Langchain Architecture
HermeticOrmus/LibreUIUX-Claude-Code
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns.
LLM and ML development best practices with LangChain and transformers.
$ npx skills add meleantonio/ChernyCode --skill llm-development -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install meleantonio/ChernyCode llm-development --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "llm-development" agent skill from https://github.com/meleantonio/ChernyCode/tree/main/.cursor/skills/llm-development into .claude/skills/llm-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-development", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/meleantonio/ChernyCode/tree/main/.cursor/skills/llm-developmentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add meleantonio/ChernyCode --skill llm-development -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install meleantonio/ChernyCode llm-development --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/ChernyCode.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.cursor/skills/llm-development .agents/skills/llm-development && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llm-development" agent skill from https://github.com/meleantonio/ChernyCode/tree/main/.cursor/skills/llm-development into .agents/skills/llm-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-development", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add meleantonio/ChernyCode --skill llm-development -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install meleantonio/ChernyCode llm-development --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/ChernyCode.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.cursor/skills/llm-development .cursor/skills/llm-development && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "llm-development" agent skill from https://github.com/meleantonio/ChernyCode/tree/main/.cursor/skills/llm-development into .cursor/skills/llm-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-development", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/meleantonio/ChernyCode.git --path .cursor/skills/llm-development--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add meleantonio/ChernyCode --skill llm-development -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install meleantonio/ChernyCode llm-development --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/ChernyCode.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.cursor/skills/llm-development .gemini/skills/llm-development && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "llm-development" agent skill from https://github.com/meleantonio/ChernyCode/tree/main/.cursor/skills/llm-development into .gemini/skills/llm-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-development", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install meleantonio/ChernyCode llm-developmentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add meleantonio/ChernyCode --skill llm-development -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/meleantonio/ChernyCode.git skills-src && mkdir -p .github/skills && cp -r skills-src/.cursor/skills/llm-development .github/skills/llm-development && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "llm-development" agent skill from https://github.com/meleantonio/ChernyCode/tree/main/.cursor/skills/llm-development into .github/skills/llm-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-development", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add meleantonio/ChernyCode --skill llm-development -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install meleantonio/ChernyCode llm-development --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/ChernyCode.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.cursor/skills/llm-development .opencode/skills/llm-development && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "llm-development" agent skill from https://github.com/meleantonio/ChernyCode/tree/main/.cursor/skills/llm-development into .opencode/skills/llm-development/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-development", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
llm-developmentLLM 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. 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.
Read from SKILL.md and the folder at commit d85373c. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 190 words (~499 tokens).
Just SKILL.md in .cursor/skills/llm-development of meleantonio/ChernyCode.
Open the folder on GitHubat commit d85373c
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| LLM Development this skillmeleantonio/ChernyCode | 516 | — | ~499 | Automated safety check: Pass | None | |
| Langchain ArchitectureHermeticOrmus/LibreUIUX-Claude-Code | 111 | 10 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Tool CreatorAgentTeam-TaichuAI/ScienceClaw | 670 | — | ~4.7k | Automated safety check: Pass | None | |
| Agents And MiddlewareVectorSpaceLab/AREX-Skill | 328 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Bridging Presidio And Spacymaziyarpanahi/openmed | 5.5k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Agentsop Dspyagentsope/SkillAlchemy | 457 | — | ~7k | Automated safety check: Pass | MIT |
HermeticOrmus/LibreUIUX-Claude-Code
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns.
AgentTeam-TaichuAI/ScienceClaw
Create new tools or upgrade existing tools for the agent. An agent skill from AgentTeam-TaichuAI/ScienceClaw.
VectorSpaceLab/AREX-Skill
Work on the actively maintained LangChain v1 agent package: initchatmodel, createagent, structured output, tools, middleware, embeddings initialization, provider routing, and agent runtime…
maziyarpanahi/openmed
Combine OpenMed clinical NLP with Microsoft Presidio, spaCy, or LangChain through OpenMed's built-in interop adapter registry (openmed.interop).
agentsope/SkillAlchemy
Operating SOP for DSPy (Stanford NLP) — the declarative framework for "programming, not prompting" language models.
Prorise-cool/Claude-Code-Multi-Agent
提供数据库设计、优化、数据工程和数据分析能力。当需要处理数据库操作、数据管道或数据分析时使用. An agent skill from Prorise-cool/Claude-Code-Multi-Agent.
meleantonio/ChernyCode
Python code style and formatting standards using Ruff. An agent skill from meleantonio/ChernyCode.
meleantonio/ChernyCode
Simplify and clean up code after changes are complete. An agent skill from meleantonio/ChernyCode.
meleantonio/ChernyCode
Git workflow and commit conventions. An agent skill from meleantonio/ChernyCode.
meleantonio/ChernyCode
Commit changes, push to remote, and create a pull request. An agent skill from meleantonio/ChernyCode.
meleantonio/ChernyCode
Testing conventions using pytest. An agent skill from meleantonio/ChernyCode.
meleantonio/ChernyCode
Find and fix technical debt including duplicated code, dead code, outdated patterns, and code smells.
Works with
Categories
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.
LLM Development fits situations like: building AI/ML applications; tasks that involve Building AI agents.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: LLM Development is instructions for the agent only. Our summary lists: Python 3.
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.
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.
No licence was found for LLM Development or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
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.
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.
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.