I’ve been running three Max accounts for 5 months across work and personal projects. The main bottleneck is context window saturation. When an agent researches, plans, codes, and reviews in a single conversation, the window fills with irrelevant data before coding begins. This causes inconsistent results. I solved this by treating the agent like a DevOps pipeline. I use isolated stages where every output is validated before moving to the next gate. I packaged this into an open-source plugin containing these skills: /research
- Explores codebase and writes findings to a file. /plan
- Decomposes research into issues. /pre-mortem
- Validates the plan before coding starts. /crank
- Spawns parallel workers with isolated contexts. /vibe
- Validates the code, not the conversation. /post-mortem
- Extracts learnings for next time. /rpi “goal”
- Chains all six steps. For a quick review without the full workflow, /council performs a multi-model check on your PR. Hooks automatically enforce standards by blocking pushes without validation. A Go CLI handles knowledge injection, ensuring product personas are active at every gate. You can also define fitness goals in YAML. The /evolve command measures them, runs cycles to improve metrics, and auto-reverts regressions. Try it: npx skills@latest add boshu2/agentops --all -g Run /quickstart to begin. Works with Claude Code, Cursor, and others. Everything stays local. github.com/boshu2/agentops Feedback welcome submitted by /u/_Bo_Knows
Originally posted by u/_Bo_Knows on r/ClaudeCode
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