/speckit.taskstoissues
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
> /plugin marketplace add SpillwaveSolutions/agent-brain > /plugin install agent-brain@agent-brain-marketplace
How it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/speckit.taskstoissues
Context preview
What this command does when you run it.
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.
Command definition
speckit.taskstoissues.mddescription: Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts. tools: ['github/github-mcp-server/issue_write']
> **Spec directory**: All SDD artifacts live under `.speckit/` (features, templates, scripts, memory).
User Input
$ARGUMENTS
You **MUST** consider the user input before proceeding (if not empty).
Outline
1. Run `.speckit/scripts/bash/check-prerequisites.sh --json --require-tasks --include-tasks` from repo root and parse FEATURE_DIR and AVAILABLE_DOCS list. All paths must be absolute. For single quotes in args like "I'm Groot", use escape syntax: e.g 'I'\''m Groot' (or double-quote if possible: "I'm Groot"). 1. From the executed script, extract the path to **tasks**. 1. Get the Git remote by running:
git config --get remote.origin.url
> [!CAUTION] > ONLY PROCEED TO NEXT STEPS IF THE REMOTE IS A GITHUB URL
1. For each task in the list, use the GitHub MCP server to create a new issue in the repository that is representative of the Git remote.
> [!CAUTION] > UNDER NO CIRCUMSTANCES EVER CREATE ISSUES IN REPOSITORIES THAT DO NOT MATCH THE REMOTE URL
A RAG-based (Retrieval-Augmented Generation) document indexing and semantic search system for AI agents and applications. Agent Brain enables intelligent querying of documentation and source code using natural language.
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