agent-opsAgent session 运维工具。当需要检测和恢复 API 限速、回收死 session 的知识、在破坏性操作前自动快照、或监控 context 使用率时使用。不用于安装 hook 脚本（用 agent-hooks）或架构设计（用 harness-design-patterns）。
Install via ClawdBot CLI:
clawdbot install lanyasheng/agent-opsGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://code.claude.com/docs/en/hooksAudited Apr 16, 2026 · audit v1.0
Generated Apr 16, 2026
A company uses AI agents for 24/7 customer support via tmux sessions. This skill helps monitor API rate limits to prevent agent hang-ups during peak hours, automatically recovers stale sessions to retain conversation history, and manages token budgets to avoid context overflows in long interactions.
In a DevOps environment, AI agents automate deployment scripts and infrastructure checks. This skill provides checkpoint rollback for destructive bash commands, ensures model fallback for failed tasks, and uses stale session daemons to recycle knowledge from crashed automation sessions.
Researchers run long AI sessions for data analysis and modeling. This skill monitors context usage to prevent token budget exhaustion, recovers sessions from API rate limits without manual intervention, and employs checkpoints to safeguard against accidental data corruption during analysis.
An e-commerce platform uses AI chatbots for product recommendations and order tracking. This skill detects and recovers from rate limits during high traffic sales, manages token budgets to handle complex queries, and recycles stale session knowledge to improve response accuracy over time.
Offer this skill as part of a subscription-based AI operations platform. Charge monthly fees based on the number of monitored sessions or usage volume, providing automated recovery and monitoring to reduce downtime and manual oversight for clients.
Provide consulting services to integrate this skill into existing AI agent setups. Offer custom configurations, training, and ongoing support, with revenue from one-time project fees and retainer contracts for maintenance and updates.
Release a free version with basic rate limit recovery and context estimation. Monetize through premium features like advanced checkpoint rollback, model fallback automation, and priority support, targeting small to medium businesses scaling their AI operations.
💬 Integration Tip
Start by integrating rate limit recovery and context estimation scripts first, as they are foundational; then add checkpoint rollback and stale session daemons based on session volume and risk assessment.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
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.