plan-review

name	plan-review
description	Use when reviewing a plan document for quality, completeness, and sprint-readiness — after plan-docs generation, when the user mentions plan review, review my plan, document review, or invokes /plan-review.

Plan Review

Dispatch parallel expert reviewer agents against a plan document to produce a scored analysis with prioritized recommendations and an enhanced plan.

When to Use

• User asks to review a plan, architecture doc, or execution plan
• After plan-docs skill generates a plan
• User mentions "plan review", "review my plan", "review this document"
• User invokes /plan-review

When NOT to Use

• Code review — use code-reviewer agents instead
• Single-page design docs without stories or infrastructure — overkill
• Non-plan documents (READMEs, changelogs, runbooks) — wrong tool

Persona Catalog

Agent	File	Weight	Focus
Cloud Architect	agents/cloud-architect-reviewer.md	1.0	Infrastructure, scalability, HA, ops readiness
Security Engineer	agents/security-engineer-reviewer.md	1.0	Security, threat modeling, testability
DX Engineer	agents/dx-engineer-reviewer.md	1.0	Clarity, actionability, software architecture
Cost/FinOps	agents/cost-finops-reviewer.md	0.7	Cost awareness, right-sizing, env tiering
Agile Coach	agents/agile-coach-reviewer.md	0.7	Sprint-readiness, story quality, dependencies

Dynamic Persona Selection

digraph persona_selection {
    rankdir=TB;
    node [shape=box];

    read [label="Read plan, extract keywords"];
    has_stories [label="Plan has stories?" shape=diamond];
    force_dx_ac [label="Force-include\nDX Engineer + Agile Coach"];
    count_triggers [label="Count trigger keyword\nmatches per agent"];
    enough [label="3+ agents selected?" shape=diamond];
    add_next [label="Add next-closest\nagent by trigger count"];
    announce [label="Announce selection\nto user with reasons"];

    read -> has_stories;
    has_stories -> force_dx_ac [label="yes"];
    has_stories -> count_triggers [label="no"];
    force_dx_ac -> count_triggers;
    count_triggers -> enough;
    enough -> announce [label="yes"];
    enough -> add_next [label="no"];
    add_next -> enough;
}

Selection rules:

• Always include DX Engineer + Agile Coach when plan contains stories
• Include any agent with 2+ trigger keyword matches
• Minimum 3 agents — backfill by trigger count if needed
• Announce which reviewers were selected and why before dispatching

Dispatch

Read each selected agent's markdown file from agents/ and scoring.md, then launch all agents in parallel using the Agent tool. See templates.md for the dispatch prompt structure.

Use subagent_type matching the agent name (e.g., dev-workflow:cloud-architect-reviewer) when available, otherwise general-purpose.

Collection & Scoring

After all agents return:

1. Parse grades — extract grade per evaluation point from each agent's output
2. Per-persona grade — average numeric grades (A=4, B=3, C=2, D=1, F=0), round using ranges in scoring.md
3. Composite score — weighted average using persona weights, convert to verdict per scoring.md thresholds
4. Classify recommendations — P0/P1/P2 per severity rules in scoring.md

Output

Write to review/<YYYY-MM-DD>-<topic-slug>/:

• analysis.md — scored evaluation with consolidated recommendations
• plan.md — enhanced version of original plan with feedback applied

See templates.md for output formats and enhanced plan rules.

User Review Gate

Do NOT proceed until the user explicitly confirms.

After writing output files, present the user with three options:

1. Apply as-is — replace original plan with enhanced plan.md
2. Apply with edits — user modifies plan.md first, re-read before applying
3. Skip — keep original plan unchanged

The user may also edit analysis.md, ask for changes to specific recommendations, or reject recommendations. Wait for explicit confirmation before overwriting anything.

Common Mistakes

Mistake	Fix
Dispatching all 5 agents for a simple app plan with no infra	Follow trigger keyword matching — skip Cloud Architect and Cost/FinOps if no infra keywords
Grading infra points F on a non-infrastructure plan	Only activated personas grade — don't penalize for out-of-scope concerns
Applying enhanced plan without user review	Always wait for Step 5 confirmation — never auto-apply
Repeating scoring logic instead of referencing scoring.md	All grade math lives in scoring.md — reference it, don't inline it
Generating plan.md in different format than original	HTML in → HTML out, markdown in → markdown out
Softening grades because the user is under time pressure	Grade what the plan SAYS — missing info is F regardless of deadline
Giving partial credit for implied or assumed information	Grade only what is explicitly documented — "they probably meant X" is not in the plan