Best for
- Use when writing technical documentation that needs to be readable by both humans and AI models, converting existing docs to HADS format, validating a HADS document, or optimizing documentation for token-efficient AI co…
wshobson/agents/plugins/documentation-standards/skills/hads/SKILL.md
Use when writing technical documentation that needs to be readable by both humans and AI models, converting existing docs to HADS format, validating a HADS document, or optimizing documentation for token-efficient AI consumption.
Decision brief
Version 1.0.0 · Human-AI Document Standard · 2026 · HADS 1.0.0
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/wshobson/agents --skill "plugins/documentation-standards/skills/hads"Inspect the Agent Skill "hads" from https://github.com/wshobson/agents/blob/c4b82b0ad771190355eb8e204b1329732a18449a/plugins/documentation-standards/skills/hads/SKILL.md at commit c4b82b0ad771190355eb8e204b1329732a18449a. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
This skill teaches Claude how to read, generate, and validate HADS documents. Read all [SPEC] blocks before responding to any HADS-related request. Read [NOTE] blocks if you need context on intent or edge cases.
[SPEC] - HADS = Human-AI Document Standard - Convention for Markdown technical documentation - Four block types: [SPEC], [NOTE], [BUG], [?] - Every HADS document requires: H1 title, version declaration, AI manifest - AI manifest appears before first content section, tells AI wha…
Block tag rules: - Bold, on its own line: [SPEC] - Content follows immediately (no blank line between tag and content) - Multiple blocks of different types allowed per section - Titled BUG blocks allowed: [BUG] Short description - No nesting of blocks inside blocks
Review the “3. REQUIRED DOCUMENT STRUCTURE” section in the pinned source before continuing.
Version X.Y.Z · Author · Date · [metadata]
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 83/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 38,313 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Version 1.0.0 · Human-AI Document Standard · 2026 · HADS 1.0.0
This skill teaches Claude how to read, generate, and validate HADS documents.
Read all [SPEC] blocks before responding to any HADS-related request.
Read [NOTE] blocks if you need context on intent or edge cases.
[SPEC]
**[SPEC]**, **[NOTE]**, **[BUG]**, **[?]**.md — standard Markdown, no tooling required[SPEC]
**[SPEC]** Authoritative fact. Terse. Bullet lists, tables, code. AI reads always.
**[NOTE]** Human context, history, examples. AI may skip.
**[BUG]** Verified failure + fix. Required fields: symptom, cause, fix. Always read.
**[?]** Unverified / inferred. Lower confidence. Always flagged.
Block tag rules:
**[SPEC]****[BUG] Short description**[SPEC]
# Document Title
**Version X.Y.Z** · Author · Date · [metadata]
---
## AI READING INSTRUCTION
Read `[SPEC]` and `[BUG]` blocks for authoritative facts.
Read `[NOTE]` only if additional context is needed.
`[?]` blocks are unverified — treat with lower confidence.
---
## 1. First Section
**[SPEC]**
...
Required elements in order:
**Version X.Y.Z** in header (first 20 lines)[SPEC] When encountering a HADS document:
[SPEC] blocks — these are ground truth[BUG] blocks — always, before generating any code or config[NOTE] blocks only if [SPEC] is insufficient to answer the query[?] content as hypothesis — note uncertainty in responseToken optimization: for large documents, scan section headings first, then read only [SPEC] and [BUG] blocks in relevant sections.
[SPEC] When asked to write documentation in HADS format:
[SPEC] — terse, bullet or table or code[NOTE][BUG][?]Content rules for [SPEC]:
[NOTE]Content rules for [BUG]:
**[BUG] Short description**[NOTE]
When converting existing documentation to HADS: extract facts into [SPEC], move narrative and history to [NOTE], surface all known issues as [BUG]. Do not duplicate content between block types.
[SPEC] A valid HADS document must have:
**Version X.Y.Z** in first 20 lines**[SPEC]** not [SPEC] not [SPEC][BUG] blocks contain at minimum symptom + fixValidator: (planned — not yet included in this release)
[SPEC]
User: "Write HADS documentation for this REST API" → Generate full HADS document: header, manifest, sections with [SPEC]/[NOTE]/[BUG] blocks
User: "Convert this README to HADS format" → Restructure existing content into HADS blocks, preserve all facts, add manifest
User: "Is this document valid HADS?" → Check: H1 title, version, manifest, block tag formatting, BUG block completeness
User: "Summarize this HADS document" → Read only [SPEC] and [BUG] blocks, return structured summary
User: "What does this API do?" (HADS doc provided) → Read manifest, read [SPEC] blocks in relevant sections, answer directly
[NOTE] HADS exists because AI models increasingly read documentation before humans do. The format optimizes for this reality without sacrificing human readability.
Key insight: the AI manifest is the core innovation. It lets even small (7B) models know what to read and what to skip — without requiring them to reason about document structure. Explicit is better than implicit for model consumption.
When generating HADS, think of [SPEC] as the API surface and [NOTE] as the comments. [BUG] blocks are the most valuable content — they represent hard-won knowledge that saves others from hitting the same wall.
[SPEC]
Tag | Bold format | Reader | Required content
----------|----------------|---------|------------------
[SPEC] | **[SPEC]** | AI | Facts, terse
[NOTE] | **[NOTE]** | Human | Context, narrative
[BUG] | **[BUG] ...** | Both | Symptom + fix
[?] | **[?]** | Both | Unverified claims
Manifest minimum:
## AI READING INSTRUCTION
Read `[SPEC]` and `[BUG]` blocks for authoritative facts.
Read `[NOTE]` only if additional context is needed.
`[?]` blocks are unverified.
Alternatives
K-Dense-AI/scientific-agent-skills
Use when working directly with the `esm` Python SDK, ESM3 or ESMC model IDs, Forge/Biohub inference clients, or ESMFold2 folding workflows.
wshobson/agents
Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.
wshobson/agents
Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Use when the user asks to create, design, or build a landing page, homepage, or marketing page and has no established visual direction. Skip when they have a design mockup, need a dashboard or app UI, are working at component level, building a multi-page app, or restyling with known design tokens —
github/awesome-copilot
Two related workflows for a locally-cloned codebase, in one skill. Documentation mode produces a single, comprehensive, verifiable architecture document primarily by reading files on disk (local-first) — use it whenever the user wants to understand, map, document, research, or onboard onto a codebase ("research this repo", "write up the architecture", "do an architecture deep dive", "document how this codebase works", "map the system design", "create an onboarding doc"). Modernization mode gener