Add eval-driven development skill (#1013)

* Add eval-driven development skill

* Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

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Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
Yiou Li
2026-03-15 16:48:08 -07:00
committed by GitHub
parent 2d863d0af0
commit 47f544a09c
3 changed files with 813 additions and 0 deletions

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@@ -111,6 +111,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
| [editorconfig](../skills/editorconfig/SKILL.md) | Generates a comprehensive and best-practice-oriented .editorconfig file based on project analysis and user preferences. | None |
| [ef-core](../skills/ef-core/SKILL.md) | Get best practices for Entity Framework Core | None |
| [entra-agent-user](../skills/entra-agent-user/SKILL.md) | Create Agent Users in Microsoft Entra ID from Agent Identities, enabling AI agents to act as digital workers with user identity capabilities in Microsoft 365 and Azure environments. | None |
| [eval-driven-dev](../skills/eval-driven-dev/SKILL.md) | Instrument Python LLM apps, build golden datasets, write eval-based tests, run them, and root-cause failures — covering the full eval-driven development cycle. Make sure to use this skill whenever a user is developing, testing, QA-ing, evaluating, or benchmarking a Python project that calls an LLM, even if they don't say "evals" explicitly. Use for making sure an AI app works correctly, catching regressions after prompt changes, debugging why an agent started behaving differently, or validating output quality before shipping. | `references/pixie-api.md` |
| [excalidraw-diagram-generator](../skills/excalidraw-diagram-generator/SKILL.md) | Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw. | `references/element-types.md`<br />`references/excalidraw-schema.md`<br />`scripts/.gitignore`<br />`scripts/README.md`<br />`scripts/add-arrow.py`<br />`scripts/add-icon-to-diagram.py`<br />`scripts/split-excalidraw-library.py`<br />`templates` |
| [fabric-lakehouse](../skills/fabric-lakehouse/SKILL.md) | Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices. | `references/getdata.md`<br />`references/pyspark.md` |
| [fedora-linux-triage](../skills/fedora-linux-triage/SKILL.md) | Triage and resolve Fedora issues with dnf, systemd, and SELinux-aware guidance. | None |