aliyun-fc-agentrunUse when managing Function Compute AgentRun resources via OpenAPI (runtime, sandbox, model, memory, credentials), including creating runtimes/endpoints, quer...
Install via ClawdBot CLI:
clawdbot install cinience/aliyun-fc-agentrunGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 7, 2026
Deploy and manage AI model runtimes and sandbox environments for a conversational AI chatbot, using AgentRun to handle model lifecycle, memory, and credentials. Queries runtime status for troubleshooting.
Create a serverless pipeline that uses AI models for OCR and document classification. AgentRun manages the runtime and model services, with scripts to create, publish, and query resources.
Build a moderation system using pre-trained AI models. AgentRun handles model service configuration and credential management, with endpoint endpoints for low-latency inference and status monitoring.
Offer isolated sandbox environments for multiple tenants to run custom AI models. AgentRun creates runtime endpoints per tenant, manages credentials, and allows cleanup via scripts.
Provide a temporary runtime for testing new model versions before production deployment. Automate runtime creation, version publishing, and teardown with AgentRun scripts.
Charge customers based on compute time or number of inference requests processed through AgentRun endpoints. No upfront infrastructure costs.
Offer tiered subscription plans for isolated sandbox environments with dedicated model services, memory, and credentials, using AgentRun for lifecycle management.
Provide consulting services to help clients automate their AI workflows using AgentRun, including script development, integration, and troubleshooting.
💬 Integration Tip
Start by running the quickstart script with proper environment variables to set up a runtime, then customize the runtime flow script for your use case.
Scored May 7, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Local Python orchestration skill: multi-agent workflows via shared blackboard file, permission gating, token budget scripts, and persistent project context....
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.