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Found 2,189 Skills
Used when user requests involve dataset queries, SQL creation, and BFF development for the Lovrabet/Yuntoo platform. Trigger words: dataset, data table, custom SQL, filter, sql.execute, bff.execute, get_dataset_detail, validate_sql_content, save_or_update_custom_sql, save_or_update_bff_script, @lovrabet/sdk, MCP SQL workflow, multi-table association, lovrabet development.
Update any task in One Horizon (TODO, initiative, bug, or feature request), add comments, or react to comments. Use when asked "mark this done", "update this task", "reassign", "change status", "add a comment", "comment on this task", "react to that comment", or "show comments". Requires One Horizon MCP.
Generate concise task summaries from One Horizon data. Use when asked to "summarize my work", "write a status report", "create a weekly summary", or "brief my manager". Includes initiatives and blockers when provided. Requires One Horizon MCP.
Generate Harness Secret definitions and manage secrets via MCP v2 tools. Supports SecretText, SecretFile, SSHKey, and WinRmCredentials types with configurable secret managers (Harness built-in, HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager). Use when asked to create a secret, store credentials, manage API keys, set up SSH keys, configure WinRM credentials, rotate secrets, or reference secrets in pipelines. Trigger phrases: create secret, secret text, secret file, SSH key, API key, password, credentials, secret manager, store secret.
Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.
AI co-worker agent with its own computer, persistent memory, self-evolution, MCP server, and Slack/email identity built on Claude Agent SDK
Design a Zoom MCP workflow for Claude. Use when deciding whether Zoom MCP fits a task, when planning tool-based AI workflows, or when separating MCP responsibilities from REST API responsibilities.
PowerPoint (.pptx) manipulation via MCP server. Use for creating slides, formatting presentations, managing placeholders, adding images, applying templates, or extracting text from .pptx files.
Query up-to-date library documentation and code examples using Context7 MCP. Use when you need current, version-specific documentation for npm packages, Python libraries, or other programming languages.
Use when adding or configuring an MCP (Model Context Protocol) server in a Claude Code plugin. Triggers on "add mcp", "setup mcp", "configure mcp server", "add mcp.json to plugin", or any request to wire up an external MCP tool server to a plugin in this repository.
Use when working on Laminar demands via the remote Laminar MCP and you see wrong or empty client/product scope, plans from source-context lists without per-id loads, needless raw transcripts, same-step or same-release story-map peers, anchored ADR conflicts, MCP transitions/assignments, broken or silent MCP, or mentions of Laminar MCP, demands, TAL-* ids, story map, anchored or source context, or Laminar handoff.
Official GitHub MCP Server for AI-powered repository management, issue/PR automation, CI/CD monitoring, and code analysis through natural language