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Found 18 Skills
飞书电子表格：创建和操作电子表格。创建表格并写入表头和数据、读取和写入单元格、追加行数据、在已知电子表格中查找单元格内容、导出表格文件。当用户需要创建电子表格、批量读写数据、在已知表格中查找内容、导出或下载表格时使用。若用户是想按名称或关键词搜索云空间里的表格文件，请改用 lark-doc 的 docs +search 先定位资源。
Use this skill to find high-quality dividend growth stocks (12%+ annual dividend growth, 1.5%+ yield) that are experiencing temporary pullbacks, identified by RSI oversold conditions (RSI ≤40). This skill combines fundamental dividend analysis with technical timing indicators to identify buying opportunities in strong dividend growers during short-term weakness.
Build semantic search with Cloudflare Vectorize V2 (Sept 2024 GA). Covers V2 breaking changes: async mutations, 5M vectors/index (was 200K), 31ms latency (was 549ms), returnMetadata enum, and V1 deprecation (Dec 2024). Use when: migrating V1→V2, handling async mutations with mutationId, creating metadata indexes before insert, or troubleshooting "returnMetadata must be 'all'", V2 timing issues, metadata index errors, dimension mismatches.
Guidance for counting tokens in datasets, particularly from HuggingFace or similar sources. This skill should be used when tasks involve counting tokens in datasets, understanding dataset schemas, filtering by categories/domains, or working with tokenizers. It helps avoid common pitfalls like incomplete field identification and ambiguous terminology interpretation.
Generate synthetic training data when you don't have enough real examples. Use when you're starting from scratch with no data, need a proof of concept fast, have too few examples for optimization, can't use real customer data for privacy or compliance, need to fill gaps in edge cases, have unbalanced categories, added new categories, or changed your schema. Covers DSPy synthetic data generation, quality filtering, and bootstrapping from zero.
Query Google Analytics 4 (GA4) data via the Analytics Data API. Use when you need to pull website analytics like top pages, traffic sources, user counts, sessions, conversions, or any GA4 metrics/dimensions. Supports custom date ranges and filtering.
Stock Screener - Screen all market stocks based on conditions to identify targets that match your strategy
Search for financial reports using Exa advanced search. Near-full filter support for finding SEC filings, earnings reports, and financial documents. Use when searching for 10-K filings, quarterly earnings, or annual reports.
VCR.py HTTP recording for Python tests. Use when testing Python code making HTTP requests, recording API responses for replay, or creating deterministic tests for external services.
Process Excel files, supporting reading, analysis, statistics and export of xlsx data
Convert data between formats (JSON, XML, CSV, YAML, TOML). Use when transforming data structures or migrating between data formats.
Implement the Syncfusion Angular AutoComplete component for type-ahead text suggestions with data binding, filtering, grouping, templates, virtualization, and form integration. Covers local and remote data sources, autofill, highlight search, custom filtering, keyboard navigation, and accessibility features. Use this when adding AutoComplete to Angular applications, configuring filtering behaviors, implementing data binding scenarios, or validating forms with autocomplete.