RE

review-docs

This tool evaluates documentation for clarity and accuracy through iterative improvement cycles.

Install

mkdir -p .claude/skills/review-docs && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5181" && unzip -o skill.zip -d .claude/skills/review-docs && rm skill.zip

Installs to .claude/skills/review-docs

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Review and improve documentation with parallel evaluation and iterative improvement loop.
89 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Evaluate documentation style and voice
  • Verify technical accuracy against source code
  • Track issues in a state file
  • Iteratively improve documentation

How it works

The skill uses parallel agents to evaluate style and content, tracks findings in a state file, and applies fixes iteratively until scores reach target levels.

Inputs & outputs

You give it
Documentation file to review
You get back
Improved documentation and evaluation report

When to use review-docs

  • Refine technical documentation
  • Check documentation for clarity
  • Improve project README files

About this skill

Review documentation

This skill runs an evaluation and improvement loop on a documentation file.

Target: $ARGUMENTS

Relevant skills: write-docs

Workflow overview

┌──────────────────────────────────────────────────────────────┐
│  INITIALIZE: Create state file to track issues               │
└──────────────────────────────────────────────────────────────┘
                              ↓
┌──────────────────────────────────────────────────────────────┐
│  EVALUATE (parallel)                                         │
│  ┌─────────────────────┐    ┌─────────────────────────────┐  │
│  │ Style Agent         │    │ Content Agent               │  │
│  │ (readability+voice) │    │ (completeness+accuracy)     │  │
│  └─────────────────────┘    └─────────────────────────────┘  │
└──────────────────────────────────────────────────────────────┘
                              ↓
┌──────────────────────────────────────────────────────────────┐
│  UPDATE STATE: Add new issues, verify fixed issues           │
└──────────────────────────────────────────────────────────────┘
                              ↓
┌──────────────────────────────────────────────────────────────┐
│  SUMMARIZE: Present findings, ask user for next step         │
└──────────────────────────────────────────────────────────────┘
                              ↓
           ┌──────────────────┼──────────────────┐
           ↓                  ↓                  ↓
    [User: improve]   [User: complete]    [User: done]
           ↓                  ↓                  ↓
┌──────────────────┐  ┌──────────────────┐    EXIT
│  IMPROVE         │  │  COMPLETE        │
│  (fix issues)    │  │  (fix all, exit) │
└──────────────────┘  └──────────────────┘
           ↓                  ↓
  LOOP → EVALUATE          EXIT

State file

Create a state file in the scratchpad directory to track all issues across rounds. This prevents re-discovering the same issues and allows verification of fixes.

Path: <scratchpad>/review-<filename>.md

Format:

# Review tracker: [filename]

## Issue tracker

Status values: `pending` | `fixed` | `verified-fixed` | `not-fixed` | `wont-fix`

| ID  | Issue         | Type                        | Status         | Round | Notes            |
| --- | ------------- | --------------------------- | -------------- | ----- | ---------------- |
| 1   | [description] | Style/Accuracy/Completeness | pending        | 1     | [details]        |
| 2   | [description] | Accuracy                    | verified-fixed | 1     | Fixed in round 1 |
| 3   | [description] | Completeness                | wont-fix       | 2     | Out of scope     |

## Round history

### Round 1

- Style: X/10, Voice: X/10, Completeness: X/10, Accuracy: X/10
- **Total: X/40**

Status definitions:

  • pending: Issue discovered, not yet addressed
  • fixed: Improvement agent claims to have fixed it, needs verification
  • verified-fixed: Evaluation confirmed the fix was applied correctly
  • not-fixed: Evaluation found the fix wasn't applied correctly
  • wont-fix: False alarm, out of scope, or intentional (e.g., completeness issues that require documentation expansion)

Step 1: Initial evaluation

For the first round, launch two subagents in parallel using the Task tool:

// Single message with two Task tool calls:
Task(subagent_type="general-purpose", model="opus", prompt="Style evaluation...")
Task(subagent_type="general-purpose", model="opus", prompt="Content evaluation...")

Style agent prompt (round 1)

Evaluate documentation style for: $ARGUMENTS

Read the shared guides relative to this skill directory, then read the target document:
1. `../../VOICE.md`
2. `../shared/docs-guide.md`
3. $ARGUMENTS

Score these dimensions (0-10):

READABILITY - How clear and easy to understand is the writing?
- Clear, direct sentences
- Logical flow between sections
- Appropriate use of code snippets and links
- No unnecessary jargon

VOICE - How well does it follow the writing guide?
- Confident assertions (no hedging)
- Active voice, present tense
- No AI writing tells (hollow importance, trailing gerunds, formulaic transitions)
- Appropriate tone (expert-to-developer)
- Sentence case headings

Important! Include as many high-priority fixes as needed.

Return in this exact format:

STYLE REPORT: [filename]

READABILITY: [score]/10
- [specific issue or strength]
- [specific issue or strength]

VOICE: [score]/10
- [specific issue or strength]
- [specific issue or strength]

PRIORITY FIXES:
1. [Most important style issue]
2. [Second most important]
3. [Third most important]
4. ...

Content agent prompt (round 1)

Evaluate documentation content for: $ARGUMENTS

Read $ARGUMENTS, then verify claims against the source code in packages/editor/ and packages/tldraw/.

