agent-migration-plan
Agent skill for migration-plan - invoke with $agent-migration-plan
agent-multi-repo-swarm
Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm
agent-native
Make an out-of-session agent AgentOps-native via skills + ao CLI + CI, not hooks.
agent-onboarding
Comprehensive framework for effective gptme agent onboarding that builds user trust, communicates capabilities clearly, and establishes productive working relationships from the first interaction.
Agent Orchestration Patterns
Multi-agent coordination patterns for building effective AI teams
agent-orchestrator
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
agent-orchestrator-task
Agent skill for orchestrator-task - invoke with $agent-orchestrator-task
agent-output-formats
Standardized output formats for research, planning, implementation, and review agents. Use when generating agent outputs or parsing agent responses.
agent-pagerank-analyzer
Agent skill for pagerank-analyzer - invoke with $agent-pagerank-analyzer
agent-payments
Agent skill for payments - invoke with $agent-payments
agent-pr-manager
Agent skill for pr-manager - invoke with $agent-pr-manager
agent-pseudocode
Agent skill for pseudocode - invoke with $agent-pseudocode
agent-queen-coordinator
Agent skill for queen-coordinator - invoke with $agent-queen-coordinator
agent-quorum-manager
Agent skill for quorum-manager - invoke with $agent-quorum-manager
agent-raft-manager
Agent skill for raft-manager - invoke with $agent-raft-manager
Agent Reasoning & Decision-Making
Design effective reasoning processes for AI agents and optimize decision-making strategies. Use when designing agent prompts, improving decision quality, implementing specialized reasoning modes, creating reasoning traces, or debugging agent mistakes. Covers prompting, chain-of-thought, reasoning depth, and decision evaluation.
Agent Reliability & Safety
Design reliable, safe, and trustworthy agent systems that fail gracefully and operate within bounds. Use when building guardrails, handling edge cases, preventing harmful outputs, monitoring for failures, implementing safety constraints, or designing error recovery. Covers failure modes, constraint systems, oversight mechanisms, and safety validation.
agent-researcher
Agent skill for researcher - invoke with $agent-researcher
agent-reviewer
Agent skill for reviewer - invoke with $agent-reviewer
agent-roles-core
Core agent role definitions and responsibilities used across repositories.
agent-safla-neural
Agent skill for safla-neural - invoke with $agent-safla-neural
agent-sandbox
Agent skill for sandbox - invoke with $agent-sandbox
agent-scout-explorer
Agent skill for scout-explorer - invoke with $agent-scout-explorer
agentskill-expertise
Agent Skill design knowledge base — mechanisms, philosophy, patterns, pitfalls. Use when: designing new skills, reviewing skill quality, or deciding whether something should be a skill.
agents-local-md
Generate machine-specific AGENTS.local.md with host facts and system tool details
agents-md-manager
>-
agents-md-pro
Create, optimize, update, and validate AGENTS.md files with maximum token efficiency. Use when the user asks to (1) create new AGENTS.md files for any repository, (2) optimize/condense existing AGENTS.md to reduce token count, (3) update/refresh AGENTS.md to sync with codebase changes, (4) validate AGENTS.md quality and completeness, or (5) improve AGENTS.md files to be more effective for AI agents. Always generates token-efficient, condensed output focused on actionable commands and patterns while maintaining model-agnostic language.
agent-specification
Agent skill for specification - invoke with $agent-specification
agent-spec-mobile-react-native
Agent skill for spec-mobile-react-native - invoke with $agent-spec-mobile-react-native
agent-steering
Universal agent configuration patterns for any AI coding environment. Use when configuring steering, specs, or context assembly for Kiro, Claude Code, Codex, Charm, or other agents.
agents-v2-py
Build container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry.
agent-swarm
Agent skill for swarm - invoke with $agent-swarm
agent-swarm-issue
Agent skill for swarm-issue - invoke with $agent-swarm-issue
agent-swarm-memory-manager
Agent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manager
agent-swarm-pr
Agent skill for swarm-pr - invoke with $agent-swarm-pr
agent-teams
Coordinate multiple Claude Code sessions as a team — lead + teammates with shared task lists, mailbox messaging, and file-lock claiming. Patterns for team sizing, task decomposition, and when to use teams vs sub-agents vs worktrees.
agent-template
Generate custom agent from template
agent-topology-optimizer
Agent skill for topology-optimizer - invoke with $agent-topology-optimizer
agent-trace
Agent Trace仕様に基づくAI生成コードの帰属追跡・統計・管理スキル。編集履歴の確認、AI/人間の貢献率分析、コンプライアンス対応レポート生成。
agent-trading-predictor
Agent skill for trading-predictor - invoke with $agent-trading-predictor
agent-user-tools
Agent skill for user-tools - invoke with $agent-user-tools
agent-worker-specialist
Agent skill for worker-specialist - invoke with $agent-worker-specialist
aget-check-evolution
Monitor .aget/evolution/ directory health. Validates file counts, naming conventions, disk usage, and returns health status with alerts on anomalies.
aget-check-health
Run AGET health inspection and housekeeping checks
aget-check-kb
Validate Knowledge Base health by checking structure, frontmatter compliance, and content staleness. Returns conformance score and health status (OK/WARN/CRITICAL).
aget-check-sessions
Monitor sessions/ directory health. Detects date subdirectories (anomaly), counts files, validates naming conventions, and tracks disk usage. Returns health status.
aget-create-project
Create research projects with context-aware scaffolding. Reads AGET identity, searches prior work, pre-populates Due Diligence. Use when starting any formal AGET project.
aget-enhance-spec
Guide through the 7-phase specification enhancement lifecycle (Phases 0-6 from L622). Governs creating, updating, wiring, and validating AGET specifications.
aget-execute-task
Execute tasks with progress tracking
aget-recommend-action
Provide recommendations with rationale and alternatives
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