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Found 113 Skills
Create and manage agent graphs — directed graphs of configs connected by edges with handoff logic. Use when building multi-agent workflows where configs route to each other.
Routes PubNub questions to the correct documentation source, MCP tool, and specialist skill. Classifies intent (chat vs non-chat, conceptual vs implementation, runtime testing vs analytics) and points the agent to the right next step. Use when a user mentions PubNub for the first time, asks "where do I start", "which docs", "what should I use", or any time the appropriate next skill is unclear.
Create and manage prompt snippets — reusable text blocks referenced inside AI Config variation prompts. Keeps common instructions, personas, and guardrails consistent across multiple configs.
Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
Checks if a specific service is available at a given address.
Use the Docyrus Architect MCP tools to manage data sources, fields, enums, apps, and query data in the Docyrus platform. Use when the user asks to create, update, delete, or query data sources, fields, enum options, or apps via the docyrus-architect MCP server. Also use when building reports, dashboards, or performing data analysis that requires querying Docyrus data sources with filters, aggregations, formulas, pivots, or child queries.
Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?"
Create, edit, and export live Excalidraw diagrams using mcp-excalidraw-server (MCP tools + canvas REST API). Use when an agent needs to draw/lay out diagrams, convert Mermaid to Excalidraw, query/update/delete elements, or export/import elements from a running canvas server (EXPRESS_SERVER_URL, default http://localhost:3000).
Multi-agent orchestration workflow for deep research: Split a research objective into parallel sub-objectives, run sub-processes using Claude Code non-interactive mode (`claude -p`); prioritize installed skills for network access and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + summary of key conclusions/recommendations". Applicable scenarios: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-agent parallel research/multi-process research".
Find and remove dead code and stale documentation. Covers unused functions, orphaned files, dead links, and outdated references. Use for maintenance, pre-release cleanup, or codebase hygiene. Triggers: clean, dead code, unused, orphan, stale, cruft, maintenance.
Generate Claude Code permissions config from session history. Use when setting up autonomous mode, configuring .claude/settings.json, avoiding --dangerously-skip-permissions, or analyzing what permissions a project needs. Reads session logs to extract Bash commands and MCP tools actually used, then generates appropriate allow/deny rules.
Create and deploy a TON agentic wallet. Use when the user wants to create a wallet, set up an agent wallet, deploy an agentic wallet, onboard a new wallet, or when any wallet operation fails because no wallet is configured. This skill is a prerequisite before sending, swapping, or managing assets.