Backend Dev Guidelines
OfficialHelps with backend development, guidelines as part of developing backend services and APIs workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add langfuse/langfuse --skill backend-dev-guidelines -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
langfuse
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned langfuse/langfuse at d59f50ea36.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- d59f50ea36
- Scanned
- 9 files, 5,087 lines
About this skill
What it does
This skill provides Langfuse-specific guidelines for backend development, helping AI agents adhere to best practices when building or modifying Langfuse infrastructure. It ensures consistency in code structure, testing strategies, and deployment workflows tailored to the Langfuse ecosystem.
When to use it
- Developing new backend features that interact with Langfuse tracing data.
- Refactoring existing Langfuse services to align with official architectural standards.
- Debugging complex backend issues by referencing established development patterns.
- Onboarding team members to maintain uniform coding conventions across the project.
Key capabilities
- Enforces Langfuse-specific backend architecture principles.
- Guides implementation of testing protocols specific to tracing and observability tools.
- Standardizes deployment configurations for production environments.
- Promotes secure handling of sensitive telemetry data within backend logic.
Example prompts
- "Generate a new endpoint for exporting trace data following Langfuse backend guidelines."
- "Review this code snippet for compliance with Langfuse security best practices."
- "Create a unit test case for the ingestion service adhering to official testing standards."
Tips & gotchas
Ensure you have access to the latest Langfuse documentation, as guidelines evolve with platform updates. This skill complements but does not replace deep understanding of distributed systems and observability fundamentals.