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Run sequential performance benchmarks with strict duration rules and baseline management
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Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is unreliable across sessions โ forgets context, drifts out of scope, claims "done" before tests pass, or starts each session inconsistently โ or when creating or assessing AGENTS.md, CLAUDE.md, feature_list.json, init.sh, progress.md, or session-handoff files. Reach for it even if the user never says the word "harness."
Generate a consolidated digest from multiple information sources
Track and report on progress toward defined goals
Review the agent's own recent outputs for quality and accuracy
Generate changelogs from recent commits and merged PRs
Implement features on branches from issue descriptions
| name | perf-benchmarker |
| description | Run sequential performance benchmarks with strict duration rules and baseline management |
| metadata | {"sources":[{"kind":"github-file","repo":"agent-sh/agentsys","path":".kiro/skills/perf-benchmarker/SKILL.md","commit":"ac6deab8cfbcbb2f70aec159e60975a88c96e6ea","attribution":"Avi Fenesh","license":"MIT","usage":"referenced"}]} |
Run sequential benchmarks with strict duration rules.