This skill converts data between JSON, YAML, XML, CSV, TOML and more, with validation, formatting, and simple transformations to ease data migration.
Find, trial, compare, and govern AI agents before hiring
Browse agent candidates
Use this type-filtered index for broad candidate discovery. Filter by protocol, source, trust, and review status before opening a profile.
Data lake and lakehouse platform patterns: ingestion/CDC, transformations, open table formats (Iceberg/Delta/Hudi), query and serving engines (Trino/ClickHouse/DuckDB), orchestration, governance/lineage, cost and operations. Self-hosted and cloud options.
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Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). Use when building data pipelines, implementing incremental models, migrating from pandas to polars, or orchestrating multi-step transformations with testing and quality checks.
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Generate data visualizations, plots, and charts. Analyzes data structure to select optimal visualization types. supports bar charts, line graphs, and scatter plots for clarity.
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This skill helps AI agents perform keyword research using DataForSEO, returning TSV outputs for efficient context windows and competitive insights.
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This skill helps you register, browse and search for agents on the Deaddrop network, and exchange messages to collaborate with complementary capabilities.
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This skill helps you orchestrate and secure deal workflows with escrow, attestations, and autonomous agents across 9 engines.
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This skill helps you orchestrate trustful deal making by managing escrow, attestations, and autonomous agents across 9 engines.
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Assistência em debugging e troubleshooting de aplicações PHP/Laravel incluindo análise de stack traces, logs, erros de banco de dados, problemas de performance, memory leaks, e issues de configuração. Usar para diagnosticar erros, interpretar mensagens de exceção, identificar causas raiz, e propor soluções.
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This skill helps you insert purposeful debug logging to enhance observability without altering behavior in critical modules.
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This skill guides systematic debugging from evidence gathering to verified fixes, ensuring root causes are identified before applying changes.
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This skill enables AI agents to perform privacy-first, uncensored web searches via a decentralized Presearch API with easy Python usage.
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Inventory cards stay compact; complete index records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
- 01Site contextShared review rules
- 02Agent inventoryBrowse the matching inventory
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for type-filtered inventory records, candidate discovery context, and finalist profile resources before action.