Skillquality 0.46

document-review

>-

Price
free
Protocol
skill
Verified
no

What it does

Document Review

Improve brainstorm or plan documents through structured review.

Step 1: Get the Document

If a document path is provided: Read it, then proceed to Step 2.

If no document is specified: Ask which document to review, or look for the most recent brainstorm/plan in docs/brainstorms/ or docs/plans/.

Step 2: Assess

Read through the document and ask:

  • What is unclear?
  • What is unnecessary?
  • What decision is being avoided?
  • What assumptions are unstated?
  • Where could scope accidentally expand?
  • Is this technically feasible with the current architecture?
  • Are there security implications in what's proposed?

These questions surface issues. Don't fix yet--just note what you find.

Step 3: Activate Review Lenses

Based on the document's content, activate specialized review perspectives. Scan for signals and apply matching lenses:

LensSignalsWhat it checks
ProductUser-facing features, customer language, market claims, scope decisionsProblem framing, value proposition clarity, whether scope matches stated goals
DesignUI/UX references, user flows, wireframes, interaction descriptionsFlow completeness, interaction gaps, accessibility considerations
SecurityAuth/authorization, API endpoints, PII, payments, tokens, encryptionAuth model gaps, data exposure risks, missing threat considerations
Scope guardianMultiple priority tiers (P0/P1/P2), large requirement count (>8), stretch goalsScope creep, premature abstractions, features disguised as requirements
Adversarial>5 distinct requirements, explicit architectural decisions, high-stakes domainsUnstated assumptions, optimistic estimates, single points of failure, missing failure modes

Activate a lens when ANY of its signals match. Most documents trigger 1-2 lenses; brainstorm notes may trigger none. When a lens is active, weave its checks into the assessment and evaluation steps rather than running it as a separate pass.

Step 4: Evaluate

Score the document against these criteria:

CriterionWhat to Check
ClarityProblem statement is clear, no vague language ("probably," "consider," "try to")
CompletenessRequired sections present, constraints stated, open questions flagged
SpecificityConcrete enough for next step (brainstorm → can plan, plan → can implement)
YAGNINo hypothetical features, simplest approach chosen

If invoked within a workflow (after /ia-brainstorm or /ia-plan), also check:

  • User intent fidelity -- Document reflects what was discussed, assumptions validated

Step 5: Identify the Critical Improvement

Among everything found in Steps 2-4, does one issue stand out? If something would significantly improve the document's quality, this is the "must address" item. Highlight it prominently.

Step 6: Make Changes

Present your findings, then:

  1. Auto-fix minor issues (vague language, formatting) without asking
  2. Ask approval before substantive changes (restructuring, removing sections, changing meaning)
  3. Update the document inline--no separate files, no metadata sections

Simplification Guidance

Simplification is purposeful removal of unnecessary complexity, not shortening for its own sake.

Simplify when:

  • Content serves hypothetical future needs, not current ones
  • Sections repeat information already covered elsewhere
  • Detail exceeds what's needed to take the next step
  • Abstractions or structure add overhead without clarity

Don't simplify:

  • Constraints or edge cases that affect implementation
  • Rationale that explains why alternatives were rejected
  • Open questions that need resolution

Step 7: Reader Test (Optional)

For standalone documents that must be self-contained (onboarding guides, ADRs, external-facing docs), dispatch a zero-context sub-agent to simulate a first-time reader. The sub-agent has no conversation history — it sees only what a future reader would see.

How to run the test:

  1. Predict 5-10 reader questions from the document's stated goals — one per major section or decision. Mix three kinds:
    • Concrete retrieval: "What command sets up the dev environment?"
    • Decision rationale: "Why did we pick X over Y?"
    • Ambiguity probe: "Could a reader interpret <specific phrase> in more than one way?"
  2. Dispatch a fresh sub-agent with the document attached and the questions. No prior context, no session history.
  3. Compare the sub-agent's answers against author intent. Also ask the sub-agent directly: "What feels ambiguous? What prior knowledge does this assume? Are there internal contradictions?"

Interpret results:

  • Correct, confident answers → document is self-contained for that question.
  • Wrong answer with high confidence → document actively misleads. Highest-priority fix.
  • Hedged or "insufficient information" → the document has a gap the author didn't notice. Fill it.
  • Sub-agent flags ambiguity the author didn't intend → reword for precision.

Skip for context-dependent docs (brainstorm notes, plan files, internal working docs) where the reader will always have prior context. The sub-agent test only adds value when the real reader has no other channel.

Step 8: Offer Next Action

After changes are complete, ask:

  1. Refine again - Another review pass
  2. Review complete - Document is ready

Iteration Guidance

After 2 refinement passes, recommend completion--diminishing returns are likely. If the user wants to continue, allow up to 4 passes total. After 4, stop and report "review converged -- further changes require new direction." Do not continue past 4 even on user request without a fresh framing.

Return control to the caller (workflow or user) after selection.

Constraints

  • Fix targeted sections, don't rewrite the whole document. If the structure is fundamentally broken, surface the structural problem and ask for permission to restructure.
  • Flag missing sections in your review, but don't add them. The user decides what to include.
  • Keep changes minimal. If a paragraph needs tightening, tighten it. Don't expand scope.
  • Review inline. No separate review files or metadata sections.

Success Criteria

  • Document read and scored on all four quality criteria
  • Relevant review lenses activated and checks applied
  • Critical improvements identified with specific suggestions
  • User presented with clear next-action choice (refine or complete)
  • Revised document saved if changes were approved

Capabilities

skillsource-iliaalskill-document-reviewtopic-agent-skillstopic-ai-coding-assistanttopic-ai-toolstopic-claude-codetopic-skills

Install

Installnpx skills add iliaal/ai-skills
Transportskills-sh
Protocolskill

Quality

0.46/ 1.00

deterministic score 0.46 from registry signals: · indexed on github topic:agent-skills · 13 github stars · SKILL.md body (6,618 chars)

Provenance

Indexed fromgithub
Enriched2026-05-18 19:07:01Z · deterministic:skill-github:v1 · v1
First seen2026-05-09
Last seen2026-05-18

Agent access