← AMDSOURCE FILE ARCHIVE
Inside the package
AMD · 144 files · 610 KB · Sep 30, 2026 · 23:13 UTC
| File | Size |
|---|---|
.agents/plugins/marketplace.jsonSHA-2569f7307d91a5b8cc305ec9c6e06da4af22352f2962a5d2d7f8e729a3e2a4213a1 | 355 Bytes |
.claude-plugin/marketplace.jsonSHA-2567f832b8a3c4898e1453f60b461b79fb8d4c0e8889d930e0daf12af3c1e2ff938 | 809 Bytes |
.codex-plugin/assets/composer-icon.pngSHA-256671ee8519686294b03b4995bb3ba99045004bbccd328968bf38c30b3cc96c312 | 16.1 KB |
.codex-plugin/assets/logo.pngSHA-256671ee8519686294b03b4995bb3ba99045004bbccd328968bf38c30b3cc96c312 | 16.1 KB |
.codex-plugin/plugin.jsonSHA-256cbe68f54a64025845974c6d485a9b765a307f70548952b61be30b67e1835ac49 | 1.53 KB |
.cursor-plugin/marketplace.jsonSHA-25699532081705cd0bb6ede1c819eaeb90eacf1625bed16279cc13b4b6ad91e55a9 | 1.15 KB |
.github/ISSUE_TEMPLATE/skill-bug-or-improvement.ymlSHA-2560c6891de0b7c72c87cd1d7589d32c7919c8d4797973b8244d04d77bb1dc9eab1 | 2.5 KB |
.github/ISSUE_TEMPLATE/skill-proposal.ymlSHA-2562a3212de71a5e1e71baabde8ae1e68b296c1f9d1211a783df16a0393a5723a06 | 3.5 KB |
.github/lychee.tomlSHA-256d0d95d985f6e95069771a67ab688c968f17a64cbb62873205511defcb162783e | 1.08 KB |
.github/scripts/changed_skills.pySHA-25611bb396c49a371dceae72bf1e3a88bd1cf9040c1871b028b0a489680985b9440 | 4.96 KB |
.github/scripts/check.shSHA-256f856faf80697412117658bcd0b0958e761ef87ff0c0f751d090a54da3d94e8f2 | 937 Bytes |
.github/scripts/generate_codex_plugin.pySHA-2568f05ffceb2290747ee8b8290a45b8bbbf6b85c349e81b07779bc3eba6f8dee31 | 10.3 KB |
.github/scripts/generate_cursor_marketplace.pySHA-25684055653a96038199a854555fee34b45b13730be5f95fd8154892f8474362846 | 7.98 KB |
.github/scripts/import_external_skills.pySHA-2567a5951a4ea66edf60505c9a9755e68dcff69eccac9400e07d28ed5aa69b69e25 | 25.7 KB |
.github/scripts/publish.shSHA-2565b281049d887d44b4bf2342ed990825f9b8f67478f22a23151f8df683b8b1c94 | 1.62 KB |
.github/scripts/select_evals.pySHA-2568a03b1967e6fd47b66cca3af879446a9bdfcb8f05957c32541c372cc0793b1d9 | 7.53 KB |
.github/scripts/skillspector_gate.pySHA-256e10b3240594c7c61483741ce15a59179b283f7649fe69b620e91b789251f8e6f | 6.63 KB |
.github/scripts/sources.ymlSHA-2562211ba8f95f807c8faf5dacd4914192204483785a340d3da83d961dc03261017 | 2.1 KB |
.github/scripts/validate_skills.pySHA-256612a81828d27b0851b0524c5470f320b407d6bafdbb9838f18541fa1fbd57e4b | 15.8 KB |
.github/skillspector-allow.ymlSHA-256f5006c09b59588bb48201ccd2180784ed9b22791248655940fdea00faf838966 | 9.25 KB |
.github/workflows/evals.ymlSHA-25629789a53e3fc7d6053db18343a839a518b4fdeec59606d4a6b85f53733f34244 | 14.1 KB |
