Automate end-to-end manual QA for CLI workflows using a release binary and temp project.
npx skills add https://github.com/JYC11/filament --skill manual-qa-jyc11
Please help me install this Agent Skill. Skill: manual-qa Source: https://github.com/JYC11/filament/tree/main/.claude/skills/manual-qa Command: npx skills add https://github.com/JYC11/filament --skill manual-qa-jyc11
Manual QA exercises the real CLI against a temporary project to surface output quality, error messaging, and workflow gaps.
Build the release binary, initialize a temporary QA project, run the manual-qa workflow against the binary, and record results to .qa/manual-qa-results.md.
High-intent search queries and answers about installing and using this skill.
Manual QA testing for a CLI workflow is performed by driving a release binary through a real, temporary project to validate usability and reliability across init, CRUD, and error handling scenarios. It requires a test plan template and a results recording workflow to capture outcomes.
A CLI test plan in end-to-end manual QA is used to guide testing across cross-command workflows, edge cases, and JSON output mode, ensuring that output quality and workflow gaps are systematically surfaced and recorded.
You record manual QA results for command-line interface testing by running the QA workflow against the binary and writing the outcomes to a results file at .qa/manual-qa-results.md, capturing both strict JSON and human-readable outputs.
Yes, manual QA testing works with JSON output mode and cross-command workflows by verifying edge cases and validating the reliability of sequential command execution within a temporary project environment.
Before testing CLI workflows with a manual QA process, you need to build the release binary, initialize a temporary QA project, and prepare a test plan template to guide the execution and recording workflow.
You should use manual QA instead of automated tests for CLI tools when you need to exercise the real binary against a temporary project to specifically surface output quality, error messaging clarity, and workflow usability gaps.
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