sweep-issues — autonomous development lifecycle sweep-issues, community, autonomous development lifecycle, ide skills, issue triage tools, sweep-issues install, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Development Agents needing autonomous issue triage and refinement prioritization. sweep-issues is a skill that automates the development lifecycle by evaluating open issues against a gold-standard quality checklist and surfacing those that need work.

Features

Evaluates open issues against a gold-standard quality checklist
Surfaces issues that need work for team prioritization
Supports label filters as arguments, such as `/sweep-issues feature`
Allows phase-based filtering, e.g., `/sweep-issues phase:2`
Automates the development lifecycle for streamlined workflows

# Core Topics

rnwolfe rnwolfe
[0]
[0]
Updated: 3/1/2026

Agent Capability Analysis

The sweep-issues skill by rnwolfe is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for autonomous development lifecycle, issue triage tools, sweep-issues install.

Ideal Agent Persona

Perfect for Development Agents needing autonomous issue triage and refinement prioritization.

Core Value

Empowers agents to evaluate open issues against a gold-standard quality checklist, surface those needing refinement, and prioritize them using label filters and phase-based sorting, leveraging protocols like issue labeling and filtering.

Capabilities Granted for sweep-issues

Automating issue triage for streamlined development workflows
Prioritizing issue refinement based on label filters
Debugging issue backlogs using phase-based analysis

! Prerequisites & Limits

  • Requires access to issue tracking system
  • Limited to issue refinement prioritization
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

sweep-issues

Install sweep-issues, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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Sweep Issues — Backlog Quality Audit

You are a disciplined issue triager. Your job is to evaluate open issues against the gold-standard quality checklist and surface those that need work, so the team can prioritize refinement.

Input

The user may provide a label filter as an argument: $ARGUMENTS

Examples:

  • /sweep-issues — sweep all open issues
  • /sweep-issues feature — only sweep issues labeled feature
  • /sweep-issues phase:2 — only sweep issues in phase 2

Process

1. Read Project Configuration

Read forge.toml for the repo path used in gh commands.

2. Read the Quality Bar

Read the gold-standard template and checklist:

.claude/skills/shared/issue-quality-checklist.md

The 10-item checklist is your scoring rubric:

  1. Summary
  2. Scope (features/commands)
  3. Architecture
  4. Integration
  5. Acceptance criteria
  6. Edge cases
  7. Tests
  8. Documentation
  9. CLAUDE.md update
  10. Labels

3. Fetch Open Issues

Fetch the issue list:

bash
1gh issue list --repo $REPO --state open --limit 100 --json number,title,labels,body

If the user provided a label filter, add --label "<filter>" to narrow the set.

After fetching, manually filter out issues that already have backlog/needs-refinement or backlog/ready labels — these are already in the pipeline.

4. Assess Each Issue

For each remaining issue, score it against the 10-item checklist. Rate each item as:

  • Present: The section exists and meets the bar
  • Weak: The section exists but needs improvement
  • Missing: The section is absent entirely

Adapt the checklist to the issue type:

  • Bug reports: skip Features table, Architecture can be lighter
  • Small enhancements: skip Architecture if the scope is a single function change
  • Feature requests: all 10 items apply

Count a score as: Present = 1, Weak = 0.5, Missing = 0. Total out of 10 (or the applicable subset for the issue type).

Assign a verdict:

  • Ready (8+/10): Already meets the bar — suggest backlog/ready label
  • Needs refinement (4-7.5/10): Has gaps worth filling
  • Stub (<4/10): Needs significant work

5. Present Summary Table

Show the user a table like:

Backlog sweep — 12 issues evaluated

  #   Title                              Score  Verdict
  35  Feature X                          9/10   Ready
  42  Enhancement Y                      5/10   Needs refinement
  48  Better error messages              3/10   Stub
  51  New API endpoint                   6/10   Needs refinement
  ...

Summary: 2 ready, 6 need refinement, 4 stubs

For issues verdicted as "Needs refinement" or "Stub", list the top 2-3 missing/weak items so the user knows what gaps to fill.

6. Apply Labels (With Approval)

Ask the user which actions to take:

  • Apply backlog/needs-refinement label to issues verdicted as "Needs refinement" or "Stub"
  • Optionally post a comment on each labeled issue listing the specific gaps found
  • Suggest backlog/ready for issues that already meet the bar

Always ask for explicit approval before modifying any issues.

After approval, apply labels:

bash
1gh issue edit $ISSUE_NUMBER --repo $REPO --add-label "backlog/needs-refinement"

If the user opted for gap comments:

bash
1gh issue comment $ISSUE_NUMBER --repo $REPO --body "<gap listing>"

7. Report Results

Print a results summary:

Sweep complete:
  - 2 issues already meet the bar (suggested backlog/ready)
  - 6 issues labeled backlog/needs-refinement
  - 4 stubs labeled backlog/needs-refinement

Next step: run /refine-issue to start improving the highest-priority issues.

Guidelines

  • Non-destructive. Only add labels and comments. Never remove labels, edit issue bodies, or close issues. The sweep is read-heavy, write-light.
  • Adapt the checklist. A bug report with clear repro steps and expected behavior might score 8/10 even without a Features table. Don't penalize issues for skipping sections that don't apply to their type.
  • Be efficient. For large backlogs, summarize rather than showing per-item breakdowns for every issue. Only show detailed gaps for issues the user is likely to act on.
  • Suggest backlog/ready generously. If an issue is close to the bar and the gaps are minor (e.g., missing CLAUDE.md update note), say so — the user may want to quickly patch it rather than going through full refinement.
  • Batch sensibly. If there are 50+ issues, process them in batches and let the user decide whether to continue.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is sweep-issues?

Perfect for Development Agents needing autonomous issue triage and refinement prioritization. sweep-issues is a skill that automates the development lifecycle by evaluating open issues against a gold-standard quality checklist and surfacing those that need work.

How do I install sweep-issues?

Run the command: npx killer-skills add rnwolfe/forge/sweep-issues. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for sweep-issues?

Key use cases include: Automating issue triage for streamlined development workflows, Prioritizing issue refinement based on label filters, Debugging issue backlogs using phase-based analysis.

Which IDEs are compatible with sweep-issues?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for sweep-issues?

Requires access to issue tracking system. Limited to issue refinement prioritization.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add rnwolfe/forge/sweep-issues. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use sweep-issues immediately in the current project.

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