Agentsop Observability Setup
agentsope/SkillAlchemy
Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover.
Deploy and operate production agent servers with LangSmith Deployment.
$ npx skills add soba-labs/langchain-agent-skills --skill langsmith-deployment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install soba-labs/langchain-agent-skills langsmith-deployment --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/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/langsmith-deployment .claude/skills/langsmith-deployment && 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 "langsmith-deployment" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langsmith-deployment into .claude/skills/langsmith-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith-deployment", 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/soba-labs/langchain-agent-skills/tree/main/skills/langsmith-deploymentType 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 soba-labs/langchain-agent-skills --skill langsmith-deployment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install soba-labs/langchain-agent-skills langsmith-deployment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/langsmith-deployment .agents/skills/langsmith-deployment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "langsmith-deployment" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langsmith-deployment into .agents/skills/langsmith-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith-deployment", 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 soba-labs/langchain-agent-skills --skill langsmith-deployment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install soba-labs/langchain-agent-skills langsmith-deployment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/langsmith-deployment .cursor/skills/langsmith-deployment && 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 "langsmith-deployment" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langsmith-deployment into .cursor/skills/langsmith-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith-deployment", 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/soba-labs/langchain-agent-skills.git --path skills/langsmith-deployment--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 soba-labs/langchain-agent-skills --skill langsmith-deployment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install soba-labs/langchain-agent-skills langsmith-deployment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/langsmith-deployment .gemini/skills/langsmith-deployment && 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 "langsmith-deployment" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langsmith-deployment into .gemini/skills/langsmith-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith-deployment", 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 soba-labs/langchain-agent-skills langsmith-deploymentInstalls 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 soba-labs/langchain-agent-skills --skill langsmith-deployment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/langsmith-deployment .github/skills/langsmith-deployment && 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 "langsmith-deployment" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langsmith-deployment into .github/skills/langsmith-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith-deployment", 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 soba-labs/langchain-agent-skills --skill langsmith-deployment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install soba-labs/langchain-agent-skills langsmith-deployment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/soba-labs/langchain-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/langsmith-deployment .opencode/skills/langsmith-deployment && 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 "langsmith-deployment" agent skill from https://github.com/soba-labs/langchain-agent-skills/tree/main/skills/langsmith-deployment into .opencode/skills/langsmith-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith-deployment", 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.
langsmith-deploymentDeploy and operate production agent servers with LangSmith Deployment.
Langsmith Deployment is an agent skill from soba-labs/langchain-agent-skills. Deploy and operate production agent servers with LangSmith Deployment. Use when work involves choosing Cloud vs Hybrid/Self-hosted-with-control-plane vs Standalone, preparing/validating langgraph.json, creating deployments or revisions, rolling back revisions, wiring CI/CD to control-plane APIs, configuring environment variables and secrets, setting monitoring/alerts/webhooks, or troubleshooting deployment/runtime/scaling issues for LangChain/LangGraph applications.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including scripts, reference files and assets (for example `assets/templates/github-actions-deploy.yml`, `assets/templates/kubernetes-deployment.yaml` and `assets/templates/langgraph-cloud.json`).
It sits in AI & LLM Engineering, covering Deployment, LLM observability and Building AI agents. It works with LangSmith, LangGraph and LangChain. The repository describes itself as: A collection of agent-optimized LangChain, LangGraph and LangSmith skills for AI coding assistants. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit a2d4a10. 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.
Ships 5 files in scripts/ (Python and TypeScript), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LANGSMITH_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Langsmith Deployment loads about 1.7k tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 123 tokens; SKILL.md has 561 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); the scripts in this folder are not scanned.
The full file from soba-labs/langchain-agent-skills at commit a2d4a10, republished under its MIT licence (© soba-labs). 561 words, ~1,706 tokens.
