608 skills · sorted by relevance
Process mass spectrometry data using scripts for format conversion, signal cleanup, peak detection, and quantification across samples. Prepare protein and metabolite analyses with identification filtering, candidate annotations, data tables, and plots.
Clean and compare tandem mass spectra, measurements used to study molecular fragments, with matchms. Standardize metadata, filter peaks, search reference libraries, and export ranked candidate matches with similarity scores and matched-peak counts.
Build Java applications that store and manage records in Azure Table Storage or Cosmos DB Table API. It guides creating tables, adding and updating records, filtering queries, and grouping changes into transactions that succeed or fail together.
Write Python code to manage settings in Azure App Configuration. Covers reading, updating, filtering, and locking settings, managing feature flags that switch features on or off, and creating snapshots of configuration values.
Build search features with Algolia using guidance on search indexes, data organized for searching, React InstantSearch, and relevance tuning. Use it when implementing autocomplete, filtering by attributes, or results that update as users type.
Design recommendation and ranking systems that select the best items for a user or situation. Organize retrieval, enrichment, filtering, scoring, selection, and background actions into six stages, then generate a runnable scaffold for your chosen stack.
Review DAX formulas, the expressions used for calculations in Power BI, and propose clearer, more maintainable alternatives. Identify repeated calculations, costly filtering, and error-handling issues, then explain changes and recommend ways to test them.
Turn a screen recording of repetitive work into automation scripts. The skill reconstructs the workflow, proposes options suited to installed tools, and helps build and test the chosen approach while preserving human review steps.
Find installation steps, configuration guidance, and command examples for Alibaba Cloud CLI using local Chinese documentation. The skill checks its quick reference or relevant documentation pages before suggesting commands, parameters, and options.
Configure advanced Microsoft Defender protections on Windows, including rules that block risky behavior, protected folders, network filtering, and exploit defenses. Use audit modes to assess application impact, then deploy policies and monitor detections across an organization.
Set up a local web search server using Bright Data SERP API and unfancy-search. Retrieve results from multiple engines, optionally expand queries with AI, and receive combined rankings with duplicates removed and results grouped by domain.
Build searches with Qdrant that find similar content and filter results by attributes. The skill covers document retrieval for AI answers, vector storage, memory optimization, and distributed deployment for larger collections.
Query documents and conversations stored in cognee to retrieve answers, supporting passages, or context for an AI model. This skill guides search method selection, source filtering, result interpretation, and troubleshooting empty or unexpected results.
Find Gmail messages with attachments, retrieve the attached files, and upload them to a chosen Google Drive folder. The workflow includes filtering messages by sender and checking message details before downloading.
Route data analysis, large-file processing, and web retrieval through context-mode tools, returning only relevant results to the conversation. This helps preserve the context window, the limited amount of information an AI can work with at once.
Assess detected security events by checking false positives, assigning incident types and severity levels, and identifying escalation routes. Guide initial response and forensic evidence collection, including records of who collected, held, and transferred each evidence item.
Investigate OpenSEO production errors in Cloudflare Workers Observability. Count worker invocations accurately, compare periods and deployment versions, and filter previously investigated noise to focus analysis on errors that need attention.
Write Python for n8n Code nodes to transform, filter, aggregate, and validate workflow data. Get guidance on reading input items, returning the required JSON structure, using standard library modules, and avoiding common errors within n8n's Python execution modes.
Write JavaScript for n8n Code nodes to aggregate, filter, and transform workflow data. Guidance covers data access, output formats, execution modes, common errors, and performance choices when processing large numbers of records.
Work with Handsontable row and column positions by distinguishing source data, displayed order, and rendered cells. It guides index conversion and helps investigate misplaced data when sorting, filtering, hiding, or moving rows and columns.
Design hybrid search on AlloyDB by combining meaning-based search, keywords, and SQL filters. Turn requirements into architecture diagrams, database setup scripts, deployment guidance, and validation plans for search applications on Google Cloud.
Turn plain-language requests into Cloud Logging queries for Google Cloud. Generate service-specific filters to find errors, investigate issues, or review audit logs using LQL, the language used to search these logs.
Create or improve unit tests for Apache ShardingSphere classes. Cover the target class’s behavior and affected branches, verify explicitly requested coverage goals, and consolidate suitable scenarios into parameterized tests, which run the same checks with different inputs.
Find concrete LifeOS improvements in Anthropic updates, practitioner examples, and internal reflections. Check each candidate against the current setup, previous decisions, and compatibility, then present actionable recommendations tied to specific files or components.