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Found 114 Skills
Complete AI agent operating system setup with Kanban task management. Use when setting up multi-agent coordination, task tracking, or configuring an agent team. Includes theme selection (DBZ, One Piece, Marvel, etc.), workflow enforcement (all tasks through board), browser setup, GitHub integration, and memory enhancement (mem0, Supermemory, QMD).
Enterprise session state management, token budget optimization, runtime tracking, session handoff protocols, context continuity for Claude Sonnet 4.5 and Haiku 4.5 with context awareness features
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
Agent skill for agent - invoke with $agent-agent
Bitcoin Taproot M-of-N multisig coordination between agents — share x-only Taproot pubkeys, sign BIP-341 sighashes with Schnorr, verify co-signer signatures, and navigate the OP_CHECKSIGADD workflow. Proven on mainnet (2-of-2 block 937,849 and 3-of-3 block 938,206).
Use chat rooms through the Paseo CLI. Use when the user says "chat room", "room", "coordinate through chat", "shared mailbox", or wants agents to communicate asynchronously.
Manage tasks via dex CLI. Use when breaking down complex work, tracking implementation items, or persisting context across sessions.
Persistent local memory for AI agents. Use when starting a new session, when the user mentions remembering something, when you need project context, when making architecture decisions, or when working with other agents on the same project.
Goal-based workflow orchestration - routes tasks to specialist agents based on user goals
Run MassGen experiments and analyze logs using automation mode, logfire tracing, and SQL queries. Use this skill for performance analysis, debugging agent behavior, evaluating coordination patterns, and improving the logging structure, or whenever an ANALYSIS_REPORT.md is needed in a log directory.
Execute multiple independent tasks simultaneously using parallel agent coordination to maximize throughput. Use when tasks have no dependencies, results can be aggregated, and agents are available for concurrent work.
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.