A specialized skill for Gemini CLI that provides high-performance, fail-fast

npx skills add https://github.com/google-gemini/gemini-cli --skill ci

CI Replicate & Status

This skill enables the agent to efficiently monitor GitHub Actions, triage failures, and bridge remote CI errors to local development. It defaults to automatic replication of failures to streamline the fix cycle.

Core Capabilities

  • Automatic Replication: Automatically monitors CI and immediately executes suggested test or lint commands locally upon failure.
  • Real-time Monitoring: Aggregated status line for all concurrent workflows on the current branch.
  • Fail-Fast Triage: Immediately stops on the first job failure to provide a structured report.

Workflow

1. CI Replicate (replicate) - DEFAULT

Use this as the primary path to monitor CI and automatically replicate failures locally for immediate triage and fixing.

  • Behavior: When this workflow is triggered, the agent will monitor the CI and immediately and automatically execute all suggested test or lint commands (marked with 🚀) as soon as a failure is detected.
  • Tool: node .gemini/skills/ci/scripts/ci.mjs [branch]
  • Discovery: The script automatically finds the latest active or recent run for the branch. Do NOT manually search for run IDs.
  • Goal: Reproduce the failure locally without manual intervention, then proceed to analyze and fix the code.

1. CI Status (status)

Use this when you have pushed changes and need to monitor the CI and reproduce any failures locally.

  • Tool: node .gemini/skills/ci/scripts/ci.mjs [branch] [run_id]
  • Discovery: The script automatically finds the latest active or recent run for the branch. You should NOT manually search for `run_id` using `gh run list` unless a specific historical run is requested. Simply provide the branch name.
  • Step 1 (Monitor): Execute the tool with the branch name.
  • Step 2 (Extract): Extract suggested `npm test` or `npm run lint` commands from the output (marked with 🚀).
  • Step 3 (Reproduce): Execute those commands locally to confirm the failure.
  • Behavior: It will poll every 15 seconds. If it detects a failure, it will exit with a structured report and provide the exact commands to run locally.

Failure Categories & Actions

  • Test Failures: Agent should run the specific npm test -w <pkg> -- <path> command suggested.
  • Lint Errors: Agent should run npm run lint:all or the specific package lint command.
  • Build Errors: Agent should check tsc output or build logs to resolve compilation issues.
  • Job Errors: Investigate gh run view --job <job_id> --log for infrastructure or setup failures.

Noise Filtering

The underlying scripts automatically filter noise (Git logs, NPM warnings, stack trace overhead). The agent should focus on the "Structured Failure Report" provided by the tool.

More skills from google-gemini

agent-tui
google-gemini
Main Agents: Do NOT use this skill directly. If you need to test the TUI, invoke the `tui_tester` subagent. Drive terminal UI (TUI) applications…
gemini-api-cli
google-gemini
Guide for using the Gemini API CLI tool. Use when you need to interact with the Gemini API via the command line, manage agents, or generate media (images,…
behavioral-evals
google-gemini
Guidance for creating, running, fixing, and promoting behavioral evaluations. Use when verifying agent decision logic, debugging failures, debugging prompt…
gemini-live-api-dev
google-gemini
Real-time bidirectional streaming with Gemini over WebSockets for audio, video, and text conversations. Supports audio input/output (16 kHz PCM), video frames, text, and automatic transcriptions with voice activity detection for interruption handling Includes native audio features: affective dialog, proactive audio, and thinking mode; function calling for synchronous and asynchronous tool use; and Google Search grounding Offers session management with context compression, resumption, and...
gemini-omni-flash-api
google-gemini
Use this skill for generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the…
gemini-api-dev
google-gemini
Build applications with Google's Gemini models, supporting multimodal content, function calling, and structured outputs across Python, JavaScript, Go, and Java. Access current Gemini 3 models (Pro, Flash, Pro Image) with 1M token context; legacy Gemini 2.x and 1.5 models are deprecated Supports text generation, image/audio/video understanding, function calling, structured JSON output, code execution, context caching, and embeddings Official SDKs available: google-genai (Python),...
gemini-interactions-api
google-gemini
Unified interface for Gemini models and agents with server-side state, streaming, and tool orchestration. Supports multiple current models (gemini-3-flash-preview, gemini-3-pro-preview, gemini-2.5-flash/pro) and the Deep Research agent; automatically substitute deprecated model IDs with current alternatives Offload conversation history to the server via previous_interaction_id for stateful multi-turn interactions without manual history management Built-in tool orchestration including...
deliver
google-gemini
Posts a condensed version of the briefing to a Google Chat or Slack incoming webhook, so the daily run delivers itself — skips silently when no webhook is…