.github/workflows/external-reference-check.ymlSHA-25612e227c00d3f5e4b4a2b8f7b9b19c007d931926718f88c4ad4448721f177839b | 5.53 KB |
.github/workflows/import-external-skills.ymlSHA-2564d778a0955e7ca14ea3a71c2c4ab063a86a49d90009c7136b74d9ebc5932c110 | 3.59 KB |
.github/workflows/label-skill-issues.ymlSHA-256f2fdd61c2d5ab306f634b3534f27861c7d90640505432fa13351f61a86771d25 | 3.12 KB |
.github/workflows/skillspector.ymlSHA-256928b8a21bb6d6bb9831b9130b2f2ae9e431998675fd3adf563207601dea38bfb | 8.74 KB |
.github/workflows/validate.ymlSHA-256af6371036fcd8fad65dbbcdc8a295345e3e7ff3435de78533b2384484fa89ffa | 5.32 KB |
.gitignoreSHA-25617adfe38c52e6903e14702363446bf175fbedd5ff75572c4c8f36e6a7a62f7e2 | 296 Bytes |
CONTRIBUTING.mdSHA-256745800171cd5905772a64cea2420c1ed3bd5dfe571e5822b725d7f053652aa04 | 4.33 KB |
LICENSESHA-2566a86faf98a4909cc6341592da475f17fc2f9e18d21b59f30a5a62314c6a8c216 | 1.08 KB |
README.mdSHA-256c6580828d9772b17aa14fcb5b5689e11bdb3f7603dbd69c6c43abe9cd003ac94 | 12.4 KB |
SECURITY.mdSHA-2560e3bd89c21792039aecfe6e96995908cb68e22466d6ccbad5a17c41d66d56b7a | 487 Bytes |
assets/amd.pngSHA-256671ee8519686294b03b4995bb3ba99045004bbccd328968bf38c30b3cc96c312 | 16.1 KB |
assets/banner.gifSHA-256dafcbe0e9e199d10f6428aca94d858a00ccee9a80071376adfb0799979582920 | 481 KB |
assets/banner.jpgSHA-256b83045d77393e04b61473c75caad21c1c2bb45b25c9d8b6ce5dc83c9a2c6c56c | 87.2 KB |
docs/best-practices.mdSHA-256a5cc829d53af61a57bea9b035ca95b9dba18cbbcbd672b4dff5dc43e21c6f02d | 7.24 KB |
docs/evals.mdSHA-2562cbdc16348e2e44f54bbfc001a6f39daf02c180110a9b506b94f541ad2c77604 | 7.22 KB |
docs/rocm-docs/catalog.mdSHA-256c8b8bc4d446513559327b425023aa455ae7f42b73cb9e5d1783c5031b6675d6a | 117 Bytes |
docs/rocm-docs/concepts/index.mdSHA-256a61b8bebfbd39e2006a6b75c44f0eaa6b995a541bfbe3862de7d9f17f8658443 | 226 Bytes |
docs/rocm-docs/conf.pySHA-256775fd07c2cb9b1af57ac92c45709ec0174c1f41b60d1c86876e9f1e216214844 | 962 Bytes |
docs/rocm-docs/index.rstSHA-2566328d43d38c21081662a52cac0550874a3566779f94d1829789939090e2f8f99 | 1.17 KB |
docs/rocm-docs/install/installation.mdSHA-25632072f841fd33d719b1d2ffa85bdb8d480525bc3c2811ac54f9775eab32dd7cd | 415 Bytes |
docs/rocm-docs/license.mdSHA-2564f8dbcaf023b725c25274036522bd443a5870749f69060e615b6919a325d24a3 | 71 Bytes |
docs/rocm-docs/sphinx/_toc.yml.inSHA-256e1db7ec3950c5e93eefd8a36517b2e063b9f894ce91b591f0b631b5546946ebc | 793 Bytes |
docs/rocm-docs/sphinx/requirements.txtSHA-25697021fda96796c38e8947a966f9239846052850ff7332516cc1f51c84ec3352e | 22 Bytes |
docs/rocm-docs/walkthroughs/hyperloom-workload-optimizer.mdSHA-256dc1c23b13b0116b4798e2b7709e26b7d9b8164179b0c37b50ce2d1c6656876fc | 177 Bytes |
