council
🎯Skillfrom boshu2/agentops
AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.
Overview
Council is a skill from the AgentOps repository, a toolbox of composable primitives that solve the problem of coding agents forgetting everything between sessions. AgentOps applies DevOps' Three Ways (Flow, Feedback, Learning) to the agent loop, enabling knowledge accumulation across sessions with automatic learning extraction and injection.
Key Features
- Persistent Learning - Every session extracts learnings into an append-only ledger, scores them by freshness, and re-injects the best ones at the next session start, so later sessions benefit from earlier discoveries
- Council Validation - Independent judges review code and decisions before shipping, catching issues through a structured validation gate system
- Swarm Parallelism - Parallelize any skill with swarm mode, running dependency-ordered waves or full research-plan-implement pipelines simultaneously
- Three Ways Framework - Organized into Flow (
/research,/plan,/crank,/swarm,/rpi), Feedback (/council,/vibe,/pre-mortem, hooks), and Learning (.agents/,aoCLI,/retro,/knowledge) - Automatic Decay - Stale insights decay automatically over time, ensuring that only relevant, high-confidence learnings are injected into new sessions
Who is this for?
This skill is designed for developers running multiple AI coding sessions who want their agent to accumulate knowledge and maintain context across sessions rather than starting fresh each time. It is particularly valuable for teams managing complex projects where decisions, patterns, and learnings from past sessions should inform future work.
Same repository
boshu2/agentops(33 items)
Installation
npx vibeindex add boshu2/agentops --skill councilnpx skills add boshu2/agentops --skill council~/.claude/skills/council/SKILL.mdSKILL.md
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Orchestrates multiple Codex agents for parallel task execution, with the lead agent preventing file conflicts before spawning via merge/wave strategies. Auto-selects the runtime backend (Codex sub-agents, Codex CLI, OpenCode subagents, or swarm fallback) based on availability.
AgentOps automates context persistence between coding agent sessions by extracting learnings, quality-gating them, and injecting them into the next session. Applies DevOps' three ways (flow, feedback, continual learning) to the agent loop with composable primitives for research, planning, building, and review.
AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.
AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.
AgentOps — a toolbox of operational primitives for coding agents that preserves learnings between sessions, supports parallel swarm execution, and builds validation pipelines.
Streamlines AI agent development with observability, performance tracking, and debugging tools for complex multi-agent workflows and LLM interactions.
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