feat: improve azure-ai-projects-dotnet skill score

[yogesh-tessl]

Hey @thegovind 👋

great work. 181 skills covering Azure SDKs in five languages, plus standalone skills for KQL, MCP building, and even podcast generation. The Skill Explorer at skills.sh is a really nice touch for discoverability, and the nightly evaluation pipeline shows you're serious about keeping these accurate as the SDKs evolve. Impressive scope.

ran your skills through tessl skill review at work and found some targeted improvements for the azure-ai-projects-dotnet skill. Here's the before/after:

Skill	Before	After	Change
azure-ai-projects-dotnet	86%	90%	+4%

Changes summary

azure-ai-projects-dotnet (86% → 90%):

• Fixed frontmatter description format from literal block (|) to standard quoted string
• Added validation checkpoints to evaluation workflow - polling for completion status and failure detection before proceeding
• Added verification step after dataset upload to confirm success
• Added confirmation output after index creation
• Removed redundant "Key Types Reference" table (all types already visible in Client Hierarchy diagram and code examples)
• Removed redundant "Related SDKs" table (duplicated the Installation section)
• Removed generic "Error Handling" section - consolidated the RequestFailedException pattern into Best Practices as a single actionable line
• Trimmed Best Practices to 5 high-value, Azure AI Projects-specific items with reasoning (removed generic Azure SDK advice Claude already knows)
• Tightened authentication section by removing inline comments that restated what the code shows
• Cleaned up environment variable annotations for consistency

---

also stress-tested your azure-ai-projects-dotnet skill against a few real-world task evals and it held up really well on versioned agent creation with web search tools and evaluation orchestration with status polling. Kudos for that.

quick honest disclosure. I work at https://github.com/tesslio where we build tooling around skills like these. Not a pitch, just saw room for improvement and wanted to contribute.

If you want to self-improve your skills, or define your own scenarios to pressure test, just ask your agent (Claude Code, Codex, etc.) to evaluate and optimize your skill with Tessl. Ping me @yogesh-tessl, if you hit any snags.

[yogesh-tessl]

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