Manage AI agent conversations via a standardized URI scheme.
npx skills add https://github.com/Xuanwo/xurl --skill xurl-xuanwo
Please help me install this Agent Skill. Skill: xurl Source: https://github.com/Xuanwo/xurl/tree/main/skills/xurl Command: npx skills add https://github.com/Xuanwo/xurl --skill xurl-xuanwo
This Skill simplifies interacting with AI agent conversations by providing a unified URI-based interface for querying, reading, discovering, and writing conversational data across various AI providers.
agents:// URI scheme.Use the xurl skill to read the conversation with id 'xxx_thread' from the codex agent.
High-intent search queries and answers about installing and using this skill.
You manage AI agent conversations across providers using a standardized URI scheme, enabling query, read, discover, and write operations for conversational data via a command-line interface.
Yes, querying past AI conversations by keywords or roles is supported through the agents:// URI scheme, allowing precise discovery of specific threads and sub-agent targets across providers.
To start or continue a dialogue with a specific AI role, use the command-line interface to write conversational data via the standardized URI scheme, targeting session and role-scoped thread access.
xurl works with Codex, Claude, and Gemini providers by providing a unified agents:// URI interface for interacting with various AI providers without needing provider-specific commands.
The agents:// URI scheme provides unified access to interact with AI agent conversations, replacing provider-specific commands with a consistent interface for reading and writing conversational data.
No specific dependencies are required to use xurl for conversation discovery, as it operates via command-line interface scripts to navigate and manage AI conversational data across providers.
realsigridjinConfigure MCP servers for Codex agents with external tools and integrations.
danny0926Query the ai_intelligence_signals table in data/data.db and present results.
MOODMNKY-LLCSearch and analyze historical JSONL session logs with ripgrep and jq.
SternrasslerDesign Go backend service layers with constructor injection and Redis caching.