Run build, check, and test commands and return structured diagnostics.
npx skills add https://github.com/paulnsorensen/dotfiles --skill make-paulnsorensen
Please help me install this Agent Skill. Skill: make Source: https://github.com/paulnsorensen/dotfiles/tree/main/claude/skills/make Command: npx skills add https://github.com/paulnsorensen/dotfiles --skill make-paulnsorensen
Automates the verification of code changes by running builds, tests, and format checks in a forked subagent and returning only structured diagnostics, so noisy compile output never floods your context.
From the project root, run /make to detect and execute the appropriate build or check command and receive a clean, parseable report of errors and warnings.
High-intent search queries and answers about installing and using this skill.
To get structured build errors, you can run an automated build command that filters verbose output and returns only structured diagnostics in the form file:line:col with optional error codes. This prevents noisy compile output from flooding your context.
You can automate running tests and format checks in CI by executing build, check, and test commands with guardrails that capture and return structured errors and warnings in a consistent, machine-parseable format suitable for downstream tooling.
Yes, you can auto-detect the correct build system from project files to run check, build, or test commands as needed. This allows you to execute the appropriate build or check command automatically from the project root.
The build automation supports common workflows including /make, /build, /check, /compile, and specialized actions like /make test, /make lint, /make fmt, and /make clean for comprehensive project verification.
Verbose build output floods context because standard compile commands emit all logs directly. Running builds and tests in a forked subagent captures and returns only structured errors and warnings, preventing noisy output from flooding your context.
Yes, it works for CI integration by surfacing diagnostics in a consistent, machine-parseable format. It provides guardrails for command execution, error collection, and result formatting, ensuring predictable output for downstream tooling.
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