Software Dev Operations

Linear Issue Creator

Turns Slack or chat requests into well-structured Linear issues. It resolves the target team, priority, labels, and assignee, checks for duplicate open issues before creating anything, applies bug or product issue templates, attaches the originating Slack thread when available, logs every created issue, and can notify the Slack thread when the issue reaches QA or Done.

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Agent snapshot

Built for software dev work, not a generic template.

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Software Dev Operations

Sample input

Build an agent to linear Issue Creator. Use Linear and Slack. Focus on operations. Return a ready-to-review result after each run.

Sample output

Creates templated Linear issues from Slack or chat requests, checks for duplicates first, attaches the source Slack thread, and can reply when the issue reaches QA or Done.

Workflow brief

Where Linear Issue Creator fits in a software dev automation system

Linear Issue Creator is designed for a specific recurring job: turns Slack or chat requests into well-structured Linear issues. It resolves the target team, priority, labels, and assignee, checks for duplicate open issues before creating anything, applies bug or product issue templates, attaches the originating Slack thread when available, logs every created issue, and can notify the Slack thread when the issue reaches QA or Done. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.

A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.

In this setup Twin uses Linear and Slack as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.

What this agent automates

This run includes 8 concrete steps from the published agent data.

Signal 1 · 1

Parse each Slack or chat request into a concise Linear title, templated description, team, priority, labels, and assignee

Signal 2 · 2

Resolve Linear teams, labels, states, and users from cached agent database tables, refreshing from Linear when needed

Signal 3 · 3

Search Linear for similar open issues before creating a duplicate

Signal 4 · 4

Apply the saved Bug or Product message template before calling Linear

Signal 5 · 5

Create the issue through Linear GraphQL and attach the originating Slack thread when available

Signal 6 · 6

Store created issue metadata and Slack thread coordinates in the agent database

Integrations used

Linear Issue Creator connects Linear and Slack.

Linear

Connected in this agent

Slack

Connected in this agent

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Start from the exact agent behind this page, then adapt the prompt, apps, and review steps to your software dev workflow.

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Plans start at €20/mo

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