Onnxtxt
onnx/onnx
Read or write ONNX text format ("onnxtxt"). An agent skill from onnx/onnx.
Build and run the public 64x64 x 128-token tiled circular tensor matmul example on the encrypted Edge Verilator simulator.
$ npx skills add exeex/edge-cores --skill edge-tensor-example -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install exeex/edge-cores edge-tensor-example --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/exeex/edge-cores.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/edge-tensor-example .claude/skills/edge-tensor-example && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "edge-tensor-example" agent skill from https://github.com/exeex/edge-cores/tree/main/.codex/skills/edge-tensor-example into .claude/skills/edge-tensor-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-tensor-example", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/exeex/edge-cores/tree/main/.codex/skills/edge-tensor-exampleType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add exeex/edge-cores --skill edge-tensor-example -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install exeex/edge-cores edge-tensor-example --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/exeex/edge-cores.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/edge-tensor-example .agents/skills/edge-tensor-example && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "edge-tensor-example" agent skill from https://github.com/exeex/edge-cores/tree/main/.codex/skills/edge-tensor-example into .agents/skills/edge-tensor-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-tensor-example", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add exeex/edge-cores --skill edge-tensor-example -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install exeex/edge-cores edge-tensor-example --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/exeex/edge-cores.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/edge-tensor-example .cursor/skills/edge-tensor-example && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "edge-tensor-example" agent skill from https://github.com/exeex/edge-cores/tree/main/.codex/skills/edge-tensor-example into .cursor/skills/edge-tensor-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-tensor-example", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/exeex/edge-cores.git --path .codex/skills/edge-tensor-example--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add exeex/edge-cores --skill edge-tensor-example -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install exeex/edge-cores edge-tensor-example --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/exeex/edge-cores.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/edge-tensor-example .gemini/skills/edge-tensor-example && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "edge-tensor-example" agent skill from https://github.com/exeex/edge-cores/tree/main/.codex/skills/edge-tensor-example into .gemini/skills/edge-tensor-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-tensor-example", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install exeex/edge-cores edge-tensor-exampleInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add exeex/edge-cores --skill edge-tensor-example -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/exeex/edge-cores.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/edge-tensor-example .github/skills/edge-tensor-example && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "edge-tensor-example" agent skill from https://github.com/exeex/edge-cores/tree/main/.codex/skills/edge-tensor-example into .github/skills/edge-tensor-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-tensor-example", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add exeex/edge-cores --skill edge-tensor-example -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install exeex/edge-cores edge-tensor-example --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/exeex/edge-cores.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/edge-tensor-example .opencode/skills/edge-tensor-example && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "edge-tensor-example" agent skill from https://github.com/exeex/edge-cores/tree/main/.codex/skills/edge-tensor-example into .opencode/skills/edge-tensor-example/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edge-tensor-example", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
edge-tensor-exampleBuild and run the public 64x64 x 128-token tiled circular tensor matmul example on the encrypted Edge Verilator simulator.
Edge Tensor Example is an agent skill from exeex/edge-cores. Build and run the public 64x64 x 128-token tiled circular tensor matmul example on the encrypted Edge Verilator simulator.
Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/run-coremark-compare.sh`).
It sits in AI & LLM Engineering. It works with C++. The repository describes itself as: The shortest path from PyTorch to custom ASICs. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 68dc8aa. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Shell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Edge Tensor Example loads about 398 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 153 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from exeex/edge-cores at commit 68dc8aa, republished under its Apache-2.0 licence (© exeex). 153 words, ~398 tokens.
.claude/skills/edge-tensor-example/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.The maintained example is
example/tensor/matmul64x64_128tokens_tiled_circular.cpp. Its public intrinsic
surface is in cpp/intrinsic, and tools/elf2mem128.py converts the
freestanding RISC-V ELF into the testbench memory image.
Use these entry points:
./example/tensor/build.sh
./example/tensor/run.shrun.sh must build the simulator through scripts/build-verilator.sh, pass
the output expectation to edge_soc_demo_tb, and require TEST PASS in
the generated report. For performance comparisons, use the cycle_delta
printed by the program rather than total simulator cycles. Do not publish
metrics or debug values through fixed registers such as X30/X31.
The public C++ runtime is bare-metal only: do not reintroduce NNEDGE_HOST
branches or an example-local _start/edge_main; startup belongs to
cpp/baremetal/crt0.s.
