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deep-quality-review

Reviews any written material (docs, guides, lectures, labs, READMEs, essays, proposals, specs, emails) for both functional quality and deep quality, using the…

Skill by atrnh

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/atrnh-deep-quality-review

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Reviews any written material (docs, guides, lectures, labs, READMEs, essays, proposals, specs, emails) for both functional quality and deep quality, using the Diátaxis theory of documentation quality. Use when the user asks for a "deep quality" review, a "Diátaxis review", or wants to know whether writing is truly excellent rather than merely correct: "is this actually good?", "why does this feel clunky?", "review this for flow", "does this serve the reader?". Also use when a draft is accurate and complete but still feels off. Can hand the findings to the triage-feedback skill, whose dashboard lets the user approve or reject each proposed fix. Do NOT use for pure proofreading, brand-voice checks, or writing new material from scratch.

Use cases: design, data, writing

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/deep-quality-review

What's inside

Skill name
deep-quality-review
Description
Reviews any written material (docs, guides, lectures, labs, READMEs, essays, proposals, specs, emails) for both functional quality and deep quality, using the Diátaxis theory of documentation quality. Use when the user asks for a "deep quality" review, a "Diátaxis review", or wants to know whether writing is truly excellent rather than merely correct: "is this actually good?", "why does this feel clunky?", "review this for flow", "does this serve the reader?". Also use when a draft is accurate and complete but still feels off. Can hand the findings to the triage-feedback skill, whose dashboard lets the user approve or reject each proposed fix. Do NOT use for pure proofreading, brand-voice checks, or writing new material from scratch.
License
MIT
Instructions
161 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • theory.md · references/

SKILL.md (first lines)

# Deep Quality Review

Judge writing the way its reader will experience it. Functional quality is the price of
entry. Deep quality is what makes it excellent. Review both, in that order, because deep
quality depends on functional quality.

Read [references/theory.md](references/theory.md) once per session before your first review.
It explains the reasoning behind every step below.

## Core stance

- **Functional quality is measured against the world.** It is objective, and its dimensions
  are independent of each other, so check each one on its own. A failure in any one of them is
  a real defect and the reader will notice it.
- **Deep quality is judged against the human.** You can't measure it, only question it. Its
  aspects are tangled together. A break in flow is usually also a failure to anticipate the
  reader. So look for the **root cause** instead of listing five separate symptoms.
- **Deep quality depends on functional quality.** One inaccuracy or inconsistency spoils the
  whole experience. Never praise the flow of a piece that is wrong.
- **Recognise *what* is good, not only *that* it is good.** Name the specific moves that work
  so the author can repeat them.
- **Functional fixes are constraints to meet. Deep-quality fixes are inventions.** Suggest
  creative moves, like reordering, reframing, or anticipating a question, and not only
  corrections.

## Step 1: Establish the reader and their need

Before judging anything, state:

1. **Who is reading?** Their prior knowledge, context, and emotional state (anxious, rushed,
   curious, stuck).
2. **What do they need at this moment?** Place the material with the Diátaxis compass:

   | | Serves **action** (doing) | Serves **cognition** (knowing) |
   |---|---|---|
   | **Acquiring** (study) | Tutorial: a learning experience | Explanation: understanding, context, why |
   | **Applying** (work) | How-to guide: reaching a real goal | Reference: accurate facts to look up |

   For material that isn't documentation, such as a proposal, email, or essay, name the
   equivalent need. Examples: "decide whether to fund this" or "understand what changed and act".
3. **Is the material mixing modes?** Mixed modes are the most common structural cause of
   deep-quality failure.

If you can't tell who the reader is, say which reading you're assuming. If the answer would
change the review a lot, ask.

## Step 2: Functional quality (objective, check each dimension separately)

For each dimension, give findings with **location, evidence, and fix**:

- **Accuracy:** Does it match the thing it describes? Check the code, the product, and the
  facts where you can. If you can't verify a claim, mark it *unverified*. Don't guess.
- **Completeness:** Is anything the reader needs missing? Look for skipped steps, undefined
  terms, missing prerequisites, and unhandled cases.
- **Consistency:** Are terms, names, formatting, voice, and claims the same throughout?
- **Usefulness:** Does each part help this reader with this need? A piece can be accurate,
  complete, and consistent and still be useless.
- **Precision:** Is anything vague where the reader needs exact values, commands, or
  conditions? Is anything ambiguous?

**Use structure to expose hidden lapses.** Diátaxis can't supply functional quality, but it
can reveal where it's missing:

- Mentally move explanatory digressions out of task-focused sections. Where does the reader
  now have to work something out alone? That's a completeness gap the digression was hiding.
- For reference-like material, check whether its structure mirrors the structure of the
  subject. Gaps in the mirror are gaps in coverage.

## Step 3: Deep quality (subjective, judged by simulating the reader)

Read the piece **as the reader** from Step 1, in order, at their pace. Notice where you slow
down, get lost, feel talked down to, or stop trusting it. As with clothing, the body knows
whether something fits before the mind can say why. Then explain why.

Question each aspect, knowing they overlap:

- **Fitting human needs:** Does the form match the need? Is a learner handed a reference
  dump? Is a practitioner forced through a lecture? Are the arrangement, the relationships
  between parts, and the register right for each part?
- **Flow:** Does each step lead into the next in a way that feels right and unforced, and in
  step with what the reader cares about at that moment? Find the exact places where rhythm
  breaks: digressions, detours, backtracking, sudden jumps in difficulty, and walls of caveats
  before the point.
- **Anticipating the user:** Are questions answered just before the reader would ask them?
  Are likely mistakes headed off? Does the reader ever reach a fork with no guidance?
- **Feeling good to use:** Does the reader come away with confidence, momentum, and
  satisfaction? Or with friction, doubt, and effort?
- **Beauty:** Is the overall form clean and proportionate? Is there economy? Does anything
  feel bolted on?

Tie findings back to one or two root causes. Examples: "the piece is trying to be a tutorial
and a reference at once" or "it's organised around the author's mental model, not the
reader's task".

## Step 4: Report

Use this structure. Keep it tight and point to specific locations (quote a short phrase or
give a section/line).

Give every finding an ID: a letter for its kind and a number in order of appearance. The
letters are A Accuracy, M Completeness, C Consistency, U Usefulness, P Precision, and D Deep
quality, for example A1, C2, and D1. The user can then refer to findings by ID ("apply A1 and
C3"), and the dashboard uses the same IDs.

```
## Verdict
One or two sentences: does it have functional quality? Does it have deep quality? What is the
single biggest thing holding it back?

## Reader and need
Who, what state, which mode(s) it serves, and whether modes are mixed.

## Functional quality
Per dimension (skip clean ones, or say "no issues"): ID, location, problem, fix.
Mark unverified claims.

## Deep quality
A short account of the reading experience, followed by the root cause(s).
Then specific breaks: ID, location, what the reader experiences, why, and an inventive fix.

From atrnh/skills, MIT.

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From GitHub (fetched Oct 24, 2026).

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License
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First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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deep-quality-review skill. Agent Mart. https://agentmart.dev/skills/atrnh-deep-quality-review (last updated 2026-10-24)