Giter Club home page Giter Club logo

aug-ui's Introduction

Aug-ui

My Aug Cell profile can be seen in action here.

image

Main WA pack is customized version of NaowhUI so can't share that - but can recommend XephUI as an alternative.

Cell profile:

!CELL:221:ALL!vZ1EyUXv1DllRy71eIFMmXKqMSbNij8UEx5hXrjoP61URS3DLqsRnXpqAK0ODMSJ0mzMr2ETj0YcysPpODlnLs6JWsjucfiDBieGqGUnnLhLYnlPb32pOKTnPnfAEyE1pE1Eo37mJgPvR21b4pQ(SKgDM75Cp3Z9Cp3FNZCx75UVA9XfRjQlO8dMYqs9uzvvuL0RiuwmvDZcABvsUSyovvftznJK1IPwTOaqElckNsysJX0klykgxSy9kvmkmxvXA1tRAiBkRwBgtvT8fvnnvRQTrtlbyFZJot0u5YLAKHtmqo94IveQRyQNlvA83EUMPr9iTGU5KsliwtOOIJciPTjuFIQiFMZiOxM2McZxrxOQyADzvDzZj1Ukdnvtf5XLmZxtvVQGs(7SUCPjemmKnmNv9KI66GigEWbKkQOwAcXYsABTUHymfX6djkOykXgu6sAB0DFLrqUCHPm1fQzOiBkDHY0bDufHstOac(hTo(ZXT678Q58(SRMZR6(x3ZC219mVzop30cCRz9VmNVV)1X5DhdYT6FYNNZNqioFAX489TxlN3FLVXcLQBagPCIN2SUUOrxtzutwtt004vVpDH6MQ61RjfTgmc12CS48jlPwJNQtznNurmAj1YIN(AEKE6HVOLIYBG3GVeyYkREQA8c1KRkGg9UGg9CVVh65V3h45UVp5Z(OV7N9EFSN7(ENDbgbbf(yPgovM8rtLjEc4RBpF8KztNy485U90j4paVPEDrRggptKJKpr8bDidI9I8fQi2Zd8SrVXRaPW0Nba9iMOIsVvQxRKHfXK2eLhWf102u1KpTOsAr9kILmznWQfOmqtfFubD0sNpRO5aQ1m9tDX2jFf46(zFfkqx8WRKHBQj9AycoeqlO)WeMthGXz9AAWn8tfqG2ZA56605PoZDiGBXAL7KghZAQ3wRbDs3CN8nKpZ3n3KAWnnz(D7eCyQxdALUyfWlusU24mTuUIdJ8h4a89XBkjwJEh8fttT91cpemJ6pql31M92Ex0gKTKUSMP)UtvJT0R7DYxtwH1qrfdrhoydztjubHE0HoOJwwFiWrCxAl6G2ScV8kDBu8SGyBPfGlCDQY2g1bF5qf85SLJtdWbfkHkc4fQ681QxTOOENus3tRTmFgOJ8TIuDiir5gtZNu2qUOmeLBYM4dSY1unBNLErw4LFY32mSKtD91EP2r76kF6BP76B9a89V8D9Iz8vOsGZg3cF)xKDgFWFUg81A4R6(6Lz90ImkwrGQAUyhWLyzTD0QwuOMfOUyvb5AUMF7X)GIM5KRc(p9q99Bp3GwBX6Ty590qu910a19RLru3QRzI26vSuMDqJHiR(7U7aljl6IqK32lXlkTfCHkbO20xQHcDpVtkOB0RmSdH98zmKfJopOCBs7Kuo2UpXX2Zj6SSwAJevg(xo53)j25YQdHwbTz3NyPNrScl4mM7SsfIoOBSumWVenaHwbgGqRadqOL3a8lNbq)RGbq)RGbq)lZayjw40XbwNgunFVE13zlTU3XxeLIb(fYA6ky2lMlB8P913YeyQkfvNvGWU3r5QDB)7DTV(U4nwlzaLmaaYYJPTcwe0Qgbkujrzf)mA)C4DU8XRIlwcshsz5vslfLQG92FLU7yJxwfZT0kVmYAjCt6O39fJR1I92hG6PzkwMULLRPNfHBiWIaoy)DxU2aFN8WIII2Pp0PulP4oDYgP5zflXa2SKHbaaXDAgBHzd2AtMcn4TVDs)3I1vhCkrHuRkRRQXeRfN7KV)anAg1fYoUaKTKFRSMC3eAMFo777NMofdilaW35x9hGoM7UBhQbCRnnaR1LJ)SD(yTlZlHXdNwryslEWXhn3qNSctgoMUiG9kcmBN3kfr)1OzfQjOlA37wi5qrI5itzHM6P)UPFHzK5IPDY3TTrlNyvnfeCN7HHlS(yCmhaHYNr0F)q(Z93FG2pf4)SfhFazfuj6ozntidDHsIh)4rRBAQwZ44h)idLmxI9F6939DfOtZHwZ5oZHUgJ4ePnKAlBJ9Ckoc7T3UrtemE7osMChjvMd1DRUba34xS5NgUfq2z6L93xV9hc65E3)(XpTVMjI0HtRkdz7JmbY3QCxDBT9rtuaBup93wUy1nltYbhYnNntTN(Dg5G53whJRlCQHfMuu3VZqRDgiN6g1IFGD2NwUcGHYffB9WMeLN25A0RlXBFj9UUt0nIIcDmBW28nWIAqgXtkQBaRcH07B(U9wt1whIXwYXQbayhklBGLsKxTAn5sLwKmrFwkliHrP5JB0MoW2sMO84I(DQf2ISIo1UzjxojRyz2CBDCZMZ10778RL0a1ulOxmmyMu87O5d2e5aV(fp3tdH5URTwHGfPkRPoedYpvV7o1HtKz4i3oUmjwIHho)aPgnx(S5IKBSSDVOyIGaPFtP7eL8G1nmLRm5q(7M522S3Uvz0WLe2E1UkhMBY4sSfnqAuXQFXnwCjZMY929gPDEq1OaCTSG19qR570y01UcP4s7SkLiOCTu6YwnncJ3s4Vi21hEqD16A(DpKPTvyC3(19tP0kR(7ohTW40FynQn7hTiPQuXq0eJiVx3KTHJHbmBQ56LHaunrkBvvvtC)p)DNAmBtQL2eALRnHAwB6zVUP3g1jud1jKBsUuNKJ2D7MhI1iexBkkRlgS3KUXE)zr3E)yvxc4UymiHfJy1APuZ13zrirzTQLQV1wWBTrFCSlnRsTRIDuLC5v6ovxQLQISlAm1PIkUuv(CLmKz1PkTRNoGlbKoCgrdebJRyU201ORVxYBGBb3o626A7UhDERD3O5Y(20WHvqj2GHbe8NVNntX6YkM9ix7v(tNXXaZwI24jte4IdYrfC3RrrQbAb5XYH64IfXX)VbTrLvqSgQpWaHtciPXaKkkJvt20cnTFNIX6QEfOMZEAUnwSdjQidYhbv2hFz1MwT1Y0AXELRvwUKGPkK2TLGoMClLRrsvDcdXsaKBudwkEG5vxJe31o2quPYR4hQ1o5LnIkpolzYLSoYUAtNRuq6W0KAyQu7gj9wuECSj0IF1XgeAjQQvhRTWY3)SNbENvbxTzj1IwQWqBRfqtLCWLFZEB1TH6MvrSMH8jfnUiCOSyX(2l23cemm1lQxtqzLlxBo6OyfuuwXceAB7Lvtgk0e656jxPe5Qo9AUbOlSFW)8LeQXxueSG1RvMxWKxY0uZi8U214YMs1lcr0QUlGzqNfNqDxyDU2LPUO4UQkyadKD1RTCWy51ne57Ex61RrRhw8Oh7gSV7nCIJ13joaGbMpJOIQq5Xs6pq38MQWIfaJe42lByRr4(i84rcHxTUjFDigcS1agebxRiPXRjQxsec)Dl8(zpjZW89H5VYWthjEI8aYT8dLiYW5gkF6ezILy0CGNb03ujluUmVr9Qvr5brWmqLaqczw3GDChCSS8(lcMvrHA4kAtbq1vRPmPv)KDSrgj1O5tgl1OzZNy0irhorCeQl(mw7Y2uyiQjGHc5pLCztjAPyKeXZkc1DLDweC1Fm1XUxT6OmjILlYOdo2WrYKp2yzb065toA8KXIKlvgw33u3og0TWEatGznBa7ndDqCQYBCT8XfQkmUi)iIW8MRb3OqZZjmEp93BF8kYf1f0ThKJMm2HYfzW2o(IaMXeNuDcqugAWKnFmH6GCLpdw7ObuWSkHT4uXTMGBZxssS0eU6wREWQ6CjoCQdLagFrglxImjpAYrhm)adhzKen1J6IvbSc86cYWeiG9qdwvthzSHje5K36K)WRsdKYJNIgBFNw64CPsnCUKPbZ7iqkz5Zejz88ztKBS05JNixKKd3SvTOkcnh9sblROHr4MClX5vATAS8hT6cRAqMn5rXXr)mVcxSzju6dtJ3)zDkfOWDTt(f7yBjnA5nbXD2gvD6UOsMcaMABGLq8qSaq0OtaV)UpCIHsgB4eyoNJcgv7d8aZpEOuhHn6tNix(uhzuOpgLz5Hgnl9WmfHEyM6A(skWpIbl7HPyJRViBs7Cp(XchmJjSry)fHnjhx0K9RqZyQo(4kI4P0k8SiLEGTeRyMjd1DHZ3BBdxGDSUYr5cK5HF8JnLfsMYVNJrcuec9altjb26XjbEiGW7b6ks3KRli51r2ryY1tUbumKGbBqDRhVDnzA8ixrfwHhQTYqBtgvHD4bm3111fP78tcKjEMXsg)E(Qh0fdfPJKmKByDPxdL719eVbsq3TG0Bt38j7W9i7Ke4R1P77VI5rjb(QKaKGKaFfsGNeApjG5r7apFLojVxFH5lPREQYXGu11vvmUEsGUkYId1L22CIeLwx8KYINkIIMKqAV917ENfJmvVkoZyeo464ozWnhjmEN941tqoFFOu4V9Ie6N(bq7dNoy3X2DyVE9mhDcpJ4Dwx0W8E0zNXUYs6MYvfHi8BBoylanq(IiAQURkwK2EJGNB2XvupvknCYWiyg6XO6mheeOxpE2s610xVH27M8ffNpIIR(0PSLS86UHHNgquHjtKSwHIiMdkXPMqCYtbl5mwiT6PGfhjRvPUbopFZCRElENgfbTEU0E4CK9hKCtN5GE861DVrctUzYTSU78fihOa5wXVVTPtwdwQDsikpvqAKiuMahkjbDXY4wkwdH7iAryt8BCwx1