plan-review

name	plan-review
description	Reviews implementation plans for quality, completeness, and actionability. Use after a plan is produced by the planner skill, before starting implementation. Use when evaluating a plan written by yourself, another agent, or a human.

Plan Review

Overview

Multi-dimensional plan review with quality gates. Every plan gets reviewed before implementation starts — no exceptions. Review covers six axes: completeness, task quality, architecture & sequencing, risk coverage, actionability, and proposed code quality.

The approval standard: Approve a plan when it is specific enough that a skilled implementer could execute it without guessing, the task ordering is sound, and risks are acknowledged. Perfect plans don't exist — the goal is confidence that implementation won't derail. Don't block a plan because it isn't exactly how you would have structured it. If it's executable and well-organized, approve it.

When to Use

• After the planner skill produces a plan
• Before starting implementation on any non-trivial task
• When reviewing a plan written by another agent or a human
• When a plan feels too large, vague, or risky to start

Do NOT use for: Single-file changes with obvious scope, or when the task is trivial enough to just do.

The Six-Axis Review

Every plan gets evaluated across these dimensions:

1. Completeness

Does the plan cover everything needed to implement successfully?

• Is the context clear? (What problem, why now, what's the goal?)
• Are affected modules identified with paths?
• Are architecture decisions documented with rationale?
• Is there a testing strategy?
• Are verification commands explicit (not "run the tests")?
• Are open questions listed (not buried in someone's head)?
• Is there a parallelization assessment for multi-task plans?

Missing any of these is a gap, not a nit.

2. Task Quality

Are the tasks well-defined and independently executable?

• Does every task have acceptance criteria? (Testable, not vague)
• Does every task have verification steps?
• Are tasks sized appropriately? (XS–M is ideal, L is acceptable, XL must be split)
• Are dependencies between tasks explicitly stated?
• Are files likely touched listed?
• Is each task a single, self-contained change? (Not "implement the whole feature")
• Could a skilled implementer pick up any task and execute it without asking clarifying questions?

3. Architecture & Sequencing

Is the plan structured so implementation flows correctly?

• Does implementation order follow the dependency graph (foundations first)?
• Are tasks vertically sliced (feature paths) rather than horizontally layered?
• Does each task leave the system in a working state?
• Are there checkpoints between major phases?
• Are high-risk tasks early (fail fast)?
• Is the total plan a reasonable number of tasks? (More than ~15 tasks suggests the scope should be split into multiple plans)

4. Risk Coverage

Are the hard parts acknowledged and mitigated?

• Are edge cases identified?
• Are breaking changes or migration concerns noted?
• Are security implications considered?
• Are performance implications considered?
• Are external dependencies or integration risks flagged?
• Is there a plan for rollback if something goes wrong?
• Are data integrity risks addressed (what happens if a migration fails mid-way)?

5. Actionability

Can an implementer actually execute this?

• Are file paths specific (not "update the relevant files")?
• Are function/method names mentioned where applicable?
• Are verification commands copy-pasteable (not "run the linter")?
• Are test commands project-specific (not generic)?
• Is the code shape described where the implementation isn't obvious?
• Are conventions referenced (naming, patterns, existing utilities to reuse)?
• Does the plan reference existing code the implementer should read first?

6. Proposed Code Quality (when the plan includes implementation details)

If the plan proposes code shapes, function signatures, data structures, or API designs, evaluate those proposals against code-review criteria:

• Correctness: Do the proposed types/signatures handle edge cases (null, empty, boundaries)?
• Readability: Are proposed names descriptive and consistent with project conventions?
• Architecture: Do proposed abstractions follow existing patterns? Are they justified (not over-engineered)?
• Security: Do proposed APIs validate input at boundaries? Any injection/XSS vectors in the design?
• Performance: Do proposed data structures avoid N+1 patterns? Any unbounded operations in the design?

When to apply: Only when the plan includes specific code snippets, type definitions, API contracts, or function signatures. Plans that only describe "what" without showing "how" skip this axis.

Structural Remedies

When you flag a structural problem in a plan, propose the fix — not just the problem:

• A task is too large (XL): Split it into vertical slices. Each slice should be independently testable.
• Missing acceptance criteria: Draft 2–3 specific, testable conditions for the task.
• Wrong sequencing: Identify the dependency and propose the correct order.
• No checkpoints: Suggest where checkpoints should go (typically after every 2–3 tasks).
• Vague verification: Replace "run tests" with the actual project command.
• Horizontal slicing: Restructure into vertical feature paths.
• Missing risk section: Draft the risks you can identify from the plan content.

Prefer the remedy that makes the plan immediately actionable over one that just flags the gap.

Plan Sizing

Plans should be scoped to a single deliverable:

1–5 tasks    → Good. A focused feature or bug fix.
6–10 tasks   → Acceptable for a moderate feature.
11–15 tasks  → Large. Consider splitting into phases.
15+ tasks    → Too large. Split into multiple plans.

What counts as "one plan": A self-contained set of changes that delivers a single coherent capability. If you can describe the goal in one sentence, it's one plan.

Categorize Findings

Label every comment with its severity so the author knows what's required vs optional:

Prefix	Meaning	Author Action
(no prefix)	Required change	Must address before implementation starts
Critical:	Blocks implementation	Missing security consideration, data integrity risk, fundamentally wrong approach
Nit:	Minor, optional	Author may ignore — wording, formatting
Optional: / Consider:	Suggestion	Worth considering but not required
FYI	Informational only	No action needed — context for future reference

Lead with what matters. Order findings by leverage: missing risks and wrong sequencing first, then task quality gaps, then completeness, then nits. If you have one critical sequencing problem and ten nits, the sequencing problem is the review.

