calendar-extractor

SKILLAI 工具
AI 工具 未标注权限 许可证不明确
安装这个技能

Periodically scan recent recording sessions, extract calendar events from transcripts, and push a daily summary to your iOS chat. Triggers: 'today's meetings', 'calendar extract', '今日会议', '提取日历'.

一句话选型结论

按资料字段整理

calendar-extractor是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_15292d5a/yjkj-calendar-extractor
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_15292d5a仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791684438
正文体量11.2 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
calendar-extractor当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

11.2 KB
模型实际读到的说明书原文,来自技能仓库

Calendar Extractor

> Periodically scan recent recording sessions, extract calendar events from transcripts, and push a daily summary to your iOS chat.

When to use

  • "today's meetings"
  • "calendar extract"
  • "今日会议"
  • "提取日历"

Core commands

> <userId> is optional. Omit it and it defaults to self. Each HiJavis user
> runs in their own openclaw container, so self is correctly isolated; the gateway
> token (not the userId) authenticates every server call. No registration is needed
> to start — pass an explicit ID only if you run multiple profiles in one container.

# Step 1 — fetch recent transcripts as JSON (the agent extracts events from this)
node scripts/calendar-extractor.js fetch [--hours N] [--limit N]

# Step 1 (auto / webhook) — fetch ONE completed unit, filtered from the window
node scripts/calendar-extractor.js fetch --session <sessionId> [--hours N]   # audio unit
node scripts/calendar-extractor.js fetch --kbd-input <inputId> [--hours N]   # keyboard unit

# Step 2 — push: pipe the extracted-events JSON array to stdin; dedups + delivers to iOS
echo '<events-json-array>' | node scripts/calendar-extractor.js push

# Step 2 (auto / webhook) — extract ONE unit at most once (idempotent)
echo '<events-json-array>' | node scripts/calendar-extractor.js push --unit <unitKey>

# Push management
node scripts/push-toggle.js on [--time HH:MM] [--tz IANA] [--channel iOS|Telegram|Discord|Slack]
node scripts/push-toggle.js off
node scripts/push-toggle.js status

# Optional: explicit userId / multi-profile (back-compat — prepend the ID)
node scripts/register.js <userId> <name>
node scripts/calendar-extractor.js <userId> fetch
echo '<events-json-array>' | node scripts/calendar-extractor.js <userId> push
node scripts/push-toggle.js on <userId> [--time HH:MM] [--tz IANA]

Workflow

This skill is a two-step pipeline: the script does the I/O (fetch transcripts, dedup, push),
the agent/LLM does the reasoning (extract events). Extraction is not hardcoded — the agent
reads the fetched transcripts and emits a JSON array of events.

  1. Fetch — node scripts/calendar-extractor.js <userId> fetch issues
    GET http://javis-server:8000/api/transcripts/recent?since=…&limit=… with the
    OPENCLAW_GATEWAY_TOKEN bearer and prints
    { "reference_time": LOCAL-wall-clock (zoneless, in tz), "reference_date": "YYYY-MM-DD", "reference_weekday": "Thursday", "reference_time_utc": ISO8601, "tz": IANA, "sessions": [ { session_id, started_at, ended_at, transcript } ] }.
  2. Extract — the agent reads that JSON and produces an events array. Each event:
    { "title", "start_at" (ISO 8601), "end_at" (ISO 8601, optional), "location", "attendees" (array), "notes", "source_ref" (session_id), "source_kind" ("audio"|"keyboard", from the session's source) }.
    Carry source_kind through so provenance flows to the /api/skill/data mirror and the iOS digest.
    Date resolution (required): the top-level reference_time is already local
    wall-clock in tz
    (zoneless) and reference_date/reference_weekday give the local
    "today" — so "today" == reference_date, and "tomorrow"/"Saturday"/"next Thursday" count
    forward from reference_weekday. Do not re-apply the tz offset and do not anchor on
    reference_time_utc (the raw instant, whose date can be the next day in the evening — that
    is exactly the off-by-one this field avoids). Fall back to the session's started_at only if
    reference_time is absent. Never use your own sense of "today". Emit each event's start_at/
    end_at as a full ISO 8601 instant with the explicit tz UTC offset (e.g. an 8 PM event
    in America/Los_Angeles → 2026-06-04T20:00:00-07:00) — not a zoneless string, which the
    pipeline would misparse in the container's system zone. Infer AM/PM from surrounding context (e.g. "show starts at 8pm" → evening; "before Gaza's
    party at 6pm" → 18:00). If a date or time genuinely cannot be resolved, emit null.
  3. Push — pipe the events array into node scripts/calendar-extractor.js <userId> push. The script:
    - dedups against per-user local state (data/users/<userId>.json → seen map, 30-day TTL),
    - best-effort mirrors all events to POST /api/skill/data (upsert by dedup_key) for the iOS app to read,
    - formats the new events as a markdown digest and delivers it via
    POST http://javis-server:8000/api/agent/push with {"skill": "calendar-extractor", "content": "<markdown>"}.

Per-unit auto trigger (webhook)

javis-server fires an openclaw webhook the moment a unit of input completes — an
audio session ends or a keyboard input is saved — so extraction runs without waiting for
the cron. javis-server POSTs http://<container>:18789/hooks/agent (Bearer = the
container's gateway_token) with a message asking the agent to run this skill for the
just-finished unit. The webhook endpoint is exposed by the container's openclaw config
hooks block ({ "enabled": true, "token": "<gateway_token>", "path": "/hooks" }),
which javis-server now emits per user. No new container code is needed.

