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Found 196 Skills
Creates ALL task types (implementation, refactoring, test). Generates task documents from templates, validates type rules, creates in Linear, updates kanban. Invoked by orchestrators.
View Linear roadmaps. Use when viewing roadmap planning.
Test suite audit coordinator (L2). Delegates to 5 workers (Business Logic, E2E, Value, Coverage, Isolation). Aggregates results, creates Linear task in Epic 0.
Implement a feature or fix based on a Linear issue
Query and manage Linear issues, cycles, labels, documents, attachments, projects, and team workflows. Use when creating, updating, searching, or triaging Linear issues, managing sprints, checking project status, or running a standup summary.
Generate structured video transcripts from local files or video URLs using Gemini Files API. Use when a GitHub or Linear tracker item, comment, or attachment includes a screen recording, .mov, .mp4, or tracker-hosted video and you need a <video-transcripts> block instead of hand-written notes.
Creates Stories from IDEAL plan (CREATE) or appends user-requested Stories (ADD). Generates 8-section documents, validates INVEST, creates in Linear. Invoked by ln-220.
Creates task management documentation (docs/tasks/README.md + kanban_board.md). L2 Worker in ln-100-documents-pipeline. Sets up Linear integration and task tracking rules.
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.
MCP skill for linear. Provides 31 tools: get_attachment, create_attachment, delete_attachment, list_comments, save_comment, delete_comment, list_cycles, get_document, list_documents, create_document, update_document, extract_images, get_issue, list_issues, save_issue, list_issue_statuses, get_issue_status, list_issue_labels, create_issue_label, list_projects, get_project, save_project, list_project_labels, list_milestones, get_milestone, save_milestone, list_teams, get_team, list_users, get_user, search_documentation
Comprehensive guide for NumPy - the fundamental package for scientific computing in Python. Use for array operations, linear algebra, random number generation, Fourier transforms, mathematical functions, and high-performance numerical computing. Foundation for SciPy, pandas, scikit-learn, and all scientific Python.
Instructions for using the Linear CLI to manage issues, projects, teams, and more in Linear