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CD tilelang-ascend

Write, port, tune, and debug TileLang kernels for Huawei Ascend NPUs. Covers the Ascend dialect, AIC/AIV work partitioning and independent AIV execution, SIMD/SIMT operations, memory and data movement, T.Stage scheduling, synchronization, performance measurement, profiling, operation cycle measurements, and VF latency annotations. Explains how Ascend kernel programming differs from CUDA/GPU programming.

tile-ai/tilelang Agent Skills author: tile-ai NOASSERTION 4 files body ≈ 10 467 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Write, port, tune, and debug TileLang kernels for Huawei Ascend NPUs.

As a process D 35/100 · Unfinished process — References files that are not bundled: ../tilelang-build/SKILL.md, ../../../docs/tools/compile_only.md, ../../../docs/tools/lower_trace.md

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
54
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: ../tilelang-build/SKILL.md, ../../../docs/tools/compile_only.md, ../../../docs/tools/lower_trace.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 10467 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../tilelang-build/SKILL.md
  • warning missing-ref reference to a missing file: ../../../docs/tools/compile_only.md
  • warning missing-ref reference to a missing file: ../../../docs/tools/lower_trace.md
  • warning missing-ref reference to a missing file: examples/ascend/deepgemm/kernels/epilogue.py
  • warning missing-ref reference to a missing file: examples/ascend/example_per_token_cast_to_fp8.py
  • warning missing-ref reference to a missing file: examples/ascend/

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: ../tilelang-build/SKILL.md, ../../../docs/tools/compile_only.md, ../../../docs/tools/lower_trace.md
  • 0Tools and files. 6 referenced file(s) missing: ../tilelang-build/SKILL.md, ../../../docs/tools/compile_only.md, ../../../docs/tools/lower_trace.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Execution cost. Instruction body is 10467 tokens: crowds the task out of the window
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 23 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • low 13 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 406: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (23 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.