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 24 of 93
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aaai-reproducibilitySkillDatabases & data
Lets your agent strengthen an AAAI paper's reproducibility checklist, seed reporting, dataset disclosure, and claim-to-evidence mapping.
Ready to connect★ 1k
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acl-artifact-evaluationSkillDatabases & data
Helps your agent package code, datasets, and documentation to meet ACL submission artifact requirements.
Ready to connect★ 1k
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acl-experimentsSkillDatabases & data
Helps your agent design and audit experiments for an ACL paper, from baselines and significance testing to error analysis.
Ready to connect★ 1k
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acm-sigmod-international-conference-on-management-of-dataSkillDatabases & data
Use when targeting ACM SIGMOD International Conference on Management of Data (SIGMOD) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for database flagship.
Ready to connect★ 1k
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acmmm-artifact-evaluationSkillDatabases & data
Helps your agent package code, models, and datasets into ACM Multimedia artifacts for review or public release.
Ready to connect★ 1k
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acmmm-experimentsSkillDatabases & data
Lets your agent design and audit experiments for a multimedia research paper, including baselines, ablations, and user studies.
Ready to connect★ 1k
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acmmm-submissionSkillDatabases & data
Checks an ACM Multimedia paper submission for OpenReview readiness, from page budget and anonymity to dual-submission rules.
Ready to connect★ 1k
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aes-experimentsSkillDatabases & data
Use when designing and presenting experiments/simulations for manuscripts submitted to Acta Electronica Sinica (AES). Covers experiment goals and hypotheses, datasets and simulation setups, baselines and fairness of comparisons, evaluation metrics (SNR/BER/error/accuracy/resource usage), ablation an
Ready to connect★ 1k
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aistats-experimentsSkillDatabases & data
Helps your agent design and check machine learning experiments, from baselines and statistical tests to seeds and ablations.
Ready to connect★ 1k
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aistats-reproducibilitySkillDatabases & data
Helps your agent strengthen AISTATS reproducibility evidence like checklists, seeds, baselines, and code release statements.
Ready to connect★ 1k
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asplos-artifact-evaluationSkillDatabases & data
Helps your agent prepare an ASPLOS paper artifact for evaluation, including the Artifact Appendix and badging requirements.
Ready to connect★ 1k
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ccs-reproducibilitySkillDatabases & data
Lets your agent strengthen reproducibility evidence for ACM CCS papers, from artifact availability to attack reproduction.
Ready to connect★ 1k
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chi-artifact-evaluationSkillDatabases & data
Use when packaging the artifacts behind an ACM CHI paper — prototypes, study instruments, codebooks, datasets, analysis code — for anonymous review scrutiny and for post-acceptance archival release, in a venue with no formal artifact-evaluation committee doing it for you.
Ready to connect★ 1k
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cikm-artifact-evaluationSkillDatabases & data
Use when packaging the code, datasets, knowledge graphs, prompts, and demo systems around a CIKM paper — choosing the artifact form per track (research, applied, resource, demo), meeting the resource track's reuse-and-documentation bar, and staging anonymous review artifacts into citable public rele
Ready to connect★ 1k
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cikm-experimentsSkillDatabases & data
Use when designing or auditing the empirical program of a CIKM paper — matching evidence to the claim's lanes across retrieval, mining, and knowledge-management evaluation cultures, choosing datasets and baselines that survive a blended panel, isolating the boundary mechanism, and meeting applied-tr
Ready to connect★ 1k
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cikm-related-workSkillDatabases & data
Use when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding against misattributing SIGIR/KDD/ICDM classics to CIKM, and handling preprints under the arXiv-declaration and dual-submis
Ready to connect★ 1k
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cikm-topic-selectionSkillDatabases & data
Use when deciding whether a project fits CIKM, the tri-community ACM venue spanning information retrieval, data mining, and knowledge management/databases, when weighing CIKM against SIGIR, KDD, WSDM, TheWebConf, SIGMOD/VLDB, or ISWC, and when choosing among CIKM's five tracks before writing begins.
