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We present an optimized galaxy cluster finder, 3D‐Matched‐Filter (3D‐MF), which utilizes galaxy cluster radial profiles, luminosity functions and redshift information to detect galaxy clusters in optical surveys. This method is an improvement over other matched‐filter methods, most notably through implementing redshift slicing of the data to significantly reduce line‐of‐sight projections and related false positives. We apply our method to the Canada–France–Hawaii Telescope Legacy Survey (CFHTLS) Deep fields, finding ∼170 galaxy clusters deg −2  in the  0.2 ≤ z ≤ 1.0  redshift range. Future surveys such as LSST and JDEM can exploit 3D‐MF's automated methodology to produce complete and reliable galaxy cluster catalogues. We determine the reliability and accuracy of the statistical approach of our method through a thorough analysis of mock data from the Millennium Simulation. We detect clusters with 100 per cent completeness for   M  200 ≥ 3.0 × 10 14   M ⊙  , 88 per cent completeness for   M  200 ≥ 1.0 × 10 14   M ⊙   and 72 per cent completeness well into the  10 13   M ⊙   cluster mass range. We show a 36 per cent multiple detection rate for cluster masses  ≥1.5 × 10 13   M ⊙   and a 16 per cent false detection rate for galaxy clusters  &gt; rsim 5 × 10 13   M ⊙  , reporting that for clusters with masses  ≲5 × 10 13   M ⊙   false detections may increase up to ∼24 per cent. Utilizing these selection functions we conclude that our galaxy cluster catalogue is the most complete CFHTLS Deep cluster catalogue to date.

3D‐Matched‐Filter galaxy cluster finder – I. Selection functions and CFHTLS Deep clusters