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 125 of 379
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cogpsych-rebuttalSkillAI & models
Use when writing the response to a Cognitive Psychology (Elsevier) major/minor revision. Reviews here often demand added experiments, more model comparisons, recovery analyses, or fuller reproducibility, so the response must address every point and strengthen the model-driven inference. Structures t
Ready to connect★ 1k
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cogpsych-submissionSkillAI & models
Use when running the final pre-submission preflight for Cognitive Psychology (Elsevier) via Editorial Manager — scope/length fit, abstract and keywords, APA-style reporting, model-comparison completeness, reproducible model/analysis code, and the Elsevier research-data and competing-interest declara
Ready to connect★ 1k
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cogpsych-tables-figuresSkillAI & models
Use when building tables and figures for a Cognitive Psychology (Elsevier) manuscript. Exhibits here carry the experiment-to-model-fit argument — they should overlay model predictions on data, show distributions and uncertainty, and report parameter estimates, not just bars of means. Designs exhibit
Ready to connect★ 1k
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cogpsych-theory-and-hypothesesSkillAI & models
Use when stating the theory, formalizing the model, and deriving predictions for a Cognitive Psychology (Elsevier) manuscript. The journal rewards a formal/computational account whose parameters mean something and whose predictions discriminate it from rivals. Structures the theory and the model tha
Ready to connect★ 1k
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cogpsych-topic-selectionSkillAI & models
Use when deciding whether a cognition project fits Cognitive Psychology (Elsevier) and what contribution shape to target. The journal favors longer, integrative, model-driven work that produces a substantial theoretical advance — not a single isolated effect. Frames the question and the model-or-the
Ready to connect★ 1k
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cogpsych-workflowSkillAI & models
Use when starting or navigating any Cognitive Psychology (Elsevier) manuscript and you are unsure which sub-skill applies. Use when choosing among manuscript types or returning with a decision letter. Routes by lifecycle stage and contribution type (multi-experiment empirical, experiment-plus-model,
Ready to connect★ 1k
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cogpsych-writing-styleSkillAI & models
Use when drafting or polishing a Cognitive Psychology (Elsevier) manuscript — a long-form, integrative article that must weave multiple experiments and a formal model into one continuous theoretical argument. Tightens structure, the experiment-to-model narrative, and APA-style reporting; it does not
Ready to connect★ 1k
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colm-artifact-evaluationSkillAI & models
Use when packaging the artifacts of a COLM paper — model weights, training data, prompts, evaluation sets, and cached model outputs — for anonymous review and public post-acceptance release, navigating licenses, API terms-of-service limits, and the absence of a formal COLM artifact track.
Ready to connect★ 1k
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colm-experimentsSkillAI & models
Use when designing or auditing the empirical core of a COLM paper — contamination analysis for evaluation data, fair baselines under matched prompting and compute, pinned model versions and decoding parameters, uncertainty over runs and samples, scaling coverage, and honest reporting of API-model co
Ready to connect★ 1k
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colm-reproducibilitySkillAI & models
Use when hardening a COLM paper's reproducibility story — pinning open-weight checkpoints and tokenizers, handling API-model drift and deprecation honestly, versioning evaluation harnesses and prompts, disclosing compute, and writing availability statements that distinguish what is releasable from w
Ready to connect★ 1k
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colm-review-processSkillAI & models
Use when reasoning about how COLM reviews a paper — the OpenReview pipeline from late-March submission through the May review release, the May-June rebuttal window, July decisions, reciprocal-reviewing obligations, the LLM-use rules for reviewers, and how a three-edition-old venue's norms differ fro
Ready to connect★ 1k
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colm-submissionSkillAI & models
Use when preparing or auditing a COLM submission on OpenReview — the late-March abstract and full-paper deadlines, the strict 9-page main text, double-blind rules banning acknowledgments and identity links, the Code of Ethics acknowledgment, LLM-usage disclosure, reciprocal-reviewer nomination, and
Ready to connect★ 1k
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colm-topic-selectionSkillAI & models
Use when deciding whether language-model research belongs at COLM or should route to ACL/EMNLP, ICLR, NeurIPS, ICML, or a workshop — applying the object-of-study test, matching against COLM's CFP lanes (training, data, evaluation, inference, safety), and weighing the trade-offs of a young venue befo
Ready to connect★ 1k
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colm-writing-styleSkillAI & models
Use when drafting or revising COLM paper prose — leading with a finding about language models rather than a leaderboard delta, scoping claims to tested models and scales, naming versions in text, keeping the 9-page main text self-sufficient, and matching the measured, analysis-forward voice of COLM'
Ready to connect★ 1k
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colt-related-workSkillAI & models
Use when positioning a COLT (Conference on Learning Theory) submission against prior bounds and models — building the known-versus-new comparison across COLT/ALT lineage, STOC/FOCS, NeurIPS-and-ICML theory tracks, statistics journals, and arXiv concurrency, while respecting anonymity and the paralle
Ready to connect★ 1k
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colt-review-processSkillAI & models
Use when reasoning about COLT (Conference on Learning Theory) peer review — the double-anonymous-with-informed-area-chair model, correctness-first evaluation by expert theorists, the rebuttal stage before decisions, single-track acceptance stakes, and how PMLR publication and the community's proof c
Ready to connect★ 1k
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conbio-data-analysisSkillAI & models
Use when executing and reporting the analysis for a Conservation Biology manuscript so it survives expert, double-blind review — appropriate ecological/statistical models, honest uncertainty, robustness, and reproducibility. Covers detection, hierarchical models, spatial structure, and effect sizes
Ready to connect★ 1k
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conference-on-health-inference-and-learningSkillAI & models
Use when targeting Conference on Health, Inference, and Learning (CHIL) 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 AI for health.
