Mem0 Platform SDK
mem0ai/mem0
Adds persistent memory to AI apps with the Mem0 Python and TypeScript SDKs: store, search, update and delete user memories, with framework integrations.
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
Install LLM Application Dev Langchain Agent
$ npx skills add aiskillstore/marketplace --skill llm-application-dev-langchain-agent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace llm-application-dev-langchain-agent --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sickn33/llm-application-dev-langchain-agent .claude/skills/llm-application-dev-langchain-agent && 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-application-dev-langchain-agent" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/llm-application-dev-langchain-agent into .claude/skills/llm-application-dev-langchain-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-application-dev-langchain-agent", 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/aiskillstore/marketplace/tree/main/skills/sickn33/llm-application-dev-langchain-agentType 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 aiskillstore/marketplace --skill llm-application-dev-langchain-agent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace llm-application-dev-langchain-agent --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sickn33/llm-application-dev-langchain-agent .agents/skills/llm-application-dev-langchain-agent && 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-application-dev-langchain-agent" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/llm-application-dev-langchain-agent into .agents/skills/llm-application-dev-langchain-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-application-dev-langchain-agent", 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 aiskillstore/marketplace --skill llm-application-dev-langchain-agent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace llm-application-dev-langchain-agent --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sickn33/llm-application-dev-langchain-agent .cursor/skills/llm-application-dev-langchain-agent && 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-application-dev-langchain-agent" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/llm-application-dev-langchain-agent into .cursor/skills/llm-application-dev-langchain-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-application-dev-langchain-agent", 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/aiskillstore/marketplace.git --path skills/sickn33/llm-application-dev-langchain-agent--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 aiskillstore/marketplace --skill llm-application-dev-langchain-agent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace llm-application-dev-langchain-agent --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sickn33/llm-application-dev-langchain-agent .gemini/skills/llm-application-dev-langchain-agent && 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-application-dev-langchain-agent" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/llm-application-dev-langchain-agent into .gemini/skills/llm-application-dev-langchain-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-application-dev-langchain-agent", 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 aiskillstore/marketplace llm-application-dev-langchain-agentInstalls 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 aiskillstore/marketplace --skill llm-application-dev-langchain-agent -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sickn33/llm-application-dev-langchain-agent .github/skills/llm-application-dev-langchain-agent && 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-application-dev-langchain-agent" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/llm-application-dev-langchain-agent into .github/skills/llm-application-dev-langchain-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-application-dev-langchain-agent", 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 aiskillstore/marketplace --skill llm-application-dev-langchain-agent -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace llm-application-dev-langchain-agent --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sickn33/llm-application-dev-langchain-agent .opencode/skills/llm-application-dev-langchain-agent && 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-application-dev-langchain-agent" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/llm-application-dev-langchain-agent into .opencode/skills/llm-application-dev-langchain-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-application-dev-langchain-agent", 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.
Facts
- Skill name
llm-application-dev-langchain-agent- GitHub stars
- 430
- Used in
- 7 other repos
- Token cost
- ~1.9k tokens
- SKILL.md length
- 512 words
- Files
- 2
- Skills in repo
- 1,085
- Repo updated
- First seen
- Licence
- None found
At a glance
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
- Works in 3 steps: ReAct Agents: Multi-step reasoning with… → Plan-and-Execute: Complex tasks… → Multi-Agent Orchestration: Specialized…
- Tasks that involve Building AI agents
- SKILL.md covers Use this skill when, Do not use this skill when, Instructions and Context, plus 11 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
LLM Application Dev Langchain Agent is an agent skill from aiskillstore/marketplace. You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill-report.json`).
It sits in AI & LLM Engineering, covering Building AI agents. It works with LangChain and LangGraph. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Tasks that involve Building AI agents
Example prompts
- “/llm-application-dev-langchain-agent”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- ReAct Agents: Multi-step reasoning with tool usage
- Plan-and-Execute: Complex tasks requiring upfront planning
- Multi-Agent Orchestration: Specialized agents with supervisor routing
What it can do on your machine
Read from SKILL.md and the folder at commit 4ac52da. 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 Application Dev Langchain Agent loads about 1.9k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 512 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.
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 512 words (~1,945 tokens).
“You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.”
- name
- llm-application-dev-langchain-agent
Files
SKILL.md and 1 other file in skills/sickn33/llm-application-dev-langchain-agent of aiskillstore/marketplace.
