Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
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70,704 results · page 737 of 2,357
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agsy-figures-and-tablesSkillAI & models
Use when building figures and tables for an Agricultural Systems (AgSy) manuscript so exhibits communicate interactions, dynamics, trade-offs, and model performance clearly. AgSy is a systems journal, so the best exhibits show trade-off frontiers, observed-vs-simulated fit, resource flows, and conce
Ready to connect★ 1k
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agsy-impact-and-implicationsSkillMedia
Use when articulating why an Agricultural Systems (AgSy) result matters — its relevance for farm design, management, decision support, or policy. AgSy values systems analysis that informs a decision, so this is what separates an AgSy paper from a methods demo. It frames implications honestly within
Ready to connect★ 1k
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agsy-literature-positioningSkillDev tools
Use when positioning an Agricultural Systems (AgSy) manuscript against the literature so it reads as a systems contribution. AgSy readers span agronomy, modelling, livestock, economics, environment, and food-system science, so the paper must engage the systems and modelling literatures they expect —
Ready to connect★ 1k
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agsy-reproducibility-and-data-policySkillAI & models
Use when preparing the data, code, and model materials for an Agricultural Systems (AgSy) manuscript. AgSy applies Elsevier's research-data policy, which treats software, code, and models as research data — deposit them in a repository and cite/link them, or state why they cannot be shared. Covers m
Ready to connect★ 1k
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agsy-review-processSkillDev tools
Use to understand how Agricultural Systems (AgSy) evaluates a manuscript — single-anonymized peer review with a minimum of two reviewers and an editor decision, desk screening for fit and systems content, what reviewers weigh, and the rapid-review track for Perspectives. Sets expectations and shapes
Ready to connect★ 1k
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agsy-revision-and-rebuttalSkillAI & models
Use when writing the response to an Agricultural Systems (AgSy) revision decision. AgSy review is single anonymized with at least two expert systems reviewers and an editor decision, and revisions often turn on model evaluation, sensitivity/uncertainty, and trade-off framing. The response must conve
Ready to connect★ 1k
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agsy-submissionSkillDev tools
Use when running the final pre-submission preflight for Agricultural Systems (AgSy) via the current Elsevier submission path / Editorial Manager — article-type selection, abstract <= 250 words, Highlights, graphical abstract, CRediT and declaration-of-interest statements, funding/AI disclosures, ref
Ready to connect★ 1k
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agsy-systems-framing-and-modelingSkillSearch
Use when framing the system and describing the model for an Agricultural Systems (AgSy) manuscript — defining system boundaries, components, hierarchical levels, and feedbacks, then choosing, describing, and calibrating the model (process/simulation, whole-farm, bio-economic, agent-based, or integra
Ready to connect★ 1k
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agsy-topic-selectionSkillDev tools
Use when deciding whether a project fits Agricultural Systems (AgSy) and which article type to target. AgSy is a systems-science journal, so the test is a genuine systems question — interactions among components, across hierarchical levels (field → farm → landscape → region → food system), trade-off
Ready to connect★ 1k
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agsy-workflowSkillDev tools
Use as the entry point for any Agricultural Systems (AgSy) manuscript. Routes to the right AgSy sub-skill based on where you are in the lifecycle and which article type (research paper, short communication, perspective, comment, review) fits. AgSy is a systems-science journal, so the router's first
Ready to connect★ 1k
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agsy-writing-styleSkillDev tools
Use when drafting or polishing an Agricultural Systems (AgSy) manuscript so it reads clearly for a systems-science audience, follows the journal's format, and meets front-matter requirements (abstract <= 250 words, Highlights, graphical abstract). Research papers run to about 8,000 words (no hard ca
Ready to connect★ 1k
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ahr-argument-developmentSkillMonitoring & ops
Use when turning archival findings into a sustained historical argument for The American Historical Review (AHR). The AHR rewards a clear thesis that earns its claims from evidence while remaining alert to contingency and complexity. Builds the argument and its stakes; it does not gather new sources
Ready to connect★ 1k
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ahr-citation-and-styleSkillDocs & knowledge
Use when formatting citations and notes for an American Historical Review (AHR) manuscript. The AHR follows the Chicago Manual of Style with all references in footnotes/endnotes — no bibliography or works-cited list and no in-text parenthetical citation. Gets the note apparatus right; it does not wr
Ready to connect★ 1k
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ahr-historiography-positioningSkillDev tools
