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Found 17 Skills
Lark Event Subscription: Real-time monitoring of Lark events (messages, address book changes, calendar changes, etc.) via WebSocket long connection, output NDJSON to stdout, supports compact Agent-friendly format, regex routing, and file output. Used when users need to monitor Lark events in real-time and build event-driven pipelines.
Gmail: Watch for new emails and stream them as NDJSON.
Systematic evidence-based debugging using runtime logs. Generates hypotheses, instruments code with NDJSON logs, guides reproduction, analyzes log evidence, and iterates until root cause is proven with cited log lines. Use when the user reports a bug, unexpected behavior, or asks to debug an issue.
Convert Next.js bundle analyzer data to NDJSON and explore it
Use when building an internal admin-facing AI agent in a Medusa project. These agents are operated by merchants and store operators — not customers. Covers data models, module service, agent runtime (tools, system prompt, streamText), streaming API routes (NDJSON), and admin UI chat extensions. Load for any internal agent type: store operations assistant, product audit, cohort analysis, customer service tooling for support staff, etc. Do NOT use for customer-facing agents (storefront chatbots, buyer-side assistants).
Load CSV and JSON files into Elasticsearch indices using the bulk API and explicit mappings when field types matter. Use when batch-importing local files, converting CSV rows or JSON arrays to NDJSON bulk format, or verifying document counts and mappings after ingest — not for Logstash pipelines, Beats, custom scripts, or index-to-index reindex.
Google Workspace Events: Subscribe to Workspace events and stream them as NDJSON.
Generate type-safe API clients, TanStack Query/SWR hooks, Zod schemas, MSW mocks, Hono server handlers, MCP servers, and SolidStart actions from OpenAPI specs using Orval. Covers all clients (React/Vue/Svelte/Solid/Angular Query, Fetch, Axios), custom HTTP mutators, authentication patterns, NDJSON streaming, programmatic API, and advanced configuration.
Analyze application logs from the .evlog/logs/ directory. Use when debugging errors, investigating slow requests, understanding request patterns, or answering questions about application behavior. Reads structured NDJSON wide events written by evlog's file system drain.
Bring local CSV, TSV, TXT, JSON, JSONL (NDJSON), XLS, and XLSX files into AE end-to-end: identify the source's business meaning, generate and confirm a tracking plan, transform rows into UE records, and upload. Also supports privacy-preserving local analysis and handing a small file to AE Agent. Use whenever a user wants to import offline/local data into AE or analyze a file without uploading it.
Feishu Real-time Event Subscription (WebSocket). Use `event list` to view supported EventKeys; `event schema` to check event payload/scope; `event consume` to start long-connection subscription, where event streams are written to stdout in NDJSON format (blocking, one process subscribes to one EventKey); `event status` to view active local consume processes; `event stop` to terminate consume processes by PID / EventKey / --all. Supports over 22 EventKeys (including IM message receive/read/recall/reaction, group member changes, contact employee changes, calendar changes, cloud disk title/collaborator changes, approval instances and tasks, VC meeting start/end). Status files: ~/.feishu-cli/events/<app_id>/bus.json + flock file lock + WebSocket auto-reconnect. This skill is applicable when users request "listen to Feishu events", "real-time message event reception", "approval callback subscription", "event stream", "WebSocket long-connection listening", "event consume", "event list / schema / status / stop", "AI Agent bot real-time response". Note: This skill only handles subscription; for event webhook business logic (pushing to Feishu messages/writing to multidimensional tables), please use with feishu-cli-msg / feishu-cli-bitable.
Use when the user runs /debug-voice, says voice mode has flaws, asks to see or capture what happened in a Grok realtime voice session, or a voice integration has no debug logging yet. Proposes a plan, then installs a dev-only log pipeline (client logger → local NDJSON) in the app's own language and conventions, then runs the fix loop: match the user's report to log signatures, fix one thing, re-test.