docs/rocm-docs/walkthroughs/index.mdSHA-256b2a5a3c18871b0f7ce38ff596dce66f63ddd07e79bae1b38f6dfc30f9e896d8e | 1.11 KB |
docs/rocm-docs/walkthroughs/lemonade-router-builder.mdSHA-2565c85f2dc23f310b86862632e688d52aa0c39f6f5fbe36c1cc91c561eae8e71c8 | 162 Bytes |
docs/rocm-docs/walkthroughs/local-ai-app-integration.mdSHA-2565285a94094cc052f70676fef60b3d728d7f5607ea0b64e161ec20081cebaa806 | 165 Bytes |
docs/rocm-docs/walkthroughs/local-ai-use.mdSHA-256618c90c57a1d97f6bb853ec3fe27f822fabd489789ec739fcc52de9414fa3a30 | 129 Bytes |
docs/rocm-docs/walkthroughs/magpie-kernel-evaluator.mdSHA-25695d66f8a702b40a41521a7ee8d7802d1be86781cf098612e3295d8f88cb5ccf1 | 162 Bytes |
docs/rocm-docs/walkthroughs/serving-llms-on-epyc.mdSHA-256b77e6af4c8296ae094fd776d99a7abb7ead9617f87ee6e61370416170607da7b | 153 Bytes |
docs/rocm-docs/walkthroughs/tracelens-analysis-orchestrator.mdSHA-2566eac20307ecba15228e8a02ed4b6c756dc3aa42b12031237f3daa09ed36636a2 | 186 Bytes |
docs/skill-requirements.mdSHA-25652e1025107953ed59beaee932e6ddaf75248135e753cc5e26d5fe2589e495019 | 5.36 KB |
eval/TEMPLATE.jsonSHA-2567c23307f42a539df48cbca732247ec4346a3cf26eb2c15b233616e70fe9f36a1 | 1.39 KB |
eval/agent.pySHA-256b4db79ebf469c69b2ab10e26079f0749831064a77f910bc8c9f8198e9939f0c6 | 19.1 KB |
eval/claude_eval.pySHA-25616478965a9bd26144046ab41cc27ea0151640d13280e9b75697cb752fc724365 | 10.7 KB |
eval/compare_skill.pySHA-2561ad409a61f921fc765bddabd085a0da2959d0dd76b93fbb784e7e3c8da2d13d4 | 10.6 KB |
eval/datasets.pySHA-25626a787cf74c31012b5c69c139f1f08ddcc5a279202934da8d22bab51648ce893 | 23.3 KB |
eval/negatives.jsonSHA-256987fded3e0bfa1c813e911265a379b124c343bbe738d78a13d76ce23e3555dfc | 1.7 KB |
eval/routing.pySHA-256248ecc6dbfe25fbcc5a8d6d15b1e166b99db0c5c25a06bee119d9eead35c084a | 31.7 KB |
eval/run_evals.pySHA-25642a05aa6c1fe763d422f0cf3dda649a1a922741a3d3eaba5f092045317c03780 | 22.2 KB |
eval/schema/evals.schema.jsonSHA-25630cd9fcf58ba8db6bf729c586f1a568c4ca0263cb8eb0c8af0c288023d1c4125 | 5.75 KB |
eval/schema/machine.schema.jsonSHA-2562692350fd5ccd4f81060b2fb85ce8aa8ed802180fa65bd9adccdb094b1f33f53 | 1.68 KB |
eval/test_evals.pySHA-256f62ae5f0167886d4bc6b1580f109873826e38ef8cf7d522d7539efe755fb4a1d | 33.6 KB |
plugin-metadata.jsonSHA-25672872b8d3368f7a3755aebed92c4e20d7c65b8977c3a690bb63aba36b9a60d3d | 436 Bytes |
skills/hyperloom-workload-optimizer/SKILL.mdSHA-2568e65e305b0a6766068f9e9aab72e9fa5a1fc6f97e3beeba530838889fe68190a | 20.4 KB |
skills/hyperloom-workload-optimizer/evals/evals.jsonSHA-2560ce9f8c1dac572564eca557c698374137049064d28c93f82e77bf830ea3b21a8 | 4.97 KB |
