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Use when the user wants to gather context across multiple read-only connectors (jira, github, db, notion, ...) from a single natural-language prompt. The hub plans + dispatches connector calls in parallel.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Use when the user asks about Confluence content or wants to create, update, or delete Confluence pages and comments — CQL search, page retrieval, space metadata, comments, attachments, or any write operation on pages. Supports both read and write surfaces; every action passes the policy gate before any network call is made: read actions succeed by default, write and delete actions escalate by default, privilege actions are hard-denied.
Use when the user asks about Jira data or wants to create, update, or delete Jira content — JQL search, issue details, project metadata, comments, attachments, status transitions, or any write operation on issues and comments. Supports both read and write surfaces; every action passes the policy gate before any network call is made: read actions succeed by default, write and delete actions escalate by default, privilege actions are hard-denied.
Use when the user asks about read-only GCP inventory — Cloud Run services, Cloud SQL instances, Pub/Sub topics, or Cloud Logging entries. Queries are scoped to a single GCP project. Never modifies GCP resources.
Use when the user asks about GitLab data or wants to act on GitLab — project info, code search, issue/MR/release/pipeline inspection, or any write that creates, updates, closes, or deletes an MR, issue, note, or release; merging MRs (admin); and managing CI pipeline runs (retry / cancel / trigger / play_job).
Use this skill whenever the user wants to add a new agent connector to their @narai connectors workspace — wrapping a SaaS API, REST endpoint, GraphQL endpoint, SDK, or CLI tool into the canonical @narai connector shape (CLI + library + Claude Code plugin). Trigger even if the user doesn't say "connector" explicitly: phrases like "I want to query Stripe from Claude", "add Slack to our agents", "wrap our internal orders API", "connect Salesforce", "I have a GraphQL endpoint we need exposed", "make a Linear agent" all warrant this skill. Walks the user through identity, auth, and action-surface questions, then scaffolds the package, plugin layer, and tests by stamping out canonical templates and generating per-connector code. Do NOT use for: modifying existing connectors (just edit the file), wrapping MCP servers (different abstraction), or querying databases (db-agent-connector already covers postgres/mysql/sqlite/mssql/mongodb/dynamodb/oracle).
Use when the user asks about read-only AWS inventory — Lambda functions, RDS databases, S3 buckets, or CloudWatch metrics in an AWS account. Queries are scoped to a single region (except list_buckets, which is account-wide). Never modifies AWS resources.
| name | connector-hub |
| description | Use when the user wants to gather context across multiple read-only connectors (jira, github, db, notion, ...) from a single natural-language prompt. The hub plans + dispatches connector calls in parallel. |
| context | fork |
Answer the user's question by invoking the connector-hub binary exposed by
this plugin. It delegates to @narai/connector-hub, which reads
~/.connectors/config.yaml + ./.connectors/config.yaml, asks the Claude
Agent SDK for a plan, and dispatches each step in parallel.
connector-hub --prompt "<user's request>" [--consumer <name>] [--environment <name>] [--extra-context "<text>"]
Return the JSON envelope verbatim. The consumer parses plan + results
themselves.
{
plan: [{ connector, action, params }, ...],
results: [
{ step, connector, action, params, envelope },
{ step, connector, action, params, error: { code, message } },
...
],
}
Errors (planner failures, malformed plan entries, dispatch failures) appear
inline in results[] keyed by error.code rather than throwing.
Read-only — every dispatched connector enforces its own read-only guardrails. The hub itself only orchestrates; it never writes.
See the package README for full API details.