AI & models skills.
11,364 AI & models skills, including triage, domain-modeling and code-review, 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: AI & models
11,364 results · page 127 of 379
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govern-data-analysisSkillAI & models
Use when executing and reporting the analysis for a Governance: An International Journal of Policy, Administration, and Institutions manuscript — cross-national inference, clustering and uncertainty, robustness, multi-method triangulation, measurement validity for governance indices, small-N compara
Ready to connect★ 1k
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hrm-tables-figuresSkillAI & models
Use when exhibits are the bottleneck for a Human Resource Management (Wiley "HRM") manuscript — the descriptives/correlation table, the model build-up, interaction and simple-slope plots, the theoretical-model figure, and (for qualitative work) the data-structure figure. Builds reader-ready exhibits
Ready to connect★ 1k
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humrel-tables-figuresSkillAI & models
Use when building and auditing the exhibits for a Human Relations (HR) manuscript — qualitative data-structure and evidence tables, process models, and quantitative tables/figures. Improves the exhibits; it does not change the analysis or theory.
Ready to connect★ 1k
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icalp-writing-styleSkillAI & models
Use when shaping the exposition of an ICALP (EATCS) theory paper — stating the model before the theorem, putting a legible theorem statement and its improvement over prior bounds on the first page, structuring the 15-page body around the argument while full proofs live in the appendix/full version,
Ready to connect★ 1k
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iccv-artifact-evaluationSkillAI & models
Use when packaging code, models, or data for an ICCV paper at review or release time, covering anonymous in-archive code under the do-not-cite-your-repo rule, the June-to-October release runway after acceptance, weight and license decisions in a field whose landmark releases became infrastructure, a
Ready to connect★ 1k
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iccv-experimentsSkillAI & models
Use when designing the experimental program for an ICCV paper against the early-March deadline, covering benchmark-drift audits across the two-year gap, baseline fairness in the foundation-model era, ablations that isolate mechanisms, qualitative and failure evidence, and sequencing runs so the deci
Ready to connect★ 1k
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iccv-reproducibilitySkillAI & models
Use when hardening the reproducibility story of an ICCV paper, covering full recipe disclosure without a mandated compute form, protocol pinning for foundation-model and zero-shot evaluations, seed and variance honesty at vision training scale, and writing results that stay checkable across the two-
Ready to connect★ 1k
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iccv-review-processSkillAI & models
Use when reasoning about ICCV's review pipeline and where authors have leverage, covering the March-to-June OpenReview timeline, the every-author-reviews contract and its 2025 desk-reject enforcement, the reviewer LLM prohibition, decision statistics at 24% acceptance, oral and Highlight tiers, and
Ready to connect★ 1k
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iclr-experimentsSkillAI & models
Use when designing or auditing ICLR experiments, including baselines, ablations, scaling laws, robustness, statistics, benchmarks, human evaluation, and compute reporting. Use when a reviewer questions whether a representation-learning or model gain is real, when you must isolate one mechanism with
Ready to connect★ 1k
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iclr-submissionSkillAI & models
Use when auditing an ICLR main-conference submission for OpenReview readiness, double-blind anonymity, page limits, reciprocal reviewing, LLM-use disclosure, dual-submission policy, supplementary material, and desk-reject risk.
Ready to connect★ 1k
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icml-artifact-evaluationSkillAI & models
Use when packaging ICML artifacts - code, data, model weights, simulators, benchmarks, proof scripts, notebooks, anonymous repositories, and supplementary code/data ZIPs - for both the double-blind review package and the public release that accompanies accepted PMLR papers. Use when checking anonymi
Ready to connect★ 1k
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icml-review-processSkillAI & models
Use when explaining or diagnosing the ICML review process, including OpenReview, reciprocal reviewing, reviewer/AC behavior, review dimensions, author response, one-round discussion, LLM-review policy, ethics flags, and public review records.
Ready to connect★ 1k
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icml-submissionSkillAI & models
Use when auditing an ICML main-track submission for OpenReview, LaTeX formatting, 8-page body, anonymity, supplementary material, impact statement, dual submission, concurrent ICML submissions, reciprocal reviewing, and LLM/prompt-injection policy compliance.