skills/hyperloom-workload-optimizer/evals/machine.ymlSHA-256a6adf5df60b3c4ce55aaffeb376e517b7e462316d61f255ec60ee4669d2a4411 | 22 Bytes |
skills/hyperloom-workload-optimizer/reference.mdSHA-2562e1aad7b8726de05766a83b3af787e4624b5d0c3ffe54c04c5e2172597c28168 | 5.2 KB |
skills/hyperloom-workload-optimizer/scripts/_env.shSHA-2568a9cd34a91d4b920387a87d9ba8af9f2735b408585257b3f89e893dc54bdc1ee | 2.29 KB |
skills/hyperloom-workload-optimizer/scripts/launch.shSHA-25625b44c1705334e64ccba7699db7b3169e59bcf3cd5463c29606a544d221ad730 | 1.8 KB |
skills/hyperloom-workload-optimizer/scripts/launch_health.shSHA-256245ec3714f2762a81a2a300c72f0ad8ced8d4150ec46e51db0a6b7c111a8806d | 2 KB |
skills/hyperloom-workload-optimizer/scripts/preflight.pySHA-256b103c21597b60f29ccf7e9acd2870b79f22b6af2cdd3e3d3daf1422825871292 | 9.6 KB |
skills/hyperloom-workload-optimizer/scripts/resume.shSHA-25672f827ffa0f5f93ab5493d26c870adcc7d37eb88fbd87c69d2d41e6c104c0357 | 1.82 KB |
skills/hyperloom-workload-optimizer/scripts/tests/test_launch_flow.shSHA-25613a7418c0521e9dbfc5e93c14b5c0861323c346ba2f08d16427c5c0c27969bd6 | 8.83 KB |
skills/hyperloom-workload-optimizer/scripts/tests/test_preflight.pySHA-2569189e58899cc317c1f95f9e7bdae497b710045632fbcd3683ff1380c4a36029b | 6.45 KB |
skills/hyperloom-workload-optimizer/setup.mdSHA-256620fddf6655f0ac3ed52c5295b4fad4d1f330358a79e8fe35a59d127a88237af | 5.38 KB |
skills/hyperloom-workload-optimizer/skill-card.mdSHA-256259fe58a2b09b71a78cf607efe7b5243d513fa951620f53ba8f729a456ab17a0 | 203 Bytes |
skills/local-ai-app-integration/SKILL.mdSHA-256e66d30bcb8969ed98679fa2332b65002d5b94c299b843916d026a1aa6e2718e3 | 23.6 KB |
skills/local-ai-app-integration/evals/evals.jsonSHA-2566250314828ee9956bf9ac472278df991af00397024d93fbfe2e1ecd11abd0f04 | 2.97 KB |
skills/local-ai-app-integration/evals/files/apikey-guard/main.pySHA-25635fe2402f4e5051a8bedbca4801206bb0a7f44feb97f84ab54faa86130448762 | 205 Bytes |
skills/local-ai-app-integration/evals/files/openai-stub/main.pySHA-256bb9f95bfde591f1d62d66f0e3e73baf1a7f5d63a2b45582e07feb6ac94be9c16 | 45 Bytes |
skills/local-ai-app-integration/reference.mdSHA-256f4e30715ada0c4753e8aed30dc7f7f9d7cfdeab73331736fa6459d1fa732e0b7 | 13.6 KB |
skills/local-ai-app-integration/skill-card.mdSHA-256a90a1c2855d6323d0607c87015bea612fede58063ea6e698658a8ef143c9cc1d | 159 Bytes |
skills/local-ai-use/SKILL.mdSHA-25661f11302b346130f8a676f4ff3d28734857beb8a09362d797fc43ffc9b014755 | 17.8 KB |
skills/local-ai-use/evals/evals.jsonSHA-2561c55c87853eff8b890d0cc48c272f7e01ebe15eb49a6efa347d971d7600cff7e | 2.14 KB |
