Loading...
Loading...
Found 8,331 Skills
Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches - provides git worktree commands and workflow patterns for parallel development with multiple working directories.
MaxMind minFraud integration. Manage data, records, and automate workflows. Use when the user wants to interact with MaxMind minFraud data.
This skill should be used when the user asks to "add a background job", "process async", "schedule a task", "retry failed jobs", "add email sending", "run this later", "add a cron job", "unique jobs", "batch process", or mentions Oban, Oban Pro, workflows, job queues, cascades, grafting, recorded values, job args, or troubleshooting job failures.
Fix GitHub Actions failures by analyzing recent workflow runs and applying fixes in a worktree
Run the /check-phoenix-duskmoon-design Claude command workflow in Codex.
Basic Hive skill. Enable agents to work as members of the Hive runtime: discover context, view members, receive <HIVE ...> messages, send messages, and load higher-level workflow skills.
Upload screenshots and images to GitHub, returning markdown-ready URLs for PRs, issues, and comments. Use when needing to attach images to GitHub PRs/issues, upload screenshots, embed visuals in markdown, or when a workflow produces images that should be shared on GitHub. Trigger words - upload image, attach screenshot, add image to PR, embed screenshot, visual diff, before/after screenshot.
Linear issue management. MUST USE when: (1) user mentions LOBE-xxx issue IDs (e.g. LOBE-4540), (2) user says 'linear', 'linear issue', 'link linear', (3) creating PRs that reference Linear issues. Provides workflows for retrieving issues, updating status, and adding comments.
Connect apps and automate workflows with simple applets.
Use when running or maintaining an Opportunity Solution Tree (OST) workflow with a lightweight graph store and CLI. Provides a single entry skill that routes to outcome, opportunity, solution, and assumption/experiment phases via progressive disclosure.
Implement applications using Google Cloud Platform (GCP) services. Use when building on GCP infrastructure, selecting compute/storage/database services, designing data analytics pipelines, implementing ML workflows, or architecting cloud-native applications with BigQuery, Cloud Run, GKE, Vertex AI, and other GCP services.
AI agent workflow with interview-driven planning and team-based execution. Use /design to start planning, /work to execute.