Agent Slack logo

Agent Slack

Organization
letta-ai
agent-slack

Slack automation CLI — read/send/search messages, browse threads and channels, manage channels, download attachments, look up users, and run workflows.

Overview

Publisherletta-ai
Repositoryskills
Skill nameagent-slack
Stars
144
Forks
25
Bundled files
5
Links
Skill sourceRepositoryHomepage
  • 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 letta-ai on GitHub. Read the source before you install it.

Installation

Install the Agent 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.
  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/letta-ai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/tools/slack .claude/skills/agent-slack
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent 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 Agent 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 Agent 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.

Slack automation with agent-slack

agent-slack is a CLI binary on $PATH. Invoke directly (e.g. agent-slack user list).

Setup

1. Install the CLI

If agent-slack is not found on $PATH, install it:

bash
curl -fsSL https://raw.githubusercontent.com/stablyai/agent-slack/main/install.sh | sh

Alternatives: npm i -g agent-slack (requires Node >= 22.5) or nix run github:stablyai/agent-slack.

2. Authenticate with Slack

If you have Slack Desktop installed and signed in, authentication is automatic — no setup needed. Run this to verify:

bash
agent-slack auth test

If that fails (or you don't have Slack Desktop), try importing credentials from your browser:

bash
# Try Chrome first, then Firefox
agent-slack auth import-chrome
agent-slack auth test
bash
agent-slack auth import-firefox
agent-slack auth test

If neither works, you can set tokens manually via environment variables:

bash
export SLACK_TOKEN="xoxc-..."      # browser token
export SLACK_COOKIE_D="xoxd-..."   # browser cookie
agent-slack auth test

3. Verify

Check which workspaces are configured:

bash
agent-slack auth whoami

If you have multiple workspaces, pass --workspace "myteam" to commands to disambiguate.

Canonical workflow (given a Slack message URL)

  1. Fetch a single message (plus thread summary, if any):
bash
agent-slack message get "https://workspace.slack.com/archives/C123/p1700000000000000"
  1. If you need the full thread:
bash
agent-slack message list "https://workspace.slack.com/archives/C123/p1700000000000000"

Browse recent channel messages

To see what's been posted recently in a channel (channel history):

bash
agent-slack message list "general" --limit 20
agent-slack message list "C0123ABC" --limit 10
agent-slack message list "general" --with-reaction eyes --oldest "1770165109.000000" --limit 20
agent-slack message list "general" --without-reaction dart --oldest "1770165109.000000" --limit 20

This returns the most recent messages in chronological order. Use --limit to control how many (default 25). When using --with-reaction or --without-reaction, you must also pass --oldest to bound scanning.

Attachments (snippets/images/files)

message get/list and search auto-download attachments to ~/.agent-slack/tmp/downloads/ and return metadata in message.files[] (including name and path). Failed downloads include a message.files[].error field.

Draft a message (browser editor)

Opens a Slack-like rich-text editor in the browser for composing messages with formatting toolbar (bold, italic, strikethrough, links, lists, quotes, code, code blocks). After sending, shows a "View in Slack" link.

bash
agent-slack message draft "general"
agent-slack message draft "general" "initial text"
agent-slack message draft "https://workspace.slack.com/archives/C123/p1700000000000000"

Send, edit, delete, or react

bash
agent-slack message send "https://workspace.slack.com/archives/C123/p1700000000000000" "I can take this."
agent-slack message send "alerts-staging" "here's the report" --attach ./report.md
agent-slack message edit "https://workspace.slack.com/archives/C123/p1700000000000000" "I can take this today."
agent-slack message delete "https://workspace.slack.com/archives/C123/p1700000000000000"

agent-slack message send "general" "Here's the plan:
- Step 1: do the thing
- Step 2: verify it worked
  - Sub-step: check logs"
agent-slack message react add "https://workspace.slack.com/archives/C123/p1700000000000000" "eyes"
agent-slack message react remove "https://workspace.slack.com/archives/C123/p1700000000000000" "eyes"

Channel mode for edit/delete requires --ts:

bash
agent-slack message edit "general" "Updated text" --workspace "myteam" --ts "1770165109.628379"
agent-slack message delete "general" --workspace "myteam" --ts "1770165109.628379"

Attach options for message send:

  • --attach <path> upload a local file (repeatable)

List channels + create/invite users

bash
agent-slack channel list
agent-slack channel list --user "@alice" --limit 50
agent-slack channel list --all --limit 100
agent-slack channel new --name "incident-war-room"
agent-slack channel new --name "incident-leads" --private
agent-slack channel invite --channel "incident-war-room" --users "U01AAAA,@alice,bob@example.com"
agent-slack channel invite --channel "incident-war-room" --users "partner@vendor.com" --external
agent-slack channel invite --channel "incident-war-room" --users "partner@vendor.com" --external --allow-external-user-invites

For --external, invite targets must be emails. By default, invitees are external-limited; add --allow-external-user-invites to allow them to invite other users.

Search (messages + files)

Prefer channel-scoped search for reliability:

bash
agent-slack search all "smoke tests failed" --channel "alerts" --after 2026-01-01 --before 2026-02-01
agent-slack search messages "stably test" --user "@alice" --channel general
agent-slack search files "testing" --content-type snippet --limit 10

Multi-workspace guardrail (important)

If you have multiple workspaces configured and you use a channel name (e.g. general), pass --workspace (or set SLACK_WORKSPACE_URL) to avoid ambiguity:

bash
agent-slack message get "general" --workspace "https://myteam.slack.com" --ts "1770165109.628379"
agent-slack message get "general" --workspace "myteam" --ts "1770165109.628379"

DM / group DM channels

Get the channel ID for a DM or group DM, useful for sending messages to a group of users:

bash
agent-slack user dm-open @alice @bob
agent-slack user dm-open U01AAAA U02BBBB U03CCCC

Mark as read

Mark a channel, DM, or group DM as read up to a given message:

bash
agent-slack channel mark "https://workspace.slack.com/archives/C123/p1700000000000000"
agent-slack channel mark "general" --workspace "myteam" --ts "1770165109.628379"
agent-slack channel mark "D0A04PB2QBW" --workspace "myteam" --ts "1770165109.628379"

To make a specific message appear unread, set --ts to just before it (subtract 0.000001). This moves the read cursor so that message and everything after it appear as new:

bash
agent-slack channel mark "general" --workspace "myteam" --ts "1770165109.628378"

Workflows

Discover and run Slack workflows bookmarked in channels:

bash
# List workflows in a channel
agent-slack workflow list "#ops"

# Preview trigger metadata (no side effects)
agent-slack workflow preview "Ft123ABC"

# Get workflow definition including form fields and steps
agent-slack workflow get "Ft123ABC"
agent-slack workflow get "Wf456DEF"

# Trip a workflow trigger
agent-slack workflow run "Ft123ABC" --channel "#ops"

Canvas + Users

bash
agent-slack canvas get "https://workspace.slack.com/docs/T123/F456"
agent-slack user list --workspace "https://workspace.slack.com" --limit 100
agent-slack user get "@alice" --workspace "https://workspace.slack.com"

References

  • references/commands.md: full command map + all flags
  • references/targets.md: URL vs #channel targeting rules
  • references/output.md: JSON output shapes + download paths

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 Agent Slack AI skill do?

Slack automation CLI — read/send/search messages, browse threads and channels, manage channels, download attachments, look up users, and run workflows.

Why use Agent Slack on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/letta-ai/skills/tree/main/tools/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 Agent 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 Agent Slack?

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

Is the Agent Slack AI skill free?

It is published on GitHub by letta-ai. Check the repository for licensing terms. 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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