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Add daily-prep skill: structured meeting prep with calendar analysis and productivity scoring (#1181)

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* Add daily-prep skill: structured meeting prep with calendar analysis and productivity scoring

* fix: use single-quoted YAML scalar for description frontmatter
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Onur Senturk
2026-03-27 01:17:04 +01:00
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@@ -99,6 +99,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-skills) for guidelines on how to
| [csharp-nunit](../skills/csharp-nunit/SKILL.md) | Get best practices for NUnit unit testing, including data-driven tests | None |
| [csharp-tunit](../skills/csharp-tunit/SKILL.md) | Get best practices for TUnit unit testing, including data-driven tests | None |
| [csharp-xunit](../skills/csharp-xunit/SKILL.md) | Get best practices for XUnit unit testing, including data-driven tests | None |
| [daily-prep](../skills/daily-prep/SKILL.md) | Prepare for tomorrow's meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTML prep file with productivity recommendations. | None |
| [datanalysis-credit-risk](../skills/datanalysis-credit-risk/SKILL.md) | Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing. | `references/analysis.py`<br />`references/func.py`<br />`scripts/example.py` |
| [dataverse-python-advanced-patterns](../skills/dataverse-python-advanced-patterns/SKILL.md) | Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques. | None |
| [dataverse-python-production-code](../skills/dataverse-python-production-code/SKILL.md) | Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices | None |