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Use this skill to plan a new sprint. It uses the Gemini CLI to intelligently decompose approved specs into atomic GitHub issues for the development team. Triggers include "plan sprint", "create sprint", or "start new sprint".
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Based on SOC occupation classification
Use this skill to create or update the root AGENTS.md file to register AgenticDev skills for AI agent discovery. Triggers include "register AgenticDev", "update AGENTS.md", "setup agent guide", or initializing a new project.
Use this skill at the beginning of any session or when needing to understand available project documentation. Provides just-in-time context by scanning YAML frontmatter from all markdown files in the docs/ directory without loading full content.
Use this skill to validate that Markdown files are in standard locations. Scans for .md files outside of predefined allowed directories and outputs warnings to prevent documentation sprawl. Triggers include "validate docs", "check markdown locations", or as part of quality checks.
Use this skill for early-stage project planning. It leverages the Gemini CLI to generate high-quality first drafts of Product Briefs, Research Documents, and full PRDs, guiding users from idea to validated requirements. Triggers include "create PRD", "product brief", or "validate requirements".
Use this skill when starting a new project or adding AgenticDev to an existing project. Scaffolds the directory structure (docs/specs, docs/changes) and configuration files needed for the spec-driven development workflow.
Use this skill to migrate existing projects to the AgenticDev structure. It uses an AI-powered analysis to intelligently discover, categorize, and migrate documentation, generate rich frontmatter, and preserve git history.
| name | sprint-planner |
| description | Use this skill to plan a new sprint. It uses the Gemini CLI to intelligently decompose approved specs into atomic GitHub issues for the development team. Triggers include "plan sprint", "create sprint", or "start new sprint". |
To plan and initialize a new sprint by intelligently decomposing approved specifications into a comprehensive set of atomic GitHub issues. This skill bridges the gap between high-level specs and executable work items by using the Gemini CLI to analyze the spec's content and generate a thoughtful task breakdown. It then automates the creation of these tasks as GitHub issues within a new sprint milestone.
Use this skill in the following situations:
docs/specs/ directory.gh CLI tool installed and authenticated.jq tool installed for JSON parsing.gemini CLI tool installed and authenticated.Check the project board for approved specs (represented as Epics) ready to be planned.
Engage the user to determine which epic(s) from the "Approved Backlog" to include in the sprint.
Work with the user to establish the sprint name (e.g., "Sprint 4").
Execute the sprint planning script to automate GitHub issue creation:
bash scripts/create-sprint-issues.sh
The helper script automates these steps:
After the script completes, review the newly created issues in your milestone.
gh issue list --milestone "Your Sprint Name"
Walk through the AI-generated issues with your team. The generated tasks provide a strong baseline, but you should review them to confirm completeness, adjust priorities, and make any necessary refinements.
Symptom: Script reports that jq or gemini command is not found.
Solution: Install the required tool and ensure it's in your system's PATH.
Symptom: Script reports no epics in the approved backlog. Solution: Ensure your Epics are in the correct status column on your project board.
Symptom: Script cannot find a spec file path in the Epic's body.
Solution: Edit the Epic's issue body on GitHub to include a valid path to a spec file (e.g., docs/specs/my-feature.md).
Symptom: The script fails during the task decomposition step with an error from the gemini command.
Solution:
gemini CLI is installed and authenticated (gemini auth).