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backend-dev-guidelines

Open source alternatives to backend-dev-guidelines

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

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  2. O

    opensource-pipeline

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    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

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  3. A

    andrej-karpathy-skills

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    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

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  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

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  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

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  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About backend-dev-guidelines

B

backend-dev-guidelines

Build or review Langfuse backend code

backend-dev-guidelines is an agent skill from the Langfuse project's skills collection, listed on skills.sh. It is for building or reviewing Langfuse backend code, across the web, worker and shared packages folders of the monorepo. The skill applies to a set of typical backend tasks: creating or changing tRPC routers and procedures, public REST API endpoints, queue processors, producers and queue-backed workflows, backend services and repositories, and backend auth, middleware, validation and observability. It also covers Prisma and ClickHouse data access, adding a field, option, flag or enum member to shared backend code, and writing or fixing backend tests. The skill tells the agent how to read it, in the order its sections are arranged, so the rules for each task are followed. It is for engineers working on the Langfuse backend, or on a similar TypeScript backend that uses the same stack.

View backend-dev-guidelinesAll AI Skills apps
Price
Free
Made by
langfuse
Category
AI Skills
Website
github.com/langfuse/langfuse/backend-dev-guidelines