Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Track and nag about Microsoft Outlook email and (optionally) Microsoft Teams messages on a Windows machine, without relying on web versions. Use when the user asks to: (1) monitor inbox/mentions and remind them on Telegram/Teams until dismissed, (2) draft short, personable, low-jargon email replies from an existing Outlook thread, (3) surface action items from the last N days (default 7). Works via Outlook Desktop automation (COM) and optionally Microsoft Graph for Teams if configured.
Track and nag about Microsoft Outlook email and (optionally) Microsoft Teams messages on a Windows machine, without relying on web versions. Use when the user asks to: (1) monitor inbox/mentions and remind them on Telegram/Teams until dismissed, (2) draft short, personable, low-jargon email replies from an existing Outlook thread, (3) surface action items from the last N days (default 7). Works via Outlook Desktop automation (COM) and optionally Microsoft Graph for Teams if configured.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Inbox nagging (Outlook Desktop): find messages from the last 7 days that likely need a reply, then send reminders until dismissed. Email reply drafting: produce concise drafts that match the user’s tone rules (conversational, spartan, polite; simple English; short; reduce redundancy; avoid em dashes). Teams tracking (optional): if Microsoft Graph is configured and permitted by tenant policy, track recent Teams chat messages that likely need a reply and nag similarly.
Do not auto-send emails or Teams messages. Create drafts in Outlook, or paste drafts into Telegram for approval. For reminders: send to Telegram by default; only send to Teams if explicitly enabled.
Ensure Outlook Desktop is installed and signed in. Install the Python dependency (ask before doing this on the machine): pip install pywin32 Create a config file: Copy references/config.example.json → references/config.json and fill it. IMPORTANT: Do not commit references/config.json if it contains personal IDs.
Only if you can create an Entra ID app registration and grant permissions. Copy references/config.example.json → references/config.json and fill teams.tenantId, teams.clientId, and teams.scopes. Then run scripts/teams_scan.py once to complete Device Code sign-in. See references/teams-graph-setup.md.
Use scripts/scan_outlook.py.
Use scripts/teams_scan.py. Parameters: --days 7 (default) First run will print a device code sign-in message (follow it once). Parameters: --days 7 (default) --mode report|telegram (default: report) --max-items 200 Heuristics (editable in config): Within last N days Not from obvious broadcast sources Prefer threads where user is To: (not only CC) OR subject/body contains direct asks Prefer messages not replied by user (best-effort) Output: A list of actionable items with: subject, sender, received time, why it was flagged. Then: If --mode telegram, send a single concise reminder message with bullet items.
This skill uses a local state file to avoid nag loops. Dismiss: add the message’s internetMessageId (or subject+timestamp fallback) to the dismissed list. Snooze: store a snoozeUntil timestamp. Use scripts/state.py helpers (or edit JSON directly if needed).
Use scripts/draft_reply.py.
Use scripts/scan_all.py to update cached scan results, then scripts/remind.py to generate a Telegram-ready reminder message (it does not send). It applies: 1:1 Teams → remind when needsReply=true Group Teams → remind when mentionedMe=true AND needsReply=true Outlook → remind for flagged items The agent should send the output to Telegram if non-empty. Inputs: Either a message EntryID (preferred) or search by subject + recent window. Behavior: Extract the thread (best-effort) + key metadata. Generate 2 drafts: Short (2–5 sentences) Normal (5–10 sentences) Apply tone rules from references/writing-style.md. Outputs: Print drafts to stdout. Optionally create an Outlook draft reply (no sending) if --create-draft is set.
Ask only what you cannot infer: Which email to reply to (subject / sender / when) The user’s intent (agree/decline/ask for info/confirm timeline) Any constraints (deadlines, attachments, names) Keep questions minimal (max 3 at a time).
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.