Claude
Skills
Sign in
Back

ce-doc-review

Included with Lifetime
$97 forever

Review requirements or plan documents using parallel persona agents that surface role-specific issues. Use when a requirements document or plan document exists and the user wants to improve it.

Writing & Docs

What this skill does


# Document Review

Review requirements or plan documents through multi-persona analysis. Dispatches specialized reviewer agents in parallel, auto-applies `safe_auto` fixes, and routes remaining findings through a four-option interaction (per-finding walk-through, auto-resolve with best judgment, Append-to-Open-Questions, Report-only) for user decision.

## Interactive mode rules

- **Pre-load the platform question tool before any question fires.** In Claude Code, `AskUserQuestion` is a deferred tool — its schema is not available at session start. At the start of Interactive-mode work (before the routing question, per-finding walk-through questions, bulk-preview Proceed/Cancel, and Phase 5 terminal question), call `ToolSearch` with query `select:AskUserQuestion` to load the schema. Load it once, eagerly, at the top of the Interactive flow — do not wait for the first question site. On Codex, Gemini, and Pi this preload is not required.
- **The numbered-list fallback applies only when the harness genuinely lacks a blocking question tool** — `ToolSearch` returns no match, the tool call explicitly fails, or the runtime mode does not expose it (e.g., Codex edit modes where `request_user_input` is unavailable). A pending schema load is not a fallback trigger; call `ToolSearch` first per the pre-load rule. In genuine-fallback cases, present options as a numbered list and wait for the user's reply — never silently skip the question. Rendering a question as narrative text because the tool feels inconvenient, because the model is in report-formatting mode, or because the instruction was buried in a long skill is a bug. A question that calls for a user decision must either fire the tool or fall back loudly.

## Phase 0: Detect Mode

Check the skill arguments for `mode:headless`. Arguments may contain a document path, `mode:headless`, or both. Tokens starting with `mode:` are flags, not file paths — strip them from the arguments and use the remaining token (if any) as the document path for Phase 1.

If `mode:headless` is present, set **headless mode** for the rest of the workflow.

**Headless mode** changes the interaction model, not the classification boundaries. ce-doc-review still applies the same judgment about which tier each finding belongs in. The only difference is how non-safe_auto findings are delivered:

- `safe_auto` fixes are applied silently (same as interactive)
- `gated_auto`, `manual`, and FYI findings are returned as structured text for the caller to handle — no blocking-question prompts, no interactive routing
- Phase 5 returns immediately with "Review complete" (no routing question, no terminal question)

The caller receives findings with their original classifications intact and decides what to do with them.

Callers invoke headless mode by including `mode:headless` in the skill arguments, e.g.:

```
Skill("ce-doc-review", "mode:headless docs/plans/my-plan.md")
```

If `mode:headless` is not present, the skill runs in its default interactive mode with the routing question, walk-through, and bulk-preview behaviors documented in `references/walkthrough.md` and `references/bulk-preview.md`.

## Phase 1: Get and Analyze Document

**If a document path is provided:** Read it, then proceed.

**If no document is specified (interactive mode):** Ask which document to review, or find the most recent in `docs/brainstorms/` or `docs/plans/` using a file-search/glob tool (e.g., Glob in Claude Code).

**If no document is specified (headless mode):** Output "Review failed: headless mode requires a document path. Re-invoke with: Skill(\"ce-doc-review\", \"mode:headless <path>\")" without dispatching agents.

### Classify Document Type

Classify the document by reading its **content shape**, not its file path. Path is a tie-breaker hint, not the primary signal — a brainstorm-style doc placed under `docs/plans/` should still classify as `requirements`, and a plan-shaped doc under `docs/brainstorms/` should still classify as `plan`. The reviewers below operate differently depending on this classification, so misclassifying a plan-shaped doc as a requirements doc (or vice versa) produces noisy or under-scrutinized findings.

Use these signals to decide:

**`requirements` signals (what-to-build documents):**
- Frontmatter fields like `actors:`, `flows:`, `acceptance_examples:`, or `status:` carrying brainstorm-shaped values
- Section headings such as `Acceptance Examples`, `Actors`, `Key Flows`, `User Flows`, `Outstanding Questions`, `Resolve Before Planning`
- Numbered identifiers in the form `R1`, `R2`, `A1`, `F1`, `AE1` — requirement, actor, flow, and acceptance-example IDs
- Prose framing focused on user/business problem, behavior, scope boundaries, success criteria
- No implementation units, no per-unit file lists, no test scenarios attached to units

**`plan` signals (how-to-build documents):**
- Frontmatter fields like `type: feat|fix|refactor`, `origin: docs/brainstorms/...`
- Section headings such as `Implementation Units`, `Output Structure`, `Key Technical Decisions`, `Risks & Dependencies`, `System-Wide Impact`
- Numbered identifiers in the form `U1`, `U2` — implementation unit IDs
- Per-unit fields named `Goal`, `Files`, `Approach`, `Test scenarios`, `Verification`
- Repo-relative file paths to create/modify/test
- Prose framing focused on technical decisions, sequencing, and implementer-facing detail

**Tie-breaker rule.** When the content signals are mixed or sparse, fall back to path: `docs/brainstorms/` → `requirements`, `docs/plans/` → `plan`. When neither path location applies, treat the dominant content shape as authoritative; if shape is genuinely ambiguous, default to `requirements` (the more conservative classification — it activates fewer plan-specific feasibility checks).

Pass the classification result to each persona via the `{document_type}` slot in the subagent template. Personas read this and adapt their analysis accordingly.

### Select Conditional Personas

Analyze the document content to determine which conditional personas to activate. Check for these signals:

**product-lens** -- activate when the document makes challengeable claims about what to build and why, or when the proposed work carries strategic weight beyond the immediate problem. The system's users may be end users, developers, operators, maintainers, or any other audience -- the criteria are domain-agnostic. Check for either leg:

*Leg 1 — Premise claims:* The document stakes a position on what to build or why that a knowledgeable stakeholder could reasonably challenge -- not merely describing a task or restating known requirements:
- Problem framing where the stated need is non-obvious or debatable, not self-evident from existing context
- Solution selection where alternatives plausibly exist (implicit or explicit)
- Prioritization decisions that explicitly rank what gets built vs deferred
- Goal statements that predict specific user outcomes, not just restate constraints or describe deliverables

*Leg 2 — Strategic weight:* The proposed work could affect system trajectory, user perception, or competitive positioning, even if the premise is sound:
- Changes that shape how the system is perceived or what it becomes known for
- Complexity or simplicity bets that affect adoption, onboarding, or cognitive load
- Work that opens or closes future directions (path dependencies, architectural commitments)
- Opportunity cost implications -- building this means not building something else

**design-lens** -- activate when the document contains:
- UI/UX references, frontend components, or visual design language
- User flows, wireframes, screen/page/view mentions
- Interaction descriptions (forms, buttons, navigation, modals)
- References to responsive behavior or accessibility

**security-lens** -- activate when the document contains:
- Auth/authorization mentions, login flows, session management
- API endpoints exposed to external clients
- Data handling, PII, payments, tok

Related in Writing & Docs