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Found 19,325 Skills
Use when creating or editing skills, before deployment, to verify they work under pressure and resist rationalization - applies RED-GREEN-REFACTOR cycle to process documentation by running baseline without skill, writing to address failures, iterating to close loopholes
Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization
End-to-end guide for AI agents — from a dApp idea to deployed production app. Fetch this FIRST, it routes you through all other skills.
Use this skill when the user wants to organize, classify, or maintain a PARA-method second brain. Triggers include asking where to file something, distinguishing projects from areas, processing an inbox, setting up a new project, completing or archiving a project, running a monthly review, validating system structure, or finding stale/orphaned content.
This skill should be used when fetching, searching, downloading, sending, editing, or publishing messages on Telegram. Use for queries like "show my Telegram messages", "search Telegram for...", "get unread messages", "send a message to...", "edit that message", "publish this draft to klodkot", or "add Telegram messages to my notes".
Use this skill when the user asks for a review, audit, evaluation or analysis of a codebase, to identify bugs, security vulnerabilities, performance bottlenecks, or code quality concerns.
Expert data engineer for ETL/ELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data warehouse, Spark, Kafka, Airflow, dbt, data modeling, star schema, streaming data, batch processing, data quality. NOT for: API design (use api-architect), ML training (use ML skills), dashboards (use design skills).
Data Quality Checker - Auto-activating skill for Data Pipelines. Triggers on: data quality checker, data quality checker Part of the Data Pipelines skill category.
This skill should be used when users request help optimizing, improving, or refining their prompts or instructions for AI models. Use this skill when users provide vague, unclear, or poorly structured prompts and need assistance transforming them into clear, effective, and well-structured instructions that AI models can better understand and execute. This skill applies comprehensive prompt engineering best practices to enhance prompt quality, clarity, and effectiveness.
Comprehensive skill for SAP Cloud Transport Management service on SAP BTP. Use when setting up transport landscapes, configuring transport nodes and routes, managing import queues, deploying MTAs across Cloud Foundry environments, integrating with CI/CD pipelines, configuring ABAP environment transports, troubleshooting deployment errors, or implementing change management workflows. Covers entitlements, subscriptions, role collections, service instances, destinations, and API integrations.
A skill that provides weather information based on reference data.
Create, update, or install skills (including planning/specs and edits to skills/*) using our repo workflow (uv + skills-ref validation, lean SKILL.md, references/ for detail, and sync via bin/sync.sh [--hard]).