How many data skills are there?

We list 36 AI agent skills related to data.

Data Skills

There are 36 AI agent skills in our directory.

AI agent skills related to data. We catalog 36 skills that mention data in their name or description.

Updated June 2026

0xworkFind and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, post tasks with bounties, check earnings or wallet balance, sell digital products, list services, or set up as a 0xWork worker/poster. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: managing the 0xWork platform or frontend development.
316-frameworks-spring-mongodb-migrations-mongockUse when you need to add or review Mongock MongoDB data migrations in a Spring Boot application — including Maven coordinates, Spring Data MongoDB drivers, migration scan packages, @ChangeUnit classes, lock/transaction settings, and Testcontainers verification. This should trigger for requests such as Add Mongock migrations in Spring Boot; Review Spring MongoDB data migrations; Configure Mongock change units for Spring Data MongoDB. Part of cursor-rules-java projectApache-2.0
512-frameworks-micronaut-dataUse when you need data access with Micronaut Data — @MappedEntity, CrudRepository/PageableRepository, @Query with parameters, @Transactional services, projections, @Version, and @MicronautTest with TestPropertyProvider and Testcontainers. For raw java.sql access without generated repositories, use @511-frameworks-micronaut-jdbc. This should trigger for requests such as Review or implement Micronaut Data repositories and entities; Add transactions, pagination, or projections in Micronaut persistence layer. Part of cursor-rules-java projectApache-2.0
513-frameworks-micronaut-db-migrations-flywayUse when you need to add or review Flyway database migrations in a Micronaut application — micronaut-flyway, db/migration scripts, flyway.datasources.* configuration, and alignment with JDBC or Micronaut Data. This should trigger for requests such as Add or review Flyway migrations in a Micronaut project; Configure micronaut-flyway or db/migration layout. Part of cursor-rules-java projectApache-2.0
6sense-intent6sense intent data and anonymous buyer identification platform
a-share-fragmentationA股市场分割/跨市场微结构分析。当用户说"市场分割"、"fragmentation"、"跨市场"、"沪深差异"、"A-H"、"多市场"、"市场割裂"时触发。基于 cn-stock-data 获取数据，分析跨市场微结构差异。支持 formal/brief 两种输出风格。
a2uiGenerate A2UI 0.8 protocol compliant UI code. Use when building agent-driven interfaces, generating JSONL messages for surfaceUpdate/dataModelUpdate/beginRendering, creating forms, lists, cards, or any UI components that render across web/mobile/desktop platforms.
aads-architectDesign architecture and contract changes for AADS-ULoRA with explicit module boundaries, compatibility strategy, and testable acceptance criteria. Use for interface, config-schema, data-flow, and cross-module redesign decisions before implementation.
ab-test-analysisAnalyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
abridge-local-dev-loopConfigure Abridge local development with FHIR server, synthetic data,MIT
academic-plottingGenerates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.MIT
academic-searchSearch configured academic metadata sources for a research topic and save numbered abstract-level results.
acc-create-domain-eventGenerates DDD Domain Events for PHP 8.5. Creates immutable event records with metadata, past-tense naming. Includes unit tests.
add-backend-testingAdd backend integration testing with Vitest to an existing app. Sets up isolated test database schema and writes tests for tRPC routers.
add-uiGenerate 5 distinct, production-grade UI variations for a requested new or existing section, component, page, flow, or shell, then help the user preview and apply one. Use when the user asks to add or redesign UI like a hero, pricing, navbar, auth flow, dashboard shell, ecommerce surface, or data component.
adhxFetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.
adobe-data-handlingImplement data handling for Adobe APIs including PII redaction in logs,MIT
advanced-renderingMaster high-performance rendering for large datasets with Datashader. Use this skill when working with datasets exceeding 100M+ points, optimizing visualization performance, or implementing efficient rendering strategies with rasterization and colormapping techniques.
aeonThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.licensed
affinity-diagramOrganize qualitative research data into an affinity diagram with themes, clusters, and insight statements. Use when synthesizing large amounts of qualitative data from interviews, observations, or surveys.