skills/local-ai-use/reference.mdSHA-2568b93b66b50f2fd0ba92181c846457618460e344eb3c48363055d10697223e976 | 9.3 KB |
skills/local-ai-use/scripts/setup_local_ai.pySHA-2567671a929c91974ed56704b70a44bce9102e8150937e6e743b798d421efb49825 | 23.5 KB |
skills/local-ai-use/skill-card.mdSHA-25663cf07aed8be151926f9170492b0d5b0e207ca86298ff984b12c299cac564dde | 175 Bytes |
skills/local-ai-use/templates/local-ai-rule.mdSHA-2569eb135d4ee7a92a781ebd1d14daadd076faf306ddbdd42e867344048b76a6ee5 | 5.32 KB |
skills/serving-llms-on-instinct/SKILL.mdSHA-2562a200238e1b6a3eed4971a47e97ecba5aa26be5dd1244de6905edfc8f60a2b45 | 15.5 KB |
skills/serving-llms-on-instinct/data/blacklist.jsonSHA-25659feb6605a72250100884dadd4d89473eda4deb3c2827fa6656a39276ef5d347 | 2 KB |
skills/serving-llms-on-instinct/data/gpu_overrides.jsonSHA-256e4a6dbe9146024014df8f63fb15e2bcf7029805bbb3370da4d9a6c4ab47a52c0 | 5.13 KB |
skills/serving-llms-on-instinct/data/recipes_cache.jsonSHA-256662ac8c69ddfe31c0f721bde40a82ac21c99d6ebdb56f54931374ee20f0c56a5 | 680 KB |
skills/serving-llms-on-instinct/evals/evals.jsonSHA-2564659e4ec1ed160fe67f08e774495728c5223a5f01ad86c45ea1add7a6c9cd0bb | 2.43 KB |
skills/serving-llms-on-instinct/evals/hooks.pySHA-256df96526ce8726ecd542709c68fcff264c015b1dcb375708a990c5289a60f2c68 | 3.16 KB |
skills/serving-llms-on-instinct/evals/machine.ymlSHA-256a6adf5df60b3c4ce55aaffeb376e517b7e462316d61f255ec60ee4669d2a4411 | 22 Bytes |
skills/serving-llms-on-instinct/reference.mdSHA-256a24d53ef9a74b19f5a299e1f9c62d48e3f12c5f3c2843fc090ced6f632f20fb6 | 4.51 KB |
skills/serving-llms-on-instinct/scripts/detect.pySHA-2565d040fe26dca7011470dd75468b35cb6363369dda682a4ebb12b1391d947e5f0 | 4.53 KB |
skills/serving-llms-on-instinct/scripts/estimate_vram.pySHA-256c815d07ab91bef3035fe3a4c0f07e006599de0c65c731c1cf124f95a29f1d804 | 8.64 KB |
skills/serving-llms-on-instinct/scripts/sync_recipes.pySHA-256386a2e92e7414535d02b3ada809778a278ac4ae8b504208eb3302e56bdfd4e56 | 6.19 KB |
skills/serving-llms-on-instinct/scripts/validate.pySHA-2567de7b69e9229e64c0353345a31a7627440445759153c6e57e9df52a5f43c5903 | 8.25 KB |
skills/serving-llms-on-instinct/skill-card.mdSHA-256c34300b4e912366013a898ba050353d553b5a69d5ffa8bdfbdaab22de94fdd98 | 244 Bytes |
skills/tracelens-analysis-orchestrator/.federated.jsonSHA-256e81e6ef6a33f51a7bb80e1e4d388722e4625aae1ff5084e0fb46fa89fc00c805 | 268 Bytes |
skills/tracelens-analysis-orchestrator/SKILL.mdSHA-256fd7a3b06e754b62a45c03402674ce02b0b55af4a46112d98d25155fe57911e75 | 2.84 KB |
skills/tracelens-analysis-orchestrator/agents/convolution-analyzer.mdSHA-256f591091c5fd42aac6a2c5e1c015b2fb760d568c5bb8bbe7fd31e8b97f4957f91 | 7.73 KB |