Use when positioning an American Historical Review (AHR) manuscript within the historiography so it reads as an intervention, not a report. AHR readers are historians across fields who expect you to engage the relevant scholarship and say precisely what you change. Stakes the contribution against pr
Ready to connect★ 1k
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ahr-interpretation-and-methodSkillDev tools
Use when choosing and defending an interpretive approach for an American Historical Review (AHR) manuscript — social, cultural, intellectual, political, economic, transnational, global, microhistory, or the history of knowledge. The AHR welcomes many methods judged on their own terms. Sharpens inter
Ready to connect★ 1k
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ahr-review-processSkillDev tools
Use to understand how The American Historical Review (AHR) evaluates a manuscript — double-blind anonymous review by at least six scholars, a six-to-eight-month timeline, an 8-10% acceptance rate, and the large commissioned book/media review section. Sets expectations and shapes the article to survi
Ready to connect★ 1k
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ahr-revision-and-responseSkillDev tools
Use when responding to an American Historical Review (AHR) decision — a revise-and-resubmit or rejection. AHR articles are read by at least six demanding specialists, so the response must address expert reports while protecting the argument and keeping the manuscript anonymized. Structures the revis
Ready to connect★ 1k
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ahr-sources-and-archivesSkillDocs & knowledge
Use when handling primary sources and archives for an American Historical Review (AHR) manuscript — distinguishing primary from secondary, criticizing sources, citing manuscripts and collections in Chicago notes, and clearing image permissions. The AHR judges history on the quality and criticism of
Ready to connect★ 1k
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ahr-structure-and-expositionSkillDocs & knowledge
Use when organizing an American Historical Review (AHR) article so narrative and analysis work together within the roughly 8,000-word target (notes excluded). The AHR prizes articles that tell a story and argue a point at once. Shapes structure and flow; it does not generate the underlying argument
Ready to connect★ 1k
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ahr-submissionSkillDocs & knowledge
Use when running the final pre-submission preflight for The American Historical Review (AHR) via ScholarOne — masked-author preparation, the roughly 8,000-word target, Chicago notes, manuscript formatting, image alt-text and permissions, and the exclusivity declaration. Final checks; it does not dra
Ready to connect★ 1k
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ahr-topic-selectionSkillDev tools
Use when deciding whether a history project fits The American Historical Review (AHR) and how to frame its significance. The AHR is the discipline's generalist flagship across all periods and places, so the test is significance to historians beyond your subfield, not local novelty alone. Helps frame
Ready to connect★ 1k
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ahr-workflowSkillDev tools
Use as the entry point for any American Historical Review (AHR) manuscript. Routes to the right AHR sub-skill based on where you are in the lifecycle of a history article — from significance and historiography through archives, interpretation, Chicago-style prose, review, and revision. It dispatches
Ready to connect★ 1k
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ahr-writing-styleSkillDev tools
Use when drafting or polishing the prose of an American Historical Review (AHR) manuscript so it reads with clarity and authority for historians across all fields. The AHR rewards lucid, narrative-aware scholarly prose, not jargon. Tightens voice and readability; it does not invent content or argume
Ready to connect★ 1k
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aiche-journalSkillDev tools
Use when targeting AIChE Journal or deciding whether a chemical-engineering manuscript fits this venue. Encodes the journal's fit, the fundamental-and-generalizable contribution bar, modeling-plus-experiment rigor, house style, the fundamentals-vs-applied routing, official-submission re-check, and d
Ready to connect★ 1k
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aistats-artifact-evaluationSkillMonitoring & ops
Guides your agent in packaging AISTATS code, data, proofs, notebooks, and logs as supplementary or public artifacts.
Ready to connect★ 1k
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aistats-author-responseSkillDev tools
Helps your agent draft author responses and reviewer discussion replies for AISTATS papers on OpenReview.
Ready to connect★ 1k
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aistats-camera-readySkillDev tools
Guides your agent through preparing accepted AISTATS papers for final camera-ready submission to PMLR.
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-related-workSkillDev tools
Guides an agent to position an AISTATS paper's related-work section against AI, ML, and statistics literature.
Ready to connect★ 1k
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aistats-reproducibilitySkillDatabases & data
Lets your agent strengthen AISTATS reproducibility evidence using the official checklist, seeds, baselines, and audits.
Ready to connect★ 1k
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What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
68,574 of the 70,704 skills listed here can be served through Ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your workspace and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.