error-debugging-multi-agent-review
Provides a framework for coordinating multiple AI agents to debug and review complex codebases.
Install
mkdir -p .claude/skills/error-debugging-multi-agent-review && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4534" && unzip -o skill.zip -d .claude/skills/error-debugging-multi-agent-review && rm skill.zipInstalls to .claude/skills/error-debugging-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 error debugging multi agent reviewKey capabilities
- →Assess software artifacts through intelligent agent coordination
- →Generate complete evaluations across multiple critical dimensions
- →Perform dynamic agent matching based on input characteristics
- →Maintain shared context across agent interactions
- →Merge insights from multiple agents into a unified report
- →Detect and resolve contradictory agent recommendations
How it works
A distributed, specialized agent network performs holistic code assessments by coordinating agents with distinct expertise. It uses dynamic agent matching and expertise routing to select appropriate agents.
Inputs & outputs
When to use error-debugging-multi-agent-review
- →Debugging complex multi-agent reviews
- →Orchestrating code review workflows
- →Applying review best practices
About this skill
Compatibility and maintenance
Primary editorial path for this compatibility group. 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 skill coordinates multiple specialized agents to provide multi-perspective analysis, unlike traditional single-perspective review approaches.
Compared to similar skills
error-debugging-multi-agent-review side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| error-debugging-multi-agent-review (this skill) | 1 | 5mo | No flags | Advanced |
| python-testing-patterns | 77 | 4mo | Review | Intermediate |
| error-handling-patterns | 35 | 4mo | No flags | Intermediate |
| codex-claude-loop | 13 | 11mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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