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Found 19 Skills
Extract learnings about Claude Code behavior from a session and add them to the project's CLAUDE.md file. Use for behavioral rules, workflow patterns, and project-specific instructions that apply to the main Claude Code agent. Invoke via /update-claude-learnings after sessions revealing behavioral patterns.
Guides the design and structuring of workflow-based Claude Code skills with multi-step phases, decision trees, subagent delegation, and progressive disclosure. Use when creating skills that involve sequential pipelines, routing patterns, safety gates, task tracking, phased execution, or any multi-step workflow. Also applies when reviewing or refactoring existing workflow skills for quality.
n8n workflow automation knowledge base. Provides n8n node information, node functionality details, workflow patterns, and configuration examples. Covers triggers, data transformation, data input/output, AI integration, covering 10 nodes. Keywords: n8n, workflow, automation, node, trigger, webhook, http request, database, ai agent.
Use when building anything multi-step, anything that looks repeatable, anything the user mentions reusing, or any workflow with more than ~10 nodes. Triggers on "reuse", "I do this in another workflow", "extract", "modular", "shared logic", "subworkflow", multi-step builds, or any task that mentions logic the user has built before.
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.
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.
Self-improvement and learning skill that helps Claude learn from user interactions, corrections, and preferences