aie-dataflow-presim
aie-dataflow-presim is an MLOps & model serving skill for AI agents, published by Xilinx in the mlir-aie repository on GitHub. Skillspace rates aie-dataflow-presim C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Guide to validating an AIE/IRON dataflow design in software before it ever touches hardware — a threaded ObjectFifo/Worker mock for deadlock/FIFO-depth detection, bit-exact validation against a numeric oracle, tiny isolated probes to de-risk novel mechanisms, and capacity/bandwidth modeling to catch a compute-bound-vs-DRAM-bound mistake before it's baked into placement. Use this whenever the user is designing a new IRON dataflow (ObjectFifo topology, kernel wiring, a novel streaming/attention/pipeline mechanism) and hasn't run it on real NPU hardware yet, is debugging a hang/deadlock and wants to isolate it without hardware, or is asking how to validate a design "before/without the NPU" — even if they don't use the word "simulator.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 687
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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