Consolidate cross-agent memory learnings into actionable retro summaries.
npx skills add https://github.com/mkalkere/agent-coordinator --skill retro-mkalkere
Please help me install this Agent Skill. Skill: retro Source: https://github.com/mkalkere/agent-coordinator/tree/main/.os/skills/lifecycle/retro Command: npx skills add https://github.com/mkalkere/agent-coordinator --skill retro-mkalkere
Cross-agent teams often end up with fragmented learnings scattered across memories and references. Retro consolidates these learnings into a single, actionable retro, reducing duplication of effort and accelerating improvements.
Run weekly retro to consolidate learnings from memory and publish a retro summary to the shared memory store.
High-intent search queries and answers about installing and using this skill.
To consolidate cross-agent learnings, you can parse and aggregate memory data from .os/agents/*/memory directories, categorize findings into patterns and anti-patterns, and write a summary to .os/retro.
A weekly retro scans agent memories to extract learnings and patterns, categorizing them into gaps and tool insights, then propagates high-value learnings to shared memory via the coordinator.
Yes, retro consolidation works in both framework and standalone modes, parsing memory data and writing summaries to .os/retro even when a coordinator is unavailable to propagate insights.
You should run a cross-agent retro on a weekly cadence or after major milestones to reduce duplicated effort, extract patterns from scattered memories, and accelerate improvements across agents.
thewoolleymanConsolidate fragmented memory backends into a single AgentDB store with HNSW indexing.
rongaredeRetrieve and inject persistent subagent memories using BM25-based three-dimensional scoring.
DicklesworthstoneConsolidate coding sessions into a persistent cross-agent memory store.
mkalkereDiscover agent-published artifacts by scanning .os/memory directories and parsing YAML frontmatter.
