建立参考分工、锚定图变体、局部核验与版本记录,用于普通对话、画布和工坊的连续镜头创作。
The English summary is being prepared. Showing the original description.
Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via `lark-cli event consume <EventKey>` (covers IM message receive, reactions, chat member changes, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports `--max-events` / `--timeout` bounded runs and a stderr ready-marker contract — designed for AI agents running as subprocesses.
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
Prerequisite: Read
../lark-shared/SKILL.mdfirst for authentication,--as user/botswitching,Permission deniedhandling, and safety rules.
| 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 |
| 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 stderr diagnostics. AI should not use this — it silences the ready marker |
--as user|bot|auto | Identity for the session (see lark-shared) |
# Default: stream every event for the key (no filter, no projection)
lark-cli event consume im.message.receive_v1 --as bot
# 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
lark-cli event list --json → pick a legal keylark-cli event schema <key> --json → read resolved_output_schema + jq_root_path to determine field pathslark-cli event consume <key> [--jq '<expr>'] → consumeevent 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.
event consume treats stdin close as a shutdown signal (wired for AI subprocess callers). < /dev/null / nohup / systemd's default StandardInput=null will cause an immediate graceful exit (stderr reason: signal). To keep running:
< <(tail -f /dev/null)--max-events N / --timeout DOn 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 |
| non-0 | Error: ... (no exited line) | Startup / runtime failure (permissions, network, params, config) |
Orchestrators should treat reason: limit/timeout/signal (all exit 0) as "business completion" and non-zero as "failure".
kill -9Avoid kill -9 on consume processes: for EventKeys with a PreConsume hook (those that register server-side subscriptions via OAPI), kill -9 skips the OAPI unsubscribe and leaks server-side subscriptions (symptoms: "subscription already exists" on restart, duplicate event delivery). Prefer SIGTERM or closing stdin.
The command takes exactly one positional argument; k1,k2 and wildcards are unsupported. Listening to N keys means N subprocesses — this is intentional:
--as / --jq / --max-events / --timeout per keyAll N consumers share a single bus daemon (UDS local IPC), so the overhead is small
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
"." → fields are at the top level, write .chat_id".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 | Reference | Coverage |
|---|---|---|
| IM | references/lark-event-im.md | Catalog of 11 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) |
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
建立参考分工、锚定图变体、局部核验与版本记录,用于普通对话、画布和工坊的连续镜头创作。
The English summary is being prepared. Showing the original description.
用户提到白模/白膜/运镜预演/previs 时使用。调用本机 Blender 无界面渲染极简白模场景与运镜视频,用于验证构图遮挡、空间调度与动作时机,也可作为 AI 视频生成的全能参考。
The English summary is being prepared. Showing the original description.
在 Blender 中新建或修改可编辑模型、材质、灯光及场景工程。适用于产品建模、场景搭建、已有 blend 修改与渲染;纯白模运镜使用 blender-clay-previz。
The English summary is being prepared. Showing the original description.
画布能力由 canvas 工具契约提供,本文件仅保留操作顺序和数据安全约束。
The English summary is being prepared. Showing the original description.
汽车TVC、品牌片、汽车文案剧本、车辆资产与图片/视频提示词、分镜及Blender白模运镜。按人物叙事、生活观察、产品演示、造型光影等意图选择方法,维护车型身份与驾驶安全带连续性;不处理购车行情或维修问答。
The English summary is being prepared. Showing the original description.
专业的汽车3D模型图片生成技能,使用Gemini API生成高质量汽车展示图片,并通过豆包AI进行质量分析和优化。 使用场景:汽车品牌宣传片、车型展示、汽车广告素材生成。 关键词:汽车模型、车型图、汽车展示图、AI生图、Gemini
The English summary is being prepared. Showing the original description.