Ready to connect★ 1k
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icse-reproducibilitySkillAI & models
Use when building the verifiability story of an ICSE research-track paper, covering the open-science policy's sharing-by-default expectation, the Data Availability section, anonymized replication packages at review time, provenance pinning for mining and LLM studies, and honest non-sharing justifica
Ready to connect★ 1k
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icse-review-processSkillAI & models
Use when reasoning about how an ICSE research-track submission is evaluated, covering double-anonymous PC review, the four posted criteria, the Accept / Major Revision / Reject decision model, the revision-and-final-decision timeline, and what recent ICSE acceptance statistics imply for strategy.
Ready to connect★ 1k
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icse-supplementarySkillAI & models
Use when deciding what goes into the 10-page body versus the replication package of an ICSE research-track submission, covering the no-unlimited-appendix page model, anonymized supplementary links and HotCRP uploads, package organization for reviewer navigation, and content-placement rules that prot
Ready to connect★ 1k
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icsme-experimentsSkillAI & models
Use when designing or auditing IEEE ICSME empirical evaluations, covering real evolving subject systems, mining-software-repositories provenance, fair baselines, SE-standard statistics and effect sizes, change-history and survivorship confounds, qualitative rigor, contamination-aware LLM ablations,
Ready to connect★ 1k
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icsme-reproducibilitySkillAI & models
Use when strengthening IEEE ICSME reproducibility and open-science evidence, covering the data-availability statement, anonymized-but-runnable artifacts, mining and LLM provenance pinning, claim-to-evidence mapping, honest degrees of reproducibility, and consistency between the paper and the artifac
Ready to connect★ 1k
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icsme-review-processSkillAI & models
Use when reasoning about how an IEEE ICSME research submission is evaluated, covering double-anonymous review, the early-decision cut that issues Accept/Reject before the rebuttal, the "Response Recommended" author-response period, the single-round accept/reject model with no Major Revision, and how
Ready to connect★ 1k
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ijcai-artifact-evaluationSkillAI & models
Use when packaging IJCAI or IJCAI-ECAI code, data, proofs, models, and appendices as reproducibility evidence or supplementary material, especially when there is no separate artifact-evaluation badge but reviewers need convincing, anonymous, deadline-safe evidence.
Ready to connect★ 1k
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international-conference-on-autonomous-agents-and-multiagent-systemsSkillAI & models
Use when targeting International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 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 agents and multiagent
Ready to connect★ 1k
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international-journal-of-plasticitySkillAI & models
Use when targeting the International Journal of Plasticity (IJP) or deciding whether a plastic-deformation modeling manuscript fits this venue. Encodes the journal's fit, the constitutive-model-plus-experimental-validation bar, the plasticity-centric scope, the IJP-vs-JMPS routing, official-submissi
Ready to connect★ 1k
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journal-of-climateSkillAI & models
Use when targeting Journal of Climate or deciding whether a climate-dynamics or climate-variability manuscript fits this venue. Encodes the journal's fit, the large-scale-climate-science bar, model-evaluation and statistical-rigor expectations, AMS house style, official-submission re-check, and desk
Ready to connect★ 1k
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operations-researchSkillAI & models
Use when targeting Operations Research (OR) or deciding whether an optimization / stochastic-models / queueing / applied-mathematical-modeling manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristic
Ready to connect★ 1k
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gentle-ai-skill-creatorSkillAI & models
Lets your agent create and update reusable AI agent skills that follow a valid format.
Ready to connect★ 1k
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gentle-ai-skill-improverSkillAI & models
Lets your agent audit and improve existing skill files, reporting issues and optionally applying fixes.
Ready to connect★ 1k
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dart-model-upgradeSkillAI & models
Audits and updates your repo's AI instructions and settings before switching to a new AI model.
Ready to connect★ 1k
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coding-agent-standardsSkillAI & models
Gives your agent coding standards to follow when writing or editing code for clearer, safer changes.
Ready to connect★ 1k
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prompt-architectSkillAI & models
Lets your agent use a prompt architect skill to design clear, testable prompts for agent workflows.
Ready to connect★ 1k
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verification-agentSkillAI & models
Lets your agent run a structured workflow to verify code and prompt outputs before signoff.
Ready to connect★ 1k
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