Capture and compare system states before and after implementation.
npx skills add https://github.com/cosmix/loom --skill before-after
Please help me install this Agent Skill. Skill: before-after Source: https://github.com/cosmix/loom/tree/main/skills/before-after Command: npx skills add https://github.com/cosmix/loom --skill before-after
This Skill helps you definitively prove that your code changes have the intended effect by capturing system state before and after implementation, preventing regressions and ensuring new features work as expected.
Use the before-after skill to verify that the new loom check command now works after implementation.
High-intent search queries and answers about installing and using this skill.
To prove code changes altered system behavior, capture the system state before and after implementation to establish delta-proof verification. This framework compares states to ensure a stage demonstrably changed behavior, rather than just validating the final state.
To verify a bug fix, capture the system state before implementation to demonstrate the bug existed, then compare it against the post-implementation state to confirm the issue is resolved. This delta-proof approach tracks the behavior change from broken to fixed.
The best way to validate a new feature is to capture and compare system states before and after implementation. This proves the feature was absent initially and functions correctly now, using shell commands, code integration points, or file existence checks for verification.
Yes, you can verify new API endpoints by capturing the system state before and after implementation. For example, establish delta-proof verification by proving the endpoint returned a 404 error before your stage and now returns valid data after implementation.
For feature validation, you can capture and compare system states using shell commands, code integration points, and file existence checks. These methods establish delta-proof verification by tracking behavioral changes across implementation stages.
You should use delta-proof verification because it establishes that a stage actually changed system behavior, not just that the final state is valid. This prevents regressions and ensures new features work as expected by capturing the before and after states.
CANTAGESTUDIOIdentify missing tests and establish a minimal safety net before refactoring.
mr-daedaliumMerge PRs, trigger deployment, and verify canary health in CI/CD pipelines.
zerAdaGenerate end-to-end API and UI tests for identified application features.
hoavdcImproves code quality by hardening unit and integration tests around changes.
