iterative-review
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- Engineering
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- 88 / 100 · community maintained
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- @tomevault-io · no license declared
- Token usage
- Moderate
- Setup complexity
- Guided setup
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
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- Read-only
- Write / modify
- Shell exec
- Network behavior
- External requests
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: iterative-review
description: Plan → code → review → re-code feedback loop with persistent state across iterations. Spawns the…
category: engineering
runtime: no special runtime
---
# iterative-review output preview
## PART A: Task fit
- Use case: Plan → code → review → re-code feedback loop with persistent state across iterations. Spawns the review-coordinator, tracks findings across pushes, dedupes against prior iterations, and respects user "won't fix" decisions Use when this capability is needed..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Usage / State Files / Process” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Plan → code → review → re-code feedback loop with persistent state across iterations. Spawns the review-coordinator, tracks findings across pushes, dedupes against prior iterations, and respects user "won't fix" decisions Use when this capability is needed.”.
- **02** When the source has headings, the agent prioritizes “Usage / State Files / Process” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; may access external network resources; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source mentions slash commands such as `/team`, `/iterative-review`, `/develop`, `/factory`; use them first when your agent supports command triggers.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “Usage / State Files / Process”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: iterative-review
description: Plan → code → review → re-code feedback loop with persistent state across iterations. Spawns the…
category: engineering
source: tomevault-io/skills-registry
---
# iterative-review
## When to use
- Plan → code → review → re-code feedback loop with persistent state across iterations. Spawns the review-coordinator, t…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Usage / State Files / Process” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "iterative-review" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Usage / State Files / Process
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files, run shell commands | may access external network resources
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Iterative Review — The Feedback Loop
A sustained plan/code/review/re-code cycle on the current branch. Each pass:
- Plans (or replans) the change
- Implements the plan
- Spawns
review-coordinatorto synthesize parallel reviewer findings - Persists findings to
.claude/state/review-state-<branch>.json(append-only) - On the next pass, the coordinator sees prior findings and tracks fixed/unfixed/won't-fix
This is the framework's primary inner loop for non-trivial work. Use /team review for one-shot reviews; use /iterative-review when you expect multiple iterations.
Usage
/iterative-review — start or continue the loop on the current branch
/iterative-review --plan-only — produce/refresh the plan; do not implement or review
/iterative-review --review-only — skip planning + coding; just spawn coordinator
/iterative-review --reset — discard state for this branch and start fresh
/iterative-review --override [reason] — break glass; force APPROVE without review (tracked)
Break-glass override. For hotfixes when a real review would block a critical merge, --override tells review-coordinator to skip Steps 2–6, write a single APPROVE iteration to state with "override": "break-glass", and exit. The override is tracked in review-state-<branch>.json for retrospective analysis. The next iteration without --override runs the full review normally.
Equivalent: a comment containing break glass in the user's prompt to the skill triggers the same path. Use sparingly; review-coordinator's verdict rubric already biases toward APPROVE for legitimate cases.
State Files
All state lives in .claude/state/ (gitignored). Per branch:
| File | Purpose | Lifecycle |
|---|---|---|
plan-<branch>.md |
The current implementation plan | Rewritten on --plan-only |
review-context-<branch>.md |
Shared context every sub-reviewer reads | Rewritten by coordinator each iteration |
review-state-<branch>.json |
Append-only findings history | Coordinator appends, never rewrites |
Branch names with / are sanitized to - for filenames (e.g., feature/auth → feature-auth).
Process
Phase 1: Plan
If .claude/state/plan-<branch>.md doesn't exist, or --plan-only was passed:
- Read the ticket / user intent from the conversation context
- Spawn the
architectagent with prompt: "Produce an implementation plan for the current task. Identify changed surfaces, risks, and the minimum coherent scope. Output in markdown with sections: Goal, Changes, Risks, Out-of-scope." - Write architect's output to
.claude/state/plan-<branch>.md - Show the plan to the user. If
--plan-only, exit here.
If the plan exists and --plan-only was not passed, read and reuse it. The plan stays stable across iterations unless the user explicitly refreshes.
