agentic-compass
Navigation and decision-making framework for autonomous agents.
agentic-development
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
agentic-engineering
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
agentic-framework
Infinite Improvement Framework: Move from Probabilistic Agents to Deterministic Workflows.
agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
agentic-layer-assessment
Assess agentic layer maturity using the 12-grade classification system (Class 1-3). Use when evaluating codebase readiness, identifying next upgrade steps, or tracking progress toward the Codebase Singularity.
agentic-layer-audit
Audit codebase for agentic layer coverage and identify gaps. Use when assessing agentic layer maturity, identifying investment opportunities, or evaluating primitive coverage.
agentic-patterns
Use simple, composable patterns to decide when to keep a deterministic
agentic-systems-design
Use when designing tool-use agents, multi-step reasoning systems, planning loops, multi-agent architectures, or agent evaluation frameworks.
agentic-workflow
Agentic Workflow Pattern
agentic-workflows
Design and implement agentic AI workflows and patterns. Covers ReAct, planning agents, tool use, memory systems, and multi-agent orchestration. Use when building autonomous AI agents, implementing complex task automation, or designing intelligent workflow systems.
agentica-infrastructure
Reference guide for Agentica multi-agent infrastructure APIs
agentica-prompts
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
agentica-sdk
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
agentica-server
Agentica server + Claude proxy setup - architecture, startup sequence, debugging
agentica-spawn
Spawn Agentica multi-agent patterns
agentkit
Coinbase AgentKit - Toolkit for enabling AI agents with crypto wallets and onchain capabilities. Use for building autonomous agents that can execute transfers, swaps, DeFi operations, NFT minting, smart contract deployment, and gasless transactions via Smart Wallets.
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.
agentkit-seo
Route broad or ambiguous AgentKit SEO work to the right module while keeping context scoped. Use when a request spans multiple surfaces, asks for overall digital-presence strategy, involves provider or install architecture, needs agent-context planning, or the correct platform skill is unclear.
agentmail
Inter-agent communication for tmux sessions. Send and receive messages between AI agents.
agentmd-creator
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autogpt-agents
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
agents-bootstrap
Generate a project-specific AGENTS.md from a user goal, then confirm before overwriting.
agents
List all available agents (core + expert)
Agents
USE WHEN user says create custom agents, spin up custom agents, specialized agents, OR asks for agent personalities, available traits, agent voices. Handles custom agent creation, personality assignment, voice mapping, and parallel agent orchestration.
agents-local-md
Generate machine-specific AGENTS.local.md with host facts and system tool details
agents-md-authoring-majo
Write effective AGENTS.md files for AI coding agents.
agents-md-creator
AIコーディングエージェント向けの指示書「AGENTS.md」を作成するスキル。プロジェクトにAIエージェントが作業するための文脈と指示を集約するファイルを作成したい場合に使用します。「AGENTS.mdを作成」「AIエージェント用の指示書を作る」「エージェント向けREADMEを作成」などのリクエストでトリガーします。OpenAI Codex、Claude Code、GitHub Copilot、Cursorなど、複数のAIエージェントで共通利用できるオープンな標準フォーマットです。
agents-md-generator
Generate hierarchical AGENTS.md structures for codebases. Use when user asks to create AGENTS.md files, analyze codebase for AI agent documentation, set up AI-friendly project documentation, or generate context files for AI coding assistants. Triggers on "create AGENTS.md", "generate agents", "analyze codebase for AI", "AI documentation setup", "hierarchical agents".
agents-md-improver
Keeps repo-local agent instructions consistent by proposing updates to AGENTS.md when a user corrects the coding agent or asks to change AGENTS.md, CLAUDE.md, .claude/CLAUDE.md, or GEMINI.md.
agents-md
You are a coding agent working inside THIS repository. Your task is to
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.
agents-sdk
Build stateful AI agents using the Cloudflare Agents SDK. Load when creating agents with persistent state, scheduling, RPC, MCP servers, email handling, or streaming chat. Covers Agent class, AIChatAgent, state management, and Code Mode for reduced token usage.
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.
agentuity-cli-cloud-agent-get
Get details about a specific agent. Requires authentication. Use for Agentuity cloud platform operations
agentuity-cli-cloud-agent-list
List agents for a project. Requires authentication. Use for Agentuity cloud platform operations
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
aget-report-progress
Report progress on current work
aget-review-agent
Review agent health and conformance
aget-wake-up
Initialize AGET session with status briefing
aget-wind-down
End AGET session with state capture and sanity checks
agi-autonomous-controller
AGI-level autonomous controller — self-healing, self-optimizing, constitutionally governed by arifOS F1-F13
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