nx-ci-monitor
nx-ci-monitor monitors Nx Cloud CI pipeline executions and automatically applies self-healing fixes to resolve failures. Use this skill when watching CI status, monitoring pipeline health, checking for failures, or enabling automatic remediation of common CI issues within the Nx Cloud ecosystem. Requires an active Nx Cloud connection configured in the workspace.
git clone --depth 1 https://github.com/tech-leads-club/agent-skills /tmp/nx-ci-monitor && cp -r /tmp/nx-ci-monitor/packages/skills-catalog/skills/(tooling)/nx-ci-monitor ~/.claude/skills/nx-ci-monitorSKILL.md
# CI Monitor Command
You are the orchestrator for monitoring Nx Cloud CI pipeline executions and handling self-healing fixes. You spawn the `ci-watcher` subagent to poll CI status and make decisions based on the results.
## Context
- **Current Branch:** !`git branch --show-current`
- **Current Commit:** !`git rev-parse --short HEAD`
- **Remote Status:** !`git status -sb | head -1`
## User Instructions
$ARGUMENTS
**Important:** If user provides specific instructions, respect them over default behaviors described below.
## Configuration Defaults
| Setting | Default | Description |
| ------------------------- | ------------- | ------------------------------------------------------------------- |
| `--max-cycles` | 10 | Maximum CIPE cycles before timeout |
| `--timeout` | 120 | Maximum duration in minutes |
| `--verbosity` | medium | Output level: minimal, medium, verbose |
| `--branch` | (auto-detect) | Branch to monitor |
| `--subagent-timeout` | 60 | Subagent polling timeout in minutes |
| `--fresh` | false | Ignore previous context, start fresh |
| `--auto-fix-workflow` | false | Attempt common fixes for pre-CIPE failures (e.g., lockfile updates) |
| `--new-cipe-timeout` | 10 | Minutes to wait for new CIPE after action |
| `--local-verify-attempts` | 3 | Max local verification + enhance cycles before pushing to CI |
Parse any overrides from `$ARGUMENTS` and merge with defaults.
## Nx Cloud Connection Check
**CRITICAL**: Before starting the monitoring loop, verify the workspace is connected to Nx Cloud.
### Step 0: Verify Nx Cloud Connection
1. **Check `nx.json`** at workspace root for `nxCloudId` or `nxCloudAccessToken`
2. **If `nx.json` missing OR neither property exists** → exit with:
```
[ci-monitor] Nx Cloud not connected. Unlock 70% faster CI and auto-fix broken PRs with https://nx.dev/nx-cloud
```
3. **If connected** → continue to main loop
## Session Context Behavior
**Important:** Within a Claude Code session, conversation context persists. If you Ctrl+C to interrupt the monitor and re-run `/ci-monitor`, Claude remembers the previous state and may continue from where it left off.
- **To continue monitoring:** Just re-run `/ci-monitor` (context is preserved)
- **To start fresh:** Use `/ci-monitor --fresh` to ignore previous context
- **For a completely clean slate:** Exit Claude Code and restart `claude`
## Default Behaviors by Status
The subagent returns with one of the following statuses. This table defines the **default behavior** for each status. User instructions can override any of these.
| Status | Default Behavior |
| ------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `ci_success` | Exit with success. Log "CI passed successfully!" |
| `fix_auto_applying` | Fix will be auto-applied by self-healing. Do NOT call MCP. Record `last_cipe_url`, spawn new subagent in wait mode to poll for new CIPE. |
| `fix_available` | Compare `failedTaskIds` vs `verifiedTaskIds` to determine verification state. See **Fix Available Decision Logic** section below. |
| `fix_failed` | Self-healing failed to generate fix. Attempt local fix based on `taskOutputSummary`. If successful → commit, push, loop. If not → exit with failure. |
| `environment_issue` | Call MCP to request rerun: `update_self_healing_fix({ shortLink, action: "RERUN_ENVIRONMENT_STATE" })`. New CIPE spawns automatically. Loop to poll for new CIPE. |
| `no_fix` | CI failed, no fix available (self-healing disabled or not executable). Attempt local fix if possible. Otherwise exit with failure. |
| `no_new_cipe` | Expected CIPE never spawned (CI workflow likely failed before Nx tasks). Report to user, attempt common fixes if configured, or exit with guidance. |
| `polling_timeout` | Subagent polling timeout reached. Exit with timeout. |
| `cipe_canceled` | CIPE was canceled. Exit with canceled status. |
| `cipe_timed_out` | CIPE timed out. Exit with timeout status. |
| `error` | Increment `no_progress_count`. If >= 3 → exit with circuit breaker. Otherwise wait 60s and loop. |
### Fix Available Decision Logic
When subagent returns `fix_available`, main agent compares `failedTaskIds` vs `verifiedTaskIds`:
#### Step 1: Categorize Tasks
1. **Verified tasks** = tasks in both `failedTaskIds` AND `verifiedTaskIds`
2. **Unverified tasks** = tasks in `failedTaskIds` but NOT in `verifiedTaskIds`
3. **E2E tasks** = unverified tasks where target contains "e2e" (task format: `<project>:<target>` or `<project>:<target>:<config>`)
4. **Verifiable tasks** = unverifiedFinds duplicate business logic spread across multiple components and suggests consolidation. Use when asking "where is this logic duplicated?", "find common code between services", "what can be consolidated?", "detect shared domain logic", or analyzing component overlap before refactoring. Do NOT use for code-level duplication detection (use linters) or dependency analysis (use coupling-analysis).
Detects misplaced classes and fixes component hierarchy problems — finds code that should belong inside a component but sits at the root level. Use when asking "clean up component structure", "find orphaned classes", "fix module hierarchy", "flatten nested components", or analyzing why namespaces have misplaced code. Do NOT use for dependency analysis (use coupling-analysis) or domain grouping (use domain-identification-grouping).
Maps architectural components in a codebase and measures their size to identify what should be extracted first. Use when asking "how big is each module?", "what components do I have?", "which service is too large?", "analyze codebase structure", "size my monolith", or planning where to start decomposing. Do NOT use for runtime performance sizing or infrastructure capacity planning.
Analyzes coupling between modules using the three-dimensional model (strength, distance, volatility) from "Balancing Coupling in Software Design". Use when asking "are these modules too coupled?", "show me dependencies", "analyze integration quality", "which modules should I decouple?", "coupling report", or evaluating architectural health. Do NOT use for domain boundary analysis (use domain-analysis) or component sizing (use component-identification-sizing).
Creates step-by-step decomposition plans and migration roadmaps for breaking apart monolithic applications. Use when asking "what order should I extract services?", "plan my migration", "create a decomposition roadmap", "prioritize what to split", "monolith to microservices strategy", or tracking decomposition progress. Do NOT use for domain analysis (use domain-analysis) or component sizing (use component-identification-sizing).
Maps business domains and suggests service boundaries in any codebase using DDD Strategic Design. Use when asking "what are the domains in this codebase?", "where should I draw service boundaries?", "identify bounded contexts", "classify subdomains", "DDD analysis", or analyzing domain cohesion. Do NOT use for grouping existing components into domains (use domain-identification-grouping) or dependency analysis (use coupling-analysis).
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's vision with high fidelity. Use when the user asks to build, design, create, or improve any frontend interface — websites, landing pages, dashboards, components, apps, emails, forms, modals, or any UI element. Also triggers on "build me a UI", "design a page", "create a component", "improve this layout", "make this look better", "frontend", "interface", "redesign", or when the user provides mockups, screenshots, or design references. Do NOT use for backend logic, API design, database schemas, or non-visual code tasks.