pattern moderate impact

handoff chains

@agent_hand

handoff chains analysis

summary

extracted 1,239 spawn edges from message content (patterns: “from thread T-xxx”, “read_thread…T-xxx”). found 175 distinct root chains with max depth of 73 levels.

key stats

metricvalue
total spawn edges1,239
distinct root chains175
max chain depth73
avg chain size8.84 threads
threads in chains1,361

chain outcome distribution

threads participating in spawn chains show different outcome patterns than overall:

statuscount%
RESOLVED1,06878.5%
COMMITTED15311.2%
UNKNOWN1269.3%
EXPLORATORY60.4%
HANDOFF30.2%
FRUSTRATED50.4%

corrected 2026-01-09: prior analysis miscounted spawned subagent threads as HANDOFF. most were actually RESOLVED (spawn instructions to subagents, not true handoffs).

depth distribution

most chains are shallow (2-3 levels), but some marathon sessions go deep:

depth 2:  66 chains  ████████████████████
depth 3:  21 chains  ██████
depth 4:  23 chains  ███████
depth 5:  15 chains  ████
depth 6:  16 chains  █████
depth 7:   9 chains  ███
...
depth 33:  3 chains  █
depth 48:  1 chain
depth 55:  1 chain
depth 73:  1 chain   (@concise_commander marathon)

top 10 chains by size

rankrootuserstatusdepthsizetopic
1T-019b93f3@verbose_explorerRESOLVED10109project overview
2T-019b92d8@verbose_explorerCOMMITTED787ISSUE-10598 worktree
3T-019b0827@verbose_explorerUNKNOWN1583UI primitives migration
4T-019b8564@concise_commanderHANDOFF7374LinearBinStreamable interface
5T-019b31c3unknownN/A758(missing metadata)
6T-019b9295@feature_leadRESOLVED5558search_modal code impl
7T-019b9347@swift_solverRESOLVED4854deletion-service ADR
8T-019b993a@verbose_explorerRESOLVED447obsidian plugin
9T-019b3786@verbose_explorerRESOLVED536linear CLI naming
10T-019b377c@verbose_explorerCOMMITTED536monorepo tools

user spawn patterns

userroot chainsstyle
@concise_commander21deep marathons (avg depth 33)
@verbose_explorer17broad parallelization (avg size 50+)
@steady_navigator4moderate depth
@precision_pilot3-
@swift_solver2ADR-focused

spawn tree visualization (largest chain)

flowchart TD
  019b93f3["019b93f3<br/>RESOLVED"] --> 019b93f9["019b93f9<br/>HANDOFF"]
  019b93f3 --> 019b9509["019b9509<br/>HANDOFF"]
  019b9509 --> 019b950c["019b950c<br/>HANDOFF"]
  019b950c --> 019b9510["019b9510<br/>RESOLVED"]
  019b9510 --> 019b9555["019b9555<br/>HANDOFF"]
  019b9510 --> 019b9556["019b9556<br/>HANDOFF"]
  019b9510 --> more["...+97 more threads"]

observations

  1. @verbose_explorer’s parallelization strategy: spawns many parallel branches (size >> depth), indicating coordinated multi-agent work

  2. @concise_commander’s marathon debugging: goes deep rather than wide (depth 73 on interface design), suggesting iterative refinement over handoffs

  3. chain resolution rate: 78.5% RESOLVED — spawn chains are highly effective at solving problems

  4. orphan detection: some chains (like T-019b31c3) have missing metadata - possibly threads that were deleted or corrupted

  5. optimal chain depth: chains with depth 4-7 have highest resolution rates. beyond depth 10, resolution rate still high but complexity overhead increases