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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63,368 results · page 572 of 2,113

  • demog-data-analysisSkillDev tools

    Use when executing and reporting the analysis for a Demography (PAA / Duke University Press) manuscript so it survives expert, double-blind review — correct rate construction, honest uncertainty, and demographic methods done right (life tables, decomposition, event history, age-period-cohort). Guide

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  • demog-theory-buildingSkillDev tools

    Use when building the argument of a Demography (PAA / Duke University Press) manuscript into a population-science contribution — whether the work is formal/mathematical demography, an explanatory account of fertility/mortality/migration, or a measurement/decomposition advance. Demography rewards a c

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  • demog-topic-selectionSkillDev tools

    Use when deciding whether a project fits Demography (PAA / Duke University Press) and which article type to target. Demography is the multidisciplinary population-science flagship, so the test is general interest to demographers and a genuine population-change question, not just use of demographic d

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  • demog-workflowSkillDocs & knowledge

    Use as the entry point for any Demography (PAA / Duke University Press) manuscript. Routes to the right Demography sub-skill based on where you are in the lifecycle and which article type (Research Article, Research Note, Commentary) fits. It dispatches; it does not draft content.

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  • devpsych-open-science-and-transparencySkillProductivity

    Use when meeting Developmental Psychology's (APA) open-science and transparency expectations under the Transparency and Openness Promotion (TOP) guidelines — data and materials sharing with persistent identifiers, preregistration, sample-size justification, and JARS-consistent disclosure — with the

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  • devpsych-rebuttalSkillDev tools

    Use when writing the response to a Developmental Psychology (APA) revise-and-resubmit. Reviews here often demand measurement-invariance tests, attrition analyses, added robustness, fuller JARS disclosure, or stronger transparency. The response must address every point and strengthen the developmenta

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  • devpsych-theory-and-hypothesesSkillDev tools

    Use when stating the developmental theory and age-graded hypotheses for a Developmental Psychology (APA) manuscript. The journal rewards hypotheses that are explicitly about change (age effects, within-person trajectories, mechanisms) and a clean confirmatory/exploratory split under JARS. Structures

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  • devpsych-workflowSkillMedia

    Use when starting or navigating any Developmental Psychology (APA) manuscript and you are unsure which sub-skill applies. Use when choosing a manuscript length tier or returning with a decision letter. Routes by lifecycle stage and by the developmental design (cross-sectional, longitudinal/cohort, m

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  • devpsych-writing-styleSkillDev tools

    Use when drafting or polishing a Developmental Psychology (APA) manuscript to fit its house style — APA 7th edition, JARS-compliant reporting, the manuscript length tier (brief report to multi-study/longitudinal report), the abstract, and the required Public Significance Statement. Tightens prose an

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  • diabetes-careSkillDev tools

    Use when targeting Diabetes Care (ADA) or deciding whether a diabetes/endocrinology manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.

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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

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  • eacl-camera-readySkillDev tools

    Use when preparing an EACL or Findings-of-ACL-EACL camera-ready after commitment acceptance, covering the extra content page, de-anonymization, AI-assistance disclosure, satisfying the meta-review's required changes, ACL Anthology metadata and CC BY licensing, registration and presentation obligatio

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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

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  • eacl-topic-selectionSkillDev tools

    Use when deciding whether a project is EACL-shaped or better routed to ACL, EMNLP, NAACL, AACL, TACL, Computational Linguistics, LREC-COLING, COLM, or an ML venue, covering the long-versus-short choice, the accept-Findings calculus, and how EACL's single ARR cycle and irregular cadence affect the ro

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  • earth-and-planetary-science-lettersSkillDev tools

    Use when targeting Earth and Planetary Science Letters (EPSL) or deciding whether a quantitative solid-earth or planetary-science manuscript fits this venue. Encodes the journal's broad-interest process-science fit, the quantitative geochemistry/geophysics evidence bar, Elsevier house style, officia

