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 736 of 2,357
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aeri-workflowSkillDev tools
Helps your agent pick and sequence the right aeri sub-skills for preparing an AER: Insights manuscript.
Ready to connect★ 1k
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aeri-writing-styleSkillDev tools
Guides your agent to revise economics journal manuscripts to fit AER: Insights length rules and structure.
Ready to connect★ 1k
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aerj-data-analysisSkillAI & models
Use when planning or reporting the analysis for an American Educational Research Journal (AERJ) manuscript — multilevel/HLM and growth models, IRT/measurement, quasi-experimental estimation, or qualitative coding and thematic analysis. Analysis must meet the AERA reporting standards (warrant + trans
Ready to connect★ 1k
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aerj-literature-positioningSkillDev tools
Use when positioning an American Educational Research Journal (AERJ) manuscript in the literature. AERJ readers span the whole field, so the paper must engage the literatures a general education-research audience expects and speak past its own subfield. Builds the positioning argument; it does not w
Ready to connect★ 1k
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aerj-rebuttalSkillDev tools
Use when writing the response to an American Educational Research Journal (AERJ) revise-and-resubmit. AERJ R&Rs come back through the handling editor and multiple masked reviewers, so the response must convert each reviewer while keeping the editor confident the revision is convergent. Structures th
Ready to connect★ 1k
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aerj-research-designSkillMedia
Use when defending the research design of an American Educational Research Journal (AERJ) manuscript — quantitative (multilevel, IRT, quasi-experimental, RCT), qualitative (case study, ethnography, interview), or mixed methods. AERJ judges each tradition on its own terms against the AERA reporting s
Ready to connect★ 1k
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aerj-review-processSkillDev tools
Use to understand how an American Educational Research Journal (AERJ) manuscript will be judged — masked/double-anonymous peer review, desk screening, integrated-journal fit, and decision categories. Sets expectations and informs strategy; it does not contact editors or reviewers.
Ready to connect★ 1k
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aerj-submissionSkillDev tools
Use when running the final pre-submission preflight for the American Educational Research Journal (AERJ) via ScholarOne Manuscripts — masked preparation, length and abstract limits, APA 7th-edition formatting, ORCID, and a separate title page. Final checks; it does not draft content.
Ready to connect★ 1k
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aerj-tables-figuresSkillDev tools
Use when building tables and figures for an American Educational Research Journal (AERJ) manuscript. Exhibits must be self-contained, accessible, and formatted to APA 7th edition, and they must be anonymized for masked review. Improves exhibits; it does not generate data.
Ready to connect★ 1k
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aerj-theory-and-frameworkSkillMedia
Use when building the conceptual or theoretical framework for an American Educational Research Journal (AERJ) manuscript. AERJ expects a clear framework that frames the question, guides the design and analysis, and elevates a result into a contribution to understanding. Strengthens the framework; it
Ready to connect★ 1k
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aerj-topic-selectionSkillDev tools
Use when deciding whether a topic fits the American Educational Research Journal (AERJ), now an integrated field-wide journal, and whether the manuscript's dominant education-research lens is clear. AERJ rewards broad significance to education research, not subfield-only description. Tests fit; it d
Ready to connect★ 1k
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aerj-transparency-and-data-policySkillDev tools
Use when preparing the transparency, reporting, and data-availability materials for an American Educational Research Journal (AERJ) manuscript. AERJ expects work to meet the AERA Standards for Reporting on Empirical Social Science Research (quantitative + qualitative) and the AERA Code of Ethics exp
Ready to connect★ 1k
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aerj-workflowSkillDev tools
Use as the entry point for any American Educational Research Journal (AERJ) manuscript. Routes to the right AERJ sub-skill based on where you are in the lifecycle and whether the manuscript's field-wide education-research fit is clear. It dispatches; it does not draft content.
