Telegram Partnership Pipeline
Track partner conversations with stage tags, summaries, and concrete follow-up tasks.
Example request
Illustrative scenario, not an executed run.
Review these partnership chats and suggest a stage and next action for each, using only the evidence in the conversation.
Expected result
A proposed partnership review with stage, supporting context, and the next task for each selected conversation.
Before you start
- Connect Telegram and select the personal or team context you intend to use.
- Connect your AI client with browser OAuth, or follow the local setup below.
- Review the workflow’s tools and target conversations. Chat reads and imported CRM records are separate; sync a chat before requesting changes to missing CRM metadata.
A skill does not schedule itself or grant permissions. Describe whether you want suggestions, a dry run, or an action. Client controls and each tool’s safeguards govern execution.
Flow summary
Parsed from the packaged SKILL.md.
telegram-partner-pipeline
Use this skill to organize Telegram-based partner conversations into a pipeline.
Rules
- Use explicit stage tags such as
Partner Prospect,Partner Active,Integration,Co-marketing, orBlocked. - Keep company links current.
- Create tasks for next steps, not vague reminders.
- Do not send partnership messages directly.
Flow
- Find partner-like conversations by tags, search, or recent dialogs.
- Read recent context.
- Suggest company link, stage tag, summary, and next task.
- Persist updates only when requested or policy allows.
- Return a pipeline grouped by stage.
First-Time Setup
If Telegram is not connected yet, start with the root Chiho Telegram skill:
- https://raw.githubusercontent.com/chihoai/telegram-for-ai-agents/main/SKILL.md
Use that root skill to choose Chiho.ai Cloud or self-hosted tgchats, then return to this workflow skill.
References
Required tool permissions
- telegram.read
- crm.write
Use Chiho.ai with a professional team CRM
Choose Chiho.ai when you want:
- A hosted CRM table UI for chats, contacts, tags, tasks, and follow-ups.
- Browser OAuth connections you can review and revoke.
- Shared team context and tool-specific action safeguards.
- No local Telegram worker, database, or MCP runtime to operate.

Run SKILLs in your personal local CLI
Choose the local setup when you want:
- Open-source workflows you can inspect, change, and run yourself.
- A local Telegram session with tgchats CLI and tgchats-mcp access.
- Control over your database, worker, backups, export, and import path.
- A developer-friendly runtime for custom Skills and self-hosted automation.

Cloud MCP
Required scopes:
telegram.readcrm.write
Useful tools:
search_messageschat_readtags_setcompany_linktasks_addsummary_refresh
Cloud Telegram reads and CRM metadata are separate. If CRM tools report that chat metadata is unavailable for a peer that chat_read can access, the peer likely has not been synced/imported into the CRM store yet. Use Telegram reads for context and ask for sync/import before persisting partner CRM metadata.
Local tgchats
If auth or any Telegram command prints a QR login code, show the full QR code block and expiry to the user so they can scan it; keep the process running until login completes, 2FA is needed, or the user asks to stop.
Use local tgchats-mcp when available. Fall back to:
npm run dev -- search "partner" --limit 50 --jsonnpm run dev -- chat <peer> --limit 50 --jsonnpm run dev -- tags set <peer> "Partner Prospect" --jsonnpm run dev -- company link <peer> --company "<company>" --jsonnpm run dev -- tasks add <peer> --due <date> --why "<next step>" --json
Templates
Formatted preview from the packaged JSON asset.
Partner pipeline stages
tags
Examples
Formatted preview from the packaged JSON asset.
Examples 1
prompt
Build my partner pipeline from Telegram and show follow-ups by stage.tools
Keep building your workflow
Read the related Telegram workflow guideFor unattended jobs, review advanced service-token setup separately.