CHKWJNlmrny1Aw6yofSbdmfHXktwjXPHvDgfMxxutzs7D4lOTraCPdsakdzWWEgviELMhJcevW0ureCLLMTm0HsyQC6MbL22SuiR6cyG4dknVIyfZEmv7rh3rksxzGfatyCqjPIfvnLYl1fmViuEYi1kNUUIYbLMfH5MNf7kie5IEmkVS242KfYYs0R2gljjuBCyZ(XnomqvS8C6Hc1Fp6IquydrDfHjHjFWdm75MPbyM77AEyYEkqcpLDYGZuXPiIEZqdvgC2skcgg5P)imAQ3YjfHaZkIygB2N5ZGHYLkTNO4zylCMrfupL0vQNQUPICnrY2NgBjpwj(P0SA)bjBGSbpEM3rvWMmvnAkEN28cODLwXkw2tstJgJJG7QhCgl8iWwR01k3pzpsGFYTto6bi5dphceI36qNEffZkjatBfP6UX9ONAGbgo5OjoOx0bR)BI9P3mdouQS5AH4uXtedBB8wPhjwSePZb0Pec516ROXtezrTnEMKJEiy3vR2IFEJ71R3mdKi5GJco(w8QNobaXaAMdLqrg4qTimsPGfzUYEiLNXGIGcTvlW8blnX46iIYcKTpRf8k8U0tBlE6A0l0Wq5JCmCIemxe5TrUdGd2zJLYbP0bjVPIiiUez8C8vb9Le9M49kYEQ1eRtQlSMPQM5KP0ha8yluXw(BxBt2YZ(01yqkRTrl54qBgNdFJX2dIJYDV3dcR(9oTZ((EpPJmN1fMrQksEtEULv5yjOKp62II1Wj4o2X5C4B6mamehUOoDKYtbbJfrAZIxy9iIoijR2UB8CPaaxPQzC8ekNCSKhpMQU4XhrSSSWXTpkVhpNqTj61CCbT9ErWeAye1PSf6IGT4PZI8mlA1zWk1LiVJGxXv4Yanme(aJZ6AO(OObsHshjphDsZ(yEt5VcD5pDsBJzW4p8XWOHmPuEbAijkfMb(lcmDTxBdRR2MPy(Oa59RPGpaQa2ZoRf4NrcBdJFFzeOBYHleUrqwx9vVeYIbTXwwFNvHcJrZLWiVhxcQHLy(iJdRfaeOq0Njc4AAFgb8grrYKJUwGRTTnx2pBUeydH1d8CvG9Bkgtc6KJ6fyjW6B4NVGnluKLbiLNL1w6pjtTwYrVS7X9Io6wDKTptwjzrLYynDyD06rLdwPIubIABbt8bRWzkS2uuYgsfzPY4Q7NnIAcE0HcWYHdovr7FGlV9qUVT9eo9(2GfGBArPct3)YPY6fi5dEgI8vqeMY(rW4ZlgOGrKKW3vTkACdyQkHLO4DKfmuYW2K9d5BdZQQlJXOrXopDdpCNpChWqauBFZ5U6YOJ8vgOzvDZlUAaK)Sg6h5dUuk2wIBZytAwu8rVs(y7CvBG8NtgL8a(iFK20TZ5o1(vw)D52gcd(xpVtFJDj5J1U(ZL7(LJbq4JaGFbLDeyxXXPMdl)1TaUeAB1eAcRfUAWXcsoEygejywgCSaVYl9HDgixJ2wOMxAIGigpC1Irbqr(WKTRZitvWeaCO1tkRZsz0yEjyEI(NwbY08JRlugNd7rsqPYfyTrbHsgDYreXGhx5v(CyF(aRfvbSNFejuySQoTISE6w)TLmlDtkwUKsudgBzH31ZmBbFnVMGx3190oJWafzR48r(mSMVS90C0qlwDhk9ZsolgGAwmdoBYpG3lyVWlNQ2GayyCy2tpnMZMpTUmc9KhpXfgUc0nNg7gm6hD3AB2fbBi1fWXYo2rJ9HfjpQpsEqzVYgQoz7xGLGMyzEgivM6UHl7nVkNyGILz3IT(vrH9lu8bc0iIZ1GXbAKKaD7(Rb6PTVaRh4P1Owu3ECSbs55zY36g6vaqHqeO9fsdG8bFOvaWyywwvvxQXcNa4OyfnlSqmmziE7SHSNhapDYUqVNhyTu79HBeHlwJ8GGgfcZLvSS3731I23b4CatmJidjnxBC(O2tWwo3ZvLDdgDOdWvbFHkrhr18if6os0cHsFKbkmf9V2h0VoAuvZOf6oA2c)awNCZKJUHPeGzrCrruSDKpsHmibJTZDjrE(ILGe0JojKhLJlpoBw3XeSn4xN1YeqrJrFmGfqD8ds(G0TLCab3)SMy6crNerdlb7uaq8nkbRcljcd0(7)PP7whfbddQf5FK80t580Yki5bYbqwhaMxM2fa0zWL4Rt1YgZ9xOHiDG7Ti9iezIWO(IBy5bXK5HCEyeE)mWchd7yBbpXDKXqvrU8b9o0T9cRAvVw4FE8EqGdVHHehrbqrPJczTuHuuOwjjvDabjfoiSDBpLWIauZK8ViHWqCPG0eeDRy7EweLR2au)Y3LK1RO4Pz7PNYqtOemvF7E1b8(1RwZyt2KEJEJcEEgBcmIFX3WCurKLDhptJiaPpj4WrZfz0dvelKzIm6XJmsKbtKH8VbbIkf8PUuZdmJbKwx0jr8KquNPGTMnbLszAnm9wS86(McXxLvuPI00o)zQ9eOn759