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mellea
mellea에는 generative-computing에서 수집한 skills 3개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Draft, validate, and install new agent skills. Use when asked to create a new skill, automate a workflow, or add a capability. Produces cross-compatible SKILL.md files that work in both Claude Code and IBM Bob.
Audit and fix pytest markers on test files and examples. Classifies tests as unit/integration/e2e/qualitative using general heuristics and project-specific marker rules. Estimates GPU VRAM and RAM requirements by tracing model identifiers and looking up parameter counts. Use when: writing a new test and unsure which markers to apply; reviewing or auditing existing test markers; a test is unexpectedly skipped or not collected; a test is consuming too much GPU/RAM and you want to check its resource gates; checking marker correctness before committing; or any question about why a test does or doesn't run in a given configuration.
Best-practices guide for adding or reviewing logging in the Mellea codebase. Covers when to use log_context() vs a dedicated logger call, canonical field names, reserved attribute constraints, async/thread safety, and what events deserve dedicated log lines. Use when: adding a new log call; reviewing a PR that touches MelleaLogger; deciding where to inject context fields; debugging why a field is missing from a log record; or ensuring consistency with the project logging conventions.