add-op
add-op is an MLOps & model serving skill for AI agents, published by tenstorrent in the tt-mlir repository on GitHub. Skillspace rates add-op D (60/100) and it passed the safety scan; the rating is based on static analysis only.
How to add a new operation (op) to the tt-mlir compiler across all layers: TTIR/TTNN dialect definitions, StableHLO composite conversion, TTIR-to-TTNN conversion, EmitC/EmitPy conversions, flatbuffer schema and serialization, runtime implementation, OpModel, ttir_builder, golden functions, and all associated tests. Use this skill whenever the user asks to add an op, implement an op, create a new operation, add support for a TTNN op, or mentions adding an op to the compiler pipeline. Also trigger when the user wants to know what files to change for a new op, or asks about the op-adding workflow.
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 293
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
- 63 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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