Orchestrate Go code quality review with linters, tests, and coverage.
npx skills add https://github.com/dimetron/pi-go --skill code-review-pi
Please help me install this Agent Skill. Skill: code-review-pi Source: https://github.com/dimetron/pi-go/tree/main/.pi-go/skills/code-review-pi Command: npx skills add https://github.com/dimetron/pi-go --skill code-review-pi
Code review and quality assurance for Go projects by running linters, tests, and coverage, and capturing a final report for gating changes.
Run a full code quality pass on your Go repository and save the final report to ./specs/issues/003-code-review-pi/PROMPT.md
High-intent search queries and answers about installing and using this skill.
Automate Go code review by orchestrating go vet, golangci-lint, and go test with race detection and coverage reporting across a repository. The multi-stage workflow runs these tools to evaluate quality and writes a final summary report to PROMPT.md.
Run Go tests with race detection and coverage reporting by executing go test with race flags across the repository. The workflow identifies coverage gaps and can spawn per-package subagents to write missing tests and fix issues, enforcing quality gates.
Yes, automated quality assurance uses golangci-lint and go vet to run linting checks across Go projects. The workflow orchestrates these linters alongside tests and coverage analysis, capturing results into a final audit report.
Enforce quality gates across multiple Go packages by spawning per-package parallel subagents that write tests and fix issues. The workflow coordinates these subagents to ensure linters, tests, and coverage thresholds pass across the entire repository.
Generate a Go code quality audit trail by running the full review workflow and saving the final report to ./specs/issues/003-code-review-pi/PROMPT.md. This file captures linting, testing, and coverage summaries for gating changes and historical review.
Yes, automated code review applies to Go projects of varying sizes. By spawning per-package parallel subagents, the workflow handles large repositories efficiently, enforcing quality gates across all packages without manual intervention.
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