s(2EZGfJYOlqA521tDTlyatXixrmgb0Emo239ci)PvaeHiOyeIh07ABdBzeDDm7UQGzYMHVNp2WH2)mlIXDVXzH8qYn0Hgf3j(6jVSe5fL0pseyN5uzS(zMmPgCSes6PJmCeiRJ9XOsEjPO4ig(m1OhQbrDRQzjveqeKiltMVKuXSdbgOrT(vOrthJ2ndNk2HKavaKXqJHzqy1NHsNiNePNgILCT2cI1oPfahHunaneCgWhr(mqKcbfPq10kr3F75x7u214vI8TxlyE2a5hvG8)GBU9DjL6IztEhNiKMO5dJ355xl0S50W)sctyvhektq7CyIUhGZDr2NkUvvXoh5)8Prz8FTjS3(oBIExY)ThYleM8IKxI8YmreCRxA8xhvUxGoT89Li)hooNK349DvpSnkBac5XcohRcqnYOMCIGq4x6A0xdMogPO7qJIKksKXdsKyPpE)oY6auoUcGJjUhIsRPlwTvc1ALGAlPWs0ATf3zljUs0BKIkXW11MlozvsDu5pjb2eD7KttMSt5FsodBpOZst4K8Mj3frI8wCLrj5xfi)RrERnLNizkm)qR0xiVn3zfsE7S9gOzcA3IZ5kvaY7KC3qcFKFDY7I8Bq(nDsMYUT)wUtHI8BtE3TMUe53bO)76kJiB6t7cwa53R1SuAGLG877o5gY90M8zSf5FGBf)96k1f7g8h6oHfY7BXzQqUxG(F0sNsc5p2vMiK)eYFQe5(wVRb77hOoJ70kk4aAM8bwry9i3p2dFim5a6EWnbb3L0(lwzs7JUKiSBcrp5JVYe3d2ja72gH)sxqZjZUKWWlyJ(6VYcZn5HCbiH8jipm5tsEehe0fAgbn27Riv(t3aKCzYNcrc3mw5cUqNTsHjt(SUWgtEmarm5Z5Gb22m85D7G)xdGDjZ5cABHobTL834gml5Xj)TRymRKNWfmvYFh5lSpYxuI8Lkq(YVIGIs(77a6t7r6xbXCs(hAdEtYx19ukPbWsYtsrvsMVa5RvG8uuKKKF8DVrYpb2VRa5flq(P2x8)UpRlEPcKFwHZ7zvWBpnODEpRgE7L2A8xRX5kFW7lbEVwljDEpRRaDVvBPDTonD9fi)aRDoXDW(HDTKBzEEpDf88E2G0598QBSZ559CzlE)YZ7zJswS8QSK959CPDC)yTnYk)CK6MQzpLSzjPkp(Xo584gV5LRzaz5ws88E2ug6g1WfayaSM6SkA2)EbkZrBRvYhytXJQUaCbD378vNeRzyRCUN(akKx(KN3ZwjzpVNTb)68EUC8YRGEjhE5vIFSDs2TECN2HFC50wCf4LC0lzTdf4l1CdPYJ2o3I7Hog2kkNw9ltGSoMjr6Nur(IRerALeUZ)Re0L2wvzPwspBuoLI)1Lp3aZu0(iUyChR7tSFoVFKBMZ7UNd((JZDjVQ3a8E45zIZ6bfr3y6t1fzVBJSVqckkqek6tGWk51ZS5i09CJGbaVkikzyY3GS)GzWJDJ4DCqgk)9qF2niCFFZ04eGGp0lsFDnTZr3WIWfk38FZhNlkK6s99TzDpBECVBUOxSuf4JUyFBUiqHk)nRJFTVmrvG0aHw6Lrp0MlsPVAwt9WA2(lMwv2qTwd(rzNjwDDQm960W9LzeHXLlXOz1oQyJwtTMyZYK8yDnJGMMiGbf8zV7TRTn7Pa8KhdW5zhcvpfnGm5mfkosI4jhBKlG5l66rtDyTTw29F4B2OpVq5M)dzYZ0o))7a5B6CtR)uSKwOjzyeEXjCPxCC6dv0Bgd6djAw707Pp3THUTV2xVRdO9b(NCUWZc1nehwUiwhr853knDL6yjXWhdKe9bqgQXhlyxHi7Uh6rwS7B0dTT3OxpZO6ubtP5ae(o1ASi7K2QBDwUYmIOIICrwldkbJcQG2ZuapSUN0x4HUThCJ0xdDBZUz6lNlAu7kCoW70kQggU47BrWxp5q32x(EPVg62(cC4RTVqvvyeJkP9ZI0RNzbkdcRNWz0cujXSHZqF6EmPwae63CRNDvWRfFXScLkzBwqmcGH(j3018Q2ZF9hMoMwat8fsYfsPLM4UuJH7fGaCPQKbZ0lIDDY3ZEPpaMifH0plIMMg7oIFCtOjYsbPzcY62zPxBLIbDYOXhABU5QiHv66oYqpySu8(30EB85Ud515PXon90jGhiHUkIp6rdrYHBvwddXLUV(588(heEF7CEdVjUvFH4CR(7DwUv)cBMZ7QEoU18SBLZxKhKBnpZFl3A(o7JBnl8258X9SCR5FphNp9BHZ3DgMBnFRNHZxWpgNVBDnCR5LFrU18pVbOn7GZ3M(sC(E0BL7s6AkoFF0hdE)g589zUkoFF2NI7sETVfUlz)Va3LuAeoFp4z48n)qC((K(4895)0W1RHZ3d9E589iWV)O)moF)RZZ57h(T4895(XW7FkiZ3k8Es464q7VwoFFDZPQiRBycjTl9)n

