Topic: agentic-workflow
2,980 skills in this topic.
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svg-optimizer
Optimize SVG assets, generate sprites, and convert to React components
a5c-ai/babysitter 514
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docs-accessibility
Documentation accessibility validation and remediation. Check WCAG 2.1 compliance, validate alt text, analyze heading hierarchy, verify color contrast, and generate accessibility reports.
a5c-ai/babysitter 514
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diagram-generation
Multi-format diagram generation from text descriptions. Create Mermaid, PlantUML, D2, and Graphviz diagrams including flowcharts, sequence diagrams, architecture diagrams (C4), and data models.
a5c-ai/babysitter 514
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accessibility-report
Generate accessibility compliance reports including VPAT and ACR documents
a5c-ai/babysitter 514
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confluence-docs
Atlassian Confluence integration for enterprise documentation. Create and update pages via API, manage spaces and permissions, handle content migration, and sync between Markdown and Confluence.
a5c-ai/babysitter 514
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responsive-image
Generate responsive image sets with srcset, WebP/AVIF conversion, and art direction
a5c-ai/babysitter 514
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translation-management
Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines.
a5c-ai/babysitter 514
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code-sample-validator
Extract, validate, and test code samples in documentation. Verify syntax, execute samples, check outputs, validate imports, and ensure code samples are up-to-date with current APIs.
a5c-ai/babysitter 514
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tech-writing-lint
Automated technical writing style and quality enforcement. Lint documentation with Vale, check for inclusive language, enforce style guides, and analyze readability metrics.
a5c-ai/babysitter 514
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prototype-interaction
Define and document prototype interactions, transitions, and hotspots
a5c-ai/babysitter 514
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storybook-docs
Storybook integration for UI component documentation. Configure docs addon, generate component documentation from stories, write MDX documentation, and integrate with design systems.
a5c-ai/babysitter 514
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asyncapi-docs
AsyncAPI specification handling for event-driven API documentation. Parse, validate, and generate documentation for message-based APIs including Kafka, MQTT, WebSocket, and AMQP systems.
a5c-ai/babysitter 514
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tracing-schema-generator
Generate distributed tracing schemas for OpenTelemetry with Jaeger/Zipkin integration
a5c-ai/babysitter 514
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mermaid-renderer
Render Mermaid diagrams to images with theme customization and Markdown integration
a5c-ai/babysitter 514
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module-systems
Expert skill for designing module systems including resolution algorithms, import/export mechanisms, visibility control, namespace management, and cyclic dependency handling.
a5c-ai/babysitter 514
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Memory Allocator
Expert skill for custom memory allocator design optimized for language runtime needs
a5c-ai/babysitter 514
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log-schema-generator
Generate structured logging schemas with correlation ID patterns and ELK/Splunk integration
a5c-ai/babysitter 514
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macro-systems
Expert skill for designing and implementing macro systems including hygienic macros, procedural macros, and macro expansion. Supports pattern-based macros, quasi-quotation, and hygiene management.
a5c-ai/babysitter 514
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load-test-generator
Generate load test scripts for k6, Locust, and Gatling from OpenAPI specs
a5c-ai/babysitter 514
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procedural-animation
Procedural animation skill for IK solvers and physics-driven animation.
a5c-ai/babysitter 514
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mkdocs-material
MkDocs with Material theme expertise for Python-centric documentation. Configure navigation, plugins, multi-language support, PDF export, and advanced Material theme features.
a5c-ai/babysitter 514
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dialogue-ai
Dialogue system skill for branching conversations and response generation.
a5c-ai/babysitter 514
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animation-rigging
Character rigging skill for IK constraints.
a5c-ai/babysitter 514
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cuda-graphs
Expert skill for CUDA Graph capture and optimization for reduced launch overhead. Capture CUDA operations into graphs, instantiate and execute graph instances, update graph node parameters, profile graph vs stream execution, design graph-friendly kernel patterns, and optimize launch latency for inference.
a5c-ai/babysitter 514