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All Skills

Total 54,018 skills, Data Processing has 2767 skills

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Showing 12 of 2767 skills

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Data Processingnansen-ai/nansen-cli

nansen-wallet-attribution

Cluster and attribute related wallets — funding chains, shared signers, CEX deposit patterns. Use when tracing wallet ownership, governance voters, or related address clusters.

🇺🇸|EnglishTranslated
35
Data Processingaxiomhq/skills

spl-to-apl

Translates Splunk SPL queries to Axiom APL. Provides command mappings, function equivalents, and syntax transformations. Use when migrating from Splunk, converting SPL queries, or learning APL equivalents of SPL patterns.

🇺🇸|EnglishTranslated
35
2 scripts/Attention
Data Processinglubusin/agent-skills

frappe-reports

Create reports in Frappe including Report Builder, Query Reports (SQL), and Script Reports (Python + JS). Use when building data analysis views, dashboards, or custom reporting features.

🇺🇸|EnglishTranslated
35
Data Processingmims-harvard/tooluniverse

tooluniverse-proteomics-analysis

Analyze mass spectrometry proteomics data including protein quantification, differential expression, post-translational modifications (PTMs), and protein-protein interactions. Processes MaxQuant, Spectronaut, DIA-NN, and other MS platform outputs. Performs normalization, statistical analysis, pathway enrichment, and integration with transcriptomics. Use when analyzing proteomics data, comparing protein abundance between conditions, identifying PTM changes, studying protein complexes, integrating protein and RNA data, discovering protein biomarkers, or conducting quantitative proteomics experiments.

🇺🇸|EnglishTranslated
35
Data Processinggithub/awesome-copilot

power-bi-model-design-review

Comprehensive Power BI data model design review prompt for evaluating model architecture, relationships, and optimization opportunities.

🇺🇸|EnglishTranslated
35
Data Processinggemini-cli-extensions/dat...

data-autocleaning

Automated data quality and transformation capabilities for Dataform/dbt/BigQuery pipelines. Processes data sourced from BigQuery or Cloud Storage (GCS), applying best practices for data ingestion, movement, schema mapping, and comprehensive data cleaning.

🇺🇸|EnglishTranslated
35
1 scripts/Checked
Data Processinglinkfox-ai/linkfox-skills

linkfox-fastmoss-product-search

基于FastMoss数据搜索和筛选TikTok全球电商商品,支持关键词搜索、多维度筛选(类目、店铺类型、佣金率、销量、达人数等)和排序。当用户提到TikTok选品、TikTok商品搜索、TikTok产品数据、TikTok达人带货、TikTok佣金率、TikTok爆款追踪、TikTok GMV分析、TikTok product search, TikTok product research, TikTok creator sales, TikTok commission rate, TikTok GMV analysis, FastMoss时触发此技能。即使用户未明确提及"FastMoss",只要其需求涉及在TikTok平台搜索商品数据或分析商品表现,也应触发此技能。

🇺🇸|EnglishTranslated
34
1 scripts/Checked
Data Processingnansen-ai/nansen-cli

nansen-smart-money-trend

Has SM been in this token for weeks, or did they just enter? Are they still buying?

🇺🇸|EnglishTranslated
34
Data Processingaradotso/data-skills

datatalks-data-engineering-zoomcamp

Free 9-week data engineering course covering Docker, Terraform, Kestra, BigQuery, dbt, Spark, and Kafka with hands-on projects

🇺🇸|EnglishTranslated
34
Data Processinganthropics/knowledge-work...

customer-pulse-check

Synthesizes themes from PayPal disputes, HubSpot tickets, and review exports into a top-3 fixable issues list with drafted response templates. Accepts optional since-date argument.

🇺🇸|EnglishTranslated
34
Data Processingjoellewis/finance_skills

fixed-income-sovereign

Analyze government bonds including US Treasuries, yield curves, duration, convexity, and TIPS. Use when the user asks about Treasury bonds, sovereign debt, yield curve construction, interest rate risk, duration, convexity, TIPS, or breakeven inflation rates. Also trigger when users mention 'T-bills', 'T-notes', 'bond pricing', 'yield to maturity', 'inverted yield curve', 'forward rates', 'spot rates', 'DV01', 'real yields', or ask how bonds react to interest rate changes.

🇺🇸|EnglishTranslated
34
1 scripts/Checked
Data Processingmicrosoftdocs/agent-skill...

azure-data-factory

Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing ADF pipelines, mapping data flows, SHIR/SSIS IR, SAP CDC, or CI/CD with ARM/DevOps, and other Azure Data Factory related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics), Azure Data Explorer (use azure-data-explorer).

🇺🇸|EnglishTranslated
34
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