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 573 of 2,113
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economic-aspectsSkillDev tools
Use when targeting 《经济纵横》(Economic Review Journal — 吉林省社会科学院/社科联主办的综合性经济理论月刊, 1985 年创刊, 不收版面费/审稿费) or deciding whether a Chinese econ/policy manuscript fits this venue. Encodes the journal's fit, framing, fee-free policy, abstract/keyword house style, official-submission re-check, and desk-reject he
Ready to connect★ 1k
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economic-policySkillDev tools
Use when targeting Economic Policy or deciding whether a policy-oriented economics manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, the panel-review route, official-submission re-check, and desk-reject heuristics.
Ready to connect★ 1k
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economic-problemsSkillDev tools
Use when targeting 《经济问题》(Economic Problems — 山西省社会科学院主管主办的综合性经济理论学术月刊, 1979 年创刊) or deciding whether a Chinese econ/management manuscript fits this venue. Encodes the journal's fit, framing, fee-free policy and review timeline, house style, official-submission re-check, and desk-reject heuristics.
Ready to connect★ 1k
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economic-scienceSkillDev tools
Use when targeting 《经济科学》(Economic Science) or deciding whether a Chinese social-science/econ/management manuscript fits this journal. Applies the journal's fit, framing, method, house-style, official-submission-check, and desk-reject heuristics.
Ready to connect★ 1k
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ecopol-identificationSkillAI & models
Use when the identification argument is the bottleneck for an Economic Policy (EP) manuscript — causal identification of a policy effect, or parameter identification in a quantitative policy model. Stress-tests it to the EP bar (credible to an academic discussant, legible to a policy discussant) bef
Ready to connect★ 1k
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ecopol-literature-positioningSkillDev tools
Use when staking an Economic Policy (EP) manuscript's contribution against the live policy debate and the adjacent academic literature. Sharpens the policy-and-academic positioning; it does not invent evidence or citations.
Ready to connect★ 1k
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ecopol-rebuttalSkillDev tools
Use when responding to Economic Policy (EP) discussant comments and the panel debate — revising the paper for the camera-ready version that publishes alongside those comments. Plans the post-panel response; it does not invent evidence or citations.
Ready to connect★ 1k
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ecopol-theory-modelSkillAI & models
Use when building or tightening the conceptual frame or quantitative model that disciplines an Economic Policy (EP) manuscript's policy logic. Keeps the model minimal-but-honest and legible to a policy audience; it does not invent evidence or citations.
Ready to connect★ 1k
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ecopol-topic-selectionSkillDev tools
Use when judging whether a topic is a timely, important policy question the Economic Policy (EP) Panel would commission and want to debate. Tests Panel-worthiness and policy timeliness; it does not invent evidence or citations.
Ready to connect★ 1k
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ecta-referee-strategySkillDev tools
Use to red-team an Econometrica manuscript before submission and to anticipate co-editor and referee objections — proof gaps, generality, missing finite-sample evidence, and competing methods. Predicts and pre-empts attacks; it does not draft the response letter after reports arrive (use ecta-rebutt
Ready to connect★ 1k
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ecta-replication-packageSkillMedia
Use when assembling the code and data deposit for an Econometrica manuscript under the journal's Data and Code Availability Policy, including reproducible Monte Carlo and (for empirical work) data provenance. Builds and audits the replication package; it does not design the simulations (use ecta-rob
Ready to connect★ 1k
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ecta-topic-selectionSkillAI & models
Use when judging whether a result is general, deep, and method-driven enough to belong in Econometrica, and when sharpening the contribution statement. Diagnoses fit and frames the contribution — it does not write proofs (use ecta-theory-model) or position against the literature (use ecta-literature
Ready to connect★ 1k
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ecta-workflowSkillDev tools
Use when deciding which ecta-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for an Econometrica manuscript. Routes — does not replace — the specialized skills.
Ready to connect★ 1k
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ecta-writing-styleSkillAI & models
Use as a late-stage polish for an Econometrica manuscript to enforce the terse, formal, theorem-numbered house style and clean mathematical exposition. Polishes prose and notation; it does not fix the proof (use ecta-theory-model) or the simulations (use ecta-robustness).