OmniCD profile:

1M1AVTnow0)q7uW3p(460hBbM6wmof7m7hmGSJsIqTTcKLtF8RFpxEPiLtsBgeSBh0o0s8sE5955qTwU(Y1REx7H2HMD0WX2VnEAO9in(4yZ4PJlAgOFS4DRx9H2D76wVAdEsE8i(Vvx3Fy8XcC9UMBwV6JF(YF)9lFdpP1Rw20)1BXe7(r76LYajD32(dP5)etqrtO5W2B7FULCKvLp1mm(DAQ3nnyOP7QlE9kAyWQxVy9kz0RKgAKw6CY0JKgb0gAKqPnkAumM)D6x6GnAv8tcQalLpkS(0iTY4sZxjSgwqP1BfPrkt0B4D2655lmScO0EBAGqfyLtg18QhK5D2jIrlV2kPojVlAslTwReU0aVW5stYzYRTskdz9uO8rnVcrEFTtMaO2U0b3ItaRaUGjRT4We4PhuoFwqPNpvcVLhPusRlPQgVpWc4cX80KSfwPDEFAdcbNYMTqcppDVrzLLDNSFWxIiXHgemDCYnIXkAC7HMn7AVIM)4WPdBBgBFpcIw2ShXmM1R23C4uZUp1)ib)(63AcyVKqv0wPwJd61)g(NvFB9BTgJZA0qxe2iPRP3KIQgAVVD4y7B72TB9geCUTzxljGWOHl1QGbZgjbqa2QJ9dJl((6LQ1R21V9lSEE8oKUC53VRLuJTNoo2VpDEhA22HeVf59H1v9doKp15rp)8iCHGkQcrNOEEcsRwhJikY6SHqKEJ9jpp)e1SF822b6Px1rpppQzypnIpdQhO5YxQ7rE2XjGSbLv7066XXfKoDWldUG25e())5E4Z9MIZzt90UPyc2uDJy4D3F34q3HV0oMNczVOP0F6Wy7Wfxq)aXZTdhA2962RBpCS7(20dpES9W20W5RW8PST)EyspmYJpC80EY(s)Q)6ztJSKNT0D73F6qhQcMF5hW6SVnToZ9zMh4ZUzO)R)E71Jj7sYuUucBvZ37pbHqL4UFG6UWUS6UH(BqRIubFYUFB)xto5npWG(4d(IhQUPe(Q)4Pcrm5qeRsl8gTnkeOuCyweVd(BVav0coHYPm1qK6PvqRYtT8I8Yh8OUM3l1rLdvjd1L3lrAKXeJcehsvnFMiWLIxHsY1MI)7URgVfbEcbBR(dSXx2mCt74hAg(cDS3CZf9765cEnBhHHj970plb0EN3gvCQocOt7p5Z(8DFTziz9Q2XB7UQLAf(LP80B7U52D4VJ0AEZU(VU401xt(P0EwI0wmp2kl6D9h7g74E1B73DA)HJiYqqTAV6QUd38N4ad9CCSzlAGF5h)0V)M3snIreccQRp401Rx9MD3)53x6StV7pE)7(xxM2vm7)A9s704)mLQM3J)I2JXZDGlNQD48oHiIwRORQMA4vdmecLXAKr0M3JjqVHSClvVCr1VCrnVCrTVyrhZjLjhnvzDbd2XYOvSkGri1lgaqSuqCbCeGOicPU)O1i9MPE6aGGIb7uXAGKgjpzTejQ00dsOaSymKGyqWOjMH1qfZaH0oPYLME0XaskyRqSpGTWQe0PinlBigy4ocrWMFPi6EaYlfqDiZO)YyWMWqvWIvWSO9kHjK0HG3z5ZmapkZizSkzAVR4XMbgsqsZplyKPtGb9ZYgovgczfqM1bFeTykFWWgou(YN2ktCcEhAIl4xsP(PNbqkwfBOMWPvaZvHKzfaLdBRbUMKIzO6xSP1ltg2FjKSmo4cUuyBezVGb1It9)qtwD(84LSV1kv(CusbUnkxByn2hy1Rcef2el71C(q28AJfvNrN)uOW1oRE6GziDK2GcY8aGfZhanW8LHOduEPqmaToWgyPq4Y(Vm(DtmWYhnS2GI)UC4HWYU9kOwj8aICqAiOtbpfW9YGXLpUimkRQKPo9sLXxW5NpBkDuWHToyE8z9sgYPpgNpZnbrDSLneT5dxYosBVjcuutMVCMrukft0ASzS9iHJt4nEtifqrWSYPnsagBk9sYmu8Et2jcazMSPLply9TQmJH4uMn2r2du54enkLoBa15udOqg6zzgHC)OBP2JRkGqOUMx23VBS7os6RApIwRdaF5)m1SKE2E0S7nhUfDwqhWARy5RmPEydDa)ctmKH5H2XpelYsK1oR9hrtTILAjYyMbplj(JX3qpovY9q)H2)d(7Q2Xr0)I3Q8)E5zKtNkhv5qnXTRsjvd4oIhXdlh5(CuNodB(MFnmChkORO6PcpcpIQ5GGa6luJd5xi9pkNbcQIdqnZUdyypcO4VgC4MZXcoby38tOtuHgOMHZl1zFou2Nu2Z0Y)oqCFoyTplk2jehETYJ)Q82uYMLzNLAGdtSe0Fa7nuW(xGIDo4Uxo0XFfwyNXGkqurlNbT)uvL0lPgcsNsJ6tAJ(NJf(Xos5FdaYmQ261s9Juo0U2TJyTYxUtQCWNGxlXs9biuzCOFOFOD9QfF8Yl)4hy0NvKRvSQZF)eCv2SmdeQGE23wEA)7tvNsYNHVox(6XLW5Ebcx(nOxJmM7SepsR(ziArpfIRteDsjitZsddoeFaGmcn6s7mXj7FfrlGAGMBOjasJdQ53Zb4d7OOau5x4zAmNJOfqirujGxyScX0AtIAcsRfnFa)iuuFMOfUzbFqIWbGMeiwuX57Q1H1Z4qPFPlXg)biAbEwOTgG(uHMzUz7AK0xaqu7IY4mWWUYUcsza8g6hfTY5IsxwGfmcHWO3tOeMU0pjQ36aA2Gf4kqO8zI6mEnbJaRk(tr0qrH9W07JuppQKyr0LOP8RKAn1BZtEniuSiuuh1kWHK6IBN5rrDFGudthEmr(ICsNs5u2OfTBLHiehZtzMFvpcywbNxahfGu1LRUAPSejfj)c2xdbTWnlCay4qNhaLLGKANzDLtHsaOGxbtbaTrmkMX1agvRfazG1hDVNIpjz11gjGOUdwcucYFMRbq(JicuaDgQGVkBHEKW4bstbqGdT2npyst(teMaJpaJvdMK2NDFTAbACb(7aVnDNsvzRHtUaI9bRLeHF)8iXyWsyYq7rDogLL1FM)vdxfgrSMQ7BkxsySe1nc0tr2qXhbq74pgPhaaDZU5b02hMxVuHdSpN8W2QsCL0haaxHdGfC65(iKUdK7AhWacKTMzCFlv5bsuf8KinaoAT8rXgAW0uzY1FyzlXvoCKqqaorbhXMyMDgzRAKWlq1cIJwr2sCfYc8iS1blckrzNDEHFxHZPcwedO4woVkDjMeSGCOid5MmH52QivRKUbxuYGOSvK1885GoeiJnx6Du2q1)Q(FeVBIvLYZupay5eoDu1rZSOajAbtDaKiSmjO03FytbD3MkDAna9Nfl9LgsCirwv6rOomVpabpYtYJCmV1kR203yyZ5CAN4z8iwRvQ5e7sM7zHeQXti)3mJEavwK59J3KfdMoMAuH5yL(rLWiQQkyvwebTRSziZoSs6buaPSKK5cXEPrZPa64RrGiwN0dS8g(za6AiD0qjaFM7dH6EZ5eZijt6Odj7Pdf0vM5yHRKcgcrMgEaGIyR5eRgeqK5cc)UH5CoDTiZybvjKwUxJ61WuU9fWB3Pzleyp7SST1e8S5gDadSDuKVxajWSL2kuUlYxYq56gWPdvx5tCqXNUzmqPNLn8OfkhzGkQ8zM)et0aerXhpayLDNfY4rpAsvo6SYIQ2SdRCRe0NKBdVFEEbk3rqWGIwtVKDxt3mqMruAuuNpqsJ1MdZ0tZIPucBiiJMZvmzRtG3pe3YMENjKZRyQv07q8ch(XCXOba7e7dkxmqeCY4qhu5GZ5eS1M2wx2UdqY5Rxdwd(LuHl(K6NeSElvt3kaw0ysFZ39wLcpkpMtHkxxfY)fSszb7cETT5ltB6wjGdnM)wBOJHnN(hNyHtWq4fWmDlCwRnV4kxMIQnWouGqYLd(NUmam9Cqc79lxeq9MbRxRf9n4ynVCTfGTzYHC29aWFgf(IaERJ4fPJgKwJeHi13i9HDMD5aBE6lh4mAhp8McOVAditSOF4Q0N)5NDB5hPjt)yD(7OCF3XUnD7YxRWXTGJ9qxpTFe7F6)3mGNrIL49Vy6ZBBs3L9KaNDnbmdhA5x)X9h6U41n729pi2e)3d

