What Lark Events does
Lark Events is a command-line interface skill designed for real-time event listening and processing within the Lark/Feishu ecosystem. It allows developers to subscribe to and consume various events such as instant messaging changes, approval status updates, task modifications, and virtual meeting activities. By utilizing the lark-cli event consume <EventKey> command, users can stream events in NDJSON format, which is particularly useful for building Lark bots or processing messages in real-time. The skill is tailored for long-running subscribers and streaming webhook handlers, making it ideal for applications that require immediate responses to events.
The core functionality of Lark Events is encapsulated in several commands that facilitate the listing of available event keys, inspecting their schemas, and consuming events. Users can specify parameters to filter events or limit the number of events consumed, providing flexibility for different use cases. The skill supports bounded runs through flags such as --max-events and --timeout, allowing users to control how long they listen for events. Additionally, it features a subprocess contract that ensures graceful exits and proper handling of event consumption, which is critical for maintaining the integrity of the event stream.
This skill is particularly useful for developers and designers who are building applications that integrate with Lark/Feishu and need to react to events in real-time. Whether you are creating a chatbot, a task management tool, or any application that requires immediate interaction with user actions or system changes, Lark Events provides the necessary tools to listen and respond to these events effectively. It is designed for those who are comfortable with command-line interfaces and require a robust solution for event-driven programming within the Lark ecosystem.
When to use it
Use this skill when you need to listen to and react to events in real-time from Lark/Feishu, such as chat messages or task updates.
When not to use it
This skill may not be suitable for applications that do not require real-time event processing or for users unfamiliar with command-line interfaces.
What you can build with it
Building a Lark Bot
Create a bot that responds to user messages in real-time by consuming IM events.
Task Management Integration
Listen for task updates and automatically notify users or update dashboards.
Real-Time Meeting Notifications
Subscribe to VC meeting events to send alerts or log meeting activities.
How to install Lark Events
View source1. Install with the skills CLI
npx skills add larksuite/cli/lark-event --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by larksuiteLark Events
Prerequisite: Read
../lark-shared/SKILL.mdfirst for authentication,--as user/botswitching,Permission deniedhandling, and safety rules.
Core commands
| Command | Purpose |
|---|---|
lark-cli event list [--json] | List all subscribable EventKeys |
lark-cli event schema <EventKey> [--json] | Show an EventKey's params and output schema |
lark-cli event consume <EventKey> [flags] | Blocking consume; events → stdout NDJSON |
lark-cli event status [--json] [--fail-on-orphan] | Inspect the local bus daemon status |
lark-cli event stop [--all] [--force] | Stop the bus daemon |
Common flags
| Flag | Description |
|---|---|
--param key=value / -p | Business params (repeatable; comma-separated for multi-value). Unknown keys fail with valid names listed inline |
--jq <expr> | jq expression to filter / transform each event; empty output skips the event |
--max-events N | Exit after N events. Default 0 = unlimited |
--timeout D | Exit after duration D (e.g. 30s, 2m). Default 0 = no timeout. Whichever of --max-events / --timeout fires first wins |
--output-dir <dir> | Write each event as a file (relative paths only; prevents traversal) |
--quiet | Suppress ready/exit markers and per-event stderr diagnostics, including drop warnings. This can hide event loss. AI should not use this — it removes readiness and integrity signals |
--as user|bot|auto | Identity for the session (see lark-shared) |
Examples
# Default: stream every event for the key (no filter, no projection)
lark-cli event consume im.message.receive_v1 --as bot
# List every EventKey of one domain (the authoritative, always-current catalog)
lark-cli event list --domain vc --json
# Grab one sample event to inspect payload shape
lark-cli event consume im.message.receive_v1 --max-events 1 --timeout 30s --as bot
# Run for 10 minutes then auto-exit
lark-cli event consume im.message.receive_v1 --timeout 10m --as bot
# Consume multiple EventKeys concurrently (one shape per process, no dispatcher)
lark-cli event consume im.message.receive_v1 --as bot > receive.ndjson &
lark-cli event consume im.message.reaction.created_v1 --as bot > reaction.ndjson &
wait
Call flow
lark-cli event list --json→ pick a legal key.--domain <d>narrows to one domain; the domains areapplication,approval,board,card,im,minutes,task,vc. An unknown domain fails with the valid set listed in the hint.lark-cli event schema <key> --json→ readresolved_output_schema+jq_root_pathto determine field pathslark-cli event consume <key> [--jq '<expr>']→ consume
Subprocess contract
Ready marker
event consume's stderr emits a fixed line [event] ready event_key=<key>. Parent processes should block on stderr until this line appears, then start reading stdout. Do not fall back to sleep.
stdin EOF = graceful exit
event consume treats stdin close as a shutdown signal (wired for AI subprocess callers). Bounded runs are exempt: when --max-events or --timeout is set (> 0), stdin EOF is ignored and the run exits only via its own bound, timeout, or SIGTERM. For unbounded runs, < /dev/null / nohup / systemd's default StandardInput=null will cause an immediate graceful exit (stderr reason: signal). To keep an unbounded run alive:
- Feed stdin a source that never EOFs:
< <(tail -f /dev/null) - Or run bounded:
--max-events N/--timeout D
Exit codes & reason
On exit, the last stderr line is [event] exited — received N event(s) in Xs (reason: ...).