Ready to connect★ 1k
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ectheory-contribution-framingSkillMonitoring & ops
Use to frame the central result of an Econometric Theory (ET) paper so its generality and importance are legible — stating the theorem and its scope up front, choosing Article vs Miscellanea framing, and matching the new editorial program's themed directions.
Ready to connect★ 1k
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ectheory-rebuttalSkillMonitoring & ops
Use when an Econometric Theory (ET) decision letter arrives and a response strategy and letter are needed — handling proof-checking referee objections, fixing assumptions and gaps, and using the online Supplement, then writing a point-by-point response. It structures the revision, not the proofs the
Ready to connect★ 1k
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ectheory-topic-selectionSkillMonitoring & ops
Use when deciding whether a result is the right kind of contribution for Econometric Theory (ET) — a general, foundational econometric-theory result (asymptotics, proofs, theorems) rather than an applied estimate, and whether it fits a full Article or a short Miscellanea.
Ready to connect★ 1k
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ectheory-writing-styleSkillMonitoring & ops
Use to polish the prose, notation, and proof exposition of an Econometric Theory (ET) manuscript — theorem-proof clarity, consistent notation, APA author-date references, and ET manuscript-prep specs (11pt, 1.5 spacing, 1.25in margins, 200-word abstract, 40-char running head).
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-camera-readySkillDev tools
Use when preparing an accepted EDBT paper for its OpenProceedings camera-ready, covering the host/OpenProceedings LaTeX template, the CC-BY-NC-ND open-access license and copyright form, ISBN/volume metadata, integrating reviewer-required changes without scope creep, permanentizing artifact links, an
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-supplementarySkillDatabases & data
Use when deciding what belongs in an EDBT paper body versus its artifact and appendices, covering the per-shape page budget with unlimited references, the rule that decision-critical evidence stays inside the reviewed pages, and how to split a database-systems paper between body and reproducible pac
Ready to connect★ 1k
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edbt-topic-selectionSkillDatabases & data
Use when deciding whether a data-management project belongs at EDBT or should be routed to SIGMOD, VLDB/PVLDB, ICDE, the co-located ICDT theory venue, or a database journal, and when choosing the EDBT paper shape (Regular / Experiments-&-Analysis / Vision) and the nearest submission cycle.
Ready to connect★ 1k
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edbt-writing-styleSkillDatabases & data
Use when revising an EDBT paper for a data-management contribution on the first page, a reproducibly described mechanism, an evaluation that survives a database-systems reviewer, honest scope, and disciplined use of the per-shape page budget (Regular / Experiments-&-Analysis / Vision) in the OpenPro
Ready to connect★ 1k
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eer-identificationSkillMedia
Use when the empirical causal-identification argument is the bottleneck for a European Economic Review (EER) manuscript — DiD/event-study, IV, RDD, or experiment. Stress-tests the design to EER's general-interest credibility bar before exhibits are finalized; it does not build the theory model or th
Ready to connect★ 1k
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eer-replication-packageSkillDev tools
Use when assembling the data and code deposit for a European Economic Review (EER) manuscript under Elsevier's mandatory replication policy. Builds a reproducible package and README; it does not run the analysis or write the paper.
Ready to connect★ 1k
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eer-robustnessSkillAI & models
Use when a European Economic Review (EER) result must be shown to survive specification, sample, measurement, and inference changes — the robustness battery referees demand. Builds the stress tests and organizes them; it does not establish the core identification or write the prose.
Ready to connect★ 1k
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eer-submissionSkillDev tools
Use when running the final pre-submission preflight for the European Economic Review (EER) via Editorial Manager — submission fee, single-anonymized review, Elsevier format and house-style rules, declarations, and the data/replication policy. Final checks; it does not draft content.
Ready to connect★ 1k
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elifeSkillAI & models
Use when targeting eLife or deciding whether a life-sciences manuscript fits this open-access life-sciences journal. Encodes eLife's unique Reviewed-Preprint model, fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
Ready to connect★ 1k
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emnlp-artifact-evaluationSkillDatabases & data
Use when packaging the artifacts of an EMNLP paper — datasets, annotation guidelines, prompts, evaluation code, and model outputs — as anonymous review-time evidence or public post-acceptance releases, with licensing, data statements, and the inspection order NLP reviewers actually follow.
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.
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.