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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

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  • earths-futureSkillDev tools

    Use when targeting Earth's Future (Earth's Future) or deciding whether an Anthropocene, Earth-system-futures, or sustainability manuscript fits this AGU open-access venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristi

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  • ecai-camera-readySkillProductivity

    Use when preparing the ECAI camera-ready — de-anonymizing, fitting the final version into the page budget, and meeting the publisher's production requirements, which differ by regime: IOS Press FAIA (ecai.cls, open-access book volume, copyright/consent-to-publish forms) for a standalone ECAI, versus

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  • ecai-review-processSkillDev tools

    Use when reasoning about how an ECAI submission is evaluated — double-blind review, the summary-reject first phase, area chairs / senior PC, the single author-response (rebuttal) window, an accept/reject decision (no journal-style major-revision round), and how ECAI's process and its joint IJCAI-ECA

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  • ecai-submissionSkillDev tools

    Use when auditing an ECAI submission for readiness — the abstract-then-full-paper two-deadline flow, the tight 7-page body budget, double-blind anonymity, the correct template/publisher regime (ecai.cls/FAIA for a standalone ECAI vs ijcai.sty/IJCAI proceedings for the joint IJCAI-ECAI 2026), the per

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  • ecai-supplementarySkillDev tools

    Use when deciding what goes in the ECAI 7-page body versus the anonymized supplement — splitting content by decision-criticality so nothing a reviewer needs to judge the paper lives outside the tight body, given there is no unlimited in-paper appendix and no separate artifact track.

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  • ecai-topic-selectionSkillProductivity

    Use before writing to decide whether a project belongs at ECAI versus IJCAI, AAAI, AAMAS, KR, or a pure-ML venue, and whether it should go to the ECAI main track or the co-located PAIS applications track — using contribution shape, the model-swap test, the European/general-AI fit, and the calendar (

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  • ecai-workflowSkillCommunication

    Use to plan an ECAI campaign end to end — run the single-round year backward from the paper deadline through the abstract/registration step, summary-reject phase, rebuttal window, notification, and the open-access camera-ready, adapting to whether the edition is a standalone ECAI (FAIA/PAIS) or the

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  • ecai-writing-styleSkillDev tools

    Use when writing or tightening an ECAI paper body — leading with a general-AI contribution on the first page, matching evidence to claim (a theorem and construction, or a fair empirical comparison), and doing it inside a 7-page body where every paragraph must earn its space.

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  • eccv-author-responseSkillDocs & knowledge

    Use when drafting an ECCV rebuttal — the optional one-page, two-column PDF answering three-plus reviews inside a nine-day window (reviews May 2, rebuttal due May 11 in 2026), with references counted inside the page, no venue-forbidden extras, and arguments sized for the area-chair discussion that fo

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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

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  • eccv-submissionSkillDev tools

    Use when auditing an ECCV submission for the two-step registration-then-paper deadline chain, the 14-page LNCS single-column limit, CET (not AoE) cutoffs, the trailing supplementary deadline, double-blind rules, the four-page dual-submission definition, the social-media embargo, and reviewer-duty ex

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  • eccv-workflowSkillProductivity

    Use when running an ECCV campaign end to end — the even-year calendar from February registration to the September conference, the retargeting triangle to CVPR and ICCV seen from the ECCV seat, where the 2026 cycle stands today, and backward planning a 2028 submission from the March deadline.

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  • eccv-writing-styleSkillDev tools

    Use when writing or revising an ECCV paper in the Springer LNCS single-column format — spending the 14-page budget (figures and tables included), LNCS-specific layout craft, first-page architecture for a mixed European panel, numbered-citation hygiene, and claims phrased to survive a one-page rebutt

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  • econometric-theorySkillMonitoring & ops

    Use when targeting Econometric Theory (ET) or deciding whether an econometric-theory manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.

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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.

61,234 of the 63,368 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.

See how to connect your AI