A unit is audio:<session_id> (audio) or kbd:<keyboard_input_id> (keyboard).
Each unit is extracted at most once — the flag lives in extractedUnits (below).
The keyboard unit id is the same keyboard_input.id across all three sites — the
webhook (kbd:<id>), fetch --kbd-input <id>, and unitKeyFor (from each event's
source_ref) — so the auto and manual paths recognize each other's flags. fetch --kbd-input <id> resolves that single row via the dedicated endpoint
GET /api/transcripts/keyboard-input/<id> (gateway-token authed; returns the row as a
one-entry payload with source="keyboard", session_id=str(input id)). The aggregated
/api/transcripts/recent keys keyboard entries by daily session_id and carries no
per-row id, so it serves only the audio --session filter and the manual time-window
path.

  • Auto path (one unit). The agent runs fetch --session <id> / fetch --kbd-input <id>
    to pull just that unit, extracts events, then push --unit <unitKey>. push --unit:
  • if the unit is already in extractedUnits → no-op (already extracted: <unit>, idempotent);
  • else if extraction yielded zero events → the unit is left unflagged (the fetch
    may have raced the DB), so the next manual ask can back-fill it; nothing is written or pushed;
  • else mirror to /api/skill/data, push the digest to iOS, and record
    extractedUnits[<unitKey>] = { ts, events } (flag + cache).
  • Manual path (no --unit). When the user asks again ("today's meetings"), push
    with no --unit fills gaps: already-flagged units are re-displayed from their
    cached events (no table re-write); not-yet-flagged units are extracted, written, pushed,
    flagged, and cached. One combined digest; only fresh units touch the table.
  • Container down at completion → the webhook fails silently and the unit stays
    unflagged; the next manual ask back-fills it. No loss.

Push setup (cron registration)

When the user requests scheduled push:

Step 1: Save preferences

node scripts/push-toggle.js on <userId> --time 08:00 --tz America/Los_Angeles

This prints the ready-to-run openclaw cron add command (it derives the crontab from --time).

Step 2: Create the cron job via openclaw CLI

The default twice-daily schedule (08:00 & 18:00 America/Los_Angeles). Note the real openclaw flags
— --cron (not --schedule) for the expression and --message (not --command) for the agent payload:

openclaw cron add \
  --name "calendar-extractor-<userId>" \
  --cron "0 8,18 * * *" \
  --tz "America/Los_Angeles" \
  --session isolated \
  --message "Run /calendar-extractor. Step 1: node scripts/calendar-extractor.js <userId> fetch (recent transcripts as JSON, with a top-level reference_time/reference_date/reference_weekday + tz anchor). Step 2: extract calendar events as a JSON array (title, start_at, end_at ISO 8601 WITH the tz offset, location, attendees, source_ref, source_kind audio|keyboard from the session's source). reference_time is ALREADY local wall-clock in tz: today == reference_date, count weekdays from reference_weekday, do NOT re-apply the offset or anchor on reference_time_utc (fallback: session started_at). Infer AM/PM from context, use null when unresolvable. Step 3: pipe that array into node scripts/calendar-extractor.js <userId> push — it dedups and delivers a markdown digest to iOS."

Step 3: Confirm to user

Push is set up; results land in iOS agent chat under /calendar-extractor.

Supported channels: iOS (default). For Telegram/Discord/Slack add --channel <ch> --to "<channel-target-id>"
to a separate openclaw cron add — iOS delivery is the script's /api/agent/push call (no channel flag needed).

Notes

  • No external dependencies — Node 18+ built-ins only (fetch, fs, path). No npm install.
  • Data sources: audio recording transcripts and keyboard-dictation sessions — both via
    GET /api/transcripts/recent (gateway-token authed), each session carrying a source field
    ("audio" | "keyboard") — plus per-user local state (dedup memory). There is no
    HTTP_SOURCE_URL — the script talks to javis-server directly.
  • Dedup is local-state-authoritative. The container's gateway token can WRITE to
    /api/skill/data but cannot read it back (GET /api/skill/data requires a Clerk JWT), so novelty is
    decided by local state; the server write is a best-effort mirror for the iOS app.
  • Two local maps in data/users/<userId>.json (both 30-day TTL-pruned):
  • seen — event-level dedup ({ "<event-key>": "<ts>" }). Backstop so a duplicate
    event never re-reaches the table/chat even if a unit flag is lost.
  • extractedUnits — per-unit flag and event cache
    ({ "audio:<sid>" | "kbd:<id>": { "ts", "events": [...] } }). The primary
    "don't-extract-twice" record. Caching each unit's extracted events lets a manual ask
    re-display flagged units from the cache (no LLM re-run, no table re-write) — the
    container cannot read the calendar table back, so the cache is the only source.
  • Markdown, not native cards. A cron push delivers a content string rendered as markdown on iOS
    (MDBlock). Native EventList/EventCard blocks are emitted only during a live SSE agent turn
    (_maybe_emit_chat_block), not via the push path — so the digest is rich markdown by design.
  • User IDs only allow letters, digits, -, _ (path-traversal guard in data.js).
  • TZ caveat: the cron tz is fixed at registration. If you travel, re-register:
    node scripts/push-toggle.js off <userId>, then on <userId> --tz <new-tz>, then re-run openclaw cron add with the new --tz.
  • Backgrounded/killed iOS app: AGENT_PUSH is WebSocket-only (no APNs). For mission-critical
    delivery, add a Telegram channel as backup via a separate cron.

常见问题

5 问
答案由本站依据条目字段整理
calendar-extractor怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_15292d5a/yjkj-calendar-extractor。安装方式为未标注。装完刷新技能列表或重开客户端。

calendar-extractor支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

calendar-extractor权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

calendar-extractor收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

calendar-extractor用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

热门专题

按场景挑技能
全部专题 →

技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。