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Ops Inbox

Organization
Lifecycle-Innovations-Limited
ops-inbox

OPS on-demand: This skill should be used when the user asks to "check inbox", "inbox zero"…

Overview

PublisherLifecycle-Innovations-Limited
Repositoryclaude-ops
Skill nameops-inbox
Stars
543
Forks
64
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Lifecycle-Innovations-Limited on GitHub. Read the source before you install it.

Installation

Install the Ops Inbox AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-inbox
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Lifecycle-Innovations-Limited/claude-ops.git /tmp/claude-ops
mkdir -p .claude/skills
cp -r /tmp/claude-ops/claude-ops/skills/ops-inbox .claude/skills/ops-inbox
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ops Inbox in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ops Inbox on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ops Inbox is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OPS ► INBOX

Load ops-rules before acting. Public repo: no personal data. Run in the parent session: readers return evidence; the parent owns draft presentation and sends.

AUTO-START DRAFTING: validate per reply

Always report to the main agent by default. Never set context: fork for this skill: the parent owns the visible queue. Do not wait for "continue drafting". The invocation starts the selected channels (default: all configured channels). No continuation menu, channel picker, or second "start drafting" prompt.

  1. Check existing ownership and reusable evidence before launching readers. Enumerate accounts/workspaces once; record each source's actual read status.
  2. Use an existing fresh report or the authorized read-only scan path. The bundled scanner is a candidate pre-filter, not proof that a request is unanswered. Do not run a second overlapping whole-inbox sweep. See references/runtime.md.
  3. Run independent read-only source/thread readers in parallel, within the executing machine's concurrency limit. Keep the quickest useful candidate in the parent; do not leave the parent waiting for an aggregate report.
  4. Validate full person/topic context per candidate, including sent history on every configured account. See references/details.md. A KEEP row alone is not a ready draft. Missing load-bearing context stays unknown.
  5. Surface the first validated draft immediately. Do not wait for unrelated sources or the rest of the inbox. Recheck its live thread before showing it. Every later ready candidate joins the parent's queue as evidence arrives.
  6. One draft → one explicit approval → one send. Use the installed approved outbound gate; email, WhatsApp and Slack go only through the host's approved outbound gate. Populate its real session/thread/recipient metadata on the first call. Go is not approval. No self-created approval proof or alternate send route.
  7. After sent=false, show the gate-returned full draft and end that presentation turn. Only the next native user event can advance its decision and the next draft. A transport hold may retain separately approved records for later gate-only drain; never show another draft in the same wait turn. Different threads/intents stay separate; unsupported queue states are not ready.
  8. In the interactive authorized phase, complete answered/resolved items by verifying then archiving Gmail and every owned WhatsApp JID on its account. No extra menu for the expressly authorized completed set; protect open tasks, labels and unknown media. Mark-read is separate. Cron scans remain read-only.

Readers never send, archive, mark-read, modify integrations, or ask the owner questions. They send evidence packets to the parent as soon as ready; an idle worker without a report is not completion. See references/fan-out.md.

Coverage is not unread state

  • Email: every mailbox, including sent history, All Mail and discovered action/follow-up labels. Inbox, read/unread, archived, categories and drafts are not evidence that an ask was handled.
  • WhatsApp: every connected WhatsApp account, labelled separately. Connected but agent-disabled accounts stay explicit not-checked gaps; do not enable or access them. Derive coverage from complete discovery, not a fixed count. Prove phone/JID/LID identity before merging aliases; reconcile incoming and outgoing across authorized accounts. A generic MCP name does not prove coverage.
  • Slack: every Slack workspace, scoped human DMs/group DMs (im,mpim), allowed public_channel and private_channel history, mentions and replies. Read-state is not the filter; inspect thread replies, not just channel tails.
  • Other configured sources: allowlisted iMessage/SMS, user-auth Telegram, scoped Discord, Notion comments/tasks, contact memory and open commitments.
  • Dates/availability: every configured calendar plus the show/travel source of truth for the candidate's relevant dates. Never infer timezone from a number.

Paginate and disclose the lookback and retention limits. Record not checked, partial, failed, or not configured explicitly; unknown is never a clean zero. Older known open asks stay in the queue even outside the scan window.

What the owner sees

One compact context block: who, the two-sentence thread arc, the actual latest ask, why this answer helps, and any source gap. Then the gate shows the exact recipient/account/thread, reply-all recipients, subject, full body and attachments. The gate's latest delivered full-draft proof binds approval to those bytes.

After a native, proven yes to that shown draft, send when the gate permits without a second approval menu. A typed yes followed by a refused/cancelled physical gate is not approval. On failure keep the intent and exact diagnostic owned. Continue independent read-only research, but advance another presentation only after the next native user event. Never claim "sent" from a preview or pending-proof record.

Finish honestly

Recheck source changes since each reader's cutoff before claiming complete. Account for queued, shown, approved, sent, skipped, unresolved and unknown items. Inbox zero is always the goal: all configured sources have completed dispositions, no unhandled obligations, and authorized resolved items are verified archived. Unknown coverage, pending proof or archive failure means NOT zero, regardless of unread count. A real approval wait is not completion; preserve the queue for the next user event. Status heartbeats follow the host's cadence, contain actual results, and stop at a final result or real wait.

References (load only the relevant one)

  • references/details.md — per-candidate context, preflight, approval and verification
  • references/runtime.md — ownership, account discovery, freshness and source gaps
  • references/fan-out.md — progressive read-only workers and evidence packet
  • references/cli.md — supported read paths and authorized archive verification
  • vip, relations — priority, verified contact identity and open commitments

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ops Inbox AI skill do?

OPS on-demand: This skill should be used when the user asks to "check inbox", "inbox zero"…

Why use Ops Inbox on TypingMind?

Because you install it once and use it with any model. Ops Inbox is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ops Inbox in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Lifecycle-Innovations-Limited/claude-ops/tree/main/claude-ops/skills/ops-inbox. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ops Inbox?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ops Inbox?

As many as you like. As long as a model supports skills, you can use Ops Inbox with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ops Inbox AI skill free?

Yes. It is published on GitHub by Lifecycle-Innovations-Limited under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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