.claude/skills/langsmith-deployment/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.Use this skill to deploy, revise, monitor, and troubleshoot LangGraph-based agents in LangSmith Deployment.
langgraph.json validation and deployment compatibility checks.| Model | Use when | Build/Source | Operates infra |
|---|---|---|---|
| Cloud | Fastest managed production path | GitHub repo via control plane | LangSmith |
| Hybrid/Self-hosted with control plane | You need private data plane + centralized deployment UI/API | Container image + control plane | You |
| Standalone server | You want direct Agent Server hosting without control plane | Containerized server | You |
langgraph.jsonuv run python skills/langsmith-deployment/scripts/validate_deployment.py --config langgraph.json --target clouduv run python skills/langsmith-deployment/scripts/deploy_to_langsmith.py \
--name "my-agent-prod" \
--owner my-org \
--repo my-agent-repo \
--branch main \
--config langgraph.jsonuv run python skills/langsmith-deployment/scripts/deploy_to_langsmith.py \
--name "my-agent-prod" \
--owner my-org \
--repo my-agent-repo \
--region euuv run python skills/langsmith-deployment/scripts/deploy_to_langsmith.py \
--name "my-agent-prod" \
--owner my-org \
--repo my-agent-repo \
--control-plane-url https://<your-langsmith-host>/api-hostuv run python skills/langsmith-deployment/scripts/deploy_to_langsmith.py \
--name "my-agent-prod" \
--owner my-org \
--repo my-agent-repo \
--deployment-id <deployment-id> \
--branch mainuv run python skills/langsmith-deployment/scripts/rollback_deployment.py \
--deployment-id <deployment-id> \
--list-revisions
uv run python skills/langsmith-deployment/scripts/rollback_deployment.py \
--deployment-id <deployment-id>uv run python skills/langsmith-deployment/scripts/setup_monitoring.py \
--project my-agent-prod \
--output-json /tmp/monitoring-plan.jsonNote: setup_monitoring.py generates a docs-aligned setup plan/templates. Alerts are configured in LangSmith UI per project.
graphs is required in langgraph.json.dependencies is required.node_version present), dependencies may be handled via package.json.env may be either a string path to an env file or an inline object map.python_version should be one of 3.11, 3.12, 3.13 when set.pip_installer should be one of auto, pip, uv when set.node_version currently documented for LangGraph.js as 20.https://api.host.langchain.com.https://eu.api.host.langchain.com.https://<host>/api-host.X-Tenant-Id), exposed by scripts as --tenant-id.langgraph.json or source code.LANGSMITH_API_KEY env var.DATABASE_URI, REDIS_URI, license key, and any app provider keys)./docs etc.).references/deployment-guide.md: Deployment model choice and end-to-end execution.references/cicd-integration.md: CI/CD stages, control-plane automation patterns, preview/prod strategy.references/environment-management.md: Env var sources, secrets patterns, standalone required vars.references/monitoring-alerts.md: Dashboards, alert model, webhook payload guidance.references/scaling-configuration.md: Scaling responsibilities by model and tuning knobs.references/troubleshooting-deployment.md: Failure triage and rollback strategy.scripts/validate_deployment.py: Validate langgraph.json and deployment readiness.scripts/deploy_to_langsmith.py: Create deployment or revision via control-plane API.scripts/deploy_to_langsmith.ts: TypeScript equivalent deploy/revision script.scripts/rollback_deployment.py: List and rollback revisions.scripts/setup_monitoring.py: Generate alert/dashboard/webhook setup plan.assets/templates/langgraph-cloud.json: Cloud-oriented starter config.assets/templates/github-actions-deploy.yml: CI/CD template for deployment automation.assets/templates/kubernetes-deployment.yaml: Kubernetes template for self-managed environments.assets/templates/.env.example: Env var template for safe sharing.© soba-labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 15 other files (scripts, references, assets) in skills/langsmith-deployment of soba-labs/langchain-agent-skills.
