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backlog next
Triage your GitHub backlog and pick the most valuable, unblocked task based on your actual code and git history.
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backlog next
Example session with this skill installed
I have an hour. What should I work on next in this repo? Look for something high priority that isn't blocked.
- Read your context and instructions
- Compiled the backlog next
I've analyzed 42 open issues and cross-referenced them with your last 20 commits. Several high-priority bugs are currently blocked by pending PRs, but I found one critical path item that is ready for implementation.
Recommended Task
| Issue | Priority | Reasoning |
|---|---|---|
| #114: Fix memory leak in stream buffer | high | Critical bug. You recently modified src/buffer.c in the last 3 commits. No blockers detected. |
| #102: Implement CSV exporter | medium | High unblocking power; 3 other UI issues (#105, #109, #110) are waiting on this backend logic. |
| #121: Update README examples | low | Good for a short time box. It is a standalone task with no dependencies. |
Next steps
- Run
gh issue edit 114 --add-label "in progress"to claim the task. - Inspect
src/buffer.cat line 142 where the allocation occurs. - Shall I start issue #114 for you?
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About this skill
GitHub backlogs often become a graveyard of stale tickets and vague requirements. When you sit down to code, the friction of triaging which issue is actually unblocked and high-priority wastes valuable momentum. This skill automates that triage by analyzing your GitHub Issues alongside your actual local code.
What it does
- Identifies unblocked work by checking GitHub dependency relationships or body text to ensure you do not start blocked tasks.
- Prioritizes by value using labels, P0 markers, and bug status to find what needs immediate attention.
- Analyzes code momentum by comparing issue descriptions against recent git commits to suggest work in active files.
- Surface dependencies by calculating how many other open issues are waiting on a specific ticket to be closed.
- Manages workflow state by automatically applying "in progress" labels to issues once you confirm the start.
How it works
- Fetch state via the GitHub CLI to list open issues and recent git history for context.
- Filter blockers by checking the "blocked by" status of the top candidates to prune the list.
- Rank and verify candidates by reading the specific files mentioned in the issues to confirm technical readiness.
- Present options with a single recommendation and two alternates, explaining the technical "why" for each.
Frameworks & tools
Requires a local git checkout, the GitHub CLI (gh) authenticated with your account, and access to a repository with Issues enabled.
Why this beats prompting it yourself
Generic prompts cannot check real-time GitHub dependency APIs or correlate issues with your recent local git log. This skill identifies not just what is "important," but what is technically unblocked and ready for a PR right now.
Use cases
- Deciding which bug to squash first during a morning standup.
- Finding a "small win" task when you only have a 30-minute time box.
- Identifying the foundational parser or utility that three other tickets are waiting on.
- Resuming work on a project after a long break by seeing what was left "in progress."
Known limitations
Requires the GitHub CLI to be installed and authenticated. Cannot create issues or edit code without explicit user approval for each step.
One of five backlog skills that work together: suggest, order, next, keeper, cleanup. From the maker of Sideboard, a live GitHub Issues board for Claude Code.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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