Fixes GitHub issues with parallel analysis. Use to debug errors, resolve regressions, fix bugs, or triage issues.
Fixes GitHub issues using parallel root cause analysis to implement and prevent bugs.
/plugin marketplace add yonatangross/orchestkit/plugin install orkl@orchestkitThis skill is limited to using the following tools:
assets/commit-template.mdassets/rca-report-template.mdassets/runbook-entry-template.mdchecklists/fix-complete-checklist.mdreferences/agent-selection.mdreferences/agent-teams-rca.mdreferences/cc-enhancements.mdreferences/fix-phases.mdreferences/hypothesis-rca.mdreferences/prevention-patterns.mdreferences/similar-issue-search.mdrules/_sections.mdrules/_template.mdrules/evidence-gathering.mdrules/rca-fault-tree.mdrules/rca-fishbone.mdrules/rca-five-whys.mdscripts/similar-issue-finder.shtest-cases.jsonSystematic issue resolution with hypothesis-based root cause analysis, similar issue detection, and prevention recommendations.
/ork:fix-issue 123
/ork:fix-issue 456
Opus 4.6: Root cause analysis uses native adaptive thinking. Dynamic token budgets scale with context window for thorough investigation.
BEFORE creating tasks, clarify fix approach using AskUserQuestion. See rules/evidence-gathering.md for the full prompt template and workflow adjustments per approach (Proper fix, Quick fix, Investigate first, Hotfix).
Choose Agent Teams (mesh) or Task tool (star). See references/agent-selection.md for the selection criteria, cost comparison, and task creation patterns.
| Phase | Activities | Output |
|---|---|---|
| 1. Understand Issue | Read GitHub issue details | Problem statement |
| 2. Similar Issue Detection | Search for related past issues | Related issues list |
| 3. Hypothesis Formation | Form hypotheses with confidence scores | Ranked hypotheses |
| 4. Root Cause Analysis | 5 parallel agents investigate | Confirmed root cause |
| 5. Fix Design | Design approach based on RCA | Fix specification |
| 6. Implementation | Apply fix with tests | Working code |
| 7. Validation | Verify fix resolves issue | Evidence |
| 8. Prevention | How to prevent recurrence | Prevention plan |
| 9. Runbook | Create/update runbook entry | Runbook |
| 10. Lessons Learned | Capture knowledge | Persisted learnings |
| 11. Commit and PR | Create PR with fix | Merged PR |
Full phase details: See references/fix-phases.md for bash commands, templates, and procedures for each phase.
See references/cc-enhancements.md for session resume, task metrics, tool guidance, worktree isolation, and adaptive thinking.
| Rule | Impact | What It Covers |
|---|---|---|
| evidence-gathering | HIGH | User intent verification, confidence scale, key decisions |
| rca-five-whys | HIGH | 5 Whys iterative causal analysis |
| rca-fishbone | MEDIUM | Ishikawa diagram, multi-factor analysis |
| rca-fault-tree | MEDIUM | Fault tree analysis, AND/OR gates, critical systems |
ork:commit - Commit issue fixesdebug-investigator - Debug complex issuesork:issue-progress-tracking - Auto-updates from commitsork:remember - Store lessons learnedVersion: 2.1.0 (February 2026)
Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.