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Slack

Organization
vanillagreencom
slack

Load to bind an overseer's mailbox to a private Slack channel, run or check the relay, or post an alert or a file to Slack.

Overview

Publishervanillagreencom
Repositorykendex
Skill nameslack
Stars
91
Forks
37
Bundled files
17
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.

  • 17 bundled files

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

  • Open source

    Published by vanillagreencom on GitHub. Read the source before you install it.

Installation

Install the Slack 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/vanillagreencom/kendex/tree/main/.agents/skills/slack
  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/vanillagreencom/kendex.git /tmp/kendex
mkdir -p .claude/skills
cp -r /tmp/kendex/.agents/skills/slack .claude/skills/slack
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Slack 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 Slack 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 Slack 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.

Project Instructions

Problems with a kendex-owned skill go through kendex report; check ownership in the file first.

Slack

The relay between one checkout's overseer mailbox and one private Slack channel. Mailbox reads use the mailbox package installed beside Slack inside the relay process. Writes use the bound checkout's lane-mail. The relay keeps its own record under tmp/slack/.

bash
.agents/skills/slack/scripts/slack setup [--root ROOT] [--name NAME | --take CHANNEL_ID]
.agents/skills/slack/scripts/slack listen --root ROOT [--root ROOT]... [--once]
.agents/skills/slack/scripts/slack listen --status --root ROOT [--root ROOT]...
.agents/skills/slack/scripts/slack post [--root ROOT] [--channel ID] --text TEXT [--mention] [--file PATH] [--thread TS] [--update TS]
.agents/skills/slack/scripts/slack read --channel ID (--ts TS | --latest N)
.agents/skills/slack/scripts/slack compact [--root ROOT]...
.agents/skills/slack/scripts/slack install --root ROOT [--root ROOT]... [--print]

What each verb does, every setting, and every keyed line: slack --help. Python 3.8 or newer, standard library only.

Rules

  • A root is a checkout with the orch skill installed. A relay serves every root it is given, and one relay serves one checkout, held by an OS lock.
  • One relay per Slack app. Slack sends each owner message to one of an app's open Socket Mode connections, so a second relay on the same app takes part of the first one's messages, and each waits for the first relay's next reconnect. Each machine runs its own app and one relay over every root on it.
  • The mailbox package owns mailbox reads, numbering and cursors. The relay reuses its store. An owner's words land through lane-mail send --delivery-id; who judges a repeat is DEVELOPMENT.md § Constraints.
  • A delivery prints delivered with its Slack ts, mailbox id and path=live|catch-up. Eyes failures print a keyed cause and retry on the next poll; already_reacted settles the mark.
  • Owner answers, question closure and ruling notices follow orch communication-modes.md § Owner asks.
  • Every outbound text and file passes the secret-value pattern the orch skill ships at references/secret-value.ere. A match is refused, journaled and never sent.
  • Webhooks cannot work through a proxy that swaps headers only. Every message post uses chat.postMessage.
  • A package update reaches a running relay by itself: each poll fingerprints its code and the installed sibling mailbox reader definitions, and a change that holds for two polls re-executes the relay in the same process, which reads its settings again. The reload replaces the reader and its cached results. The reload waits while the relay reconnects or holds a refused live delivery. listen --status shows the running code as code=.
  • A relay reads its settings at start. After changing SLACK_OWNERS, run slack setup for each bound root: it invites an added owner to the channel and restarts the unit install wrote. A plain restart drops a removed owner but never invites an added one. After changing either token, restart the relay.
  • A threaded directive's parent carries every owner and app thread message its reader generation has not received: schemas/journal.md § Parent pointers. Follow orch § Thread delivery when reading it.
  • The channel binding is installation state written by setup, never a setting. The alert channel is the caller's --channel argument.
  • read --channel needs no binding or owner settings. It uses the same token route as post --channel. --ts reads a message and its replies; --latest N reads the newest positive N top-level messages. Both print oldest first. Each line is slack: ts=TS edited=TS|- bot=ID text=TEXT, with user=ID instead of bot=ID for a user message. An absent author is user=-. text= is the last field; it preserves Slack markup and escapes backslash, newline and carriage return as \\, \n and \r. An empty channel prints nothing and exits 0. API refusals use the existing keyed stderr format and exit 2.
  • Settings live in the project's kendex.settings.toml and the two tokens, SLACK_BOT_TOKEN and SLACK_APP_TOKEN, in its private env file: kendex.settings.toml.example.

Message standard

  • markup.py owns outbound tracker links and their representation. The sibling Linear skill's teams keys action reads workspace keys in each root and selects Linear ids. Linear keys and the workspace URL key are cached per root for a day. A missing or failed read leaves Linear ids unlinked with one tracker-links-unavailable notice per root and process.
  • Pull requests use OWNER/REPO#N, or REPO#N and #N in the sending repository. Commit hashes link only when Git finds one commit in that repository. An unresolved reference stays unchanged with one reference-link-unavailable stderr line per distinct reference in an outbound message.
  • The relay and slack post keep secret-pattern matches unexpanded for refusal. Other bare tracker ids link before the final secret check and Markdown cap. Existing links, Slack angle tokens, bare URLs, inline code and fenced code stay literal. Never put a tracker id in a code span.
  • slack post text without --file, and the relay's ask, notice and answer posts, go out as standard Markdown, which Slack renders: **bold**, lists, headings, links and code blocks.
  • Slack takes at most 12,000 characters of standard Markdown. slack post refuses a final linked body past that cap as text-too-long; send the long part as a file. The relay also refuses oversized new and overdue questions after expansion and secret checks, before sending. Shorten the question or link its detail in a file, issue or report. Reports and answers keep ordered Markdown continuations in the same thread, with visible part numbers.
  • After confirmed tracker posting, an ask carries its draft on the item. Other asks post their draft, the text the owner approves, in literal code blocks, never linked. The complete question, including its draft, options and deadline, must fit the cap.
  • A file's comment, the text beside --file or a notice's --attach, renders as Slack's own mrkdwn markup, not standard Markdown. It is outside the 12,000-character cap, and Slack's own message limits still bound it. How to write it: communication § References and markup.
  • The words and markup of every post follow communication.

Doctor row

slack listen --status prints one slack: slack-relay=ROOT state=ok|failing|stale|never line per root, with connection=connected|reconnecting|disconnected|unknown and connection_since=, unknown since last_poll for a record an older relay wrote without the connection fields; a never line carries only fix=. A state other than ok carries fix=. A relay reconnecting past the bound the status record states reads failing. The fields of the row: schemas/journal.md § The status record.

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 Slack AI skill do?

Load to bind an overseer's mailbox to a private Slack channel, run or check the relay, or post an alert or a file to Slack.

Why use Slack on TypingMind?

Because you install it once and use it with any model. Slack 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 Slack in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vanillagreencom/kendex/tree/main/.agents/skills/slack. 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 Slack?

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 Slack?

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

Is the Slack AI skill free?

Yes. It is published on GitHub by vanillagreencom 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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