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Found 59 Skills
Search Joseon Dynasty Annals records from the official sillok.history.go.kr site with keyword search plus optional king/year narrowing.
A Python CLI for interacting directly with the user's running Chromium browser via the Chrome DevTools Protocol (CDP). Connects via WebSocket to inspect pages, extract data, evaluate JS, and automate UI actions in open tabs. Requires explicit user approval; a background daemon ensures the "Allow debugging" prompt only requires one approval per tab.
Jira API operations via Python CLI scripts. AUTOMATICALLY TRIGGER when user mentions Jira URLs (https://jira.*/browse/*, https://*.atlassian.net/browse/*), issue keys (PROJ-123), or asks about Jira issues. Use when Claude needs to: (1) Search issues with JQL queries, (2) Get or update issue details, (3) Create new issues, (4) Transition issue status (e.g., "To Do" → "Done"), (5) Add comments, (6) Log work time (worklogs), (7) List sprints and sprint issues, (8) List boards and board issues, (9) Create or list issue links, (10) Discover available Jira fields, (11) Get user profile information, (12) Download attachments from issues. If authentication fails, offer interactive credential setup via jira-setup.py. Supports both Jira Cloud and Server/Data Center with automatic auth detection.
Build production-ready MCP clients in TypeScript or Python. Handles connection lifecycle, transport abstraction, tool orchestration, security, and error handling. Use for integrating LLM applications with MCP servers.
Expert guide for building command-line interfaces with Node.js (Commander, Inquirer, Ora) or Python (Click, Typer, Rich). Use when creating CLI tools, terminal UX, argument parsing, or interactive prompts.
Hämta väderprognoser från SMHI för de inbyggda orterna Mjölby, Linköping, Norrköping, Motala och Vadstena, samt vädervarningar för Östergötland. Använd när användaren frågar om väder, temperatur, nederbörd, vind eller prognos för någon av dessa orter, eller om vädervarningar i Östergötland.
국민연금공단 국민연금 가입 사업장 내역을 공공데이터포털 API(k-skill-proxy 경유)로 조회한다. 사업장명으로 가입자수·당월 고지금액·월별 취득/상실 추이를 확인해 그 회사의 직원 규모와 변화를 본다.
Analyzes campaign performance with multi-touch attribution, funnel conversion, and ROI calculation for marketing optimization
Comprehensive trading skills for the Revolut X Crypto Exchange API. Use this skill to authenticate, fetch market data, manage orders, and execute trades on Revolut X. Includes API documentation and a Python client wrapper.
Create new skills for the lovstudio ecosystem. Each skill is its own independent GitHub repo at lovstudio/{name}-skill, scaffolded locally at ~/lovstudio/coding/skills/{name}-skill/, symlinked to ~/.claude/skills/ for immediate use, and registered in the central index at ~/lovstudio/coding/skills/index/ (skills.yaml + README.md). Lovstudio conventions: `lovstudio:{name}` frontmatter, mandatory README.md per skill, AskUserQuestion interactive flow, standalone Python CLI scripts with argparse, CJK text handling. Use when the user wants to create a new skill, add a skill to the lovstudio ecosystem, scaffold a skill, or mentions "新建skill", "创建skill", "封装成skill", "new skill", "add skill", "scaffold skill", "生成skill".
Serverless GDS sessions on Neo4j Aura — covers GdsSessions, AuraAPICredentials, DbmsConnectionInfo, SessionMemory, get_or_create, remote graph projection, gds.graph.project.remote, gds.graph.construct, algorithm execution (mutate/stream/write), async job polling, result retrieval, and session lifecycle. Use when running graph algorithms on Aura Business Critical or VDC, processing graph data from Pandas/Spark, or using the graphdatascience Python client in AGA (serverless) mode. Covers all three data source three source modes (AuraDB-connected, self-managed Neo4j, standalone from DataFrames). Does NOT cover the embedded GDS plugin on Aura Pro or self-managed Neo4j — use neo4j-gds-skill. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover Snowflake Graph Analytics — use neo4j-snowflake-graph-analytics-skill.
Manages Python CLI tools with uv. Learn when to use uvx for temporary execution, uv tool install for persistent tools, and how to differentiate between tool dependencies and project dependencies. Includes version management, listing, cleanup, and scenarios for running tools with specific Python versions.