← ClaudeAtlas

fan-outlisted

Parallel agent orchestration for OST exploration. Fan-out multiple solution explorations, fan-in results to compare and select winners.
haabe/mycelium · ★ 30 · AI & Automation · score 83
Install: claude install-skill haabe/mycelium
# Fan-Out / Fan-In Orchestration ## When to Use - OST has 2+ solutions for the same opportunity that need parallel exploration - Independent delivery work items that can be parallelized - Multiple research streams needed simultaneously ## Workflow ### 1. Prepare (Lead Agent) - Read .claude/canvas/opportunities.yml - Identify solutions needing parallel work - For each: identify riskiest assumption and design test ### 2. Fan-Out (Spawn Workers) For each solution: - Spawn subagent or Agent Team member - Provide: clear task, read-only canvas context, worktree isolation, time bound - Each worker runs independently ### 3. Fan-In (Collect Results) - Collect all worker results - Update ICE scores in canvas - Run `/mycelium:bias-check` on combined findings - Select winner(s) based on evidence - Log decision in .claude/harness/decision-log.md ### Leaf Bakeoff Mode When comparing competing OST leaves for the same opportunity: - Each worker returns a structured **scorecard** (Four Risks + ICE + assumption test result + segment fit) - Lead agent applies **winner selection rules**: clear winner (>20% ICE delta), close race (tiebreaker), segment split (both advance), both fail (archive and re-evaluate) - Losers are archived to `.claude/canvas/archived-solutions.yml` with full evidence snapshot See `${CLAUDE_PLUGIN_ROOT}/orchestration/leaf-bakeoff.md` for the complete bakeoff protocol. ## Rules - Workers NEVER write to canvas (lead agent does) - Workers NEVER progress diamonds - Lea