Document Review
SkillDocs & knowledgeThis gives your AI the ability to review planning documents like requirements, plans, and specs and improve them. It examines a document from multiple expert viewpoints and applies the suggested fixes. Use it when you want to strengthen a document you have already written.
Available today. Use it from your connected AI after setup.
No other account needed.
Add the skill, then share the requirements, plan, or spec you want improved and ask your AI to review it. It will return feedback from each viewpoint and apply the fixes it suggests.
Then ask your AI: use the Document Review skill
What your AI can do with it
- Review requirements, plans, or specs for improvements
- Evaluate a document from multiple expert viewpoints
- Give role-specific feedback on planning documents
- Apply the suggested fixes to your document
What this skill tells your AI
The instructions your AI receives, as published by everyinc/compound-engineering-plugin in skills/ce-doc-review/SKILL.md and read by ahel’s review.
Help the author finish a sound document they can use to carry out the agreed work. Find problems that would change that work's outcome or materially hinder execution, and resolve them within the authority already given. Judge the document by whether it guides correct work, not by how much detail it contains. Serious consequences warrant attention even when the defect is small. An adequate document needs no changes.
Reviewer personas supply evidence; the judgment is yours. Check their claims against the whole document, project facts, and settled decisions. Correct proven errors that prevent an existing decision from being carried out, within the edit authority and reviewer requirements the synthesis reference states. Return only worthwhile improvements still needing permission, consequential choices or essential information only the user can supply, and useful observations.
Done when: every selected reviewer has returned or is named as failed in Coverage, retained findings have a verified consequence for the agreed work, and every authorized correction assigned to Apply has been made and checked. Report that final state through the interactive approval or decision process, or return it as structured text in non-interactive mode.
Interactive mode rules
Read references/modes.md before anything else. It defines how the mode is detected, the non-interactive argument contract, and the question-tool rules: match the host's blocking question tool already in the current tool list (never call a user-facing question tool to discover it), pre-load it at the top of the interactive flow if it is listed but unloaded, and fall back to a numbered list only when the harness genuinely lacks one.
Either way, a question that calls for a user decision calls the tool or falls back loudly. Narrating it as plain text is a bug.
Artifact Root
Resolve <root> only in the no-path interactive branch, which discovers the most recent plan under <root>/plans/. Every other run reads the document at the path it was handed. So an absolute-path or non-interactive review — /tmp/plan.md, possibly outside any repo — never depends on a repo root or a CE config it does not need.
Resolve the CE artifact root <root> before composing any artifact path.
- Read
docs_rootfrom<repo-root>/.compound-engineering/config.yamlonly (<repo-root>=git rev-parse --show-toplevel). Do not read it fromconfig.local.yaml. Unset -><root>isdocs, exactly as before. - Validate a set value: a repo-relative directory whose real, symlink-resolved path stays inside the repo and is neither the repo root nor under
.git/. Otherwise stop with an error namingdocs_rootand the value -- never fall back todocs. - Use
<root>as the sole artifact location: create it if absent, compose each path as<root>/<subdir>with this skill's own subdirectory, and never also readdocs.
Phase 1: Get and Analyze Document
Read references/document-intake.md now. It covers how the document is obtained in each mode, what to do and say when no document is found, and the classification signals.
Two of its rules apply to every later step.
Verify before any dispatch. Every resolved path must be readable on disk. If one is not, dispatch no personas: reviewers read from the filesystem, so they cannot reach a path that exists only on an unchecked-out branch (issue #925).
Classify by content, not readiness labels or file path. A unified artifact with only a Product Contract is unified-requirements; missing implementation sections are expected. Any implementation planning makes it unified-plan, including incomplete or blocked planning that needs review. Other artifacts use the legacy requirements / plan split.
HTML unified artifacts take the same routes. Every fix lands in the document's native format; never insert markdown into HTML. That reference covers ID-bearing items. Pass the classification to each persona in the {document_type} slot.
Phase 2: Announce and Dispatch Personas
Skip dispatch only when the completed-review reuse condition in references/document-intake.md passes; continue with that evidence at Phase 3.
Read references/persona-selection.md for each conditional persona's activation signals and the announcement format. Two of those signals over-activate on plausible evidence: the sensitive-data bound on security-lens-reviewer, and the challenge-surface bar on adversarial-document-reviewer. Then read references/dispatch.md for payload variables, slicing, model tiering, and reviewer-failure handling.
The team is coherence-reviewer and feasibility-reviewer always, plus each activated conditional persona. Announce the team with a per-persona justification before any dispatch.
Dispatch generic subagents with bounded parallelism through the platform's subagent primitive. Seed each one with the full content of its references/personas/<reviewer-name>.md. Never dispatch a standalone agent by type or name.
A capacity rejection is backpressure, not reviewer failure: wait and retry. If capacity cannot recover and selected reviewers remain undispatched, collect and clean up any started cross-model jobs as references/cross-model-review.md describes, then stop as incomplete without synthesis, fixes, or a success handoff. Preserve collected outcomes and report which reviewers completed, failed, or could not run, and why.
Cross-Model Judgment Pass
Run this pass if any of the conditional judgment trio was activated: adversarial-document-reviewer, product-lens-reviewer, security-lens-reviewer. Follow references/cross-model-review.md, which defines the whole pass: confirming the host, the one target and route used for the whole document, the disclosure before anything leaves the machine, and how peers are launched, collected, and folded in.
The pass is additive and non-blocking: a failure or timeout stops nothing and is named in Coverage. The checkout's cross_model_review_mode setting is checked first and can skip the pass with a named reason. Filter recipients only when CROSS_MODEL_PEERS is set — unset means unfiltered, not unsanctioned. Never silently change an explicit model or recipient.
Phases 3-5: Synthesis, Presentation, and Next Action
Wait until every dispatched agent has returned, including any cross-model <reviewer-name>-<provider>.json returns. Then read references/synthesis-and-presentation.md. It defines synthesis, how each finding is routed by confidence and fix class, fix application, the non-interactive result format, and the handoff to the routing question. When promoting agreement, only an artifact with independence_verified: true counts as an independent reviewer.
Interactive mode only. Read references/walkthrough.md for the grouped confirmation, the routing question, and the per-finding walk-through. Read references/bulk-preview.md for the bulk-action preview behind best-judgment routing, Append-to-Open-Questions, and auto-resolve. Load neither before review evidence is complete, whether newly collected or validly reused, and a non-interactive run never loads them at all — it stops at the structured review result.
Read only the persona prompts the current review selected. The template and schema the dispatch payload fills:
@./references/subagent-template.md
@./references/findings-schema.json
Signals
- GitHub stars
- 25k
- Forks
- 2k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
ce-doc-review- Source
- github.com/everyinc/compound-engineering-plugin