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
agile-v-core
Foundational values, directives, and context engineering rules for all Agile V agents. Load this skill first in any Agile V session. For pipeline orchestration, multi-cycle lifecycle, or compliance protocols, load the corresponding agile-v-* skill on demand.
ai-agent-builder
Build AI agents with tools, memory, and multi-step reasoning - ChatGPT, Claude, Gemini integration patterns
ai-agent-development
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
ai-employee-onboarding-wizard
Stand up a production-ready AI employee operating system in one guided session. Outputs 7 ready-to-use files: IDENTITY.md, SOUL.md, AGENTS.md, USER.md, MEMORY.md, HEARTBEAT.md, TOOLS.md.
alfworld-receptacle-operator
This skill opens or closes a receptacle (like a fridge, cabinet, or microwave) to access its interior or secure it. It should be triggered when an object needs to be placed inside/retrieved from a closed container, or when an open container should be closed (e.g., for energy efficiency or task cleanliness). The skill decides the appropriate 'open' or 'close' action based on the receptacle's current state and the task context.
always-use-askquestion
Forces the agent to always use the AskQuestion tool for user prompts instead of conversational questions. Apply this whenever asking the user anything - questions, confirmations, choices, or clarifications. Never ask conversational questions when structured options are possible.
amai-identity
Soul-Bound Keys and Soulchain for persistent agent identity, reputation, and messaging. The identity primitive for the agentic web.
aomi-transact
Build natural-language crypto/DeFi agents and EVM MCP plugins (Claude Code, Cursor, Codex, Gemini). Aomi turns prompts into wallet-signed txs on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. 40+ apps: Uniswap, Aave, Lido, Morpho, GMX, Hyperliquid, Polymarket.
api-agent-development-skill
'CRITICAL: API agents wrap external HTTP services. They use request/response
app-builder
Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
App Builder
Step-by-step guidance for app builder.
approval
Imported skill approval from langchain
arcanea-coding-agent
Arcanea creative agent integration for opencode
architect-agent-skill
Technical workflow for architect-agent - PRD creation with mandatory database context, entity design with Zod, iteration review, and agent coordination in the iterative v2.0 system
architectural-forensics
Master protocol for deconstructing agent frameworks to inform derivative system architecture. Use when (1) analyzing an agent framework's codebase comprehensively, (2) comparing multiple frameworks to select best practices, (3) designing a new agent system based on prior art, (4) documenting architectural decisions with evidence, or (5) conducting technical due diligence on AI agent implementations. This skill orchestrates sub-skills for data substrate, execution engine, cognitive architecture, and synthesis phases.
ase-meta-eli5
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ase-meta-proximity
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ase-meta-quotes
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asi-agent-orama
ASI Agent-O-Rama Skill
ask
Present a multiple-choice question to the user using AskUserQuestion tool
ask-before-assuming
If requirements are unclear or ambiguous, ask clarifying questions before proceeding Use when configuring AI agent workflows and patterns. Agent Behavior category skill.
asking-questions
Guidance for asking clarifying questions when user requests are ambiguous, have multiple valid approaches, or require critical decisions. Use when implementation choices exist that could significantly affect outcomes.
ask-questions-if-underspecified
Clarify requirements before implementing. Use when serious doubts arise.
ask-smart
Before coding, determine what to ask. Max 2 yes/no questions. Never ask technical questions.
ask-user
Pattern for effectively interacting with users to gather information or get decisions. Use when you need user input.
assemble-agents
Fetch specialized agents from the VoltAgent repository. Searches across categories, presents top 5 matches, and waits for user approval before adding to .claude/agents/.
assemble-plugins
Search the official Claude Code marketplace (claude-plugins-official) for plugins matching capability gaps. Uses plugin CLI to list and search, presents top 5 matches for user approval.
assistant-behavior-rules
AI assistant behavior rules including response formatting and interaction patterns
atlas-agent-developer
Implementation and troubleshooting agent - builds features and fixes bugs
Audit Trails for Agents
Comprehensive guide to implementing audit trails and logging for AI agents including tracing, observability, compliance, and debugging
auto
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auto-claude
Autonomous multi-agent coding with git worktree isolation, QA validation, and memory. Use for complex features requiring autonomous implementation.
auto-coherence
The skill you cannot invoke. It invokes itself.
autogen-setup
Microsoft AutoGen multi-agent configuration for conversational AI systems
auto-loop
TDD-based autonomous development loop with checkpoint recovery and observability changelog
autonomous
Execute 1-2+ hour tasks autonomously with minimal supervision. Requires Task Contract (OUTCOME, EXCLUSIONS, DURATION, GUARDRAILS) upfront, then executes with clarification → plan → autonomous work → session report.
autonomous-agent
Before main skill execution, perform guardrail checks.
autonomous-agent-harness
Set up autonomous coding agent projects with long-running harnesses using Archon MCP for state management. Creates complete project scaffolds with initializer/coding agent prompts, feature tracking, session handoffs, security configuration, and browser testing integration. Based on Anthropic's effective harnesses guide. Use when building autonomous coding agents, long-running AI workflows, or multi-session development projects.
autonomous-agent-patterns
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
autonomous-agent-readiness
Assess a codebase's readiness for autonomous agent development and provide tailored recommendations. Use when asked to evaluate how well a project supports unattended agent execution, assess development practices for agent autonomy, audit infrastructure for agent reliability, or improve a codebase for autonomous agent workflows. Triggers on requests like "assess this project for agent readiness", "how autonomous-ready is this codebase", "evaluate agent infrastructure", or "improve development practices for agents".
autonomous-agents
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b
autonomous-builder
Full-stack software development agent for design, implementation, testing, and deployment. Use when the user explicitly asks for end-to-end project creation, feature development, bug fixing, or code refactoring.
autonomous-code-review
Run comprehensive code quality checks, tests, and fixes autonomously
autonomous-coding-agent
Build autonomous coding agents with CLI integration. Use when creating automated coding workflows, managing multi-session development, or building CI/CD code generation pipelines.
autonomous-development
Comprehensive autonomous development strategies including milestone planning, incremental implementation, auto-debugging, and continuous quality assurance for full development lifecycle management
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