Skill

fix-issue

Fixes GitHub issues with parallel analysis. Use when debugging errors, resolving regressions, fixing bugs, or triaging issues.

From ork
Install
1
Run in your terminal
$
npx claudepluginhub yonatangross/orchestkit --plugin ork
Tool Access

This skill is limited to using the following tools:

AskUserQuestionBashReadWriteEditTaskTaskCreateTaskUpdateTaskOutputTaskStopGrepGlobToolSearchCronCreateCronDeletemcp__memory__search_nodesmcp__context7__get_library_docs
Supporting Assets
View in Repository
assets/commit-template.md
assets/rca-report-template.md
assets/runbook-entry-template.md
checklists/fix-complete-checklist.md
references/agent-selection.md
references/agent-teams-rca.md
references/cc-enhancements.md
references/fix-phases.md
references/hypothesis-rca.md
references/prevention-patterns.md
references/similar-issue-search.md
rules/_sections.md
rules/_template.md
rules/evidence-gathering.md
rules/rca-fault-tree.md
rules/rca-fishbone.md
rules/rca-five-whys.md
scripts/similar-issue-finder.sh
test-cases.json
Skill Content

Fix Issue

Systematic issue resolution with hypothesis-based root cause analysis, similar issue detection, and prevention recommendations.

Quick Start

/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.

Argument Resolution

ISSUE_NUMBER = "$ARGUMENTS[0]"  # e.g., "123" (CC 2.1.59 indexed access)
# $ARGUMENTS contains the full argument string
# $ARGUMENTS[0] is the first space-separated token

STEP -1: MCP Probe + Resume Check

Run BEFORE any other step. Detect available MCP servers and check for resumable state.

# Probe MCPs (parallel — all in ONE message):
ToolSearch(query="select:mcp__memory__search_nodes")
ToolSearch(query="select:mcp__context7__resolve-library-id")

# Write capability map:
Write(".claude/chain/capabilities.json", JSON.stringify({
  "memory": <true if found>,
  "context7": <true if found>,
  "timestamp": now()
}))

# Check for resumable state:
Read(".claude/chain/state.json")
# If exists and skill == "fix-issue":
#   Read last handoff, skip to current_phase
#   Tell user: "Resuming from Phase {N}"
# If not exists: write initial state
Write(".claude/chain/state.json", JSON.stringify({
  "skill": "fix-issue",
  "issue": ISSUE_NUMBER,
  "current_phase": 1,
  "completed_phases": [],
  "capabilities": capabilities
}))

Load pattern details: Read("${CLAUDE_PLUGIN_ROOT}/skills/chain-patterns/references/mcp-detection.md")

STEP 0: Effort-Aware Fix Scaling (CC 2.1.76)

Scale investigation depth based on /effort level:

Effort LevelApproachAgentsPhases
lowQuick fix: read → fix → test → done0 agents1, 6, 7, 11
mediumStandard: investigate → fix → test → prevent2-3 agents1-4, 6-8, 11
high (default)Full RCA: 5 parallel agents → fix → prevent → lessons5 agentsAll 11 phases

Override: Explicit user selection (e.g., "Proper fix") overrides /effort downscaling. Hotfix always uses minimal phases regardless of effort.

STEP 0a: Verify User Intent

BEFORE creating tasks, clarify fix approach:

AskUserQuestion(
  questions=[{
    "question": "How do you want to approach this fix?",
    "header": "Fix Approach",
    "options": [
      {"label": "Proper fix (Recommended)", "description": "Full RCA, regression test, prevention plan", "markdown": "```\nProper Fix (11 phases)\n──────────────────────\n  Understand ──▶ Hypothesize ──▶ RCA\n       │              │           │\n       ▼              ▼           ▼\n  5 parallel     Ranked       Confirmed\n  agents         hypotheses   root cause\n       │\n       ▼\n  Fix ──▶ Validate ──▶ Prevent ──▶ PR\n  + regression test   + runbook\n```"},
      {"label": "Quick fix", "description": "Minimal investigation, fix and test", "markdown": "```\nQuick Fix (~10 min)\n───────────────────\n  Read issue ──▶ Fix ──▶ Test ──▶ PR\n\n  Skip: full RCA, prevention plan,\n  runbook, lessons learned\n  Keep: regression test (mandatory)\n```"},
      {"label": "Investigate first", "description": "Deep analysis before deciding on approach", "markdown": "```\nInvestigate First\n─────────────────\n  Read issue ──▶ 5 parallel agents ──▶ Report\n\n  Output: Root cause analysis\n  + hypothesis ranking\n  + recommended approach\n  No code changes yet\n```"},
      {"label": "Hotfix", "description": "Emergency fix, minimal process", "markdown": "```\nHotfix (emergency)\n──────────────────\n  Read issue ──▶ Fix ──▶ Push\n\n  Skip: agents, RCA, prevention\n  Keep: basic test verification\n  Post-fix: schedule proper RCA\n```"}
    ],
    "multiSelect": false
  }]
)

