FreeSkills
Knowledge wiki setup
- 418418 downloads
- 129129 likes
- 161161 saves
Works with
- Claude Code
- Codex
- Cursor
- and 3 more
Answering from a machine learning wiki v1.0.0
Use this resource to answer questions from a compiled machine learning wiki
New
- 558 downloads
- 162 likes
- 191 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install ml-knowledge-base-queriesWith 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 queries a read-only Markdown wiki compiled on transformer architectures, attention cost and efficiency, and long-context scaling. It reads the existing articles instead of re-deriving them. To add or correct an entry, the llm-wiki skill is used instead.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: query mode and wiki conventions
- wiki/: articles on attention cost, efficiency and architectures
Good fit for
- You want a sourced answer on transformer attention
- You prepare a talk on long context
Not for
Tags
- transformers
- attention
- wiki
- machine learning
About
You say
“What does the wiki say about attention cost at long context?”
Skill published by sammcj under the MIT 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 answer questions from a compiled machine learning wiki
- Review and adjust the result
Content preview
Files
- CLAUDE.md2.3 KB
- LICENSE1 KB
- local/prep/2026-06-04-attention-talk-prep.md1.3 KB
- NOTICE-PALATEKIT.md0.5 KB
- raw/machine-learning/2017-06-12-attention-is-all-you-need.md1.7 KB
- raw/machine-learning/2022-05-27-flashattention.md1.6 KB
- README.md3 KB
- SKILL.md3.4 KB
- wiki/gaps.md0.6 KB
- wiki/index.md0.8 KB
- wiki/log.md1.2 KB
- wiki/machine-learning/attention-cost.md1.5 KB
- wiki/machine-learning/attention-efficiency.md2 KB
- wiki/machine-learning/transformer-architectures.md2 KB
- wiki/machine-learning/why-transformers-scale.md2.5 KB
- wiki/README.md2.8 KB
Origin and licence
Listed unmodified
- Author
- sammcj
- Source
- github.com/sammcj/agentic-coding/tree/3f58e2fcd85f52cc7ba7459016b8253686f20ae0/Skills/llm-wiki/examples
- Licence
- MIT
Notice
« ml-llm-wiki » (sammcj, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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