Prescience Glow frame WA used:

Prescience/Ebon Might MRT Assignments + Raid Frame Glows - By HenryG

The custom features I made for the WA (the countdown on frames) have been implemented into the base WA afaik.

Ebon Might on Cell frames:

Used this WA to show Ebon Might bars at the bottom of the frames - if you change the size of cell frames you have to change the size of these bars too.

!WA:2!nE1xZTXTrCrZ26jmoP2moASD80YWM6kNklBRmoZK0QKYJIYIjuKYhPSu(tljU7a5bRJaW4aLevg3MQMP1TpY8nGp3N4hbnTVJQPV3PQFd0d95Ua4iPKD0m1ZyrClwS7I9p)2fPEC2yVhSW9xCHpiB3SbzdEE5biHFfmTJm8BMvSxT2TJXYuJciX8iu)g49K5)P8bDeSE8Y(m61w7d)pJqu)qMyDgHkDDl)WvBmYJjcWIISiM4tsLkv6deSDRZr(40l2teXFRqPKh)H39U7I6WwGWU7J8rKT2S0DE0DVVa5ljmA877glrczgV2ekjomJd8JmZjEi)T1ANguMQTSd2fu1Mce)GntwiGZ1PdwKYPnJk5xEfbz)CpQhkqGKOCnA4eXqbTh0lg30pcfhh6jrryQCw3U9IKKmoXK9XZQUoSGJ91lCn8Pxj2NrXLdIVGarjDrsC4b2lFnQWper7GdCJ9bXLEOa3bUgn6ZXhg0NI6s8noTJbNgyGu5kW9Kj8ClSC5nQFO1Hz92V9qjZFhSigo)1s9NOUOiEikDIt1ETh2MShoytsaeMUKdi5DDQuALghB5XbCsbcgNFzNiY(7Jeb5AWyWLJ7P94LxEWeh(jXmHC1(EcsqdKxeEw(7SfMhUr57SUah7tWuFSlIeueC5YIHy)TVt5U8OWHT7ffvKi8JWT4xgCMfSjbyXgqCQ1WPXjNQGpJ)g(9ILSUNHR9UWkT7rnH75AlqDXXZNth93b7ACEX3oto4FOEcutmDNf4cct0VcjwMBPVtQmrUVYCe9)Y)BkIJIQZzYisNq5kAfO1QtpPKrZpVHXNz(BB4GnNpNnKTSonHqZr4iIiEUZAq5cytuqedI056bIemNPNDb7YfGOSeNdrdoV9wqF0jsJ02kkziMoH4u1y8pGE2eJ2UaC1Jx4HyP(6yUxZPp685(QCKouMaBOfVuUVkFPOD2yLM6a4d1zFl8U5F28wzTU2TrKeC854mF2TpJza2N1gEjd04bnA8lm)8RbbE2V1XLN9sNrsGuzHCUZW7PJcN1aW0GmV4A9VW)pqki6s(4BClrYY)4WaSxV2T1fGIvlvz9v2OIJe(WvFxx8aO2okcQKZCCCpp8oq9FDGBYEJAwSq9gnR3OGBJjBbLcWwU1xVuLkoAxTNgmelCn76TkgfjdDP6RrMbqDI1eYmYNf1Rl1c8DcGoIfuu0JTv2F7bqrtfsxcCseKHs9kwQAJsUIKk)0dbTNK2LzXEKGr7wtwa1OWN71FUbXsmVaTte(hFqhDPlCXYxzJJ8sk8TiVPtNE903BHhCGgiSoGQDDVywpHp2J0LdL9aQmKhcki1XOEqXjS23aP4ua(COpwBXwr76zrwchA)TuaCbVFU1buOi(LT126MdBWdGmBVEMFs4vR5V)rOtx57vCJ6nQTMNafq6f)nxAqmoQTPbI6IJmjc1LA46xBGfNfSX3x9ARCigfR3X0E6IQLCOa0YrbqavZrtD4veJbe2G4d0SQTD1tC6Ii0vue4aQNO2wfP6c)(6VifXtGBbPDF18