Open the folder on GitHubat commit a2d4a10
Langsmith Deployment 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 |
|---|---|---|---|---|---|---|
| Langsmith Deployment this skillsoba-labs/langchain-agent-skills | 107 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Agentsop Observability Setupagentsope/SkillAlchemy | 459 | — | ~4.4k | Automated safety check: Pass | MIT | |
| LangSmith Trace DebuggingComposioHQ/awesome-claude-skills | 77k | 9 repos | ~2.7k | Automated safety check: Pass | None | |
| Langchain Dependencieslangchain-ai/langchain-skills | 1.3k | 1 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Langsmithlangchain-ai/docs | 425 | — | ~935 | Automated safety check: Pass | MIT | |
| Verify Against Sourcelangchain-ai/docs | 425 | — | ~1.6k | Automated safety check: Pass | MIT |
agentsope/SkillAlchemy
Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover.
ComposioHQ/awesome-claude-skills
Debugs LangChain and LangGraph agents by pulling recent execution traces with the langsmith-fetch CLI and reporting errors, tool calls, timings and token use.
langchain-ai/langchain-skills
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents.
langchain-ai/docs
Trace, evaluate, and deploy AI agents and LLM applications with LangSmith.
langchain-ai/docs
Check that a code sample, API signature, default, or behavior claim in the docs is actually true, by running it or reading the product source.
jeremylongshore/tons-of-skills-marketplace
Produce a reproducible, sanitized diagnostic bundle for a LangChain / LangGraph incident — environment snapshot, version manifest, filtered astreamevents(v2) transcript, propagating callback stack…
soba-labs/langchain-agent-skills
Use the writetodos tool effectively for task planning and decomposition in Deep Agents.
soba-labs/langchain-agent-skills
Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the deepagents package.
soba-labs/langchain-agent-skills
Implement multi-agent coordination patterns (supervisor-subagent, router, orchestrator-worker, handoffs) for LangGraph applications.
soba-labs/langchain-agent-skills
Implement LangGraph error handling with current v1 patterns.
soba-labs/langchain-agent-skills
Initialize and configure LangGraph projects with proper structure, langgraph.json configuration, environment variables, and dependency management.
soba-labs/langchain-agent-skills
Design state schemas, implement reducers, configure persistence, and debug state issues for LangGraph applications.
Categories
Deploy and operate production agent servers with LangSmith Deployment. Langsmith Deployment is an agent skill from soba-labs/langchain-agent-skills. Deploy and operate production agent servers with LangSmith Deployment.
Langsmith Deployment fits situations like: work involves choosing Cloud vs Hybrid/Self-hosted-with-control-plane vs Standalone; preparing/validating langgraph.json; creating deployments; rolling back revisions.
Run `npx skills add soba-labs/langchain-agent-skills --skill langsmith-deployment -a claude-code`. Or copy the skill folder (skills/langsmith-deployment in soba-labs/langchain-agent-skills) into .claude/skills/langsmith-deployment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add soba-labs/langchain-agent-skills --skill langsmith-deployment -a codex`. Or copy the skill folder (skills/langsmith-deployment in soba-labs/langchain-agent-skills) into .agents/skills/langsmith-deployment 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 soba-labs/langchain-agent-skills --skill langsmith-deployment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/langsmith-deployment, .gemini/skills/langsmith-deployment, .github/skills/langsmith-deployment and .opencode/skills/langsmith-deployment in your project.
Going by SKILL.md and its folder, Langsmith Deployment needs Python and TypeScript for the scripts in its folder, the command-line tools its instructions call (uv) and credentials named LANGSMITH_API_KEY. Our summary lists: Python 3; Node.js; A credential in LANGSMITH_API_KEY.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Langsmith Deployment is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Langsmith Deployment: Agentsop Observability Setup (agentsope/SkillAlchemy, 459 stars), LangSmith Trace Debugging (ComposioHQ/awesome-claude-skills, 77k stars), Langchain Dependencies (langchain-ai/langchain-skills, 1.3k stars) and Langsmith (langchain-ai/docs, 425 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
soba-labs (a GitHub organization) maintains it in soba-labs/langchain-agent-skills, which has 107 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 17, 2026.
Source: soba-labs/langchain-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.