These paths are evidence-backed heuristics, not drop-in compatibility claims.
wquguru/skills -> langchain-ai/langchainCompatibility: medium / estimated cost: medium.Shared: category:agent_framework, deployment:docker, deployment:local, deployment:cloud, use_case:orchestrate LLM tools, use_case:prototype autonomous workflows, dependency:LLM provider.Gaps: Language changes from HTML to Python.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
wquguru/skills -> omnigent-ai/omnigentCompatibility: medium / estimated cost: medium.Shared: category:agent_framework, deployment:docker, deployment:local, deployment:cloud, use_case:orchestrate LLM tools, use_case:prototype autonomous workflows, dependency:LLM provider.Gaps: Language changes from HTML to Python.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
wquguru/skills -> avibe-bot/avibeCompatibility: unknown / estimated cost: unknown.Shared: none indexed.Gaps: Target project is not indexed in the current corpus.Validate: Index or inspect the target repository before planning a migration. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example in the requested deployment.