Analytics & Monitoring Agent Skills for Microsoft Copilot

Use when hardening the reproducibility story of an ICCV paper, covering full recipe disclosure without a mandated compute form, protocol…

Use when deciding whether a computer-vision project should target ICCV, weighing the biennial odd-year cadence and its two-year option…

Use when drafting or revising the prose and figures of an ICCV paper, covering writing for an international generalist reviewer pool, the…

Use when packaging code, data, and logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized…

Use when deciding whether a project is a strong ICDM (IEEE International Conference on Data Mining) fit, choosing among its Research…

Use when packaging ICLR code, data, checkpoints, demos, logs, and reproduction instructions for reviewers or post-acceptance release…

Use when drafting ICLR OpenReview author discussion replies, revision notes, public comments, restricted comments, and responses to…

Use when designing or auditing ICLR experiments, including baselines, ablations, scaling laws, robustness, statistics, benchmarks, human…

Use when positioning an ICLR paper against prior work, concurrent OpenReview submissions, arXiv papers, benchmark lineages, and adjacent…

Use when strengthening reproducibility for ICLR papers, including seeds, variance, compute, datasets, implementation details, ethics…

Use when explaining or planning around the ICLR review process, including OpenReview public review, AC/SAC roles, reviewer questions…

Use when organizing ICLR appendices, supplementary files, anonymous code/data, revised PDFs, private links, and discussion-period updates…

Use when deciding whether a project is a strong ICLR submission, should be reframed for ICLR, or should be routed to NeurIPS, ICML, AAAI…

Use when revising an ICLR manuscript for learning-representation framing, OpenReview readability, contribution clarity, limitations…

Use when packaging ICML artifacts - code, data, model weights, simulators, benchmarks, proof scripts, notebooks, anonymous repositories…

Use when preparing accepted ICML papers for camera-ready upload, PMLR agreement, public OpenReview record, lay summary, conflict…

Use when stress-testing ICML experimental evidence before submission or rebuttal, including strong tuned baselines, mechanism-isolating…

Use when positioning an ICML submission against close ML literature, concurrent ICML submissions, recent public papers, workshop papers…

Use when strengthening ICML reproducibility evidence, including code/data availability, random seeds, compute disclosure, appendix…

Use when explaining or diagnosing the ICML review process, including OpenReview, reciprocal reviewing, reviewer/AC behavior, review…

Use when deciding what ICML material belongs in the main 8-page body, same-PDF appendices, supplementary manuscript, code/data supplement…