skills/tracelens-analysis-orchestrator/agents/cpu-idle-analyzer.mdSHA-256a2f8681acc46a02b508c222687f2d874bf079e3b884b6a1ce4285143bd235889 | 6.24 KB |
skills/tracelens-analysis-orchestrator/agents/elementwise-analyzer.mdSHA-256409c5a081f06fcf30a79f6f8d95601ab1de3782cf54c5b48867713c04f72ef83 | 7.07 KB |
skills/tracelens-analysis-orchestrator/agents/gemm-analyzer.mdSHA-2569b6e1c88c16fcf3208b83822ece1eb3d22f596a54a9197f14b54008426af874d | 6.26 KB |
skills/tracelens-analysis-orchestrator/agents/generic-op-analyzer.mdSHA-256d13a912df7c83d9333d1d352836b3e6155dabeb0fb557c89f1d700a09cc71175 | 9.5 KB |
skills/tracelens-analysis-orchestrator/agents/kernel-fusion-analyzer.mdSHA-256bd0741b28696420c5c7358680be334b789c48c4f4847d2d3c10a096765e2047e | 14.8 KB |
skills/tracelens-analysis-orchestrator/agents/model-identification-agent.mdSHA-256859bb2b05b602589b5276ba5a38fe85be7d812852eb739d49391588baf5e051b | 4.26 KB |
skills/tracelens-analysis-orchestrator/agents/moe-analyzer.mdSHA-256569c3f84f659f9ad8106a08945b94f9e402e8563abc778f21f4ed1a7ce781b42 | 8.45 KB |
skills/tracelens-analysis-orchestrator/agents/multi-kernel-analyzer.mdSHA-256aba51d8438f58504b7091f98d8ba806d5289f9adb1592887dd1907f4cba5aa25 | 11.8 KB |
skills/tracelens-analysis-orchestrator/agents/norm-analyzer.mdSHA-2563f030eb5531823f0ceec4a663a90e8a7bebded03b8196438a64fd3f9fa3c6c95 | 6.71 KB |
skills/tracelens-analysis-orchestrator/agents/reduce-analyzer.mdSHA-2569b6cd514c04fed1e4fcd61d7fcc1c5de0b4fe6126c61752c6278bf569f6d4b46 | 6.3 KB |
skills/tracelens-analysis-orchestrator/agents/sdpa-analyzer.mdSHA-2561ab762c92430374133b0668c4d57f00ac3d80e54ee9dabaf15eece0f2d2c3056 | 10.6 KB |
skills/tracelens-analysis-orchestrator/agents/triton-analyzer.mdSHA-25681efc56da128703f14944acb7e82e7d543d200d2c7dfbcf0317859c39a0451a5 | 6.85 KB |
skills/tracelens-analysis-orchestrator/evals/evals.jsonSHA-256e3632251b7110085aa1e83e03d6a4476b2998761a1df40e9f25f0fafce1223b1 | 2.38 KB |
skills/tracelens-analysis-orchestrator/evals/hooks.pySHA-2561ac080fab37c6fb4bcd53b3a8ed24140cd98f77fb463b1ef845a97a2a98befd0 | 6.35 KB |
skills/tracelens-analysis-orchestrator/evals/machine.ymlSHA-256adf8e12371384a0f44b745771a1b69ffcfa6756bc37ee8aa94654751434ca621 | 12 Bytes |
skills/tracelens-analysis-orchestrator/reference.mdSHA-2565c28b5be38da8baacf1588502470caf83e3c7f1a1113257606eed243bd052933 | 32.5 KB |
skills/tracelens-analysis-orchestrator/skill-card.mdSHA-2564fffef8a6e61d49990b3183f541cd43060153a0446ac9bdbb876a8234aece7f2 | 396 Bytes |
skills/tracelens-analysis-orchestrator/templates/analysis_template.mdSHA-25613865a27f64bdeaf62dcd6a73ad6e511ef5e22267a81c3dfa92d5adc58c7c42e | 25.1 KB |
