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Found 11,657 Skills
Collaborate on digital whiteboards with Miro - create mind maps, flowcharts, wireframes, and run brainstorming sessions
Build features with AI coding tools (Claude Code, Lovable, Replit, Cursor). Use when implementing specs, iterating on AI code, or choosing tools. Focuses on tool selection, effective prompting, and iteration workflows for non-technical founders.
Extracts specific fields from YAML files efficiently using yq instead of reading entire files, saving 80-95% context. Use this skill when querying YAML files, filtering/transforming configuration data, or getting specific field(s) from large YAML files like docker-compose.yml or GitHub Actions workflows
End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (monitoring and retraining).
Use when each language SDK lives in a separate repository. Covers cross-repo workflow dispatch, PR status reporting, PR reconciliation on merge/close. Triggers on "multi-repo SDK", "separate SDK repositories", "cross-repo workflows", "SDK PR synchronization", "spec repo triggers SDK repos".
Create and execute temporary scripts (Python, Node.js, shell) during workflow execution for API integrations, data processing, and custom tools. Use when user needs to interact with external APIs, process data with specific libraries, or create temporary executable code.
Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). Use when building data pipelines, implementing incremental models, migrating from pandas to polars, or orchestrating multi-step transformations with testing and quality checks.
Use to manage workflows, compliance, and measurement for customer references.
Conversational guidance for building software with AI agents, covering workflows, tool selection, prompt strategies, parallel agent management, and best practices based on real-world high-volume agentic development experience. Use this skill when users ask about setting up agentic workflows, choosing models, optimizing prompts, managing parallel agents, or improving agent output quality.
Guide for Convex actions, scheduling, cron jobs, and orchestration patterns. Use when implementing external API calls, background jobs, scheduled tasks, cron jobs, or multi-step workflows. Activates for action implementation, ctx.scheduler usage, crons.ts creation, or long-running workflow tasks.
Accelerate software development with Linear project management and MCP server integration. Master issue tracking, project workflows, and development automation for frontend, full-stack, and mobile applications. Includes comprehensive MCP tool usage, workflow patterns, and development best practices.
Mass spectrometry toolkit (OpenMS Python). Process mzML/mzXML, peak picking, feature detection, peptide ID, proteomics/metabolomics workflows, for LC-MS/MS analysis.