| exit code | reason | Trigger |
|---|---|---|
| 0 | reason: limit | --max-events reached |
| 0 | reason: timeout | --timeout reached |
| 0 | reason: signal | Ctrl+C / SIGTERM / stdin EOF (stdin EOF applies to unbounded runs only) |
| 1 | JSON error envelope on stderr | Lark API business failure during pre-consume setup (for example subscription create/delete) |
| 2 | JSON error envelope on stderr (no exited line) | Validation failure (unknown EventKey, bad --param / --jq, another bus already connected) |
| 3 | JSON error envelope on stderr | Auth failure (missing token, missing scopes) |
| 4 / 5 | JSON error envelope on stderr | Network / internal failure (bus startup, handshake, file I/O) |
Startup and runtime failures emit a structured JSON envelope on stderr: {"ok":false,"error":{"type","subtype","param","message","hint",...}} (the envelope may also carry top-level identity / _notice siblings). Parse error.type / error.subtype to branch (e.g. missing_scope carries a missing_scopes list), error.param to find the offending flag, and error.hint for the recovery action — do not regex-match message text.
Orchestrators should treat reason: limit/timeout/signal (all exit 0) as "business completion" and non-zero as "failure".
Never kill -9
Avoid kill -9 on consume processes for EventKeys whose PreConsume registers a server-side subscription and unsubscribes on exit (minutes, vc, board keys): kill -9 skips the OAPI unsubscribe and leaks the server-side subscription (symptoms: "subscription already exists" on restart, duplicate event delivery). Keys whose subscription is a durable relation with no cleanup (task, approval keys) do not leak this way, but SIGTERM or closing stdin remains the right shutdown for every key.
One consume, one EventKey (multi-key = multi-shell)
The command takes exactly one positional argument; k1,k2 and wildcards are unsupported. Listening to N keys means N subprocesses — this is intentional:
- One shape per process stdout; no dispatcher logic required in the AI
- Fault isolation (one key failing doesn't affect others)
- Independent
--as/--jq/--max-events/--timeoutper key
All N consumers share a single bus daemon (UDS local IPC), so the overhead is small
Writing jq via schema
event schema <key> --json is the source of truth for writing --jq. Four things to look at:
(1) Where fields start — see jq_root_path
- Value
"."→ fields are at the top level, write.chat_id - Value
".event"→ fields are inside a V2 envelope, write.event.chat_id
(2) Field list and types — see resolved_output_schema.properties.<name>
Each field carries type / description, and some also have format. Snippet (from event schema im.message.receive_v1 --json):
{
"chat_id": {"type":"string", "format":"chat_id", "description":"Chat ID, prefixed with oc_"},
"sender_id": {"type":"string", "format":"open_id", "description":"Sender open_id, prefixed with ou_"},
"create_time": {"type":"string", "format":"timestamp_ms", "description":"Send time as ms-epoch string"}
}
(3) Field semantics — see the format tag
Lark-defined semantic tags (not JSON Schema's standard format). Common values: open_id / chat_id / message_id / timestamp_ms / email. Purpose: distinguish "same string type, different meanings" fields so you can reverse-lookup via API or convert formats.
(4) Decoded state — read the field's description
event consume runs Process hooks that may pre-decode some payload fields (flattening V2 envelopes, rendering .content to plain text, etc.) — behavior differs from raw OAPI. Always read the field's description before writing jq, especially for generic field names like content / data / body / payload.
Why it matters: blindly applying fromjson to an already-decoded text field makes jq error on every event and silently drop it — the consumer looks alive but emits nothing, with only a single WARN line buried on stderr. (This is the general behavior: any jq runtime error skips the event with a one-line WARN; the loop does not abort.)
Don't shortcut the schema: when projecting event schema --json with jq, do not strip .description from properties — that's the field that tells you whether a field is already decoded. Dump the full property objects, not just keys.
Aside: --param's valid parameters also live in the schema — the params section lists name / type / required / enum / default / description; section missing = this key accepts no --param.
Topic index
| Topic | Reference | Coverage |
|---|---|---|
| Application | references/lark-event-application.md | Catalog of Application EventKeys, including application.bot.menu_v6 for custom bot menu push events + flattened event_key / operator fields + jq recipe |
| Approval | references/lark-event-approval.md | Catalog of 2 Approval EventKeys (approval.instance.status_changed_v4, approval.task.status_changed_v4) + optional/multi subscription_type pre-registration + user-auth subscription lifecycle + flat output field reference |
| IM | references/lark-event-im.md | Catalog of 12 IM EventKeys + shape notes (flat vs V2 envelope) + im.message.receive_v1 field gotchas (sender_id is open_id only; .content is plain text except for interactive cards) + common jq recipes (filter by chat_type / message_type / sender); for card.action.trigger see also ../lark-im/references/lark-im-card-action-reply.md |
| Task | references/lark-event-task.md | Catalog of 1 Task EventKey (task.task.update_user_access_v2) + Native V2 envelope shape + task commit types + user/bot subscription notes |
| VC | references/lark-event-vc.md | Catalog of 7 VC EventKeys (meeting lifecycle participant_meeting_started/joined/ended_v1, vc.note.generated_v1, recording recording_started/transcript_generated/ended_v1) + field reference + source type semantics; the live list is always lark-cli event list --domain vc --json |
| Minutes | references/lark-event-minutes.md | Catalog of 1 Minutes EventKey (minutes.minute.generated_v1) + field reference + source type semantics (meeting only) |
| Whiteboard | references/lark-event-whiteboard.md | Catalog of 1 Board EventKey (board.whiteboard.updated_v1) + per-whiteboard subscription model (requires -p whiteboard_id=<token>) + payload field reference (whiteboard_id / operator_ids triple-id) |
Frequently asked questions about Lark Events
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