Databases & data skills.

2,786 databases & data skills, including azure-kusto, google-agents-cli-eval and paper-context-resolver, are listed on ahel today. Each one has a page of its own that says what it does and whether ahel can serve it in Claude, Claude Code, ChatGPT, Codex and Cursor.

Category: Databases & data

2,786 results · page 25 of 93

  • edbt-reproducibilitySkillDatabases & data

    Use when strengthening EDBT reproducibility for a database-systems paper, covering a runnable artifact, pinned environments and workloads, dataset and query-log provenance, claim-to-evidence mapping, honest degrees of reproducibility, and consistency between the paper and the package for the open-ac

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  • edbt-supplementarySkillDatabases & data

    Use when deciding what belongs in an EDBT paper body versus its artifact and appendices, covering the per-shape page budget with unlimited references, the rule that decision-critical evidence stays inside the reviewed pages, and how to split a database-systems paper between body and reproducible pac

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  • edbt-topic-selectionSkillDatabases & data

    Use when deciding whether a data-management project belongs at EDBT or should be routed to SIGMOD, VLDB/PVLDB, ICDE, the co-located ICDT theory venue, or a database journal, and when choosing the EDBT paper shape (Regular / Experiments-&-Analysis / Vision) and the nearest submission cycle.

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  • edbt-workflowSkillDatabases & data

    Use when planning an EDBT project timeline across the multiple-cycle rolling model — choosing a submission cycle, backward-planning through the author-feedback phase and the in-cycle revise-and-resubmit window, and handling the cycle-to-conference roll — for a database-systems paper published open a

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  • edbt-writing-styleSkillDatabases & data

    Use when revising an EDBT paper for a data-management contribution on the first page, a reproducibly described mechanism, an evaluation that survives a database-systems reviewer, honest scope, and disciplined use of the per-shape page budget (Regular / Experiments-&-Analysis / Vision) in the OpenPro

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  • emnlp-artifact-evaluationSkillDatabases & data

    Use when packaging the artifacts of an EMNLP paper — datasets, annotation guidelines, prompts, evaluation code, and model outputs — as anonymous review-time evidence or public post-acceptance releases, with licensing, data statements, and the inspection order NLP reviewers actually follow.

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  • emnlp-experimentsSkillDatabases & data

    Use when designing or auditing the experimental program of an EMNLP paper — baseline fairness and tuning budgets, dataset and language coverage matched to claims, contamination audits for pretrained and API models, significance testing and seed variance, human evaluation protocols, prompt sensitivit

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  • emnlp-related-workSkillDatabases & data

    Use when positioning an EMNLP submission inside NLP's fast-moving literature — covering ACL Anthology lineages and arXiv concurrency, citing Findings and workshop papers correctly, tracing dataset and benchmark ancestry, verifying every reference resolves under the hallucinated-citation policy, and

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  • er-data-sampleSkillDatabases & data

    Use when writing the data and sample section of an Economic-Research manuscript — naming databases, building variable-definition and descriptive-statistics tables, and leaving an auditable sample-filtering trail to 发表级.

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  • est-reporting-and-reproducibilitySkillDatabases & data

    Use when assembling the Supporting Information (SI), data-availability statement, and public-data/code deposit for an Environmental Science & Technology (ES&T) manuscript. ES&T expects materials, data, and protocols to be deposited in public databases and a data-availability statement, with SI submi

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  • european-conference-on-machine-learning-and-principles-and-practice-of-knowledge-discoverySkillDatabases & data

    Use when targeting European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk

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  • facct-artifact-evaluationSkillDatabases & data

    Use when preparing the accountability artifacts that accompany an ACM FAccT paper — datasheets for datasets, model cards, data statements, audit and impact-assessment documentation, and released code/data — since FAccT's culture centers documentation and accountability infrastructure rather than a f

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  • facct-reproducibilitySkillDatabases & data

    Use when strengthening ACM FAccT transparency and reproducibility — releasing code, data, and analysis for quantitative audits; documenting datasets and models with datasheets, model cards, and data statements; making qualitative and participatory work auditable without breaking confidentiality; pin

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  • icassp-reproducibilitySkillDatabases & data

    Use when strengthening ICASSP reproducibility across signal-processing modalities — pinning the scoring ruler for the paper's metric, dataset versions and splits, front-end/DSP settings, seeds, and compute, and mapping each claim to a checkable location, since ICASSP has no reviewed appendix and the

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  • icde-related-workSkillDatabases & data

    Use when positioning an IEEE ICDE submission against the database canon and neighboring venues, running a reinvention audit across SIGMOD, VLDB, EDBT, and shipping systems, handling two-round concurrency, distinguishing engineering delta from genuine novelty, and covering both the literature and pro