Phase 2: Implement
Make the changes per the plan. This phase runs as the main agent (you), not a sub-agent — the user sees code as it lands.
Apply project rules from .claude/rules/ automatically. Run {{TEST_COMMAND}} and {{FORMAT_COMMAND}} as you go.
If --review-only, skip this phase.
Phase 3: Review (Coordinator)
Spawn the review-coordinator agent:
Spawn review-coordinator on the current branch. It will:
- classify the diff into trivial/lite/full
- select sub-reviewers
- spawn them in parallel
- read prior state from .claude/state/review-state-<branch>.json
- merge, dedup, filter their findings
- append to state and render the consolidated report
The coordinator handles all sub-agent orchestration — do not spawn individual reviewers from this skill.
Phase 4: Surface Verdict and Next Action
Read the coordinator's report. Show the user:
- Tier and agents used (so they know what was checked)
- Findings grouped by severity (collapsed for nits)
- Verdict (APPROVE / APPROVE_WITH_NOTES / REQUEST_CHANGES / NEEDS_DISCUSSION)
- Suggested next action:
REQUEST_CHANGES→ "Run/iterative-reviewagain after addressing critical findings"APPROVE_WITH_NOTES→ "Optional improvements remain; run/iterative-reviewagain or proceed to commit"APPROVE→ "Ready to commit"NEEDS_DISCUSSION→ list the disputed findings with developer pushback
Phase 5: Iterate
When the user runs /iterative-review again after making changes:
- Coordinator reads prior
review-state-<branch>.json - Findings that no longer reproduce → marked
fixed, shown in "Resolved" section - Findings still present → carried forward
- New issues introduced by the fixes → flagged as new
The state file is append-only, so iteration history is preserved (useful for PR retrospectives).
Caching-Friendly Prompt Shape
Sub-reviewers and the coordinator are given prompts that follow this order to maximize prompt cache hit rate:
- System rules (stable across all runs)
CLAUDE.md/AGENTS.mdexcerpts (stable across iterations on this repo)review-context-<branch>.md(stable across all sub-agents within one iteration)- Prior findings state (stable per iteration)
- Current diff or specific question (most volatile, last)
Volatile data (timestamps, current SHA, random IDs) is always at the end. Never embed Date.now() or similar in the static prefix.
Marking a Finding "Won't Fix"
When the user disagrees with a finding, two ways to record it:
Option A — In the state file (recommended, machine-readable):
Edit .claude/state/review-state-<branch>.json and add to the top-level user_decisions map:
"user_decisions": {
"src/auth.ts:42:auth-security:fail-open": {
"status": "wont_fix",
"reason": "Behind feature flag, not yet enabled in any environment"
}
}
Option B — Tell the assistant in conversation, and ask it to update the state file. The coordinator respects these on the next iteration and does not re-raise unless severity is critical.
Edge Cases
| Scenario | Behavior |
|---|---|
| No diff against base branch | "Nothing to review" — exit without spawning agents |
| Coordinator fails | Show the partial output; user can retry |
.claude/state/ is in gitignore but doesn't exist |
Create it; warn if .gitignore doesn't list .claude/state/ |
| User switches branches mid-loop | New branch gets its own state file; old state stays put |
Plan in plan-<branch>.md is stale (e.g., user pivoted) |
User runs --plan-only to regenerate |
| State file grows large (many iterations) | Coordinator only loads the most recent iteration's findings + user_decisions for matching; full history is preserved but not parsed every time |
Related
review-coordinatoragent — the synthesizer this skill orchestrates (templates/agents/review-coordinator.md)docs/finding-schema.md— finding schema every sub-reviewer emits/team review— one-shot multi-agent review without state/develop— the broader dev cycle (fetch ticket → implement → validate → PR); use/iterative-reviewwithin/developfor tight loops/factory— end-to-end pipeline; calls/iterative-reviewautomatically when more than one review pass is expected
Source: BostonOrange/claude-code-framework — distributed by TomeVault.
Decide Fit First
Design Intent
How To Use It
Boundaries And Review