saeedahmadicp/ti-edgeai-skills
v0.1.0
Skills for developing, deploying and profiling neural networks on Texas Instruments Edge AI processors (C7x/MMA with TIDL: TDA4VM, AM68A, AM69A, AM67A, AM62A) using edgeai-tidl-tools and edgeai-gst-apps
Changelog
Format: Keep a Changelog. Versions apply to the plugin as a whole; each skill also carries its own
metadata.version.
[0.1.0] - 2026-10-02
First release.
Added
- Five skills for the TI Edge AI SDK (C7x/MMA with TIDL):
ti-edgeai-dev,ti-edgeai-import-model,ti-edgeai-generate-config,ti-edgeai-profile-pipeline,ti-edgeai-train-model. - SoC lookup table (TDA4VM, AM68A, AM69A, AM67A, AM62A) and SoC parameters in the scripts (
TOOLS_SOC,TIDL_TAG,GST_SOC,--platform,--quant-scale-type,--target-device). - Tools: ONNX preflight (advisory), TIDL compile in Docker, detection/classification evaluators, artifact version check, packaging, non-destructive deployment with a meaningful exit status, host-vs-board output comparison, config generator and validator, camera discovery, model/layer/pipeline profiling, a model manifest with file hashes, staged compile output (a failed compile keeps the previous artifacts).
- Claude Code and Codex installation (
scripts/install.sh --agent claude|codex --scope user|repo), optionalagents/openai.yamlmetadata per skill, rootplugin.json(portable layout). - Repository lint (
scripts/validate_skills.py), unit tests (tests/run_tests.sh, plustests/in each skill), eval prompts,docs/(architecture, testing, verification status), CI workflow, plugin manifest, contribution guide, issue/PR templates.
Verified
- On an SK-TDA4VM with Edge AI SDK 11.0: tools container build, detector and classifier compile + deploy, host-emulation vs board
outputs, image/video/classification/mosaic configs, profiling tools. Everything else is documentation-derived and labelled
"not verified" (
docs/verification-status.md).