GitHub user
Agent skills by exeex
- skills
- 9
- repository
- 1
Repositories by exeex
Skills by exeex, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Prepare a macOS or Ubuntu machine for edge-e3 development, diagnose missing Verilator/LLVM/Python dependencies, initialize the public repository, and answer or act on the example prompts in the root… | exeex/ | 110 | — | ~1.7k | Automated safety check: Notes | Apache-2.0 | 12 days ago |
| 2 | Prepare, validate, submit, triage, and review open-source contributions to the shared Edge RV framework in edge-cores. | exeex/ | 110 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 3 | Generate, compare, validate, and prepare mixed public/private RTL release packages with symbol-obfuscated proprietary RTL and unchanged public RTL dependencies. | exeex/ | 110 | — | ~892 | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 4 | Integrate and publish your own accelerator or ASIC design, DMA, and DTCM/SRAM with the Edge RV64 scalar core and command path. | exeex/ | 110 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 5 | Run and diagnose the repository-local Yosys synthesis profiles for edge-e3 encrypted product RTL, edge-rv, and edge-rv-lite, then summarize FPGA resource reports. | exeex/ | 110 | — | ~516 | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 6 | Develop and profile the edge-e3 PyTorch-to-NNC flow, including nnc/compiler.py lowering and generated ABI, example/llama smoke models, cpp/libnn runtime operators, BF16 correctness checks, and… | exeex/ | 110 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 7 | Run, extend, debug, or review the public edge-e3 bare-metal software harness, including encrypted Verilator builds, hello and tensor examples, all example/llama/model smoke cases, PyTorch BF16… | exeex/ | 110 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 8 | Build and run the public 64x64 x 128-token tiled circular tensor matmul example on the encrypted Edge Verilator simulator. | exeex/ | 110 | — | ~398 | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 9 | Build or debug the public Edge SoC Verilator demo that uses only src/edge-e3enc/edgee3enc.v as its core RTL input. | exeex/ | 110 | — | ~236 | Automated safety check: Pass | Apache-2.0 | 12 days ago |
Questions, answered from the data.
What is the best skill by exeex?
Edge Bringup from exeex/edge-cores ranks first of the 9 skills by exeex listed here, with the highest score: its repository has 110 GitHub stars, its SKILL.md loads about 1.7k tokens and it has informational notes only in the automated safety check. Next come Edge Contribution and Rtl Release Packager.
Are exeex's skills official?
None yet. All 9 skills by exeex listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.