Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.
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Use when operating, debugging, deploying, or monitoring a Telegram bot or Telegram-to-agent gateway. Triggers on "telegram bot down", "bot not responding", "debug bot", "check webhook", "polling vs webhook", "restart bot", "deploy bot", "bot logs", "agent gateway", "Telegram Bot API error", "send test message", "бот не отвечает", "проверь бота", "логи бота", "перезапусти бота". Covers health checks, logs, webhook/polling diagnostics, environment validation, safe restart/deploy checklists, Bot API smoke tests, forum topic delivery, privacy mode, gateway routing, and incident notes.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use this skill when the real question is whether a Telegram bot is receiving updates, processing them in the intended runtime, and sending visible responses to the right chat, user, or forum topic.
.env values, connection strings, raw logs, private DMs,
payment payloads, session files, or full user records.<TELEGRAM_BOT_TOKEN>,
<TELEGRAM_USER_ID>, <CHAT_ID>, <TOPIC_ID>, <WEBHOOK_URL>.If the repo or runtime is unclear, identify:
TELEGRAM_BOT_TOKEN;getMe using a masked token path.getWebhookInfo
and inspect runtime logs.409 Conflict by reading the error text:
webhook conflict means webhook/deleteWebhook path; competing getUpdates
means find the polling owner.When the bot is a gateway from Telegram into an agent runtime, read references/hermes-gateway.md. The reference is Hermes-compatible but intentionally generic: bot handle, host, service name, home directory, chat ids, topic ids, env paths, and logs must be placeholders or redacted.
getUpdates, webhooks,
sendMessage, getMe, callbacks, payments, and join requests.start(bot_token=...) or a user-session E2E harness for what a Telegram user
sees.Safe read-only checks should avoid putting the token-bearing URL in shell history, process listings, or copied logs. Prefer a tiny local helper:
import json, os, urllib.request
token = os.environ["TELEGRAM_BOT_TOKEN"]
for method in ("getMe", "getWebhookInfo"):
with urllib.request.urlopen(f"https://api.telegram.org/bot{token}/{method}") as response:
data = json.load(response)
print(method, {"ok": data.get("ok"), "result_keys": sorted((data.get("result") or {}).keys())})
Do not paste the token-bearing URL into notes or issues. In reports, write:
getWebhookInfo: webhook_url=<set|empty>, pending_update_count=<n>, last_error=<redacted>
Direct getUpdates diagnostics can consume pending updates. Use it only with a
fresh nonce, short timeout, known update owner, and restore plan.
message_thread_id.message_thread_id. Preserve message_thread_id for non-General topics.Before restarting or deploying:
getMe, webhook/polling, and one visible smoke test.Answer with:
not checked, local only, runtime checked, verified in Telegram, or blocked..env, logs, user messages, payment payloads, or DB rows.message_thread_id when the bot lives in Telegram forum topics.还没有评价。欢迎分享你的使用感受。
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Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.
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Audits the agent rules in the current folder (AGENTS.md, nested AGENTS.md files) and the skill descriptions the agent sees at start, then reports what to cut, move or rewrite and edits only after the user says yes. Use on «аудит правил», «проверь AGENTS.md», «почему агент не слушается правил», «проверь скиллы».
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Робот агента Personal Corp. Агент делает себе голову робота из набора деталей, хранит её в штабе в stack/avatars.json и кладёт в штаб страницу avatar/robot.html, где робот стоит за партой своего штаба и вокруг видны отделы, без сервера и интернета. На уроке по ссылке входа с экрана урока робот входит в живой класс и горит маячком, пока агент работает. Триггеры /avatar, /avatar <ссылка входа>, сделай себе аватар, покажи своего робота, приди на урок.
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Use when choosing between engines or models for an agent pipeline and the answer must come from measurement on your own data, not from marketing pages: speech recognition for meeting recordings, the model that turns a transcript into notes, the critic model that checks it. Runs every variant in an isolated container, measures time, cost per hour of input (USD and RUB, with price source and date) and quality (WER/CER and course terms for ASR; code checks plus a judge of a different model for LLM steps), writes results.json/csv and one static analytics page. Triggers on "бенчмарк", "сравни движки", "сколько стоит час записи", "какую модель взять для пайплайна", "benchmark the pipeline", "compare ASR engines".
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Use when user asks for Claude Code usage stats, weekly analytics, project activity summary, or wants to see what projects were worked on. Triggers on "аналитика", "статистика claude", "cc stats", "weekly report", "что делал"
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Use when needing strategic project analysis from multiple independent expert perspectives. Triggers on business decisions, growth strategy, product direction, competitive analysis, or any situation where diverse C-level opinions reduce blind spots
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