executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
agent-expenditureTracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
Independent GitHub snapshot · Automated classification · Original documentation governs
name: agent-expenditure role: entrypoint description: Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run. alwaysApply: false category: resource-optimization tags:
Dispatching more agents does not always help. Coordination overhead grows with agent count:
| Agent Count | Expected Overhead | Guidance |
|---|---|---|
| 1-3 | Negligible | Dispatch freely |
| 4-5 | 10-15% | Acceptable; plan first |
| 6-8 | 20-30% | Monitor closely |
| 9+ | 30%+ | Likely counterproductive |
Coordination overhead is measured as shared-file conflicts: concurrent Read/Write operations on the same file by different agents, as a percentage of total agent runtime.
After parallel agent runs, evaluate:
If 2+ questions answer no, reduce agent count in future dispatches of the same type.
See modules/waste-signals.md for the 5 waste signal categories and
detection criteria.
conserve:token-conservation for session-level token budgetingconjure:agent-teams for dispatch coordinationmodules/waste-signals.md checked against
the completed run; any triggered signal named with the category