- SKILL.md
- skill-report.json
Open the folder on GitHubat commit 4ac52da
Used in 7 other repositories
We found 17 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 7 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
- majiayu000/claude-skill-registryskills/ai-llm/llm-application-dev-langchain-agentskills/ai-llm/llm-application-dev-langchain-agent-mudassarabrar-sage-gemini-li
- sickn33/agentic-awesome-skillsskills/llm-application-dev-langchain-agentplugins/agentic-awesome-skills/skills/llm-application-dev-langchain-agent+1 more
- rmyndharis/antigravity-skillsskills/llm-application-dev-langchain-agent
- agent-skills-hub/agent-skills-hubskills/llm-application-dev-langchain-agent
- lingxling/awesome-skills-cnantigravity-awesome-skills/skills/llm-application-dev-langchain-agentantigravity-awesome-skills/plugins/agentic-awesome-skills/skills/llm-application-dev-langchain-agent+1 more
- benjaminasterA/antigravity-awesome-skillsskills/llm-application-dev-langchain-agent
- henryalouf/ruflow.agents/skills/llm-application-dev-langchain-agent.agents/skills/antigravity-awesome-skills/skills/llm-application-dev-langchain-agent+4 more
Compare with similar skills
LLM Application Dev Langchain Agent 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 Application Dev Langchain Agent this skillaiskillstore/marketplace | 430 | 7 repos | ~1.9k | Automated safety check: Pass | None | |
| Mem0 Platform SDKmem0ai/mem0 | 67k | 1 repos | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| LangSmith Trace DebuggingComposioHQ/awesome-claude-skills | 77k | 9 repos | ~2.7k | Automated safety check: Pass | None | |
| Add Example AgentGetBindu/Bindu | 10k | — | ~1.1k | Automated safety check: Notes | Custom licence | |
| Failproof AI SDK IntegrationFailproofAI/failproofai | 5.3k | — | ~6k | Automated safety check: Pass | Custom licence | |
| Edgeone Makers MigrationTencentEdgeOne/edgeone-makers-tools | 1.9k | 1 repos | ~4.1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about LLM Application Dev Langchain Agent
What does LLM Application Dev Langchain Agent do?
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph. LLM Application Dev Langchain Agent is an agent skill from aiskillstore/marketplace.1+ and LangGraph.
When should I use LLM Application Dev Langchain Agent?
LLM Application Dev Langchain Agent fits situations like: tasks that involve Building AI agents.
How do I install LLM Application Dev Langchain Agent in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill llm-application-dev-langchain-agent -a claude-code`. Or copy the skill folder (skills/sickn33/llm-application-dev-langchain-agent in aiskillstore/marketplace) into .claude/skills/llm-application-dev-langchain-agent in your project. Claude Code loads it when a task matches its description.
How do I install LLM Application Dev Langchain Agent in Codex?
Run `npx skills add aiskillstore/marketplace --skill llm-application-dev-langchain-agent -a codex`. Or copy the skill folder (skills/sickn33/llm-application-dev-langchain-agent in aiskillstore/marketplace) into .agents/skills/llm-application-dev-langchain-agent in your project. Codex loads it when a task matches its description.
Can I use LLM Application Dev Langchain Agent 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 aiskillstore/marketplace --skill llm-application-dev-langchain-agent -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-application-dev-langchain-agent, .gemini/skills/llm-application-dev-langchain-agent, .github/skills/llm-application-dev-langchain-agent and .opencode/skills/llm-application-dev-langchain-agent in your project.
What does LLM Application Dev Langchain Agent need to run?
SKILL.md names no scripts, command-line tools or credentials: LLM Application Dev Langchain Agent is instructions for the agent only. Our summary lists: Python 3.
Does LLM Application Dev Langchain Agent 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 Application Dev Langchain Agent 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 Application Dev Langchain Agent use?
No licence was found for LLM Application Dev Langchain Agent or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does LLM Application Dev Langchain Agent use?
About 1.9k tokens (SKILL.md is roughly 7.8k 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 Application Dev Langchain Agent?
Skills that share tags, products or a category with LLM Application Dev Langchain Agent: Mem0 Platform SDK (mem0ai/mem0, 67k stars), LangSmith Trace Debugging (ComposioHQ/awesome-claude-skills, 77k stars), Add Example Agent (GetBindu/Bindu, 10k stars) and Failproof AI SDK Integration (FailproofAI/failproofai, 5.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains LLM Application Dev Langchain Agent?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,085 skills in this directory. The repository was last updated on October 7, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.