qLcGzqb84nAuPC1sJcWTrqVbDdVwEX4UqiY9(lCVfUxEsa)AL8y010qmoiOpGT2td9i6N09CGoezCSVYjw3GHjT15vVOBPsvD9hhWs7gRtxs5OXLvpXnsNH8QhbXhDxgUP1yMH6RiXUEeHcWxwF0Tgbl9XL0zLXT4xZIgKCkd1scbte3YdeqBsNmz9VXZ3AiOrX2g77nhsGDQBssU5mQ03Cg(p)uT(BA1utEtjPlUzsFTMYqOvrilkOVANBMs9duv55o)tz)kLkJ6vvxcIQVViG1SteB3qpBEu(mzgaKSFeQE9zpoKeGBIIImSfhQ(H3s9NbUu)LqE(ZxrDzbnHmdCRJXuDRThQZ2aFq4jBJHQhD3DPR2VfQUIk7bEOKbwsV6h)VF6t)6zMzMuPbuKyKuNGHdvFwk1vvV5Hg3Ln0(zP4VrNeXwtO)RjomC1AUL)8AvBuOIA2)7r6rn4yPhskJWHhBMMOj0yOPzadVyIUq(QFP6A6rmmdMqbGfrO6TmZCaBRXUH1Z6iaK8wgwamJDGwVzNmhZejA7h3eM3PdJczEW5dv3ulkJLSdoKaDT3GeES(tdq42u2U0w8RQjG3dA5DAYdNU(A)Gp6FPUHwuNibhEpbwpX1ASam)QfRuyT1BuZPsHIFAHLxUCJYpU0rXHOa2UBz9wPpoUlJjdxxW6azmXH2bhc0fE4aCWAeAOkVqdqdbJbqiJgOLTlmBt1LfjA0DnWAi8R6dt0aYMQJ8ltI1r4GwUMGtO6NPhCsnxABU9e4W0Q39BUKIRE6PdIBLsDx19u7ByiXI)m7w3CMJgRM67s44wQwQvoCmjniyO6dQEl1h(8RQDMRHK(Hn91JkfYZ2v)vcGNLy2f1Cz6eBj0cghSRha1mEUjyqoAnAu)wQvZWFZXI8mcjCuNPci79u)c1VCiu9TBXiammUfaP9rNahSKomw32LdmA1d534LnOAaGjcgdn)slP(4m6C5jsE8wz)i1Vsv4qDqXKhqcIVH379bp4(pyrLJQOAzxZHuLZOFKWtmZZTdEreTp)k2zNAyBhQJK)1z4V13zbRDHRUUnq9PF7X8Kuelu07EZzUGku3b4frX))axFekjbBn0E5V)7DW4Oxl1xNzeBArR6BvpA0EON0U0N8GBV1(ogOWMtbMv1sRw)tMvT0rqJ5PJ3MqaUaylHNFD(psNQ2uEUyFdMSp8ykEUZJ7PayMnN0J0PWgnQXFddXZ24w9fNyLZKxh875VZ5j(iChKF)MTJymr4Hggg3cS6qZObyDqYPATQL4x)7qk2fQ)MAjb4b07XV95PSxQxXRm0W1u)7GKtbduvlExuua)TppHXfyFIzijEwRR50fTP4x(ueN(i0Jmuh)Erv2JMOqZCcpn5yN61SQQjJTmwYwV0oGUb0MWPcWmCvcVBn2koTPnM4ojVIRP(rMPpk5d7bxea9ulnqNDziN8OWexK(gK88UXgqRXcddar8Ru)P9qcCUvGhMLBZqIepw8ml6RxiwpLYf9SX2q(vmGGUjdbQRpv)JJn0Cgd9UiGK)IO0O9APE81vBQ2YzFgRBk3D1jA)DvN0EDj65lcp6mcofmL0XNEiPClEQNXpj(ygvvXuZpWu4fd98vx0It3WI8ZNRSEI02W8rFzreKPs7as7lH3Qo9R7uxFa(p58hlyAYZiJWx14vws1wv1rR5q1VnJkwjv)HmjmqccWu3QLECjx137cMwUftaraFKRUcvTNQp)wNVsptTg0rxpKpoC0lMIQ(DzgmEoKfHQcGYNR(IS78p36)b

Prescience Tier set tracker WA:

Prescience T31 - By Xephyris

aug-ui's People

Contributors

krealle avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.