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Found 1,269 Skills
Save current session state to Apple Notes at session end. Triggers on handoff, bye, done, wrap up, or Chinese equivalents. Multi-agent architecture with private (per-agent) and shared (cross-agent) notes. Three-tier memory: Active, Archive, Long-term. Use whenever the user wants to end a session, save progress, or says anything indicating they are done for now.
Invoke parallel document-specialist agents for external web searches and documentation lookup
Access 1200+ AI Agent tools via Model Context Protocol (MCP)
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
Scan skills for prerequisite tools, MCP servers, and auth requirements, then check if everything is installed and authenticated. Offers to fix issues. Use when setting up a new machine, after installing skills, or to verify your environment. Triggers: "check prerequisites", "skill prereqs", "are my tools installed", "verify skill dependencies", "/claude-skill-prereq-audit".
Define a new task with structured requirements before implementation. Use when the user says "define task", "new task", "spec this", or wants to formalize a feature/bug/refactor before planning.
Use this skill when you need guidance on which skill to use for any task. Recommends the perfect skill, creates skill combinations, and helps you discover capabilities you didn't know you had.
Forge implementation from JIRA tickets using dynamic skill generation. Gathers context into a lazy-loaded skill, then invokes it for execution. Use when given a JIRA ticket URL (format: https://[domain].atlassian.net/browse/[TICKET-ID]) to process end-to-end.
Report a bug in the compound-engineering plugin
Create a structured session handoff document for continuity across sessions. Use when ending a work session, switching contexts, or before a break. Captures decisions, progress, code changes, and next steps so a future session can pick up where you left off without losing context.
Resolve all PR comments using parallel processing. Use when addressing PR review feedback, resolving review threads, or batch-fixing PR comments.