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  • icde-reproducibilitySkillDatabases & data

    Use when strengthening reproducibility evidence for an IEEE ICDE data-engineering paper: pinning hardware, storage devices, software versions, datasets and workload generators, seeds, and variance protocol; ensuring baseline-tuning fairness; tracing figures to raw logs; and packaging supplemental ma

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  • icde-topic-selectionSkillDatabases & data

    Use when deciding whether a project is a strong IEEE ICDE fit, routing among the three database venues from ICDE's seat (SIGMOD's quarterly rounds vs PVLDB's monthly deadlines vs ICDE's two rounds), choosing ICDE research vs industry track, applying the data-management-primitive test, and comparing

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  • icdt-artifact-evaluationSkillDatabases & data

    Use when preparing the "artifact" of an ICDT (International Conference on Database Theory) paper, which at a pure-theory venue is the complete-proofs full version rather than a code package — covering why ICDT has no ACM-style artifact-badging or code-artifact track, what the marked appendix and the

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  • icdt-author-responseSkillDatabases & data

    Use when responding to ICDT (International Conference on Database Theory) referees — principally the first-cycle Revise-and-resubmit round, where you return a corrected paper that closes each identified proof gap, plus any short author-comment phase, keeping the response anonymous and mapping every

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  • icdt-camera-readySkillDatabases & data

    Use when preparing the final LIPIcs camera-ready for an accepted ICDT (International Conference on Database Theory) paper — the lipics-v2021 final document, mandatory ACM CCS concepts and keywords, author ORCIDs, de-anonymization, complete proofs and the full-version link, CC-BY licensing, and passi

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  • icdt-experimentsSkillDatabases & data

    Use when deciding what counts as evidence for an ICDT (International Conference on Database Theory) result — matching-bound complexity analysis as the primary evidence, worked examples and counterexamples that establish separations, and, only for papers with an algorithmic contribution, a proportion

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  • icdt-related-workSkillDatabases & data

    Use when positioning an ICDT (International Conference on Database Theory) paper against the database-theory literature — covering the ICDT/PODS lineage, finite model theory and complexity, delta-first positioning against the nearest prior theorem, honest treatment of overlapping bounds, and keeping

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  • icdt-reproducibilitySkillDatabases & data

    Use when strengthening the verifiability of an ICDT (International Conference on Database Theory) paper — the theory-venue analogue of reproducibility — covering complete and self-contained proofs, exact models and assumptions, claim-to-proof mapping, matching upper and lower bounds, consistency bet

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  • icdt-review-processSkillDatabases & data

    Use when reasoning about how an ICDT (International Conference on Database Theory) submission is evaluated, covering the two-submission-cycle model, the first-cycle revision (Accept / Revise / Reject) decision, anonymous review since 2024, the cross-cycle resubmission restriction, proof-correctness

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  • icdt-submissionSkillDatabases & data

    Use when auditing an ICDT (International Conference on Database Theory) regular-paper submission for Microsoft CMT readiness, covering the two-step abstract-then-paper deadline in the correct submission cycle, the lipics-v2021 15-page limit excluding references, the clearly-marked appendix read at t

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  • icdt-supplementarySkillDatabases & data

    Use when deciding how to split an ICDT (International Conference on Database Theory) paper between the 15-page lipics-v2021 body and the clearly-marked appendix that referees read at their discretion, given that online/external appendices are not allowed and every proof needed to certify the result

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  • icdt-topic-selectionSkillDatabases & data

    Use when deciding whether a database-theory project belongs at ICDT (International Conference on Database Theory) or should be routed to PODS, the co-located EDBT systems track, a pure-TCS venue (LICS, ICALP, STACS), or a journal (ACM TODS, LMCS, TheoretiCS), and when distinguishing ICDT from its si

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  • icdt-workflowSkillDatabases & data

    Use when planning an ICDT (International Conference on Database Theory) campaign end to end, running the two-submission-cycle calendar backward from a chosen cycle deadline through abstract registration, the first-cycle revision round, LIPIcs camera-ready, and presentation at the co-located EDBT/ICD

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  • icdt-writing-styleSkillDatabases & data

    Use when shaping the prose of an ICDT (International Conference on Database Theory) paper — the theorem-proof structure, stating the data model and computation model precisely, leading with the result and its data-management consequence, proof-sketch-then-appendix discipline within the lipics-v2021

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  • iclr-reproducibilitySkillDatabases & data

    Use when strengthening reproducibility for ICLR papers, including seeds, variance, compute, datasets, implementation details, ethics statements, and reviewer-verifiable evidence. Use when writing the ICLR reproducibility statement, when a reviewer says a result is not verifiable, or when mapping eac

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