skills/tracelens-analysis-orchestrator/templates/sub_agent_spec.mdSHA-256b24a32928bc57b22963dd97416a25d2c0f5892f4665bb659f49c1a03f03a6385 | 20.3 KB |
staging/apu-memory-tuner/SKILL.mdSHA-2567622962583e1a9be411a241b6415b3ce67374eeee569b17c53a90f715b53db5b | 10 KB |
staging/apu-memory-tuner/reference.mdSHA-256a4144d10fb43f6ed06ac33e1e59d61cdd4f7a952283af1bfe622285bb9fc36ae | 10.3 KB |
staging/apu-memory-tuner/scripts/apply_profile.pySHA-2564b7161f61cc08fa75e3b2d28a592903af4bf56387ce03990f4edc44c50f723e8 | 14.9 KB |
staging/apu-memory-tuner/scripts/detect_platform.pySHA-256059a4cf5896900dd4b6eda5d02ff9e36eea78082b781efa57157bf266e2e80ea | 16.9 KB |
staging/apu-memory-tuner/scripts/show_config.pySHA-256167916dbdf3b69253cb83ba8139084f1041a05e6086425d1302bf9d96c84a4de | 10.7 KB |
staging/apu-memory-tuner/skill-card.mdSHA-256328462a9003b307eea9fdb17c568a41bcba9aaa95529422dd49f965d95564668 | 208 Bytes |
staging/rocm-doctor/SKILL.mdSHA-2560c763034dbe3668bce22ba91e087ac6c58002f79d52b2d27fc40657ae19db179 | 8.25 KB |
staging/rocm-doctor/evals/evals.jsonSHA-2566e4f28b879db97e5a7cb774869b91c9a218f072bc180a299a7e82cb54260a64c | 2.5 KB |
staging/rocm-doctor/reference.mdSHA-256986705c19648fabfe12415cff207f0a509e3c6b49aaf71057061649bbf7e1e04 | 5.3 KB |
staging/rocm-doctor/skill-card.mdSHA-2567dabe7194756436df2c5635e4a1a27a62345d79f8aafd62b09b30066d4a73911 | 466 Bytes |
walkthroughs/README.mdSHA-2566630334c7b89b4c40f97240d63f01f24bef608e6ba61f921590e396b942ed122 | 1.37 KB |
walkthroughs/hyperloom-workload-optimizer.mdSHA-2560641fff5d251607931872d5618d9ffd24395e011c4510df405ab96232af9aec6 | 6.9 KB |
walkthroughs/lemonade-router-builder.mdSHA-256dad4e23789bb693158b761dffdcad47c45abf16fd907516e6dc38015dd2dc250 | 4.97 KB |
walkthroughs/local-ai-app-integration.mdSHA-25666b4165389dd2e4276621bb0ebc8a2d57b08aab926e2ad84d8c46e102b7f4c64 | 6.1 KB |
walkthroughs/local-ai-use.mdSHA-2561ae749a24a9d19e974c0316d4c8d2af3164d058f54136c8643d1ae9688163802 | 1.7 KB |
walkthroughs/magpie-kernel-evaluator.mdSHA-256cb28dd388d3bf06c66750bc406ae7b362c70a9474b17a85b892b890ac82908e7 | 14.9 KB |
walkthroughs/serving-llms-on-epyc.mdSHA-25613d70d3308d60df44de2bbcd09ebc56bc96e0e1ef62cf4bc21144a22c2351516 | 6.92 KB |
walkthroughs/serving-llms-on-instinct.mdSHA-2564b7db79fc3775aadd497c1e1aa17be25e6d6e69a6d7f6047ada0926b6d3a1d1e | 9.63 KB |
walkthroughs/tracelens-analysis-orchestrator.mdSHA-2564a06eb8b0864aa398abde85fc561e533b789e0f4f9d8434fed848612a133a4b5 | 9.31 KB |
Files are archived as data; their code has not been executed. The package does not include private remote service code.