agentleFS
Sign inStart free
shakhruzshakhruz/mila-core/skills/inbox/SKILL.md

inbox

Skill3 starsChanged 13 days agoApache-2.0View on GitHub

Use when the owner writes \"inbox\", \"questions for me\", \"what is waiting for me\": waiting questions, one card at a time. RU: «входящие», «inbox», «вопросы ко мне», «что ждёт меня», «что от меня нужно».

25 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use tailor, task and 5 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ledqSkill

    tailor

    Tailor the resume to one job posting. Give it a URL, paste the posting (or refer to one pasted earlier in this chat), or point at a saved application folder; it resolves the JD and runs the tailor-pipeline workflow end to end.

    Also in 3 projects that use this

  • endlessblinkSkill

    task

    Create a new task in MASTER_PLAN.md with auto-generated sequential IDs. Supports TASK, BUG, FEATURE, and INQUIRY types. Triggers on "/task", "add task", "new task", "create task", "track this".

    Also in 3 projects that use this

  • VercelSkill

    setup

    Set up Vercel CLI and project configuration. Use when the user says "set up Vercel", "configure Vercel", "link to Vercel", or "vercel init".

    Also in 6 projects that use this

  • AnthropicSkill

    status

    Case status summary by audience — client-facing (plain language), internal (for the professor), or court-ready (formal caption format per local rules). Same facts, different framing and depth. Use when a student needs to update the client, brief the professor, or prepare a court status report.

    Also in 3 projects that use this

  • genomewalkerSkill

    learn

    Learn from web sources, generate SKILL.md, and store key patterns in soul memory. Trigger keywords: learn, skill-gen, web-learn, documentation, tutorial.

    Also in 3 projects that use this

  • NVIDIASkill

    research

    Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.

    Also in 4 projects that use this

The file

Create a free account to mount
Files
SKILL.md

When to use (full): Inbox: questions waiting for the owner's word, one card at a time. Use when the owner writes "inbox", "questions for me", "what is waiting for me", "what do you need from me". RU: Входящие — вопросы, которые ждут согласия владельца, по одной карточке. Применять, когда владелец пишет «входящие», «inbox», «вопросы ко мне», «что ждёт меня», «что от меня нужно».

Входящие · вопросы ко мне по одной

  1. Колода: python3 ~/.claude/skills/cards/cards.py next inbox — мои вопросы. Вопросы команды видит Мила-администратор в мини-аппе «Офис Мил» (сервер собирает их по teams.json); из контейнера чужие work не видны, --home — только на сервере. Порядок сам: срочные, потом по сроку, потом по времени. Отложенные «до завтра» вернутся сами в 09:00.
  2. Показываю ОДНУ карточку — text и buttons из ответа, первой строкой «Входящие · N» (N = left).
  3. Нажатие → cards.py button "[кнопка] …" → снова next → следующая карточка. Пусто — «Все ответы розданы: N» (сколько ответил за этот заход).
  4. Ответы на вопросы команды владелец даёт в мини-аппе — сервер сам пишет их в файл той Милы и шлёт ей событие.
  5. Вопросов нет с самого начала — «Вопросов к вам нет» и одно дело, которое двигаю сама. Не пересказываю колоду списком и не задаю вопрос вне карточки: одна карточка — одно решение.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free