Doc Generator Skill for Claude

Documentation Generator

**A document costs the sum of its readers' time. Earn that

cost or cut.**

Generate documents that are grounded in specific claims, lead

with their thesis, and earn every sentence. Filler phrases like

"In today's fast-paced world" and vague descriptors like

"thorough" or "complete" without evidence are bloat. So is

any sentence that does not carry, instance, bound, or repeat

the document's one takeaway.

This skill enforces both sentence-level cleanliness (no

slop vocabulary, em dash overuse, or sycophantic openers) and

document-level economy (thesis-first, every sentence

earns weight, repetition reserved for the thesis). See

Skill(scribe:slop-detector) module document-economy.md

for the full rubric.

When NOT To Use

• Converting an external file into markdown (use scribe:doc-importer)
• Scanning existing prose for AI patterns (use scribe:slop-detector)

Core Writing Principles

Use active voice and an authorial perspective. Explain the

reasoning behind technical choices (why this database, not

that one) rather than presenting neutral boilerplate. Use

bullets sparingly for short, parallel summaries. Convert

multi-line bullet waterfalls into prose so the reasoning

survives.

Vocabulary and Style

Avoid business jargon and linguistic tics like mirrored

sentence structures or em dash overuse. Use the imperative

mood for docstrings ("Validate input", not "Validates").

Do not humanize non-living constructs ("the code wants",

"the function speaks to").

| Instead of | Use |

|------------|-----|

| fallback | default, secondary |

| leverage | use |

| utilize | use |

| facilitate | help, enable |

| comprehensive | thorough, complete |

9. Limit Humanizing Constructs

"Lives under," "speaks to," and similar phrases only make sense

for living things.

10. Imperative Mood for Docstrings

"Validate" not "Validates" (per PEP 257, pydocstyle, ruff).

Required TodoWrite Items

• doc-generator:scope-defined - Target files and type identified
• doc-generator:style-loaded - Style profile applied (if available)
• doc-generator:content-drafted - Initial content created
• doc-generator:slop-scanned - AI markers checked
• doc-generator:quality-verified - Principles checklist passed
• doc-generator:user-approved - Final approval received

Mode: Generation

For new documentation:

Step 1: Define Scope

## Generation Request

**Type**: [README/Guide/API docs/Tutorial]
**Audience**: [developers/users/admins]
**Audience size**: [1 / small team / org / public]
**Read frequency**: [once / weekly / per-invocation]
**Thesis**: [one sentence the reader must walk away with]
**Length target**: [~X words or sections]
**Style profile**: [profile name or "default"]

The Thesis field is required. If you cannot state the

takeaway in one sentence, the scope is not ready. Audience

size and read frequency feed the reader-time budget (see

scribe:slop-detector module document-economy.md): a

skill loaded daily by 50 users has a wildly different

budget than a 1:1 design note.

Step 2: Load Style (if available)

If a style profile exists:

cat .scribe/style-profile.yaml

Apply voice, vocabulary, and structural guidelines.

Step 3: Draft Content

Lead with the thesis. The first paragraph must state the

single takeaway. If a reader stops after the lead, they should

still leave with the message. Echo the thesis once in the body

and once at the close. Cut every other repetition.

Follow the 10 core principles above. For each section:

• Start with the essential information (state the thesis or

a clear instance of it)

• Add context only if it adds value (does it carry, instance,

or bound the thesis?)

• Use specific examples (one is proof; two is emphasis;

three is filler)

• Prefer prose over bullets
• End when information is complete (no summary padding,

no "in conclusion" restatements)

Step 4: Run Slop Detector

Skill(scribe:slop-detector)

Fix any findings before proceeding.

Step 5: Quality Gate

Verify against checklist:

Sentence-level:

• [ ] No tier-1 slop words
• [ ] Em dash count < 3 per 1000 words
• [ ] Bullet ratio < 40%
• [ ] All claims grounded with specifics
• [ ] No formulaic openers or closers
• [ ] Authorial perspective present
• [ ] No emojis (unless explicitly requested)

Document-level (document-economy module):

• [ ] Thesis stated in the lead, single and clear (2/2)
• [ ] >80% of sentences carry, instance, bound, or repeat

the thesis (2/2)

• [ ] Thesis echoed at least 3 times; non-thesis repetition

cut (2/2)

• [ ] Writing time roughly proportional to (audience size ×

read frequency × per-read time)

Mode: Remediation

For cleaning up existing content:

Load: @modules/remediation-workflow.md

Step 1: Analyze Current State

# Get slop score
Skill(scribe:slop-detector) --target file.md

Step 2: Section-by-Section Approach

For large files (>200 lines), edit incrementally:

## Section: [Name] (Lines X-Y)

**Current slop score**: X.X
**Issues found**: [list]

**Proposed changes**:
1. [Change 1]
2. [Change 2]

**Before**:
> [current text]

**After**:
> [proposed text]

Proceed? [Y/n/edit]

Step 3: Preserve Intent

Never change WHAT is said, only HOW. If meaning is unclear, ask.

Step 4: Re-verify

After edits, re-run slop-detector to confirm improvement.

Docstring-Specific Rules

When editing code comments:

• ONLY modify docstring/comment text
• Never change surrounding code
• Use imperative mood ("Validate input" not "Validates input")
• Brief is better - remove filler
• Keep Args/Returns structure if present

Module Reference

• See modules/generation-guidelines.md for content creation patterns
• See modules/quality-gates.md for validation criteria

Integration with Other Skills

| Skill | When to Use |

|-------|-------------|

| slop-detector | After drafting, before approval |

| style-learner | Before generation to load profile |

| sanctum:doc-updates | For broader doc maintenance |

Exit Criteria

• Content created or remediated
• Slop score < 1.5 (clean rating)
• Quality gate checklist passed
• User approval received
• No emojis present (unless specified)