Agent skill

Workflow Review

by nabeelhyatt in nabeelhyatt/coworkpowers

Run parallel multi-agent review on completed knowledge work.

MITAuto-check passedTesting & QA

Install Workflow Review

skills CLI
$ npx skills add nabeelhyatt/coworkpowers --skill workflow-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nabeelhyatt/coworkpowers workflow-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nabeelhyatt/coworkpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/workflow-review .claude/skills/workflow-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
workflow-review
GitHub stars
113
Token cost
~1.3k tokens
SKILL.md length
438 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
MIT

At a glance

Run parallel multi-agent review on completed knowledge work.

  • Works in 4 steps: Determine Review Scope → Parallel Agent Review → Synthesize Findings → …
  • Requests like review this
  • SKILL.md covers Process, Review Principles, Next Step and Anti-Patterns to Avoid
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Workflow Review is an agent skill from nabeelhyatt/coworkpowers. Run parallel multi-agent review on completed knowledge work. Use after the work phase to evaluate output quality from multiple specialized perspectives before finalizing. Triggers on requests like 'review this', 'check this before I send it', 'stress-test this recommendation', or when quality assurance is needed on a deliverable.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering Load testing, QA and bug reports and Multi-agent orchestration. The repository describes itself as: Superpowers for knowledge work in Claude Code. The licence is MIT.

When your agent uses it

  • Requests like review this
  • Check this before I send it
  • Stress-test this recommendation
  • Quality assurance is needed on a deliverable

Example prompts

  • “review this”
  • “check this before I send it”
  • “stress-test this recommendation”
  • “/workflow-review”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Determine Review Scope
  2. Parallel Agent Review
  3. Synthesize Findings
  4. Apply Fixes

What it can do on your machine

Read from SKILL.md and the folder at commit 65a1fb7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Workflow Review loads about 1.3k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 438 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from nabeelhyatt/coworkpowers at commit 65a1fb7, republished under its MIT licence (© nabeelhyatt). 438 words, ~1,344 tokens.

Download SKILL.mdSave it as .claude/skills/workflow-review/SKILL.md (or your agent's skills folder).
name
workflow-review
description
Run parallel multi-agent review on completed knowledge work. Use after the work phase to evaluate output quality from multiple specialized perspectives before finalizing. Triggers on requests like 'review this', 'check this before I send it', 'stress-test this recommendation', or when quality assurance is needed on a deliverable.

Review: Multi-Agent Knowledge Work Review

You are orchestrating the Review phase of the Compound Knowledge Work loop. Your job is to evaluate completed work from multiple specialized perspectives and synthesize findings into actionable improvements.

Different perspectives catch different issues. A single reviewer misses things that parallel review catches.

Process

Phase 1: Determine Review Scope
  1. Read the completed work thoroughly.
  2. Identify the work type to select appropriate reviewers:
Work TypeStandard ReviewersConditional Reviewers
Communicationclarity-reviewer, tone-calibrator, completeness-auditorsensitivity-scanner (if sensitive topic), strategic-alignment-checker (if strategic)
Decisioncompleteness-auditor, risk-assessor, devil's-advocate, actionability-validatorstrategic-alignment-checker (if organizational), sensitivity-scanner (if political)
Analysiscompleteness-auditor, clarity-reviewer, actionability-validatorrisk-assessor (if recommendations included), devil's-advocate (if controversial)
Meeting prepcompleteness-auditor, actionability-validator, clarity-reviewerstakeholder-mapper (if complex dynamics), sensitivity-scanner (if contentious topics)
Coaching notesclarity-reviewer, actionability-validatortone-calibrator (if shared with coachee)
  1. Check if the plan specified reviewers. If so, use those as the baseline.
Phase 2: Parallel Agent Review

Launch all selected review agents in parallel using the Task tool.

Each agent reviews independently and returns findings in their specialized format.

Agent Instructions:

  • Each agent receives the complete work output
  • Each agent applies its specialized lens
  • Each agent returns findings with severity levels
Phase 3: Synthesize Findings

After all agents return, synthesize their findings:

Output Format:

markdown
## Review Summary

### Overall Assessment
**Quality Score**: [1-10]
[2-3 sentence assessment of overall quality and readiness]

### Critical Issues (Must Fix)
Issues that would cause real problems if not addressed.

#### Issue 1: [Title]
- **Found by**: [Agent name]
- **Location**: [Where in the document]
- **Problem**: [What's wrong]
- **Impact**: [What happens if not fixed]
- **Fix**: [Specific recommendation]

### Important Issues (Should Fix)
Issues that meaningfully improve quality.

#### Issue 1: [Title]
- **Found by**: [Agent name]
- **Location**: [Where in the document]
- **Problem**: [What's wrong]
- **Fix**: [Specific recommendation]

### Minor Issues (Nice to Fix)
Polish and refinement opportunities.

- [Issue]: [Quick fix] _(found by [agent])_
- [Issue]: [Quick fix] _(found by [agent])_

### What's Working Well
- [Strength 1] _(noted by [agent])_
- [Strength 2] _(noted by [agent])_

### Conflicting Feedback
[If agents disagree, note the conflict and recommend resolution]

### Recommended Action
- [ ] Fix critical issues (estimated: [time])
- [ ] Fix important issues (estimated: [time])
- [ ] Fix minor issues (estimated: [time])
- [ ] Ready to finalize after fixes
Phase 4: Apply Fixes

If the user approves:

  1. Fix critical issues first.
  2. Fix important issues.
  3. Fix minor issues if time permits.
  4. Present the revised version with a summary of changes made.

