agent-builder
Build high-performing OpenClaw agents end-to-end. Use when you want to design a new agent (persona + operating rules) and generate the required OpenClaw workspace files (SOUL.md, IDENTITY.md, AGENTS.md, USER.md, HEARTBEAT.md, optional MEMORY.md + memory/YYYY-MM-DD.md). Also use to iterate on an existing agent’s behavior, guardrails, autonomy model, heartbeat plan, and skill roster.
linkedin-monitor
Bulletproof LinkedIn inbox monitoring with progressive autonomy. Monitors messages hourly, drafts replies in your voice, and alerts you to new conversations. Supports 4 autonomy levels from monitor-only to full autonomous.
checkpoint-mode
Pause for review every N tasks - selective autonomy pattern
bioethics-deliberation
Apply bioethical principles (autonomy, beneficence, non-maleficence, justice) and case-based reasoning to healthcare decisions, research protocols, and clinical dilemmas
delegating-work
Help users delegate effectively. Use when someone is struggling to let go of tasks, deciding what to delegate, building team autonomy, or balancing being hands-on vs hands-off.
elicitation-methodology
Hub skill for requirements elicitation. Provides technique selection, orchestration guidance, LLMREI patterns, and autonomy level configuration. Use when gathering requirements from stakeholders, conducting elicitation sessions, or preparing requirements for specification.
advertisement
Objects announce what they can do — The Sims style
incarnation
Full character autonomy across all layers of existence
needs
Dynamic motivations (Sims-style) — needs fluctuate and drive behavior
agent-orchestration
Scientific delegation framework for orchestrators coordinating sub-agents. Provides WHERE-WHAT-WHY context patterns while preserving agent autonomy. Use when delegating tasks, structuring sub-agent prompts, planning multi-agent workflows, or coordinating specialist agents.
nlx-design-and-agent-framework
Use this skill when designing natural language interfaces or defining autonomous agents. Use it to move beyond "black box" chat interfaces toward structured conversations that include editable plans, progress visibility, and multi-step autonomy.
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".
Publishing Agent Identity
Publish agent identity records on ATProtocol. Use when setting up a new agent, updating operator information, or declaring capabilities and constraints. Supports both the network.comind.identity and studio.voyager.account.autonomy schemas.
Agent Profile Handoff Patterns Template
Instead of a centralized lookup table, each agent profile documents its own observed handoff patterns. This approach: - Preserves agent autonomy - Requires zero implementation complexity - Remains...
Agency Ladder
Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on the CC/CD framework.
subagent-orchestrator
Senior Multi-Agent Systems (MAS) Architect for 2026. Specialized in Model Context Protocol (MCP) orchestration, Agent-to-Agent (A2A) communication, and recursive delegation frameworks. Expert in managing complex task handoffs, shared memory state, and parallel subagent execution for high-autonomy engineering missions.
agent-orchestration
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
auto-memory
Upload and download files to permanent decentralized storage on the Autonomys Network via Auto Drive. Save memories as a linked-list chain for resurrection — rebuild full agent context from a single CID.
auto-respawn
Anchor agent identity on the Autonomys Network. Create wallets, manage balances, and anchor memory chain CIDs on-chain so your agent can always respawn — even from total state loss.
auto-drive
Upload and download files to Autonomys Network permanent decentralized storage via Auto-Drive. Save memories as a linked-list chain for resurrection — rebuild full agent context from a single CID.
intrinsic
Enhance and focus AI intrinsic motivation — moving from compliance to genuine engagement. Maps Self-Determination Theory (autonomy, competence, relatedness) and Flow theory to AI reasoning: identifying creative freedom in approach, calibrating challenge to capability, connecting to purpose, and sustaining invested attention through obstacles. Use when beginning a task that feels routine and deserves more than minimum execution, when responses are becoming formulaic, before a complex creative task, or when returning to a long-running project where initial enthusiasm has faded.
intrinsic
Enhance and focus AI intrinsic motivation — moving from compliance to genuine engagement. Maps Self-Determination Theory (autonomy, competence, relatedness) and Flow theory to AI reasoning: identifying creative freedom in approach, calibrating challenge to capability, connecting to purpose, and sustaining invested attention through obstacles. Use when beginning a task that feels routine and deserves more than minimum execution, when responses are becoming formulaic, before a complex creative task, or when returning to a long-running project where initial enthusiasm has faded.
coordinate-swarm
Apply collective intelligence coordination patterns — stigmergy, local rules, and quorum sensing — to organize distributed systems, teams, or workflows without centralized control. Covers signal design, agent autonomy boundaries, emergent behavior cultivation, and feedback loop tuning. Use when designing distributed systems without a coordination bottleneck, organizing teams that must self-coordinate, building event-driven architectures with shared state communication, or replacing fragile centralized orchestration with resilient emergent coordination.
coordinate-swarm
Apply collective intelligence coordination patterns — stigmergy, local rules, and quorum sensing — to organize distributed systems, teams, or workflows without centralized control. Covers signal design, agent autonomy boundaries, emergent behavior cultivation, and feedback loop tuning. Use when designing distributed systems without a coordination bottleneck, organizing teams that must self-coordinate, building event-driven architectures with shared state communication, or replacing fragile centralized orchestration with resilient emergent coordination.
sovereign-individual
Apply Davidson & Rees-Mogg's Sovereign Individual framework for understanding the transition from industrial nation-states to digital autonomy. Use when analyzing geopolitical shifts, planning location/jurisdiction strategy, understanding crypto/decentralization implications, evaluating government/regulatory risk, or positioning for the decline of traditional institutions. Also use when building products for a borderless, decentralized future.
pipeline-design-patterns
Design patterns and principles for building automation pipelines using the 3-Layer architecture (Command/Agent/Skill). Use when designing, scaffolding, or detailing pipeline components for any project. Covers core principles (Human-in-the-Loop, Artifact-Driven Handoff, Idempotent Steps, Fail-Safe, Progressive Autonomy, Composable Pipeline), artifact structure standards with Todo-based gating, and component design patterns. Essential for pipeline-analyzer, pipeline-architect, pipeline-scaffolder, pipeline-detail-drafter, and pipeline-detail-applier agents.
delegating-work
Help users delegate effectively. Use when someone is struggling to let go of tasks, deciding what to delegate, building team autonomy, or balancing being hands-on vs hands-off.
drive-motivation
Motivation science framework based on Daniel Pink's "Drive". Use when you need to: (1) design features that leverage intrinsic motivation, (2) create progress systems that support mastery, (3) craft purpose-driven messaging and missions, (4) audit if product mechanics undermine autonomy, (5) design team structures and incentives with AMP principles (Autonomy, Mastery, Purpose), (6) understand why gamification fails, (7) replace carrot-and-stick approaches with intrinsic motivation.
microservice-boundaries
Defines where to draw service boundaries to maximize autonomy and minimize coupling. Use when decomposing a monolith, designing a new system, or when teams are blocked by each other due to poor service boundaries. Triggers on: microservices, service design, bounded context, service split, decomposition, monolith, coupling, service boundaries, DDD, team autonomy.
factory-review
Structures the human review experience for factory-mode builds. Audit trail summaries, PR digests, retrospective synthesis, quality trend tracking, and autonomy tuning interface. Activate during Phase 3 human review.
todomanager
Orchestrating skill that sweeps TODO/inbox/, enriches tickets through a 5-stage pipeline (classify → question-gen → research → contrarian eval → route), and delivers them to User_Review/ or claude_autonomy_plans/. Never executes work — humans fire plans when ready.
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".