legendaryabhi/azure-functions
skills/azure-functions/SKILL.md
Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: azure function, azure functions, durable functions, azure serverless, function app.
$ install --global
skillsauthnpx skillsauth add legendaryabhi/agent-skills-hub azure-functionsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 21, 2026, 8:15 AM3.8s1 file scanned
SKILL.md
- name:
- azure-functions
- description:
- Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: azure function, azure functions, durable functions, azure serverless, function app.
- source:
- vibeship-spawner-skills (Apache 2.0)
Azure Functions
Patterns
Isolated Worker Model (.NET)
Modern .NET execution model with process isolation
Node.js v4 Programming Model
Modern code-centric approach for TypeScript/JavaScript
Python v2 Programming Model
Decorator-based approach for Python functions
Anti-Patterns
❌ Blocking Async Calls
❌ New HttpClient Per Request
❌ In-Process Model for New Projects
⚠️ Sharp Edges
| Issue | Severity | Solution | |-------|----------|----------| | Issue | high | ## Use async pattern with Durable Functions | | Issue | high | ## Use IHttpClientFactory (Recommended) | | Issue | high | ## Always use async/await | | Issue | medium | ## Configure maximum timeout (Consumption) | | Issue | high | ## Use isolated worker for new projects | | Issue | medium | ## Configure Application Insights properly | | Issue | medium | ## Check extension bundle (most common) | | Issue | medium | ## Add warmup trigger to initialize your code |
Related Skills
legendaryabhi/denario
development
VerifiedTrustedCommunity
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
63SKILL.mdUpdated Jul 19, 2026
legendaryabhi/defi-protocol-templates
development
VerifiedTrustedCommunity
Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and lending systems. Use when building decentralized finance applications or smart contract protocols.
63SKILL.mdUpdated Jul 19, 2026
legendaryabhi/deeptools
tools
VerifiedTrustedCommunity
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
63SKILL.mdUpdated Jul 19, 2026
legendaryabhi/deepchem
testing
VerifiedTrustedCommunity
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
63SKILL.mdUpdated Jul 19, 2026