OpenAPI 2 Skill – progressive disclosure of OpenAPI specs for agents
Progressive disclosure beats MCP tool flooding for large OpenAPI specs.

It extracts focused, executable operations from giant OpenAPI files (the GitHub REST YAML is shown) to shrink context and avoid sidecar adapter sprawl — a pragmatic answer to token bloat and brittle ad-hoc integrations. Useful and concrete: if it actually generates tidy, updateable skill units and runtime hooks it saves a lot of maintenance. That said, the idea competes with existing LangChain/openai-function patterns; the repo will need clear runtime, versioning, and update strategies to feel like more than a nicer converter.
Backend engineers, ML engineers building agent integrations, platform/infra teams who expose APIs to LLMs
Progressive disclosure beats MCP tool flooding for large OpenAPI specs.
Native binary output beats curl wrappers when you need typed API commands.
Turns PDFs and videos into shareable agent skills—but competitors already exist.
Another OpenAPI-to-UI generator in a space dominated by Retool and Swagger.
Another spec framework competing with GitHub's spec-kit but as a skill file.
Curated skill collection for spec-driven AI development, competing with other prompt libraries.