Learning & Documentation Agent Skills for Claude Desktop

Guidelines for using Context7, web search, and other research tools to find solutions outside the Scopy codebase.

Use when preparing an accepted ACM FAccT paper for camera-ready — de-anonymizing and adding the withheld Positionality/Acknowledgements…

Use when positioning an ACM FAccT submission across its many disciplinary lanes — algorithmic fairness/ML, HCI, law and policy, STS and…

Use when revising an ACM FAccT paper so that a fairness/accountability/transparency contribution is legible on the first page to a mixed…

Swap faces in a video using AI via the HeyGen API.

Design and facilitate engaging professional development workshops using adult learning principles and active learning strategies

Write the Facilities & Other Resources and Equipment documents for a grant — lab space, core facilities, computing, institutional…

Verifies the factual claims in a technical document against sources, and reports which hold, which do not, and which could not be checked.

Use when packaging a USENIX FAST artifact for the USENIX Artifact Evaluation scheme (Artifacts Available, Artifacts Functional, Results…

Use when drafting USENIX FAST author responses, covering the short pre-notification rebuttal during the author-response period and…

Use when positioning a USENIX FAST submission against the storage-systems literature across FAST, OSDI, ATC, SOSP, EuroSys, HotStorage…

Use when reasoning about how a USENIX FAST submission is evaluated, covering double-blind program-committee review with outside referees…

Use when deciding what belongs in a USENIX FAST paper body versus its artifact and appendices, covering the USENIX two-column page budget…

Use when deciding whether a storage project belongs at USENIX FAST or should be routed to OSDI, ATC, NSDI, EuroSys, HotStorage, MSST…

Use when revising a USENIX FAST paper for a storage contribution on the first page, a design/mechanism narrative a storage reviewer can…

Use for FavCRM blog posts, CMS content blocks, landing-page content, AI-generated images, post publishing, post updates, and content…

Enumerate every observable entry point of the application from P1+P2 evidence, group them into feature candidates, and scaffold a…

Create or normalize a feature folder under `doc/project/features/<feature>/`.

For every feature candidate produced by P3, perform an exhaustive silo read of the code that implements it, then **interview the…

Give effective feedback that promotes learning and growth.

Analyse existing written feedback for quality, specificity, actionability, and impact on student learning.