Initialize and orchestrate AgentOps workflows with RPI phases at session start.
npx skills add https://github.com/boshu2/agentops --skill using-agentops
Please help me install this Agent Skill. Skill: using-agentops Source: https://github.com/boshu2/agentops/tree/main/skills/using-agentops Command: npx skills add https://github.com/boshu2/agentops --skill using-agentops
This meta-skill automates the initialization and orchestration of the AgentOps workflow, ensuring continuity across sessions by auto-injecting the core framework at startup.
Activate the using-agentops skill to initialize the AgentOps workflow in your session. Then use phase commands such as /research, /plan, /implement, /crank, /swarm, /vibe, /post-mortem, and /release as needed. Outputs such as learnings and patterns are stored under the .agents/ directory for reuse.
High-intent search queries and answers about installing and using this skill.
Automating workflow orchestration at session start is handled by auto-injecting the AgentOps framework, which seeds the knowledge base and phase mappings to ensure continuity across projects.
The RPI process is a structured phase-mapping workflow that guides end-to-end automation through Research, Plan, Implement, Validate, and Release phases across projects.
To store and reuse learnings from automated workflows, the system saves patterns and outputs directly under the .agents/ directory for continuous knowledge flywheel reuse.
Yes, you can trigger specific automation phases by using phase commands such as /research, /plan, /implement, /crank, /swarm, /vibe, /post-mortem, and /release as needed.
No, the AgentOps workflow requires no external dependencies to initialize, operating independently to auto-inject the core framework at startup.
Maintaining continuity across multiple agent sessions is best achieved by auto-injecting the core framework at startup, which enforces phase mappings and stores learnings for reuse.
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