Ready to connect★ 1k
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colm-related-workSkillDatabases & data
Use when positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations, handling concurrent work fairly, citing model and dataset artifacts correctly, distinguishing COLM's three-edition archive from adjacent venues' archives, and keeping self-citation double-b
Ready to connect★ 1k
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corl-artifact-evaluationSkillDatabases & data
Use when packaging the artifacts of a CoRL paper — code, training configs, demonstration datasets, policy checkpoints, simulation environments, and benchmark definitions — as anonymous review-time evidence and as durable public releases after acceptance, in a venue with no formal artifact-badging tr
Ready to connect★ 1k
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cscw-artifact-evaluationSkillDatabases & data
Use when packaging what stands behind a CSCW paper — systems, analysis pipelines, codebooks, instruments, datasets from real communities — for review-time scrutiny and post-acceptance release, where community-data ethics constrain release more than any badge checklist.
Ready to connect★ 1k
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cvpr-artifact-evaluationSkillDatabases & data
Use when packaging code, models, datasets, or demo videos for a CVPR paper at either review time or release time, covering anonymous supplement packaging under the external-link ban, the dataset-release-by-camera-ready rule, model-weight and license decisions, and making a vision artifact runnable b
Ready to connect★ 1k
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cvpr-camera-readySkillDatabases & data
Use when preparing the final version of an accepted CVPR paper, covering de-anonymization, the dataset-release-by-camera-ready obligation, CVF open access versus the IEEE Xplore version of record, oral/highlight/poster preparation at conference scale, and arXiv/preprint synchronization after accepta
Ready to connect★ 1k
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cvpr-topic-selectionSkillDatabases & data
Use when deciding whether a project belongs at CVPR or should route elsewhere, covering what counts as a vision contribution at the field's flagship, fit tests for methods, datasets, and application papers, realistic odds at 25% acceptance and 16k submissions, and routing to ICCV, ECCV, WACV, 3DV, N
Ready to connect★ 1k
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eacl-artifact-evaluationSkillDatabases & data
Use when packaging code, data, prompts, model outputs, and annotation materials for an EACL submission, first as an anonymized ACL Rolling Review supplement aligned with the Responsible NLP checklist, then as a public post-acceptance ACL Anthology release, with attention to licensing, dataset docume
Ready to connect★ 1k
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earth-system-science-dataSkillDatabases & data
Use when targeting Earth System Science Data (ESSD) or deciding whether an earth-system dataset fits this venue. Encodes the journal's data-paper fit, the open-deposition-with-DOI requirement, quality and reuse-documentation bar, Copernicus house style, official-submission re-check, and desk-reject
Ready to connect★ 1k
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ecai-reproducibilitySkillDatabases & data
Use when building the reproducibility story for an ECAI paper — a complete proof appendix for theory/KR work, a seeded and cached package for empirical/ML work, provenance pinning for datasets and models, and an anonymized supplement that satisfies double-blind review inside ECAI's tight 7-page body
Ready to connect★ 1k
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eccv-reproducibilitySkillDatabases & data
Use when hardening the reproducibility story of an ECCV paper — training recipes and schedules readers can re-run, dataset versioning and split provenance, pinned foundation-model dependencies, compute disclosure, and seed/variance honesty for benchmark deltas, sized for the 14-page LNCS body plus s
Ready to connect★ 1k
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edbt-artifact-evaluationSkillDatabases & data
Use when preparing an EDBT database-systems artifact and reproducibility package, covering what evaluators check first for systems papers, a turnkey run path, pinned workloads and environments, DOI-issuing archival for the open-access OpenProceedings record, and the higher stakes for Experiments & A
Ready to connect★ 1k
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edbt-experimentsSkillDatabases & data
Use when designing or auditing EDBT empirical evaluations for database-systems work, covering real workloads and datasets, fair and tuned baselines, honest measurement across realistic scales, reproducible harnesses, and the higher bar of the Experiments & Analysis paper where the measurement itself
Ready to connect★ 1k
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edbt-related-workSkillDatabases & data
Use when positioning an EDBT submission against the data-management literature across SIGMOD, VLDB/PVLDB, ICDE, EDBT, the co-located ICDT, and the database journals (VLDBJ, TODS, TKDE), writing delta-first contrast rather than a citation catalog, and handling the 12-month EDBT resubmission ban, prep
Ready to connect★ 1k
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