The same-source two-iteration CoreMark comparison uses the checked-in sources
under third_party/coremark and the C906 RTL under third_party/openc906:
.codex/skills/edge-tensor-example/scripts/run-coremark-compare.shIndividual entry points are example/coremark/run-c906.sh and
example/coremark/run-edge.sh. Report the printed cycle_delta (internal
rdcycle cycles per iteration), not simulator wall time. This is an RTL smoke
comparison and is not an official ten-second CoreMark submission.
© exeex, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (scripts) in .codex/skills/edge-tensor-example of exeex/edge-cores.
Open the folder on GitHubat commit 68dc8aa
Edge Tensor Example next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Edge Tensor Example this skillexeex/edge-cores | 110 | — | ~398 | Automated safety check: Pass | Apache-2.0 | |
| Onnxtxtonnx/onnx | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Make Op VerifyCVCUDA/CV-CUDA | 2.7k | — | ~433 | Automated safety check: Pass | Custom licence | |
| Agent Sona Learning Optimizerruvnet/ruflo | 74k | 3 repos | ~516 | Automated safety check: Pass | MIT | |
| Adapter Systemscragnog/HOT-Step-CPP | 171 | — | ~6.3k | Automated safety check: Pass | MIT | |
| External Gitcode Ascend Atb Aclnn Operator Replacement Designerascend-ai-coding/awesome-ascend-skills | 174 | — | ~2.4k | Automated safety check: Pass | None |
onnx/onnx
Read or write ONNX text format ("onnxtxt"). An agent skill from onnx/onnx.
CVCUDA/CV-CUDA
Verify a new CV-CUDA operator against the deterministic final regression checklist (the /make-op done-gate).
ruvnet/ruflo
Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer
scragnog/HOT-Step-CPP
Explains how HOT-Step's LoRA/LoKr adapter system loads, merges, caches, stacks, and regionally masks adapters at runtime, including hard-won failure modes.
ascend-ai-coding/awesome-ascend-skills
自动生成 ATB 到 ACLNN 算子替换的详细设计文档。接收用户提供的 ATB 和 ACLNN 接口文档链接, 输出包含参数映射、开发自测、风险评估的 7 章结构化设计文档。
matlab/matlab-agentic-toolkit
Build machine vision inspection systems with MATLAB Visual Inspection Toolbox.
exeex/edge-cores
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/edge-cores
Prepare, validate, submit, triage, and review open-source contributions to the shared Edge RV framework in edge-cores.
exeex/edge-cores
Generate, compare, validate, and prepare mixed public/private RTL release packages with symbol-obfuscated proprietary RTL and unchanged public RTL dependencies.
exeex/edge-cores
Integrate and publish your own accelerator or ASIC design, DMA, and DTCM/SRAM with the Edge RV64 scalar core and command path.
exeex/edge-cores
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/edge-cores
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…
Works with
Categories
Build and run the public 64x64 x 128-token tiled circular tensor matmul example on the encrypted Edge Verilator simulator. Edge Tensor Example is an agent skill from exeex/edge-cores. Build and run the public 64x64 x 128-token tiled circular tensor matmul example on the encrypted Edge Verilator simulator.
Edge Tensor Example fits situations like: AI & LLM Engineering work in your project.
Run `npx skills add exeex/edge-cores --skill edge-tensor-example -a claude-code`. Or copy the skill folder (.codex/skills/edge-tensor-example in exeex/edge-cores) into .claude/skills/edge-tensor-example in your project. Claude Code loads it when a task matches its description.
Run `npx skills add exeex/edge-cores --skill edge-tensor-example -a codex`. Or copy the skill folder (.codex/skills/edge-tensor-example in exeex/edge-cores) into .agents/skills/edge-tensor-example in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add exeex/edge-cores --skill edge-tensor-example -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/edge-tensor-example, .gemini/skills/edge-tensor-example, .github/skills/edge-tensor-example and .opencode/skills/edge-tensor-example in your project.
Going by SKILL.md and its folder, Edge Tensor Example needs a shell for the scripts in its folder. Our summary lists: A Bash shell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Edge Tensor Example is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 398 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Edge Tensor Example: Onnxtxt (onnx/onnx, 22k stars), Make Op Verify (CVCUDA/CV-CUDA, 2.7k stars), Agent Sona Learning Optimizer (ruvnet/ruflo, 74k stars) and Adapter System (scragnog/HOT-Step-CPP, 171 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
exeex (a GitHub user) maintains it in exeex/edge-cores, which has 110 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 26, 2026.
Source: exeex/edge-cores on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.