Score these dimensions (0-10):

COMPLETENESS - How thorough is the coverage?
- Overview establishes purpose before mechanism
- Key concepts explained with enough depth
- Illustrative code snippets where needed
- Links to relevant examples in apps/examples (if applicable)

ACCURACY - Is the technical content correct?
- Code snippets are syntactically correct and use valid APIs
- API references match actual implementation
- Described behavior matches the code
- No outdated information

For accuracy issues, include file:line references to the source code.

Important! Include as many high-priority fixes as needed. Make sure that all accuracy issues are flagged.

Return in this exact format:

CONTENT REPORT: [filename]

COMPLETENESS: [score]/10
- [specific issue or strength]
- [specific issue or strength]

ACCURACY: [score]/10
- [specific issue with file:line reference if inaccurate]
- [specific issue or strength]

PRIORITY FIXES:
1. [Most important content issue]
2. [Second most important]
3. [Third most important]
4. ...

After round 1, create the state file with all discovered issues.

Step 2: Summarize and prompt user

After both agents return, synthesize their reports into a summary:

## Evaluation: [filename]

| Dimension    | Score | Key issue   |
| ------------ | ----- | ----------- |
| Readability  | X/10  | [one-liner] |
| Voice        | X/10  | [one-liner] |
| Completeness | X/10  | [one-liner] |
| Accuracy     | X/10  | [one-liner] |
| **Total**    | X/40  |             |

### Priority fixes

1. [Combined priority 1 from both reports]
2. [Combined priority 2]
3. [Combined priority 3]
4. [Combined priority 4]
5. [Combined priority 5]
6. ...

Then ask the user using AskUserQuestion:

  • Improve: Make improvements based on findings, then re-evaluate
  • Complete and finish: Fix all remaining issues and exit (no re-evaluation)
  • Done: Exit the loop without making changes

Step 3: Triage (before improvement)

Before running the improvement agent, review the pending issues with the user. Mark completeness issues that require adding new sections as wont-fix - these are documentation expansion, not review fixes.

Per AGENTS.md guidance:

"Do what has been asked; nothing more, nothing less." "Don't add features, refactor code, or make 'improvements' beyond what was asked."

The review skill improves existing content. Adding new sections is a separate task.

Step 4: Improve

Launch a single improvement agent targeting only pending issues:

Task(subagent_type="general-purpose", model="opus", prompt="Improve documentation...")

Improvement agent prompt

Improve documentation based on specific tracked issues: $ARGUMENTS

Fix ONLY these pending issues:

| ID | Issue | Type | Notes |
|----|-------|------|-------|
[paste pending issues from state file]

Instructions:
1. Read `../../VOICE.md` and `../shared/docs-guide.md` relative to this skill directory
2. Read $ARGUMENTS

3. For each accuracy fix:
   - Read the source file referenced in the notes
   - Verify the correct API/behavior from the source
   - Apply the fix based on what the source code actually shows

5. Apply style fixes

6. Run prettier: yarn prettier --write $ARGUMENTS

DO NOT:
- Add new sections
- Expand the document
- Fix issues not in the list above

Return a summary:

CHANGES MADE:

| ID | Fix applied | Verification |
|----|-------------|--------------|
| X | [description] | [source file:line checked] |
| Y | [description] | n/a |

After improvement, update the state file to mark issues as fixed.

Step 4b: Complete and finish (alternative to Step 4)

If the user selects "Complete and finish", fix all remaining pending issues without re-evaluating. This is useful when the evaluation is satisfactory and the user wants to apply fixes and move on.

Workflow:

  1. Run triage (same as Step 3) to mark out-of-scope items as wont-fix
  2. Launch the improvement agent (same prompt as Step 4)
  3. Update state file to mark issues as fixed
  4. Exit the loop - do not re-evaluate

This path trusts the improvement agent to apply fixes correctly and skips the verification cycle. Use when:

  • The issues are straightforward style fixes
  • Time is limited and re-evaluation isn't worth the cost
  • Scores are already acceptable and only minor polish remains

Step 5: Verification evaluation

For subsequent rounds, evaluation agents verify fixes AND find new issues:

Style agent prompt (verification)

Verify fixes and evaluate documentation: $ARGUMENTS

Read the state file first: [path to state file]

Then read the shared guides relative to this skill directory and the target document:
1. `../../VOICE.md`
2. `../shared/docs-guide.md`
3. $ARGUMENTS

Your job:
1. VERIFY fixes marked as "fixed" in the state file - confirm they were actually applied
2. Score style dimensions (do NOT re-flag wont-fix issues)
3. Flag only NEW issues not already in the state file

VERIFY THESE FIXES:
[paste fixed style issues from state file]

Return in this format:

VERIFICATION REPORT:

| ID | Status | Notes |
|----|--------|-------|
| X

---

*Content truncated.*

When not to use it

  • When adding new sections or expanding documentation scope

Limitations

  • Does not support adding new content sections
  • Requires manual user input to proceed through loops

How it compares

It uses a formal verification loop with state tracking rather than a single-pass review.

Compared to similar skills

review-docs side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
review-docs (this skill)13moNo flagsIntermediate
docs-write226moNo flagsBeginner
content-research-writer1510moNo flagsBeginner
doc-coauthoring168moNo flagsBeginner

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