- Home
- Skills
- Ntcoding
- Claude Skillz
- Architect Refine Critique
architect-refine-critique_skill
- Python
247
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill ntcoding/claude-skillz --skill architect-refine-critique- SKILL.md840 B
Overview
This skill runs a three-phase design review pipeline by chaining an architect, a refiner, and a critique subagent. It orchestrates sequential handoffs so each subagent focuses on one stage: initial design, improvement, and critical challenge. The goal is a structured, repeatable review cycle for system and module designs.
How this skill works
When invoked, the architect subagent generates an initial design for the specified target and name. The refiner subagent receives that design and produces an improved, more detailed version. The critique subagent then challenges assumptions, finds risks, and surfaces gaps. After the chain completes, the skill prompts the user to run a follow-up review command to discuss findings.
When to use it
- Preparing or documenting a new service, module, or API design
- Before approving significant refactors or architecture changes
- During design syncs to get a structured second opinion
- When drafting system design proposals for stakeholders
- To validate or stress-test an existing design before implementation
Best practices
- Provide a clear name and concise target description when invoking the pipeline
- Include context such as goals, constraints, and expected traffic or load
- Run iterative cycles: refine inputs based on critique and re-run the pipeline
- Keep each invocation focused on a single design boundary to avoid noisy outputs
- Use the follow-up review command to discuss and prioritize critique findings
Example use cases
- Designing a new microservice and validating data flow and scaling considerations
- Refactoring an authentication module and checking for security regressions
- Drafting an integration pattern between services and surfacing failure modes
- Creating a proposal for a new feature and getting a structured improvement pass
- Validating trade-offs and deployment strategies before sprint planning
FAQ
A short name and a clear target description. Include goals, constraints, and any nonfunctional requirements for best results.
How do I act on the outputs?
Run the follow-up review command to discuss findings, then iterate: update the design, re-run the pipeline, and track changes until satisfied.
Can I skip stages or run them independently?
The skill is designed for the full three-stage flow. For focused work, run the corresponding subagent directly if available.