Packs

1 pack

@brycewang-stanford

Twelve ATC-specific skills for the ACM SIGOPS Annual Technical Conference (formerly the USENIX Annual Technical Conference), grounded in the ATC 2026 SIGOPS call for papers, the USENIX ATC '25 research and artifact pages, the USENIX to SIGOPS transition record, and dblp.

2 skills · pack

Results for “research-artifact”

4 skills

Researches an open-ended question — options, possible solutions, prior art, trade-offs, or how something works — and produces a durable, evidence-backed, adversarially-validated report that recommends an option without committing the team to any artifact. Use when you want to research approaches, weigh options, survey prior art or the state of the art, or understand how something works before committing to a direction. Does not diagnose a bug, failure, or root cause — use investigate. Does not specify a feature — use plan-a-feature. Does not create or update a coding standard — use coding-standard. Does not compare two concrete artifacts for gaps — use gap-analysis. Does not assess an existing module's architecture — use architectural-analysis. Does not capture feedback on Han's own skills — use han-feedback.

More results

projectious-work

artifact-management

Create, retrieve, query, and update Artifacts — tangible deliverables produced by the project. Use when storing or retrieving documents, designs, datasets, build outputs, slide decks, or any completed deliverable that should be registered in the project catalog.

shipping-artifacts

Documents AI-built apps with architecture, permissions, secrets, and test coverage maps to make them reviewable before shipping.

refresh-orchestrator

Decide, before an expensive workflow runs, whether an artifact needs a full rebuild, a partial refresh, a skip, or a recycle. Inspects how old the artifact is and what actually changed underneath it, then returns a section-by-section plan with the token and cost savings. The cheap gate that keeps expensive generation from running on data that did not move. Built for anyone running repeatable AI workflows, customizable to your artifacts and your data sources. Trigger on "should we regenerate this", "refresh the report", "is this still fresh", "what needs updating", "when was this last run", "do we have a fresh brief", or any artifact-refresh question.