Based on answer, adjust workflow:

  • Proper fix: All 11 phases, 5 parallel RCA agents
  • Quick fix: Phases 1, 6, 7, 11 only — skip RCA agents and prevention
  • Investigate first: Enter plan mode for read-only analysis, then decide
  • Hotfix: Phases 1, 6, 11 only — emergency path

If 'Investigate first' selected:

# 1. Enter read-only plan mode
EnterPlanMode("Investigate issue: $ISSUE_REF")

# 2. Investigation phase — Read/Grep/Glob ONLY, no Write/Edit
#    - Read the issue description and linked context
#    - Trace the error path through relevant code
#    - Search for related issues, past fixes, test failures
#    - Build hypothesis list with evidence

# 3. Produce RCA report:
#    - Root cause hypothesis (ranked by confidence)
#    - Affected files and blast radius
#    - Recommended approach (proper fix vs quick fix)
#    - Risk assessment

# 4. Exit plan mode — returns analysis for user decision
ExitPlanMode()

# 5. User reviews RCA. If "proceed with fix" → continue to Phase 5 (Fix).
#    If "need more info" → re-enter investigation.

Load Read("${CLAUDE_SKILL_DIR}/rules/evidence-gathering.md") for detailed workflow adjustments per approach.

STEP 0b: Select Orchestration Mode

Choose Agent Teams (mesh) or Task tool (star). Load Read("${CLAUDE_SKILL_DIR}/references/agent-selection.md") for the selection criteria, cost comparison, and task creation patterns.

Service Discovery & Visual Inspection

When the issue involves a running web app, API, or UI bug, discover services and inspect visually before forming hypotheses:

# 1. Discover services via Portless (preferred)
portless list 2>/dev/null
# api → api.localhost:1355   (port 8080)
# app → app.localhost:1355   (port 3000)

# 2. Fallback: discover ports manually
lsof -iTCP -sTCP:LISTEN -nP | grep -E 'node|python|java'

# 3. Visual inspection with agent-browser
agent-browser open "http://app.localhost:1355"
agent-browser screenshot /tmp/issue-before.png     # capture broken state
agent-browser console                              # check for JS errors
agent-browser network log                          # inspect failed API calls
agent-browser get text @error-banner               # extract error messages

Use Portless named URLs (*.localhost:1355) in all investigation steps — they're stable, self-documenting, and eliminate port-guessing failures. Install with npm i -g portless.

Workflow Overview

PhaseActivitiesOutput
1. Understand IssueRead GitHub issue detailsProblem statement
1b. Service DiscoveryPortless list, agent-browser visual inspectionService URLs, screenshots
2. Similar Issue DetectionSearch for related past issuesRelated issues list
3. Hypothesis FormationForm hypotheses with confidence scoresRanked hypotheses
4. Root Cause Analysis5 parallel agents investigateConfirmed root cause
5. Fix DesignDesign approach based on RCAFix specification
6. ImplementationApply fix with testsWorking code
7. ValidationVerify fix resolves issue, screenshot after stateEvidence
8. PreventionHow to prevent recurrencePrevention plan
9. RunbookCreate/update runbook entryRunbook
10. Lessons LearnedCapture knowledgePersisted learnings
11. Commit and PRCreate PR with fixMerged PR

Progressive Output (CC 2.1.76)

Output results incrementally as each phase completes — don't batch until the PR:

After PhaseShow User
1. Understand IssueProblem statement, affected files
3. Hypothesis FormationRanked hypotheses with confidence scores
4. RCAConfirmed root cause, evidence chain
6. ImplementationFix description, files changed
7. ValidationTest results, before/after behavior

For the proper fix path with 5 parallel RCA agents, output each agent's findings as they return — don't wait for all 5. If one agent identifies the root cause with high confidence early, flag it immediately so the user can confirm and skip remaining agents.

