Loading...
Loading...
Found 169 Skills
Creates a git worktree from main for a Linear issue. Use when the user pastes a Linear URL (https://linear.app/.../issue/ABC-58/...), a Linear "copy as prompt" string, or just an issue ID like "ABC-58". Handles URL parsing, branch name derivation, and worktree creation as a sibling directory. Also use when asked to "make a worktree for ABC-58", "set up a branch for this issue", or "create a worktree".
Generate CI/CD configuration for Linear Release. Use when setting up release tracking, configuring CI pipelines for Linear, or integrating deployments with Linear releases. Supports GitHub Actions, GitLab CI, CircleCI, and other platforms.
Create and customize Syncfusion Angular Linear Gauge components for displaying measurements and metrics. Use this skill when user needs to implement a linear gauge, display scalar values in a linear scale, create measurement interfaces, configure ranges and pointers, add annotations, handle user interactions, or customize gauge appearance. Covers installation, configuration, events, accessibility, printing, and internationalization.
View Linear initiatives. Use for high-level tracking across projects.
Instructions for using the Linear CLI to manage issues, projects, teams, and more in Linear
Update Linear issues. Use when changing status, priority, assignee, or labels.
Automate Linear tasks via Rube MCP (Composio): issues, projects, cycles, teams, labels. Always search tools first for current schemas.
Set up Symphony (OpenAI's Codex orchestrator) for a user's repo. Use when the user mentions Symphony setup, configuring Symphony, getting Symphony running, or wants to connect their repo to Linear for autonomous Codex agents. Also use when the user says "set up symphony", "configure symphony for my repo", or references WORKFLOW.md configuration.
Create a Linear OAuth application and configure Cyrus to use it — supports agent-browser automation or guided manual setup.
Scaffold a new project with Next.js, GSD, skills, Linear integration, and MCP config
Pick up the next Linear issue — validate context, create branch, plan approach
Predict construction project costs using Machine Learning. Use Linear Regression, K-Nearest Neighbors, and Random Forest models on historical project data. Train, evaluate, and deploy cost prediction models.