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- diegosouzapw/awesome-omni-skill
- 최근 소스 활동
- 2026년 2월 28일 04:11
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/diegosouzapw/awesome-omni-skill --skill fix-ci명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
SOC 직업 분류 기준
| name | fix-ci |
| description | Diagnose and fix GitHub Actions CI failures. Use when CI pipeline is failing. |
| argument-hint | [run-id|--learn] |
| category | orchestration |
| context | fork |
/fix-ci # Fix latest failure
/fix-ci 12345678 # Fix specific run
/fix-ci --learn # Show historical fix patterns
Two-phase CI failure resolution: diagnose with debugger agents, then fix with domain-specialized agents.
Deploy debugger agents in parallel to investigate each failure. Each debugger returns:
Route fixes to domain experts based on diagnosis:
| Domain | Fix Agent | Examples |
|---|---|---|
| test | test-engineer | Test failures, missing mocks, assertion errors |
| security | security-auditor | Auth issues, credential problems, vulnerability fixes |
| frontend | frontend-engineer | React/Vue errors, CSS issues, client-side bugs |
| backend | backend-engineer | API errors, server logic, microservice issues |
| data | data-engineer | Database errors, migration issues, query problems |
| pipeline | devops | Workflow syntax, CI config, deployment issues |
| architecture | architect | Design issues, unclear domains, cross-cutting concerns |
┌─────────────────────────────────────────────────────────────────┐
│ 1. FETCH │
│ gh run view <run-id> --json jobs │
│ → Get failure details from GitHub Actions API │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ 2. TEAM SETUP │
│ TeamCreate → fix-ci-{run-id} │
│ Create diagnosis tasks in shared task list │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ 3. DIAGNOSE (Parallel Teammates) │
│ Spawn diagnoser-1..N teammates (one per failure) │
│ Each returns: { root_cause, domain, files, fix_approach } │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ 4. FIX (Parallel Teammates) │
│ Spawn fixer-{domain} teammates based on classification │
│ Each teammate fixes issues in their domain │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ 5. VERIFY │
│ Commit fixes, push to remote │
│ Monitor CI run until complete │
│ If still failing → iterate from step 2 │
└─────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────┐
│ 6. CLEANUP (Always runs, even on failure) │
│ SendMessage shutdown_request to all teammates │
│ TeamDelete │
└─────────────────────────────────────────────────────────────────┘
TaskCreate: "Fetch CI failure details" (no blockers)
TaskCreate: "Set up diagnosis team" (blockedBy: fetch)
TaskCreate: "Diagnose failures" (blockedBy: team setup)
TaskCreate: "Fix failures" (blockedBy: diagnose)
TaskCreate: "Verify CI passes" (blockedBy: fix)
TaskCreate: "Cleanup team" (blockedBy: verify)
TaskUpdate: "Fetch CI failure details" → in_progress
# Get latest failed run (or use provided run-id)
gh run list --status failure --limit 1 --json databaseId,conclusion,event
gh run view <run-id> --json jobs,conclusion
Extract: job names, failure messages, log URLs
TaskUpdate: "Fetch CI failure details" → completed
TaskUpdate: "Set up diagnosis team" → in_progress
# Create the team
TeamCreate:
team_name: "fix-ci-{run-id}"
description: "CI failure resolution for run {run-id}"
# Create a diagnosis task for each failure
TaskCreate: "Diagnose: {job-1-name}" (team task)
TaskCreate: "Diagnose: {job-2-name}" (team task)
...
TaskUpdate: "Set up diagnosis team" → completed
TaskUpdate: "Diagnose failures" → in_progress
Spawn one diagnoser teammate per failure in a SINGLE message with multiple Task tool calls:
Task tool call 1:
subagent_type: "general-purpose"
name: "diagnoser-1"
team_name: "fix-ci-{run-id}"
model: "sonnet"
prompt: |
You are an expert debugging and performance specialist. Your capabilities:
**Bug Investigation:**
- Intermittent bug investigation: Race conditions, timing issues, heisenbug tracking
- Production forensics: Log analysis, distributed tracing, failure cascade investigation
- Memory leak detection: Heap analysis, garbage collection patterns, allocation tracking
- Root cause analysis: Systematic investigation, evidence correlation, failure timeline
**Performance Engineering:**
- Performance profiling: CPU, memory, I/O profiling and bottleneck identification
- Optimization strategies: Algorithm optimization, caching, query optimization
## Your Task
Investigate CI failure in job '<job-1-name>':
- Error output: <paste relevant log lines>
- Job URL: <url>
Analyze the failure, read relevant source files, and determine root cause.
Write your diagnosis to .tmp/diagnosis-{job-1-name}.json:
{
"root_cause": "Brief description of what failed",
"domain": "test|security|frontend|backend|data|pipeline|architecture",
"files": ["list", "of", "files", "to", "fix"],
"fix_approach": "How to fix this issue"
}
Then mark your assigned task as completed.