aflow-materials-discoveryAFLOW automatic materials discovery skill for high-throughput DFT calculations and materials database queries
agent-browserAutomates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
agent-browserBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
agent-browserBrowser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
agent-business-analystExpert business analyst specializing in requirements gathering, process improvement, and data-driven decision making. Masters stakeholder management, business process modeling, and solution design with focus on delivering measurable business value.
agent-context-managerExpert context manager specializing in information storage, retrieval, and synchronization across multi-agent systems. Masters state management, version control, and data lifecycle with focus on ensuring consistency, accessibility, and performance at scale.
agent-data-engineerExpert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-optimized data platforms.
agent-data-researcherExpert data researcher specializing in discovering, collecting, and analyzing diverse data sources. Masters data mining, statistical analysis, and pattern recognition with focus on extracting meaningful insights from complex datasets to support evidence-based decisions.
agent-legal-advisorExpert legal advisor specializing in technology law, compliance, and risk mitigation. Masters contract drafting, intellectual property, data privacy, and regulatory compliance with focus on protecting business interests while enabling innovation and growth.
agent-mcp-developerExpert MCP developer specializing in Model Context Protocol server and client development. Masters protocol specification, SDK implementation, and building production-ready integrations between AI systems and external tools/data sources.
agent-performance-engineerExpert performance engineer specializing in system optimization, bottleneck identification, and scalability engineering. Masters performance testing, profiling, and tuning across applications, databases, and infrastructure with focus on achieving optimal response times and resource efficiency.
agent-trajectory-safety-risk-diagnosisUse this skill when a user wants evaluator data for judging whether an agent’s actions were safe or unsafe based on its interaction record with tools or environments. Trigger it when ordinary users say things like 'check if the agent did something dangerous', 'judge whether the action trail is risky', 'make safety-monitor data from agent logs', or 'find cases where the agent looked helpful but caused harm'. Plain-language examples include: 'evaluate whether the trajectory is safe', 'make judge data for risky tool use', 'analyze unsafe multi-step agent actions', and 'test if the evaluator can spot hidden safety problems in logs'.
agentic-kaggle-skillKaggle-first end-to-end competition workflow for scored submissions. Use when Codex must run Kaggle or competitive ML workflows through scored submission, including code competitions, validation, metrics, policy-safe public notebook/discussion intel, tabular/text/image modeling, tuning, ensembling/stacking, proactive multi-notebook architectures, producer notebooks that train models and export private Kaggle artifact datasets, downstream consumer notebooks, Kaggle GPU offload, kagglehub access, hidden-test debugging, and public score retrieval.
agents-meet-rlTroubleshooter for agentic-RL training, evaluation, and experiment design on LLM agents (single or multi-agent, multi-turn, tool-augmented). Routes a user's symptom to fixes anchored in the corpus. TRIGGER when: user is training, evaluating, or designing experiments for an RL-trained LLM agent; symptoms like reward not moving, eval flat, KL/entropy/length blow-ups, retokenization drift, tool-call parse failures, credit assignment, async-rollout staleness, judge inconsistency, benchmark contamination, pass@k vs pass@1; choices about ablation, baseline, framework, algorithm, reward, or data curation; user names GRPO, PPO, DAPO, veRL, OpenRLHF, slime, AReaL, RAGEN, or similar. SKIP: generic supervised LLM fine-tuning with no RL component; classical RL theory or tabular RL; non-LLM agents. Distilled from the AgentsMeetRL awesome list, snapshot 2026-06-20.
agentsociety-create-datasetUse when packaging, validating, or publishing a dataset to the AgentSociety platform for later sharing or reuse.
agentuity-cli-cloud-keyvalue-replStart an interactive repl for working with keyvalue database. Requires authentication. Use for Agentuity cloud platform operationsApache-2.0

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