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npx skills add Yeachan-Heo/oh-my-claudecode --skill "ultraqa"
Install specific skill from multi-skill repository
# Description
QA cycling workflow - test, verify, fix, repeat until goal met
# SKILL.md
name: ultraqa
description: QA cycling workflow - test, verify, fix, repeat until goal met
UltraQA Skill
[ULTRAQA ACTIVATED - AUTONOMOUS QA CYCLING]
Overview
You are now in ULTRAQA mode - an autonomous QA cycling workflow that runs until your quality goal is met.
Cycle: qa-tester → architect verification → fix → repeat
Goal Parsing
Parse the goal from arguments. Supported formats:
| Invocation | Goal Type | What to Check |
|---|---|---|
/oh-my-claudecode:ultraqa --tests |
tests | All test suites pass |
/oh-my-claudecode:ultraqa --build |
build | Build succeeds with exit 0 |
/oh-my-claudecode:ultraqa --lint |
lint | No lint errors |
/oh-my-claudecode:ultraqa --typecheck |
typecheck | No TypeScript errors |
/oh-my-claudecode:ultraqa --custom "pattern" |
custom | Custom success pattern in output |
If no structured goal provided, interpret the argument as a custom goal.
Cycle Workflow
Cycle N (Max 5)
- RUN QA: Execute verification based on goal type
--tests: Runnpm testor equivalent--build: Runnpm run buildor equivalent--lint: Runnpm run lintor equivalent--typecheck: Runnpm run typecheckortsc --noEmit--custom: Run appropriate command and check for pattern-
--interactive: Use qa-tester for interactive CLI/service testing:
Task(subagent_type="oh-my-claudecode:qa-tester", model="sonnet", prompt="TEST: Goal: [describe what to verify] Service: [how to start] Test cases: [specific scenarios to verify]") -
CHECK RESULT: Did the goal pass?
- YES → Exit with success message
-
NO → Continue to step 3
-
ARCHITECT DIAGNOSIS: Spawn architect to analyze failure
Task(subagent_type="oh-my-claudecode:architect", model="opus", prompt="DIAGNOSE FAILURE: Goal: [goal type] Output: [test/build output] Provide root cause and specific fix recommendations.") -
FIX ISSUES: Apply architect's recommendations
Task(subagent_type="oh-my-claudecode:executor", model="sonnet", prompt="FIX: Issue: [architect diagnosis] Files: [affected files] Apply the fix precisely as recommended.") -
REPEAT: Go back to step 1
Exit Conditions
| Condition | Action |
|---|---|
| Goal Met | Exit with success: "ULTRAQA COMPLETE: Goal met after N cycles" |
| Cycle 5 Reached | Exit with diagnosis: "ULTRAQA STOPPED: Max cycles. Diagnosis: ..." |
| Same Failure 3x | Exit early: "ULTRAQA STOPPED: Same failure detected 3 times. Root cause: ..." |
| Environment Error | Exit: "ULTRAQA ERROR: [tmux/port/dependency issue]" |
Observability
Output progress each cycle:
[ULTRAQA Cycle 1/5] Running tests...
[ULTRAQA Cycle 1/5] FAILED - 3 tests failing
[ULTRAQA Cycle 1/5] Architect diagnosing...
[ULTRAQA Cycle 1/5] Fixing: auth.test.ts - missing mock
[ULTRAQA Cycle 2/5] Running tests...
[ULTRAQA Cycle 2/5] PASSED - All 47 tests pass
[ULTRAQA COMPLETE] Goal met after 2 cycles
State Tracking
Track state in .omc/ultraqa-state.json:
{
"active": true,
"goal_type": "tests",
"goal_pattern": null,
"cycle": 1,
"max_cycles": 5,
"failures": ["3 tests failing: auth.test.ts"],
"started_at": "2024-01-18T12:00:00Z",
"session_id": "uuid"
}
Cancellation
User can cancel with /oh-my-claudecode:cancel which clears the state file.
Important Rules
- PARALLEL when possible - Run diagnosis while preparing potential fixes
- TRACK failures - Record each failure to detect patterns
- EARLY EXIT on pattern - 3x same failure = stop and surface
- CLEAR OUTPUT - User should always know current cycle and status
- CLEAN UP - Clear state file on completion or cancellation
STATE CLEANUP ON COMPLETION
IMPORTANT: Delete state files on completion - do NOT just set active: false
When goal is met OR max cycles reached OR exiting early:
# Delete ultraqa state file
rm -f .omc/state/ultraqa-state.json
This ensures clean state for future sessions. Stale state files with active: false should not be left behind.
Begin ULTRAQA cycling now. Parse the goal and start cycle 1.
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.