FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
- 103103 saves
Works with
- Claude Code
- Codex
- Cursor
- and 3 more
Evidence-based MoE optimization workflow v1.0.0
Use this resource to optimize MoE training performance through measured steps
New
- 547 downloads
- 125 likes
- 193 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install moe-optimization-evidence-workflowWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent first freezes the measurement contract, makes the configuration fit in memory, chooses the parallelism, profiles the dominant bottleneck, then tunes from the evidence and compares with A/B runs. It relies on the Three Walls framework: memory, communication and compute efficiency. You get an optimization plan and a validation log.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- Apache-2.0
Similar resources
View all- Free
FreeSkills
Sentry CLI guide
- 525525 downloads
- 117117 likes
- 128128 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Drizzle ORM best practices with PostgreSQL
- 407407 downloads
- 194194 likes
- 151151 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
SLO design wizard
- 537537 downloads
- 105105 likes
- 242242 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
User stories and sprint fit
- 451451 downloads
- 150150 likes
- 132132 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Capacity-based sprint plan
- 423423 downloads
- 192192 likes
- 102102 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Startup CTO advisor
- 580580 downloads
- 201201 likes
- 242242 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
FreeSkills
Creating GitHub pull requests with quality checks
- 427427 downloads
- 230230 likes
- 196196 saves
Works with- Claude Code
- Codex
- Cursor
- and 3 more
What you get
- SKILL.md: optimization phases
- card.yaml: structured card
- evals/evals.json: evaluation cases
Good fit for
- Your MoE training is slow and you do not know what limits it
- You want settings backed by measurements rather than trial and error
Not for
Tags
- MoE
- optimization
- profiling
- measurements
About
You say
“My MoE runs at 30% of the expected throughput: where should I start the diagnosis?”
Skill published by nvidia under the Apache-2.0 license, delivered in its original version.
Show moreShow less
How to use it
- Install the skill in your agent's skills folder
- Ask your agent to optimize MoE training performance through measured steps
- Review and adjust the result
Content preview
Files
- BENCHMARK.md4.9 KB
- card.yaml7.8 KB
- evals/evals.json3.6 KB
- LICENSE11.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- skill-card.md4.4 KB
- SKILL.md13 KB
- skill.oms.sig4.7 KB
Origin and licence
Listed unmodified
- Author
- nvidia
- Source
- github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/nemo-mbridge-perf-moe-optimization-workflow
- Licence
- Apache-2.0
Notice
« nemo-mbridge-perf-moe-optimization-workflow » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
User reviews
–
No ratings yet
Loading reviews…