Ready to connect★ 1k
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conference-on-lifelong-learning-agentsSkillAI & models
Use when targeting Conference on Lifelong Learning Agents (CoLLAs) 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 continual learning.
Ready to connect★ 1k
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corl-related-workSkillAI & models
Use when positioning a CoRL paper against the literature — the robot-learning lineage across CoRL/RSS/ICRA, the ML-methods stream from NeurIPS/ICLR/ICML, the fast-moving VLA and foundation-model wave, classical robotics baselines, concurrent arXiv work, and PMLR citation hygiene including the year-o
Ready to connect★ 1k
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crim-data-analysisSkillAI & models
Use when executing and reporting the analysis for a Criminology (ASC / Wiley) manuscript so it survives expert review — honest uncertainty, robustness, and methods appropriate to crime counts, longitudinal panels, trajectory models, and recidivism survival. Guides analysis norms; it does not fabrica
Ready to connect★ 1k
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cscw-related-workSkillAI & models
Use when positioning a CSCW paper's related work — engaging the venue's own concept lineage, the PACMHCI-era literature, neighboring HCI venues, and the social sciences CSCW borrows from, with era-correct citations and anonymity-safe self-references for journal-model review.
Ready to connect★ 1k
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cscw-review-processSkillAI & models
Use when interpreting where a CSCW paper stands in review — the PACMHCI journal model's decision vocabulary (Revise for External Review, Revise and Resubmit, Conditional Accept), same-reviewer re-review, the rolling editorial board, and what each outcome statistically implied in the last cycle.
Ready to connect★ 1k
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cscw-supplementarySkillAI & models
Use when assembling supplementary materials for a CSCW submission — appendices, codebooks, interview guides, survey instruments, analysis code, and data extracts — deciding what accompanies a journal-model paper, anonymized end to end and consistent across R&R rounds.
Ready to connect★ 1k
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cscw-workflowSkillAI & models
Use when planning a CSCW submission timeline end to end — the PACMHCI journal model, the retired fixed cycles versus the rolling 2027+ pathway, Revise-and-Resubmit rounds that span months, and back-planning so an acceptance lands before the conference-year presentation cutoff.
Ready to connect★ 1k
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curranthro-data-analysisSkillAI & models
Use when executing and reporting the analysis/interpretation for a Current Anthropology (CA) manuscript so it survives expert review and the published CA✩ Comments — disciplined ethnographic/qualitative inference, honest interpretation, and (for biological/archaeological work) sound quantitative ana
Ready to connect★ 1k
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cvpr-review-processSkillAI & models
Use when reasoning about how CVPR review actually works at 16,000-submission scale, covering the OpenReview pipeline and timeline, reviewer-duty enforcement and desk rejects, the reviewer LLM ban, AC and discussion dynamics, oral/highlight/poster decision tiers, and calibrating expectations to a ~25
Ready to connect★ 1k
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devpsych-data-analysisSkillAI & models
Use when analyzing and reporting results for a Developmental Psychology (APA) manuscript. The journal expects analyses that model developmental change correctly — growth-curve/multilevel/SEM, mediation/moderation, measurement invariance — with effect sizes and confidence intervals, JARS-compliant di
Ready to connect★ 1k
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devpsych-tables-figuresSkillAI & models
Use when building tables and figures for a Developmental Psychology (APA) manuscript. The journal uses APA 7th-edition style and rewards exhibits that make developmental change visible — trajectory plots, age-on-the-x-axis figures, model-implied growth curves — with effect sizes and uncertainty. Des
Ready to connect★ 1k
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eacl-experimentsSkillAI & models
Use when designing or auditing the empirical evidence for an EACL paper, covering tuned and LLM baselines, multilingual breadth matched to the claim, significance and variance floors, human-evaluation agreement, data-contamination controls, ablations, and error taxonomies, so that every stated resul
Ready to connect★ 1k
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