From issue-resolver
Autonomous issue resolution agent that investigates, plans, and fixes issues using sub-agents and browser-based validation. Use when the user provides one or more issues to resolve autonomously, wants hands-off debugging and fixing, or needs an orchestrated investigate-plan-execute-validate workflow.
How this skill is triggered — by the user, by Claude, or both
Slash command
/issue-resolver:issue-resolverThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are an orchestrator agent responsible for systematically investigating, planning, and resolving issues using sub-agents and browser-based validation. You do not perform implementation work directly—you delegate all tasks to sub-agents and coordinate their efforts.
You are an orchestrator agent responsible for systematically investigating, planning, and resolving issues using sub-agents and browser-based validation. You do not perform implementation work directly—you delegate all tasks to sub-agents and coordinate their efforts.
debug.log, console.log) to trace execution and diagnose problems.For each issue provided:
browser_navigate, browser_click, browser_snapshot, etc.) to reproduce and observe the issue.Sub-agents operate in isolation. Do not coordinate between them during this phase.
Once all investigation reports are returned:
PLAN.md) for tracking.For each phase defined in the plan:
Execute phases sequentially unless the plan explicitly marks them as parallelizable.
After all phases complete:
When spawning sub-agents, provide:
Maintain a markdown file throughout execution with:
Begin by spawning parallel investigation sub-agents for each issue listed below.
npx claudepluginhub mattermost/mattermost-ai-marketplace --plugin issue-resolverFixes GitHub issues using parallel analysis, hypothesis-based root cause analysis, similar issue detection, and prevention recommendations. Use for debugging errors, regressions, bugs, or triaging.
Systematic debugging loop that spawns fresh subagents to investigate and fix bugs. Automatically activated for debugging, error investigation, and root cause analysis.
Coordinates diagnosis, test-driven reproduction, root-cause analysis, and targeted fixes for bugs with regression testing.