القائمة
Use when the user references Spectron, or when Spectron tools appear in the active toolset — this plugin connects Claude to a Spectron instance over its /mcp HTTP route.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | mcp |
| description | Use when the user references Spectron, or when Spectron tools appear in the active toolset — this plugin connects Claude to a Spectron instance over its /mcp HTTP route. |
This plugin wires up one MCP server in .mcp.json:
spectron — connects to the user's Spectron instance over its /mcp HTTP route.Spectron is not a SurrealDB database server. Use it only when the user explicitly references Spectron or when its tools appear in the active toolset. Don't route SurrealQL, schema, or record work here — that belongs to the SurrealDB plugin's surrealdb-database server.
The Spectron MCP URL is required — there is no default. Set it to your instance's /mcp endpoint, along with a bearer token, before launching Claude Code:
export SPECTRON_MCP_URL="https://your-spectron-instance.example.com/mcp"
export SPECTRON_MCP_TOKEN="<bearer-token>"
SPECTRON_MCP_URL — full URL including the /mcp path.SPECTRON_MCP_TOKEN — bearer token used to authenticate against the Spectron instance's /mcp route.If SPECTRON_MCP_URL is unset, the server won't connect — tell the user to export it and restart Claude Code.
The Spectron tool surface is whatever the connected instance exposes — do not assume specific tools exist. Check the active toolset before invoking, and prefer read-only operations unless the user has asked for a change. For any mutating action, state the intended change and confirm with the user first.
Use when the user asks Claude to inspect, query, administer, or troubleshoot SurrealDB through the bundled Database MCP server — the user's own SurrealDB instance, reached over its built-in /mcp HTTP route.
Use after editing or writing any `.surql` file, or when the user asks Claude to format, lint, or check SurrealQL files.
Using SurrealDB with the Python SDK, covering both client/server mode (WebSocket) and embedded mode (in-memory or file-based). Use when connecting to SurrealDB from Python, using the surrealdb Python package, running SurrealDB embedded without a server, or performing CRUD operations from Python code. Triggers: surrealdb Python, Surreal(), AsyncSurreal(), Python SDK, embedded SurrealDB, mem://, file://.
Vector search with SurrealDB using HNSW indexes, KNN queries, and similarity scoring. Use when creating vector indexes, querying vectors with KNN distance operators, building semantic search or RAG pipelines, tuning HNSW parameters (EFC, M, M0, distance function, type), or implementing recommendation systems with SurrealDB. Triggers: HNSW, vector, embedding, KNN, cosine, euclidean, semantic search, RAG, vector::distance.
Generate and modify SurrealQL queries to interact with SurrealDB databases. This includes creating and retrieving records, designing and managing schemas, establishing and querying graph relationships, performing live (real-time) queries, and leveraging all unique SurrealQL features for advanced database workflows. Use this skill whenever users need to write, adapt, or troubleshoot SurrealQL statements.