GitHub Release Notes Generation and Slack Announcement

When a new GitHub release is created, automatically compile a structured changelog from recent commits, generate formatted release notes, and post the announcement to the relevant Slack channels so all stakeholders are informed immediately.

How the workflow runs

The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.

  1. 1

    Retrieve commits since the last release

    List commits on the main branch since the previous release tag to gather the raw material for changelog generation.

    • github:list_commits
  2. 2

    Generate structured release notes and create the release

    Compile commits into categorized release notes covering features, fixes, and breaking changes, then create the GitHub release with the generated notes.

    • github:create_release
    • github:get_repository
  3. 3

    Post release announcement to Slack channels

    Send a formatted announcement to engineering, product, and customer-facing channels with the release version, key changes, and link to the full release notes.

    • slack:send_message
  4. 4

    Pin the announcement in the product updates channel

    Pin the release message in the product updates channel so the latest version information is always visible to channel members.

    • slack:manage_pins

Integrations used in this scenario

github

List Commits

Retrieve commits since the previous release to compile the changelog.

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github

Create Release

Create the release with generated notes attached.

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github

Get Repository

Retrieve repository metadata for the announcement context.

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slack

Send Message

Post the release announcement to engineering and product channels.

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slack

Manage Pins

Pin the release announcement in the product updates channel.

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Connected systems

Integration

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

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Integration

Slack

Slack: connect with bot OAuth or user OAuth. Send, update, delete, and schedule messages; list and cancel scheduled messages; open DMs and group DMs; manage conversations, members, files, reactions, pins, bookmarks, reminders, user groups, and user status; search messages and files with user scopes; and retrieve user, conversation, and workspace info.

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Expected outcomes

Outcome 1

Release notes are generated and published without manual changelog writing

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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Outcome 2

All stakeholders are notified in Slack the moment a release is created

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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Outcome 3

The product updates channel always has the latest release pinned for quick reference

Metorial keeps the workflow connected, governed, and traceable across the systems involved.

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How Metorial powers this scenario

Metorial is the governed connection layer between your AI agents and the tools your company runs on. It turns workflows like github release notes generation and slack announcement into something you can deploy quickly, safely, and at scale.

Fast

Ready for your entire team

Connect 1000+ verified integrations through one Magic MCP URL instead of building and maintaining bespoke connectors for each system in this workflow.

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Secure

Guardrails on every action

Protoguard inspects every message and tool call for prompt injection and policy violations before an agent touches your systems.

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Enterprise

SSO, policies, and audit trails

Agents act on real identity under company SSO, with per-user and per-group access policies and a complete, searchable record of everything that happens.

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Team ready

Reusable across your org

Package this workflow as a skill, attach the tools it needs, and let teammates run it through Portals — governed by admins, owned by the people who do the work.

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Products behind this workflow

The Metorial products that connect, govern, and observe this scenario.

Connectivity

Integrations

Start from 1000+ verified integrations or bring your own, and give every one a governed path to your agents under existing SSO and access policies.

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Connectivity

Magic MCP

A single URL your AI client connects to. Sign in with the login you already use and your agent reaches every integration and tool you allow — no per-app setup.

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Identity

Access Control

Sign in with company SSO, set policies per user and group, and let agents act on real identity across every connected system in this workflow.

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Governance

Protoguard

Metorial’s security layer reviews every message and tool request before an agent acts — catching prompt injection and blocking anything outside your policies.

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Observability

Tracing

A complete, searchable record of everything your agents, team, and machines do across these integrations, so you can trust the workflow in production.

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Governance

Portals

Let teammates connect agents to the integrations and skills your company already uses, with admins deciding who gets access to what.

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Built for your whole team

However you adopt AI, Metorial has a path for connecting it safely.

Solution

For Agents

Give the agents behind this scenario governed access to every tool and integration they need, with one connection layer instead of bespoke glue code.

Agents solution

Solution

For Enterprise

SSO, granular access control, security review, and full audit trails so this workflow meets enterprise governance and compliance requirements.

Enterprise solution

Solution

For your Workforce

Let the people who do this work connect their own AI agents to approved integrations and reusable skills — safely, without waiting on engineering.

Workforce solution

Build this workflow with your own tools

Metorial gives teams one governed layer for connecting integrations to real production work.