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aperture
aperture에는 tomismeta에서 수집한 skills 5개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Apply bounded semantic-layer improvements for Aperture Lab F-Stop's frozen calibration corpus. Use when acting as the optimizer model inside the VPS F-Stop loop; edit only the allowed semantic/importer files, run the required gates, and return a structured JSON outcome.
Run Aperture Lab F-Stop's provider-neutral runtime loop. Use when operating the self-hosted reviewer/optimizer harness against OpenClaw, Hermes, or another compatible runtime through the canonical lab:fstop:* commands.
Run Aperture Lab F-Stop on imported public trajectories, prepare review artifacts, compare disagreements, and propose bounded semantic-layer improvements under strict replay gates.
Run Aperture Lab F-Stop, the offline discovery, calibration, and proposal subsystem for Aperture. Use when operating the product-facing lab:fstop:* command surface across OpenClaw, Hermes, or another compatible runtime.
Review Aperture Lab F-Stop offline review prompts and return JSON-only findings about title, summary, status, intentFrame, toolFamily, and consequence. Use when acting as the reviewer model inside the Aperture Lab F-Stop loop; do not edit code and do not return prose outside the required JSON.