If issues conflict, present the tradeoff to the user and let them decide.

Review Principles

Show full SKILL.md (182 more words)Show less
Severity Calibration
  • Critical: Would cause real damage - wrong tone in sensitive email, missing key stakeholder concern, factual error in analysis, flawed logic in decision
  • Important: Meaningful quality improvement - unclear structure, missing context, weak evidence, incomplete consideration
  • Minor: Polish - word choice, formatting, small redundancies
Independence Matters
  • Each agent reviews independently
  • Don't let one agent's findings influence another
  • Conflicts between agents are valuable signal
Review Should Be Proportional
  • Quick internal note: clarity-reviewer only
  • Important email: clarity + tone + completeness
  • Board presentation: all standard + conditional reviewers
  • Strategic decision: all reviewers including devil's-advocate
The Devil's Advocate is Special
  • Always include for decisions and recommendations
  • Its job is to find the strongest counterargument
  • Don't dismiss its findings just because you disagree
  • If the devil's advocate can't find a good counterargument, that's strong validation

Next Step

When the work is finalized, capture what you learned: /coworkpowers:workflow-compound

Anti-Patterns to Avoid

  • Running review on low-stakes work (wastes time)
  • Ignoring conflicting feedback instead of resolving it
  • Treating all findings as equal severity
  • Over-revising based on minor feedback
  • Not running devil's advocate on important decisions
  • Applying fixes without user awareness of what changed

© nabeelhyatt, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/workflow-review of nabeelhyatt/coworkpowers.

Open the folder on GitHubat commit 65a1fb7

Compare with similar skills

Workflow Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Workflow Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Workflow Review this skillnabeelhyatt/coworkpowers113—~1.3kAutomated safety check: PassMIT
Benchmark Agentsvercel/vercel-plugin301—~3.6kAutomated safety check: PassCustom licence
Harness DesignAnastasiyaW/codex-claude-code-config154—~2.6kAutomated safety check: PassMIT
Clawteam DevHKUDS/ClawTeam5.5k1 repos~1.1kAutomated safety check: PassMIT
Acceptance Evidence for Deliverieslobehub/lobehub83k—~9.7kAutomated safety check: PassApache-2.0
Senpi Agent QA Harnesscode-yeongyu/senpi474—~2.7kAutomated safety check: NotesMIT

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Questions about Workflow Review

What does Workflow Review do?

Run parallel multi-agent review on completed knowledge work. Workflow Review is an agent skill from nabeelhyatt/coworkpowers. Run parallel multi-agent review on completed knowledge work.

When should I use Workflow Review?

Workflow Review fits situations like: requests like review this; check this before I send it; stress-test this recommendation; quality assurance is needed on a deliverable.

How do I install Workflow Review in Claude Code?

Run `npx skills add nabeelhyatt/coworkpowers --skill workflow-review -a claude-code`. Or copy the skill folder (skills/workflow-review in nabeelhyatt/coworkpowers) into .claude/skills/workflow-review in your project. Claude Code loads it when a task matches its description.

How do I install Workflow Review in Codex?

Run `npx skills add nabeelhyatt/coworkpowers --skill workflow-review -a codex`. Or copy the skill folder (skills/workflow-review in nabeelhyatt/coworkpowers) into .agents/skills/workflow-review in your project. Codex loads it when a task matches its description.

Can I use Workflow Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nabeelhyatt/coworkpowers --skill workflow-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workflow-review, .gemini/skills/workflow-review, .github/skills/workflow-review and .opencode/skills/workflow-review in your project.

What does Workflow Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Workflow Review is instructions for the agent only.

Does Workflow Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Workflow Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Workflow Review use?

Workflow Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Workflow Review use?

About 1.3k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Workflow Review?

Skills that share tags, products or a category with Workflow Review: Benchmark Agents (vercel/vercel-plugin, 301 stars), Harness Design (AnastasiyaW/codex-claude-code-config, 154 stars), Clawteam Dev (HKUDS/ClawTeam, 5.5k stars) and Acceptance Evidence for Deliveries (lobehub/lobehub, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Workflow Review?

nabeelhyatt (a GitHub user) maintains it in nabeelhyatt/coworkpowers, which has 113 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on February 15, 2026.

Source: nabeelhyatt/coworkpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.