senior-backend
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implementation, and performance tuning. Use when designing APIs, optimizing database queries, implementing business logic, handling authentication/authorization, or reviewing backend code.
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Installation for Agentic Skill
View all platforms →skilz install alirezarezvani/claude-skills/senior-backendskilz install alirezarezvani/claude-skills/senior-backend --agent opencodeskilz install alirezarezvani/claude-skills/senior-backend --agent codexskilz install alirezarezvani/claude-skills/senior-backend --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/alirezarezvani/claude-skillscp -r claude-skills/engineering-team/senior-backend ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- alirezarezvani (GitHub)
- Repository
- claude-skills
- Stars
- 579
- Forks
- 112
- Type
- Other
- Meta-Domain
- Primary Domain
- Market Score
- 0
Agent Skill Grade
F Score: 33/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Fictional Scripts Referenced
- Reference Files Are Identical Placeholders
- Marketing Language Throughout
Recommendations
- Focus on improving Pda (currently 8/30)
- Focus on improving Ease Of Use (currently 7/25)
- Focus on improving Writing Style (currently 3/10)
Graded: 2026-01-24
Developer Feedback
I noticed you're building something for senior backend engineers, but the grading suggests the skill might be trying to cover too much ground—hard to deliver deep value when you're targeting both architecture patterns and day-to-day tooling at once.
Links:
The TL;DR
You're at 33/100, which puts you in F territory. This is based on Anthropic's Progressive Disclosure Architecture standards for agentic skills. Your strongest area is Spec Compliance (12/15)—the YAML frontmatter is clean and well-structured. The biggest drag is Utility (3/20)—the skill references fictional scripts and placeholder content that don't actually solve problems.
What's Working Well
- Clean frontmatter: Your YAML is valid with all required fields and good trigger terms (NodeJS, Express, GraphQL, Microservices)
- Metadata comprehensiveness: The description covers a good range of backend concerns and uses specific technology keywords for discoverability
- Structural compliance: You're following the skill format correctly—name conventions, file organization, reference structure
The Big One: Fictional Scripts Kill Utility
This is your main blocker. The skill references three Python scripts that don't exist:
api_scaffolder.pydatabase_migration_tool.pyapi_load_tester.py
These appear as placeholders with [options] parameters but no actual implementation or guidance on using real tools (npm, psql, curl, ab, etc.). Fix this by either:
- Creating actual working scripts with real examples, or
- Removing script references and teaching Claude to use standard backend tooling directly with specific commands and workflows
This alone could add +6 points to your score.
Other Things Worth Fixi...
AI-Detected Topics
Extracted using NLP analysis
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