performance-testing-review-multi-agent-review
A multi-agent review tool that coordinates specialized AI agents to perform comprehensive software artifact evaluations.
Install
mkdir -p .claude/skills/performance-testing-review-multi-agent-review && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/7072" && unzip -o skill.zip -d .claude/skills/performance-testing-review-multi-agent-review && rm skill.zipInstalls to .claude/skills/performance-testing-review-multi-agent-review
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Use when working with performance testing review multi agent reviewKey capabilities
- →Analyze input characteristics to select agents
- →Route code context to specialized agents
- →Merge insights from multiple agents
- →Resolve conflicting recommendations
- →Optimize review process efficiency
How it works
The tool coordinates a distributed network of specialized agents to perform complete code assessments by dynamically matching agents, managing context, executing reviews, and synthesizing results.
Inputs & outputs
When to use performance-testing-review-multi-agent-review
- →Complex architectural assessment
- →Cross-domain code evaluation
- →Analyzing large codebases with parallel agent teams
- →Synthesizing multi-perspective feedback
About this skill
Compatibility and maintenance
Compatibility alias of error-debugging-multi-agent-review; use that ID for new references when no existing contract requires this one. The full instructions and support files remain local so existing installations
continue to work offline. This is one shared procedure, not an additional capability.
Preserve the callable ID when an existing manifest or client configuration uses it.
Modified in AAS on 2026-09-05; original metadata and license notices are retained.
Coordinate a bounded code review
When to Use
Review a defined diff or subsystem from several relevant perspectives, such as correctness, authorization and performance. The skill describes a review procedure; it does not install an orchestration engine or prove compliance.
Inputs and execution scope
Pin repository/base/head, the changed paths, intended behavior and available tests. Use independent agents only if the user authorizes delegation and the host supports it. Otherwise conduct the perspectives sequentially. Do not spawn agents merely because this callable ID contains “multi-agent”. Read-only review is the default; fixes, external posts and deployment stay within the user's actual task authority.
Review process
- Read the complete diff and the directly affected call paths and tests.
- Choose only perspectives relevant to the change. Give each authorized reviewer a bounded question, owned paths, time/effort limit and expected evidence format.
- Record findings with exact locations, trigger, consequence and reproduction. Keep hypotheses separate from demonstrated failures; do not invent confidence scores.
- Reproduce important findings centrally. Deduplicate by root cause, not wording.
- Resolve disagreement through code or tests. Weighted votes and multiple agents repeating a claim are not evidence of correctness.
- Return blockers first, then material improvements and untested areas. Preserve the original failing result; a rerun does not erase it.
Example
For a tenant-scoped cache change, review key construction, authorization context and invalidation. Reproduce two tenants requesting the same prompt and different prompt versions within one tenant. Expected result: a finding only if an actual cross-scope hit or stale result can occur, with the smallest case showing it. A general style opinion must not be presented as a data-exposure defect.
Limitations
No agent-routing code, compliance validator or quality-score calculator is bundled. Parallel review adds cost and can duplicate blind spots. This procedure cannot prove whole-repository safety from a diff, nor authorize production load tests or messages.
How it compares
This tool uses a distributed, specialized agent network for holistic code assessments, unlike traditional single-perspective review approaches.
Compared to similar skills
performance-testing-review-multi-agent-review side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| performance-testing-review-multi-agent-review (this skill) | 1 | 5mo | No flags | Advanced |
| claude-automation-recommender | 47 | 4mo | Review | Beginner |
| subagent-driven-development | 14 | 9mo | No flags | Advanced |
| coding-agent | 16 | 4mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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