Agent skill

LLM Development

by meleantonio in meleantonio/ChernyCode

LLM and ML development best practices with LangChain and transformers.

No licenceAuto-check passedAI & LLM Engineering

Install LLM Development

skills CLI
$ npx skills add meleantonio/ChernyCode --skill llm-development -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install meleantonio/ChernyCode llm-development --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/meleantonio/ChernyCode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/llm-development .claude/skills/llm-development && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
llm-development
GitHub stars
516
Token cost
~499 tokens
SKILL.md length
190 words
Files
1
Skills in repo
7
Repo updated
First seen
Licence
None found

At a glance

LLM and ML development best practices with LangChain and transformers.

  • Building AI/ML applications
  • SKILL.md covers Frameworks, Configuration Management, Data Pipeline and Model Versioning, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Building AI agents

What it does

LLM Development is an agent skill from meleantonio/ChernyCode. LLM and ML development best practices with LangChain and transformers. Use when building AI/ML applications.

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Building AI agents. It works with LangChain.

When your agent uses it

  • Building AI/ML applications
  • Tasks that involve Building AI agents

Example prompts

  • “/llm-development”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit d85373c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

LLM Development loads about 499 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 190 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~499

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 190 words (~499 tokens).

name
llm-development

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .cursor/skills/llm-development of meleantonio/ChernyCode.

Open the folder on GitHubat commit d85373c

Compare with similar skills

LLM Development next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

LLM Development compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
LLM Development this skillmeleantonio/ChernyCode516—~499Automated safety check: PassNone
Langchain ArchitectureHermeticOrmus/LibreUIUX-Claude-Code11110 repos~2.5kAutomated safety check: PassMIT
Tool CreatorAgentTeam-TaichuAI/ScienceClaw670—~4.7kAutomated safety check: PassNone
Agents And MiddlewareVectorSpaceLab/AREX-Skill328—~1.2kAutomated safety check: PassMIT
Bridging Presidio And Spacymaziyarpanahi/openmed5.5k—~2.2kAutomated safety check: PassApache-2.0
Agentsop Dspyagentsope/SkillAlchemy457—~7kAutomated safety check: PassMIT

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Works with

Questions about LLM Development

What does LLM Development do?

LLM and ML development best practices with LangChain and transformers. LLM Development is an agent skill from meleantonio/ChernyCode. LLM and ML development best practices with LangChain and transformers.

When should I use LLM Development?

LLM Development fits situations like: building AI/ML applications; tasks that involve Building AI agents.

How do I install LLM Development in Claude Code?

Run `npx skills add meleantonio/ChernyCode --skill llm-development -a claude-code`. Or copy the skill folder (.cursor/skills/llm-development in meleantonio/ChernyCode) into .claude/skills/llm-development in your project. Claude Code loads it when a task matches its description.

How do I install LLM Development in Codex?

Run `npx skills add meleantonio/ChernyCode --skill llm-development -a codex`. Or copy the skill folder (.cursor/skills/llm-development in meleantonio/ChernyCode) into .agents/skills/llm-development in your project. Codex loads it when a task matches its description.

Can I use LLM Development in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add meleantonio/ChernyCode --skill llm-development -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-development, .gemini/skills/llm-development, .github/skills/llm-development and .opencode/skills/llm-development in your project.

What does LLM Development need to run?

SKILL.md names no scripts, command-line tools or credentials: LLM Development is instructions for the agent only. Our summary lists: Python 3.

Does LLM Development access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is LLM Development safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does LLM Development use?

No licence was found for LLM Development or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does LLM Development use?

About 499 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to LLM Development?

Skills that share tags, products or a category with LLM Development: Langchain Architecture (HermeticOrmus/LibreUIUX-Claude-Code, 111 stars), Tool Creator (AgentTeam-TaichuAI/ScienceClaw, 670 stars), Agents And Middleware (VectorSpaceLab/AREX-Skill, 328 stars) and Bridging Presidio And Spacy (maziyarpanahi/openmed, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains LLM Development?

meleantonio (a GitHub user) maintains it in meleantonio/ChernyCode, which has 516 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on August 23, 2026.

Source: meleantonio/ChernyCode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.