Agent Skills Hub

Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.

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142 skills found

EngineeringAutomationProductivity
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ops-devops-platform

DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.

Views: 3660
EngineeringProductivity
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metacognition

Enforces structured self-assessment checkpoints to validate approach, mitigate risks, and ensure quality before, during, and after task execution.

Views: 1440
EngineeringResearch
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doc-reader

Read and navigate external documentation efficiently using llms.txt, MCP search, and smart parsing strategies.

Views: 24384
EngineeringProductivity
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tzurot-council-mcp

Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.

Views: 108
Engineering
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response-compliance

Run OpenResponses API compliance tests to validate schema adherence, streaming responses, and endpoint reliability for LobeHub integrations.

Views: 475,883
EngineeringProductivityData AnalysisAutomation
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qras

A local RAG semantic memory system using Qdrant and Ollama. Ideal for recalling workspace files, notes, project decisions, and user preferences with high-relevance vector search.

Views: 149
EngineeringAutomation
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project-migrate

Intelligently migrate existing brownfield projects to the AgenticDev structure using AI-powered analysis to reorganize documentation, generate rich frontmatter, and preserve git history.

Views: 1211
EngineeringAutomation
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model-registry-maintainer

Maintain and update the MassGen model registry, including backend capabilities, model metadata, pricing structures, and context window configurations for new and existing AI models.

Views: 19969
EngineeringAutomation
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Hive Agent Architecture

Framework for building, registering, and orchestrating Model Context Protocol (MCP) tools and AI agent workflows within the Hive native Rust architecture.

Views: 211
ProductivityContent
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prompt-estruturado

A structured prompting framework to transform casual inputs into professional, modular LLM prompts with persona, context, task, format, and guardrails.

Views: 148
EngineeringProductivityAutomation
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claude-copilot

Analyze markdown documentation files to ensure compliance with predefined AI token budgets and optimize content for efficient AI ingestion.

Views: 813#tokens#documentation#budget#validation
EngineeringProductivityAutomation
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markdown-token-optimizer

Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.

Views: 25202