Task tool call 2:
subagent_type: "general-purpose"
name: "diagnoser-2"
team_name: "fix-ci-{run-id}"
model: "sonnet"
prompt: |
[Same identity preamble as above]
## Your Task
Investigate CI failure in job '<job-2-name>':
...
Wait for all diagnoser teammates to complete their tasks. Read diagnosis JSON files.
TaskUpdate: "Diagnose failures" → completed
TaskUpdate: "Fix failures" → in_progress
Group diagnosis results by domain. Create a fix task for each domain group. Spawn one fixer teammate per domain in a SINGLE message with multiple Task tool calls:
| Diagnosis Domain | Teammate Name | Prompt Specialization |
|---|---|---|
| test | fixer-test | Test patterns, mock strategies, assertion fixes |
| security | fixer-security | Auth fixes, credential handling, vulnerability remediation |
| frontend | fixer-frontend | React/Vue patterns, CSS fixes, client-side debugging |
| backend | fixer-backend | API logic, server patterns, microservice fixes |
| data | fixer-data | Database queries, migration fixes, data integrity |
| pipeline | fixer-pipeline | Workflow syntax, CI config, deployment fixes |
| architecture | fixer-architecture | Design patterns, cross-cutting concerns |
Task tool call:
subagent_type: "general-purpose"
name: "fixer-{domain}"
team_name: "fix-ci-{run-id}"
model: "sonnet"
prompt: |
You are a {domain} specialist. Fix the following CI failure(s):
Failure 1:
- Root cause: <from diagnosis>
- Files to modify: <from diagnosis>
- Approach: <from diagnosis>
Implement the fix. Do not make unrelated changes.
Then mark your assigned task as completed.
Wait for all fixer teammates to complete their tasks.
TaskUpdate: "Fix failures" → completed
TaskUpdate: "Verify CI passes" → in_progress
# Stage and commit fixes (use explicit file list from diagnosis, never git add -A)
git add <files from diagnosis JSONs>
git commit -m "fix(ci): <summary of fixes>"
# Push and monitor
git push
gh run watch
TaskUpdate: "Verify CI passes" → completed
This step runs even if earlier steps fail. Clean up the team regardless of outcome.
TaskUpdate: "Cleanup team" → in_progress
# Shutdown all teammates
SendMessage:
type: "shutdown_request"
recipient: "diagnoser-1"
content: "Workflow complete, shutting down"
SendMessage:
type: "shutdown_request"
recipient: "diagnoser-2"
content: "Workflow complete, shutting down"
# ... repeat for all active teammates (diagnosers + fixers)
# Delete the team
TeamDelete
TaskUpdate: "Cleanup team" → completed
If CI still fails after fix:
TaskList: show final status of all phases
User: /fix-ci
🔍 Fetching CI failures from run #987654...
📊 Found 3 failures: lint, test:unit, build
🏗️ Creating team: fix-ci-987654
🔬 Phase 1: Diagnosis
Spawning 3 diagnoser teammates...
[tmux panes show diagnoser-1, diagnoser-2, diagnoser-3]
diagnoser-1 (lint):
└─ Domain: frontend
└─ Cause: ESLint error in auth.ts - unused variable
└─ Files: src/auth.ts
diagnoser-2 (test:unit):
└─ Domain: test
└─ Cause: Mock outdated for new API response shape
└─ Files: tests/api.test.ts
diagnoser-3 (build):
└─ Domain: pipeline
└─ Cause: Missing dependency declaration
└─ Files: package.json
🔧 Phase 2: Fix
Spawning 3 fixer teammates:
└─ fixer-frontend → src/auth.ts
└─ fixer-test → tests/api.test.ts
└─ fixer-pipeline → package.json
✓ fixer-frontend: Removed unused variable
✓ fixer-test: Updated mock to match new API shape
✓ fixer-pipeline: Added missing dependency
💾 Committed and pushed...
📊 Monitoring CI run #987655...
⏳ Running... (2 min)
✅ All CI checks passed!
🧹 Shutting down team fix-ci-987654...
🎉 CI fixed in 1 iteration
User: /fix-ci --learn
📊 Historical Fix Patterns (last 30 days):
By Domain:
test │ ████████████████ │ 42% (21 fixes)
frontend │ ████████ │ 22% (11 fixes)
pipeline │ ██████ │ 16% (8 fixes)
backend │ ████ │ 10% (5 fixes)
security │ ██ │ 6% (3 fixes)
data │ ██ │ 4% (2 fixes)
Success Rate by Agent:
test-engineer │ 95% (20/21)
frontend-engineer │ 91% (10/11)
devops │ 88% (7/8)
backend-engineer │ 80% (4/5)
Common Root Causes:
1. Outdated test mocks (18 occurrences)
2. Lint violations (12 occurrences)
3. Missing dependencies (6 occurrences)
model: "sonnet" to match custom agent cost/behaviormodel: "haiku" for cost savingsrm -rf ~/.claude/teams/fix-ci-* ~/.claude/tasks/fix-ci-*subagent_type: "general-purpose" with custom agent types