AI Agent Skills

Enforces one structured end-of-build design/QA pass — never per-task — on the release build: a screenshot sweep matrix (every screen × light/dark × LTR+RTL × largest tex…

The repo front-door for a Flutter/Dart app — the cross-cutting house rules (feature-first layered MVVM, immutable state with a single write path, Riverpod 3.x for state…

Use for building Linux kernels for QEMU boot testing, including defconfig selection, cross compile variables, Docker or host toolchains, Image, DTB, modules, initramfs i…

Use for building U-Boot artifacts for QEMU firmware boot testing, including defconfig selection, cross compile variables, SPL/TPL, U-Boot proper, FIT or ITB files, BL31…

Stress-tests an already-written game bug fix with adversarial cases selected from the state, timing, identity, lifecycle, persistence, and input surfaces the patch can a…

Turns an abstract game-design seed into a minimal discrete-state rule system by generating conflict-axis candidates, stress-testing with Rule Breaker and Strategy Breake…

Builds an answer-first plan by stating disprovable hypotheses and, for each, the "what would prove me wrong" test and the exact analysis that settles it, so the team tes…

Use when a task needs Playwright-backed browser automation from the shell: open or attach to browser sessions, inspect snapshots and element refs, click/type/fill forms,…

This skill handles all SAP ABAP development tasks: writing and debugging reports, function modules, classes, BAdIs, enhancement spots, user exits, ALV, SmartForms, Adobe…

Author a well-documented GitHub pull request — title and body — for the current branch. Reads the diff and commit trail, infers a Conventional Commits (or repo-native) t…

Challenge, push back, play devil's advocate on AI output or intentions. Use when: challenge this, are you sure, push back, prove it, what if you're wrong, devil's advoca…

Safe-to-fail experiment for Complex domain problems where cause-effect is only visible in retrospect. Two-phase: foreground qualify → background probe → sense result. Us…

Guidelines for writing robust, modern Java tests using JUnit 5, Mockito, and Testcontainers.

Detect and prevent overfitting to historical data via multiple testing corrections and pre-registration. Use when evaluating strategy variants to ensure performance is n…

Prevent train-test contamination, target leakage, and temporal leakage. Use when splitting data, fitting preprocessors, or engineering features for time-series ML.

Test strategy robustness to parameter variation and detect overfitting cliffs. Use when validating that performance is stable across parameter perturbations.