports, and other long-form content that benefits from structured composition and quality control.

Quick Start

Give the topic and brief, then trigger the four-stage workflow to produce a publish-ready article.

Frequently Asked Questions about document-superpowers

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate long-form article writing with an AI agent?

Automating long-form article writing involves a structured four-stage workflow: brainstorming, planning, execution, and review. This approach uses explicit gates and incremental validation to transform ad-hoc drafting into repeatable, publish-ready articles.

What is a gate-driven workflow for AI documentation?

A gate-driven workflow for AI documentation enforces explicit checkpoints between brainstorming, planning, execution, and review stages. This prevents skipping steps, ensuring incremental validation and reliable traceability for long-form technical content.

How do I generate publish-ready technical docs using AI?

Generating publish-ready technical docs requires a four-pass review to catch logic, evidence, flow, and polish issues. This Skill saves final manuscripts, review logs, and detailed plans under a structured docs/writing directory.

Does this AI writing workflow work across different agent platforms?

This AI writing workflow is platform-agnostic, designed to work across AI agent platforms like OpenClaw, Cursor, and Claude Code. It maintains consistent file structures and artifacts across different environments.

When should I use batch execution versus subagents for AI writing?

Batch execution suits straightforward content sections during the writing workflow. For high-stakes, interdependent sections, use subagent-driven execution to manage complex dependencies and ensure rigorous quality control.