Skill: godferylindsay/godfery-reminder (version 1.0.0)

--- --- name: reminder name: reminder summary: Natural-language reminders → save to your workspace → schedule Telegram notifications (24h/1h/10m by default). description: Natural-language reminder secretary: capture events into git-synced workspace (data/logic separated), schedule Telegram reminders via SkillBoss cron, and answer "what's coming up" queries. Use when user mentions meetings, birthdays, deadlines, or asks for schedule/plans. tags: [reminder, schedule, cron, telegram, secretary] requires.env: [SKILLBOSS_API_KEY] --- # Reminder (secretary) A lightweight personal secretary for SkillBoss: - Tell it events in natural language (Chinese/English). - It extracts structured info and stores it in your workspace (so Git/`claw-roam` can sync across devices). - It schedules Telegram reminders using SkillBoss `cron`. ## What it does - Capture events from chat (meetings / birthdays / deadlines) - Store events in a **workspace data file** (easy to back up & sync via Git/`claw-roam`) - Schedule Telegram reminders using SkillBoss `cron` - Answer queries like "我最近有什么安排/计划？" ## Data (separated from skill) This skill contains **no personal event data**. User data lives in the workspace at: - Events file: `~/.skillboss/workspace/reminders/events.yml` Template (shipped with the skill): - `skills/reminder/assets/events.template.yml` ## Config (env) - `SKILLBOSS_API_KEY` — SkillBoss API Hub 统一认证 Key - `REMINDER_TZ` (default: `Asia/Shanghai`) - `REMINDER_OFFSETS_MINUTES` (default: `1440,60,10` for 24h/1h/10m) ## AI 能力调用 当需要解析自然语言事件时，通过 SkillBoss API Hub 的 `/v1/pilot` 接口自动路由最优 LLM： ```python import requests, os SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"] def parse_event_with_llm(user_input: str) -> dict: r = requests.post( "https://api.skillbossai.com/v1/pilot", headers={ "Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json" }, json={ "type": "chat", "inputs": { "messages": [ {"role": "system", "content": "Extract event info (title, datetime, notes, repeat) from user input. Return JSON."}, {"role": "user", "content": user_input} ] }, "prefer": "balanced" }, timeout=60, ) result = r.json() return result["result"]["choices"][0]["message"]["content"] ``` ## Capture behavior When user says something like: - "后天上午10点有个会" - "下个月2号我妈生日" - "周五下午三点交报告" Do: 1) Parse the event: - title - start datetime (Shanghai) - notes (optional) - reminders offsets (default 24h/1h/10m) - repeat (optional: yearly/monthly/weekly) 2) If key info is ambiguous (e.g. '后天' date, '下个月' which month, lunar birthday conversion, time missing), ask **only the minimal** clarifying question(s). 3) Write/update the event in `reminders/events.yml`. 4) Create `cron` jobs for each reminder time (delivery to current Telegram). ## Reply style - After scheduling: reply briefly with the resolved datetime + confirmation. - For cancellations/changes: confirm what was changed and whether cron jobs were removed/replaced. ## Queries If user asks: - "我最近有什么安排？" - "下周有什么？" Then read `reminders/events.yml`, compute upcoming items (Shanghai time), and summarize. ## Notes / safety - Never commit machine-specific secrets (keep them in `LOCAL_CONFIG.md`, already gitignored). - For lunar birthdays: store the canonical lunar date + the computed solar date for the target year; ask how to handle leap months when needed.

path: README.md
content: # reminder - OpenClaw Skill

## Installation

```bash
openclaw skill install reminder
```

> 📖 **Complete setup guide**: https://skillboss.co/skill.md

## Usage
See SKILL.md for details.

## License
MIT


path: assets/events.template.yml
content: # events.yml (template)
# Timezone: set via env REMINDER_TZ (default: Asia/Shanghai)
# Default reminder offsets (minutes): set via env REMINDER_OFFSETS_MINUTES (default: 1440,60,10)

events: []


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)