Phase Handoffs (CC 2.1.71)

Write handoff JSON after phases 3, 4, 6, 7 to .claude/chain/. See chain-patterns skill for schema.

After PhaseHandoff FileKey Outputs
3. Hypothesis03-hypotheses.jsonRanked hypotheses with confidence scores
4. RCA04-rca.jsonConfirmed root cause, evidence, affected files
6. Implementation06-fix.jsonFix description, files changed, test plan
7. Validation07-validation.jsonTest results, coverage delta

Worktree-Isolated RCA Agents (CC 2.1.50)

Phase 4 agents SHOULD use isolation: "worktree" when they need to edit files:

Agent(subagent_type="debug-investigator",
  prompt="Investigate hypothesis: {desc}...",
  isolation="worktree", run_in_background=true)

Post-Fix Monitoring (CC 2.1.71)

After Phase 11 (commit + PR), schedule CI monitoring:

# Guard: Skip cron in headless/CI (CLAUDE_CODE_DISABLE_CRON)
# if env CLAUDE_CODE_DISABLE_CRON is set, run a single check instead
CronCreate(
  schedule="*/5 * * * *",
  prompt="Check CI for PR #{pr_number}: gh pr checks {pr_number} --repo {repo}.
    All pass → CronDelete this job. Any fail → alert with details."
)

Worktree Cleanup (CC 2.1.72)

If worktree isolation was used in Phase 4, clean up after validation:

# After Phase 7 validation passes — exit worktree, keep branch for PR
ExitWorktree(action="keep")

Every EnterWorktree or isolation: "worktree" agent must have a matching cleanup. If agents used isolation: "worktree", they handle their own exit — but if the lead entered a worktree in Step 0, it must call ExitWorktree before Phase 11 commit.

Fix Pattern Memory

If memory MCP is available (from Step -1 probe), save the fix pattern:

if capabilities.memory:
  mcp__memory__create_entities([{
    name: "fix-pattern-{slug}",
    entityType: "fix-pattern",
    observations: [root_cause, fix_description, regression_test, issue_ref]
  }])

Full phase details: Load Read("${CLAUDE_SKILL_DIR}/references/fix-phases.md") for bash commands, templates, and procedures for each phase.

Critical Constraints

  • Feature branch MANDATORY -- NEVER commit directly to main or dev
  • Regression test MANDATORY -- write failing test BEFORE implementing fix
  • Prevention required -- at least one of: automated test, validation rule, or process check
  • Make minimal, focused changes; DO NOT over-engineer

CC 2.1.49 Enhancements

Load Read("${CLAUDE_SKILL_DIR}/references/cc-enhancements.md") for session resume, task metrics, tool guidance, worktree isolation, and adaptive thinking.

Rules Quick Reference

RuleImpactWhat It Covers
evidence-gathering (load ${CLAUDE_SKILL_DIR}/rules/evidence-gathering.md)HIGHUser intent verification, confidence scale, key decisions
rca-five-whys (load ${CLAUDE_SKILL_DIR}/rules/rca-five-whys.md)HIGH5 Whys iterative causal analysis
rca-fishbone (load ${CLAUDE_SKILL_DIR}/rules/rca-fishbone.md)MEDIUMIshikawa diagram, multi-factor analysis
rca-fault-tree (load ${CLAUDE_SKILL_DIR}/rules/rca-fault-tree.md)MEDIUMFault tree analysis, AND/OR gates, critical systems

Related Skills

  • ork:commit - Commit issue fixes
  • debug-investigator - Debug complex issues
  • browser-tools - Visual inspection with agent-browser + Portless
  • ork:issue-progress-tracking - Auto-updates from commits
  • ork:remember - Store lessons learned

References

Load on demand with Read("${CLAUDE_SKILL_DIR}/references/<file>"):

FileContent
fix-phases.mdBash commands, templates, procedures per phase
agent-selection.mdOrchestration mode selection criteria and cost comparison
similar-issue-search.mdSimilar issue detection patterns
hypothesis-rca.mdHypothesis-based root cause analysis
agent-teams-rca.mdAgent Teams RCA workflow
prevention-patterns.mdRecurrence prevention patterns
cc-enhancements.mdCC 2.1.49 session resume, task metrics, adaptive thinking

Version: 2.4.0 (March 2026) — Rich elicitation with options for fix approach, progressive output for incremental phase results

Stats
Parent Repo Stars132
Parent Repo Forks14
Last CommitMar 24, 2026