Claude Code Skills·Claude Skills·The open SKILL.md registry for Claude
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General-Purpose Claude Skills (Page 322 of 1083)

Productivity, automation, knowledge management, integrations, AI tooling, and general-purpose skills for Claude Code.

64,945 skills · updated 2026-06-13 · showing 19261–19320 of 64,945 by quality score

Sub-topics:Integrations (4,016)Automation (3,967)Ai Tooling (2,794)Orchestration Frameworks (1,389)Business Ops (1,386)Agents Skills Meta (1,236)Design Creative (1,178)Legal Compliance (922)

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Use when the user wants to import data into a connected platform — CRM contacts, email lists, audience segments, competitor data, or campaign data from CSV, JSON, or Google Sheets.
Managing the lifecycle of weapon and mod data from external sources to the local database
Procedures and playbooks for responding to data quality incidents, data loss, corruption, and pipeline failures.
Clean pasted, imported, or attached source data into workbook tables, contracts, named ranges, and checks.
Global data intake, validation, and normalization layer for ALL skills in the Agency Growth OS. ALWAYS trigger before any science or analytics skill when input arrives as CSV,…
Detects data integrity issues including orphaned records, broken foreign key relationships, constraint violations, and provides automated fix migrations.
Detects data integrity issues including orphaned records, broken foreign key relationships, constraint violations, and provides automated fix migrations.
Builds comprehensive data inventory per GDPR Art. 30 Records of Processing Activities. Covers system-by-system discovery, data flow diagramming, third-party identification, and…
Data lake and lakehouse platform patterns: ingestion/CDC, transformations, open table formats (Iceberg/Delta/Hudi), query and serving engines (Trino/ClickHouse/DuckDB),…
Prüft Datenlizenzen für Softwaretraining, Analytics, Benchmarking, KI, Produktverbesserung und Weitergabe im Softwarerecht De Eu Us.
Mapping the flow of data from source to destination for transparency, impact analysis, and troubleshooting.
Extracts and maps data lineage from various sources including SQL, dbt, Airflow, and Spark, generating comprehensive lineage graphs for impact analysis.
Data Lineage Tracker - Auto-activating skill for Data Pipelines. Triggers on: data lineage tracker, data lineage tracker Part of the Data Pipelines skill category.
Implements data lineage tracking for privacy compliance including origin tracking, transformation logging, access auditing, deletion verification, and cross-system lineage graphs.
LLM-app discipline — the three-tier assertion/judge/human eval ladder with no higher tier before the lower, cross-family judges, a single pinned model-version env var,…
Load data from files (CSV, JSON, JSONL, Parquet) or stdin for analysis and visualization with ggterm.
Choose the right batch size, parallel/serial mode, and load window for Data Loader, Bulk API V1/V2, and custom Database.executeBatch jobs against a given object volume and…
Mapping CSV columns to Salesforce field API names for Data Loader, dataloader.io, Workbench, and custom Bulk API V2 loads.
When and how to pre-validate a CSV against Salesforce picklist rules and record-type assignments BEFORE running a Data Loader / Bulk API insert or upsert — restricted picklists,…
Design and manage data storage effectively. Use when working with databases, schemas, or data migrations. Covers schema design, migrations, and data integrity.
Nutze diesen Skill für Phaser Data Manager, Registry, objektgebundene Daten, Change-Events und saubere Zustandsverwaltung.
Service-scoped data orchestration for TMNL. Invoke when implementing search, data streams, kernel systems, or Effect-based DAQ.
Greedy matching of centroid points to expert annotations based on standard Euclidean distance.
Expert-level guide to data mesh implementation. Comprehensive coverage of advanced concepts, production implementation, and optimization strategies.
Metabase REST API automation and troubleshooting: authenticate (API key preferred, session fallback), export/upsert questions (cards) and dashboards, standardize…
Plan and execute database migrations, data transformations, and system migrations safely with rollback strategies and data integrity validation.
Use this agent when reviewing PRs that touch database migrations, data backfills, or any code that transforms production data.
Plan and execute database migrations, data transformations, and system migrations safely with rollback strategies and data integrity validation.
