espdl-operator
espdl-operator is an Embedded, IoT & robotics skill for AI agents, published by espressif in the esp-dl repository on GitHub. Skillspace rates espdl-operator D (60/100) and it passed the safety scan; the rating is based on static analysis only.
End-to-end guide for implementing, testing, and optimizing neural network operators in the ESP-DL framework. Covers C++ module implementation, C reference kernels, SIMD assembly optimization, esp-ppq quantization strategy integration, Docker-based build/test, and inference result alignment between esp-dl and esp-ppq. Use this skill whenever the user wants to add a new operator, implement an operator, optimize an existing operator with SIMD, add quantization support for an operator, or test/validate operator correctness. Also triggers for "算子实现", "添加算子", "SIMD优化", "量化支持", "算子对齐" and similar phrases.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 1,088
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 74 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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