Generate Sprint Retrospective Reports from Linear and Post to Slack

At the end of each sprint cycle, the agent pulls completed and incomplete issues from Linear, summarizes velocity and blockers, and posts a structured retrospective report to the team's Slack channel.

How the workflow runs

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

  1. 1

    Identify the completed sprint cycle

    List recent Linear cycles for the team and identify the one that just ended, capturing its dates and scope.

    • linear:list_cycles
  2. 2

    Analyze sprint issues

    Search for all issues in the cycle, then fetch details on incomplete or blocked items to understand what carried over and why.

    • linear:search_issues
    • linear:get_issue
  3. 3

    Post retrospective to Slack

    Send a structured sprint summary to the team Slack channel covering velocity, completed work, carried-over items, and suggested focus areas for the next cycle. Upload the full report as a file.

    • slack:send_message
    • slack:manage_files

Integrations used in this scenario

linear

List Cycles

Identify the recently completed sprint cycle.

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linear

Search Issues

Retrieve all issues assigned to the completed cycle.

View details

linear

Get Issue

Fetch full details on blocked or incomplete issues for context.

View details

slack

Send Message

Post the formatted retrospective report to the team channel.

View details

slack

Manage Files

Upload the full retrospective as a file snippet for archiving.

View details

Connected systems

Integration

Linear

Create, read, update, and delete issues across teams with support for priorities, labels, assignees, due dates, and workflow states. Manage projects that group related issues, and organize work into time-boxed cycles (sprints). Create and manage documents, comments, and file attachments. Search issues using vector similarity or rich filters. Configure teams, workflow states, and labels. Track customers and link them to issues. Subscribe to real-time webhooks for changes to issues, projects, cycles, comments, documents, and more.

View Linear

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.

View Slack

Expected outcomes

Outcome 1

Retrospective reports are produced automatically at cycle end

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

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Outcome 2

Teams get consistent velocity data without manual compilation

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

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Outcome 3

Carried-over issues are surfaced with context before the next sprint kicks off

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 generate sprint retrospective reports from linear and post to slack 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.