Large-scale data migrations with validation, rollback, and zero-downtime strategies. Activate on: data migration, database migration, zero-downtime migration, dual-write,…
Validate data integrity during and after migration with comprehensive verification checks
Competence in data analytics and machine learning, enabling developers to build data-driven features and integrate AI/ML capabilities.
ML-pipeline discipline — every training run logged, lockfile-frozen environments, every seed pinned, the eval suite as a separate package the model never imports, a data hash per…
Adding new data models - schema, shared zod, entity pattern, and oRPC routes. Use when user asks to create a new entity, model, or feature that needs database tables.
Optional advanced tool for complex data modeling. For simple table creation, use relational-database-tool directly with SQL statements.
Use when designing, reviewing, or troubleshooting Salesforce object relationships and field type choices — lookup vs master-detail, junction object modeling, indexing strategy,…
Use when a BA or admin needs to document the Salesforce data model: creating field inventories, object relationship maps, ER diagrams, or analyzing field usage across objects.
Standards for generating Model Cards from data analysis notebooks. Aligned with Hugging Face and ISO transparency standards.
Data modeling with Entity-Relationship Diagrams (ERDs), data dictionaries, and conceptual/logical/physical models.
Use when reasoning about the foundational theory beneath data modeling: Codd's relational model (1970) and the algebra it sits on, the normal forms (1NF, 2NF, 3NF, BCNF, 4NF, 5NF)…
Data modeling with Entity-Relationship Diagrams (ERDs), data dictionaries, and conceptual/logical/physical models.
Use when asking about UTXO vs account models, ledger tokens, shielded/unshielded tokens, nullifiers, coins, balances, or choosing between token paradigms in Midnight.
myfy DataModule for database access with async SQLAlchemy. Use when working with DataModule, AsyncSession, database connections, connection pooling, migrations, or SQLAlchemy…
Neo4j graph database exploration via Cypher. Use when the user mentions Neo4j, Cypher, graph queries, nodes, relationships, or knowledge graph.
Data Normalization Tool - Auto-activating skill for ML Training. Triggers on: data normalization tool, data normalization tool Part of the ML Training skill category.
Coordinates data pipeline tasks (ETL, analytics, feature engineering). Use when implementing data ingestion, transformations, quality checks, or analytics.
Coordinates data pipeline tasks (ETL, analytics, feature engineering). Use when implementing data ingestion, transformations, quality checks, or analytics.
Data Partitioner - Auto-activating skill for Data Pipelines. Triggers on: data partitioner, data partitioner Part of the Data Pipelines skill category.
Implements data persistence systems including DataStore patterns, session locking, data migration, error handling, and backup systems.
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
Designs ETL/ELT data pipelines with proper extraction, transformation, and loading patterns, including orchestration, error handling, and data quality validation.
Expert data engineer for ETL/ELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data warehouse, Spark, Kafka, Airflow, dbt, data modeling, star…
Develop and manage data ingestion, processing, and transformation pipelines for pilot projects. Use when automating ETL workflows, integrating new data sources, or building…
Follow these patterns when implementing data pipelines, ETL, data ingestion, or data validation in OptAIC.
Process data files through transformation pipelines with validation, cleaning, and export. Use for CSV/Excel/JSON data processing, encoding handling, batch operations, and data…
Design an ETL/ELT data pipeline specification. Use when asked to design a data pipeline, spec an ETL or ELT process, document a data ingestion workflow, or plan a data…
Data cleaning, profiling, transformation, and quality gates -- prepares raw data for visualization and analysis
Load and preprocess imaging mass cytometry (IMC) and MIBI data. Covers MCD/TIFF handling, hot pixel removal, and image normalization.
Draft and fill data privacy agreement templates — DPA, data processing agreement, GDPR, HIPAA BAA, business associate agreement, AI addendum.
Data privacy and regulatory compliance specialist for GDPR, CCPA, HIPAA, and international data protection laws.
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic d — from…
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