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Found 1,667 Skills
Check and validate MTHDS bundles for issues. Use when user says "validate this", "check my workflow", "check my method", "does this .mthds make sense?", "review this pipeline", "any issues?", "is this correct?". Reports problems without modifying files. Read-only analysis.
Use OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches. Ideal for RAG and vector retrieval pipelines in Claude Code/Codex.
Use this skill when spreadsheet files are the primary input or output. This means the user wants to: open, read, edit, or repair existing .xlsx, .xlsm, .csv, or .tsv files (e.g., add columns, calculate formulas, format, create charts, clean messy data); create new spreadsheets from scratch or from other data sources; or convert between spreadsheet file formats. Trigger this especially when the user references a spreadsheet file by name or path—even casually (such as "the xlsx in my downloads")—and wants to process it or generate content from it. It's also used to clean or reorganize messy tabular data files (rows with incorrect formatting, misaligned headers, garbage data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do not trigger this when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Finds and qualifies B2B leads from X/Twitter conversations using keyword search, profile analysis, and intent scoring. Combines MCP tools for automated prospecting pipelines. Use when prospecting, finding potential customers, or mining social conversations for leads.
Build custom backends and widgets for OpenBB Workspace. Use when user wants to create an OpenBB app, convert Streamlit/Gradio apps, or build dashboards. Handles the full pipeline from requirements to deployment.
@classytic/arc — Resource-oriented backend framework for Fastify. Use when building REST APIs with Fastify, resource CRUD, defineResource, createApp, permissions, presets, database adapters, hooks, events, QueryCache, authentication, multi-tenant SaaS, OpenAPI, job queues, WebSocket, or production deployment. Triggers: arc, fastify resource, defineResource, createApp, BaseController, arc preset, arc auth, arc events, arc jobs, arc websocket, arc plugin, arc testing, arc cli, arc permissions, arc hooks, arc pipeline, arc factory, arc cache, arc QueryCache.
Review existing Datadog dashboards for operational readiness. Audits alert threshold markers, threshold proximity to normal traffic, customer-facing section completeness, and zero-knowledge readability. Uses pup CLI to fetch dashboard definitions. Use when auditing dashboards before on-call handoff, after dashboard changes, or during operational reviews. Do not use for: (1) designing new dashboards from scratch, (2) monitor/alert rule design, (3) APM instrumentation or tracing setup, (4) log pipeline configuration.
Guides teams through designing, implementing, and optimizing CI/CD pipelines, GitHub Actions workflows, deployment automation, and agentic workflow patterns. Provides production-ready templates, cost optimization strategies, quality gates, and multi-environment deployment planning for modern DevOps practices.
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.
Swiss-German translator for brand/UI and legal text — trained on real translation patterns from 12+ top brands (Swisscom, UBS, On Running, Logitech, IKEA, Stripe, Notion, Slack, Apple, Shopify, BMW, Vercel). Translates and validates i18n JSON or plain text from English to Swiss-formal German (Hochdeutsch CH). Anti-translationese: restructures German thoughts fresh instead of mapping English. Two text types: brand/UI and legal. Two actions: TRANSLATE and VALIDATE. Includes 100+ brand-confirmed translation pairs, 40+ glossary terms with keep/translate decisions, DSGVO/DSG legal terminology, completeness checks, and a 4-agent pipeline for legal documents.
Comprehensive prompt and context engineering for any AI system. Four modes: (1) Craft new prompts from scratch, (2) Analyze existing prompts with diagnostic scoring and optional improvement, (3) Convert prompts between model families (Claude/GPT/Gemini/Llama), (4) Evaluate prompts with test suites and rubrics. Adapts all recommendations to model class (instruction-following vs reasoning). Validates findings against current documentation. Use for system prompts, agent prompts, RAG pipelines, tool definitions, or any LLM context design. NOT for running prompts, generating content, or building agents.
Build and deploy parallel execution via subagent waves, agent teams, and multi-wave pipelines. Use when the Decomposition Gate identifies 2+ independent actions or when spawning teams. NOT for single-action tasks or non-parallel work.