documentation-writing

documentation-writing is a skill for Claude Code from dungnotnull/hybrid-harness-chaos-process-prm. It costs 171 tokens per session (2,389 once invoked), scanned A, original, MIT.

A documentation-writing guide for creating project documents such as technical specifications, usage guides, user flows, and README files.

In plain words
What is it for?
Use it to write or update documentation from a codebase, requirements, existing documents, and a specified audience.
Why use it?
It helps make a project understandable to different readers, including people who are new to the codebase or the product.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the hybrid-harness-chaos-process plugin — 37 skills, 4 commands shipped together

Good fit Use it to write or update documentation from a codebase, requirements, existing documents, and a specified audience.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dungnotnull/hybrid-harness-chaos-process-prm/s34-documentation-writing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add dungnotnull/hybrid-harness-chaos-process-prm --skill s34-documentation-writing
Clone the repo
git clone --depth 1 https://github.com/dungnotnull/hybrid-harness-chaos-process-prm

Made for: Claude Code.

Or install hybrid-harness-chaos-process, the plugin that ships this one along with the rest of its 37 skills, 4 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for documentation-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/dungnotnull/hybrid-harness-chaos-process-prm/s34-documentation-writing/github.svg)](https://agentmods.dev/skills/dungnotnull/hybrid-harness-chaos-process-prm/s34-documentation-writing)
Your own site
<a href="https://agentmods.dev/skills/dungnotnull/hybrid-harness-chaos-process-prm/s34-documentation-writing"><img src="https://agentmods.dev/badge/skills/dungnotnull/hybrid-harness-chaos-process-prm/s34-documentation-writing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for documentation-writing

Your own site · 80×15
<a href="https://agentmods.dev/skills/dungnotnull/hybrid-harness-chaos-process-prm/s34-documentation-writing"><img src="https://agentmods.dev/badge/skills/dungnotnull/hybrid-harness-chaos-process-prm/s34-documentation-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 171 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,389 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00171 $0.02389
Opus 5 $0.00086 $0.01195
Sonnet 5 $0.00034 $0.00478
Haiku 4.5 $0.00017 $0.00239

Measured 12d ago against content hash 70ea145f96c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

documentation-writing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/s34-documentation-writing/SKILL.md · 355 lines

How it starts

The opening of the file, as written. The whole thing — 355 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Documentation Writing — Project Documentation Engine (s34)

Purpose

Generate clear, accurate, audience-appropriate documentation that makes a project understandable and usable by every stakeholder — from backend engineers reviewing architecture to first-time users trying to get started. Every document follows the principle: the reader should never have to guess.


Prerequisites

  • Project artifacts available (PRD, pipeline YAML, experiment results, etc.)
  • Target audience identified (engineers, non-technical users, SREs)
  • No specific skill outputs required — can be invoked at any phase
  • Access to project repository for documentation rendering

Input Contract

Input Source Required
Project codebase / structure Repository exploration Yes
Target documentation type User prompt (technical / userflow / usage / README) Yes
Target audience User prompt or inferred Yes
PRD / specifications s01 output No
ADRs s01 output No
Existing documentation docs/ directory scan No
User's tone preference s02 taste file No

Output Contract

Output Destination Format
Documentation artifact docs/<type>/ or project root Markdown
README.md Project root Markdown with badges, TOC, sections
User flow diagram docs/userflows/ Mermaid flowchart or numbered steps
Technical spec docs/technical/ Markdown with code blocks, diagrams
Usage guide docs/guides/ Markdown with screenshots, plain language

Documentation Types

Type 1: Technical Documentation

Audience: Engineers, SREs, DevOps, platform teams

Structure:

# <Component/Feature Name> — Technical Specification

## Overview
One paragraph: what it does, why it exists, what problem it solves.

## Architecture
High-level design. Mermaid diagrams for data flow, component relationships.

## Data Model
Tables, schemas, relationships. Include field types, constraints, defaults.

## API Reference
Endpoint, method, request/response schema, error codes, rate limits.

## Configuration
Environment variables, config files, feature flags. Include defaults.

## Error Handling
Error codes, retry logic, fallback behavior.

## Dependencies
External services, libraries, infrastructure requirements.

## Security Considerations
Auth requirements, data sensitivity, threat model.

## Testing
How to test locally, integration test setup, mocking external deps.

Read the full file on GitHub · 355 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 355 lines · 171 tokens per session scan A 70ea145f96c4

Subscribe to this mod's changes

documentation-writing is a skill published in the GitHub repository dungnotnull/hybrid-harness-chaos-process-prm (19 stars, last pushed 3mo ago), licensed MIT. It adds 171 tokens to every session and 2,389 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens