Individual skill
pachca-ai-agent
Решить, бот или MCP, и сделать AI-агента в Пачке в виде бота: его зовут упоминанием в чате или треде либо пишут ему в личный чат, он собирает контекст треда, показывает таймер agent-thinking, отвечает в треде и оформляет длинный ответ карточкой .md. Когда: «AI-агент в Пачке», «агент отвечает по упоминанию в треде», «агент не слышит упоминание», «бот-агент в личных сообщениях», «как агенту собрать контекст треда», «реакция agent-thinking», «длинный ответ агента карточкой .md», «бот или MCP», "AI agent bot in Pachca", "agent replies when mentioned", "agent does not hear a mention", "read thread context", "thinking indicator", "agent reply as an .md card", "bot vs MCP". Not for: working in Pachca from Claude or Cursor through MCP → pachca, pachca-messaging, pachca-search; drafts and scheduled messages (a bot cannot make them), sending a file or report from Claude, Cursor or the CLI → pachca-messaging; webhooks, tokens and settings of any bot → pachca-bots; acting on behalf of an employee → pachca-oauth.
plugins/pachca/skills/pachca-ai-agent/SKILL.md
Source commit 542014c04cf308d45040194e9290551570a1aee8
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 11
- Repository last updated
- Nov 7, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
Files and excerpt
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Browse files
SKILL.mdcore · 19,309 bytesSKILL.mdcore · 19,309 bytesSKILL.mdcore · 19,309 bytesreferences/drafts-and-scheduled.mddoc · 3,581 bytesreferences/handling-a-mention.mddoc · 16,280 bytesreferences/rich-answers.mddoc · 4,708 bytes
Read excerpt
# AI agent in Pachca
An AI agent in Pachca is a bot. Employees call it by an `@` mention in a chat
or thread or write to it in a DM. It learns about messages from the bot's
outgoing webhook, reads the context, does the work through the API and answers
in the same place with the bot token. The agent does the work; the employee who
called it is responsible for the result.
## When to use
- Designing or debugging an agent that lives in Pachca and answers mentions and DMs.
- Deciding what the agent reads before acting, how it shows it is busy, where it
replies and how it formats a long result.
- Deciding how the employee checks a risky message: a bot cannot leave drafts.