Review Process

Step 1: Understand the Goal

Before evaluating structure, understand intent:

- What is this plan trying to accomplish?
- What problem does it solve?
- What does "done" look like?

Step 2: Check Completeness First

Scan for missing sections before diving into content:

- Context present?
- Affected modules listed?
- Architecture decisions documented?
- Risks acknowledged?
- Testing strategy defined?
- Verification commands explicit?

Step 3: Review Task Quality

Walk through each task:

For each task:
1. Can I tell exactly what to build?
2. Are acceptance criteria specific and testable?
3. Is the size reasonable (not XL)?
4. Are dependencies clear?
5. Would I know which files to touch?

Step 4: Validate Sequencing

Check the dependency graph:

- Are foundations built first?
- Does each task leave the system working?
- Are checkpoints placed correctly?
- Are high-risk items early?
- Is it vertically sliced?

Step 5: Assess Actionability

Put yourself in the implementer's shoes:

- Could I pick up task 1 and start coding without asking any questions?
- Are the verification commands copy-pasteable?
- Are file paths and function names specific?
- Is existing code referenced where I'd need to read it?

Step 6: Verify the Verification Story

Check that the plan can actually confirm it worked:

- What tests should pass after implementation?
- What build/compile commands are relevant?
- What manual checks are needed?
- How do we know the feature works end-to-end?

Step 7: Evaluate Proposed Code Quality (if applicable)

If the plan includes code snippets, types, or API designs:

- Load code-review skill for criteria
- Check proposed signatures for edge cases
- Verify naming follows project conventions
- Confirm abstractions follow existing patterns
- Scan for security vectors in proposed APIs
- Check for performance issues in proposed data structures

Review Checklist

## Review: [Plan title]

### Completeness
- [ ] Context explains the problem and goal
- [ ] Affected modules are listed with paths
- [ ] Architecture decisions have rationale
- [ ] Testing strategy is defined
- [ ] Verification commands are explicit and project-specific
- [ ] Open questions are listed

### Task Quality
- [ ] Every task has acceptance criteria
- [ ] Every task has verification steps
- [ ] Tasks are sized XS–M (L acceptable, XL must be split)
- [ ] Task dependencies are stated
- [ ] Files likely touched are listed

### Architecture & Sequencing
- [ ] Order follows dependency graph (foundations first)
- [ ] Vertically sliced (not horizontal layers)
- [ ] Each task leaves system working
- [ ] Checkpoints exist between phases
- [ ] High-risk tasks are early

### Risk Coverage
- [ ] Edge cases identified
- [ ] Breaking changes / migrations noted
- [ ] Security implications considered
- [ ] Performance implications considered
- [ ] Rollback strategy exists (if applicable)

### Actionability
- [ ] File paths are specific
- [ ] Verification commands are copy-pasteable
- [ ] Existing code to read is referenced
- [ ] Conventions and patterns are noted

### Proposed Code Quality *(if plan includes implementation details)*
- [ ] Proposed types/signatures handle edge cases
- [ ] Proposed names follow project conventions
- [ ] Proposed abstractions follow existing patterns
- [ ] No security vectors in proposed APIs
 [ ] No performance issues in proposed structures


 [ ]  — Ready to implement
 [ ]  — Gaps must be addressed

Common Rationalizations

Rationalization	Reality
"I'll figure out the details during implementation"	That's how you discover blocking dependencies mid-task. Surface them now.
"The tasks are obvious, no need for criteria"	Write them anyway. Explicit criteria surface hidden assumptions.
"It's just a small feature, it doesn't need a plan"	Small features have edge cases too. 3 tasks with criteria takes 5 minutes.
"The plan is good enough"	"Good enough" without acceptance criteria means the implementer defines "done" — and they might define it differently.
"I'll add verification steps later"	Later never comes. The plan is the contract — define verification now.
"Risks are minimal"	Every change has risks. If you can't name them, you haven't thought about them.
"The file paths are obvious"	They're obvious to the author. The implementer might not know the codebase.
"The code in the plan is fine, it'll get reviewed later"	Plan-level code review catches design problems before implementation — fixing them after coding is more expensive.

Red Flags

• No acceptance criteria on any task
• Tasks that say "implement the feature" without specifics
• No verification steps anywhere in the plan
• All tasks are XL-sized
• No checkpoints between phases
• Dependency order isn't considered (e.g., API handler before domain model)
• No testing strategy
• Verification commands are generic ("run tests") instead of project-specific
• Plan has 20+ tasks (scope too large for one plan)
• No risk section on a plan with migrations, breaking changes, or security implications
• Horizontal slicing (all domain, then all services, then all API)
• File paths are vague ("update the relevant files")
• Missing open questions section despite stated unknowns
• Proposed code ignores project conventions or existing patterns
• Proposed types use gratuitous any/unknown/optional without justification
• Proposed APIs don't validate input at boundaries

See Also

• For producing plans, use the planner skill
• For reviewing implemented code, use code-review — also the criteria source for axis 6
• For security-specific concerns, see security-and-hardening
• For testing strategy guidance, see testing