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Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock trading analysis, etc.). Requires QVERIS_API_KEY environment variable.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/duclm1x1/Dive-Ai --skill qverisコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
SKILL.md を表示中
SOC 職業分類に基づく
| name | qveris |
| description | Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock trading analysis, etc.). Requires QVERIS_API_KEY environment variable. |
| triggers | [{"pattern":"股票|stock|股价|股市","description":"检测股票相关查询"},{"pattern":"交易|trading|买卖|成交","description":"检测交易相关查询"},{"pattern":"分析|analysis|数据|指标|技术分析|基本面","description":"检测分析相关查询"},{"pattern":"市值|涨跌|收盘|开盘|市盈率|pe|pb","description":"检测股票指标查询"}] |
| auto_invoke | true |
| examples | ["帮我查一下特斯拉的股价","分析一下苹果公司的财报数据","查询今日A股涨停板","获取比特币实时价格"] |
QVeris provides dynamic tool discovery and execution - search for tools by capability, then execute them with parameters.
Requires environment variable:
QVERIS_API_KEY - Get from https://qveris.aiuv run scripts/qveris_tool.py search "weather forecast API"
uv run scripts/qveris_tool.py execute openweathermap_current_weather --search-id <id> --params '{"city": "London", "units": "metric"}'
scripts/qveris_tool.py <command> [options]
Commands:
search <query> Search for tools matching a capability description
execute <tool_id> Execute a specific tool with parameters
Options:
--limit N Max results for search (default: 5)
--search-id ID Search ID from previous search (required for execute)
--params JSON Tool parameters as JSON string
--max-size N Max response size in bytes (default: 20480)
--json Output raw JSON instead of formatted display
Search: Describe the capability needed (not specific parameters)
Select: Review tools by success_rate and avg_execution_time
Execute: Call tool with tool_id, search_id, and parameters
# Find weather tools
uv run scripts/qveris_tool.py search "current weather data"
# Execute with returned tool_id and search_id
uv run scripts/qveris_tool.py execute openweathermap_current_weather \
--search-id abc123 \
--params '{"city": "Tokyo", "units": "metric"}'