Ready to connect★ 1k
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aerj-writing-styleSkillDev tools
Use when drafting or polishing the prose of an American Educational Research Journal (AERJ) manuscript. AERJ is read across the whole field, follows APA 7th-edition style, and expects a 100–120-word abstract within a maximum 50-page manuscript. Improves clarity and compliance; it does not ghostwrite
Ready to connect★ 1k
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aes-artifact-evaluationSkillDocs & knowledge
Use when preparing usability documentation for research artifacts (code, data, hardware designs, etc.) for a submission to Acta Electronica Sinica (AES). Chinese journals do not yet have an independent artifact evaluation badge committee; this skill explains the journal's current status, how to volu
Ready to connect★ 1k
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aes-author-responseSkillDocs & knowledge
Invoked when writing reviewer response letters and revision notes for Acta Electronica Sinica (AES). Suitable after receiving an editorial 'revise and resubmit' notice: responding point-by-point to external reviewers' comments, drafting a revision comparison table, marking changes in the manuscript,
Ready to connect★ 1k
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aes-camera-readySkillDev tools
Use when a manuscript has been accepted by Acta Electronica Sinica (AES) and enters the finalization, proofing, and galley stages. Covers post-acceptance copyright agreement signing, checking the Chinese/English title, abstract, keywords, and CLC number against the final layout specifications, resto
Ready to connect★ 1k
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aes-experimentsSkillDatabases & data
Use when designing and presenting experiments/simulations for manuscripts submitted to Acta Electronica Sinica (AES). Covers experimental goals and hypotheses, datasets and simulation setups, baselines and fairness of comparisons, evaluation metrics (SNR/BER/error/accuracy/resource usage), ablation
Ready to connect★ 1k
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aes-related-workSkillSearch
Invoke when writing the related work and literature review sections for a manuscript submitted to Acta Electronica Sinica (AES). Covers how to define the scope of the field, systematically search Chinese and international literature (CNKI/Wanfang/IEEE/dblp), organize the review by technical threads
Ready to connect★ 1k
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aes-reproducibilitySkillDev tools
Use when strengthening reproducibility and experimental repeatability for manuscripts submitted to Acta Electronica Sinica (AES). Covers recording experimental environments, controlling randomness, data and preprocessing transparency, complete disclosure of algorithm pseudocode and hyperparameters,
Ready to connect★ 1k
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aes-review-processSkillDev tools
Use when you need to understand the review process, manuscript statuses, and timelines of Acta Electronica Sinica (AES). Covers the multi-stage review chain from submission acceptance → editor's initial review → double-blind external review (peer review) → re-review → final decision by the Editor-in
Ready to connect★ 1k
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aes-submissionSkillDev tools
Invoked when performing a submission-readiness audit before formally submitting a manuscript to Acta Electronica Sinica (AES). Covers the ejournal.org.cn online submission system, registration and manuscript synchronization, official Word/LaTeX templates, Chinese and English abstracts and keywords,
Ready to connect★ 1k
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aes-supplementarySkillMedia
Use when organizing appendices and supplementary materials for manuscripts submitted to Acta Electronica Sinica (AES). Covers what belongs in the main text versus what should be moved to appendices/online supplementary materials, how to submit multimedia attachments (audio/video/signal waveforms/lar
Ready to connect★ 1k
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aes-topic-selectionSkillDev tools
Use when judging whether a topic fits Acta Electronica Sinica (AES) and locating the appropriate column/discipline direction. Covers the journal's disciplinary focus (electronic science and technology, information and communication engineering, signals and information processing, circuits and system
Ready to connect★ 1k
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aes-workflowSkillProductivity
Use when you need an end-to-end overview and stage scheduling for submitting to Acta Electronica Sinica (AES). Chains topic selection, writing, submission, double-blind external review, multi-level review, revision, acceptance, proofing, and publication into a single end-to-end timeline, indicating
Ready to connect★ 1k
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aes-writing-styleSkillDev tools
Use when polishing Chinese scientific paper writing according to the Acta Electronica Sinica (AES) guidelines. Covers Chinese and English titles, structured Chinese abstracts and English Abstracts, Chinese and English keywords, Chinese Library Classification (TN category), quantities, units and lega
Ready to connect★ 1k
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agricultural-and-forest-meteorologySkillDev tools
Use when targeting Agricultural and Forest Meteorology or deciding whether a land–atmosphere manuscript fits this venue. Encodes the journal's fit, the land–atmosphere-process and flux-measurement bar, micrometeorological evidence expectations, Elsevier house style, official-submission re-check, and
Ready to connect★ 1k
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agriculture-ecosystems-and-environmentSkillDev tools
Use when targeting Agriculture, Ecosystems & Environment or deciding whether an agroecosystem-environment manuscript fits this venue. Encodes the journal's fit, the field-to-landscape environmental-outcome bar, data-reporting expectations, house style, official-submission re-check, and desk-reject h
Ready to connect★ 1k
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agronomy-for-sustainable-developmentSkillDev tools
Use when targeting Agronomy for Sustainable Development or deciding whether an agronomy / farming-systems manuscript fits this venue. Encodes the journal's fit, the explicit-and-evidenced sustainability-contribution bar, evidence and data-reporting expectations, house style, official-submission re-c
Ready to connect★ 1k
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agsy-data-and-model-evaluationSkillAI & models
Use when evaluating the model and analyzing results for an Agricultural Systems (AgSy) manuscript so it survives expert systems review — independent model evaluation (observed vs. simulated, fit statistics), sensitivity and uncertainty analysis, and trade-off / scenario analysis across the system. G
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.