Agent skill

langchain-performance-tuning

Tune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput,\n\ latency, and cost \u2014 streaming modes, explicit batch concurrency, semantic\n\ plus exact caches, persistent message history, and async-safe retriever\npatterns.\ \ Use when p95 latency exceeds target, batching \"does not work\",\ncost grows linearly\ \ with traffic, or a process restart wipes chat history.\nTrigger with \"langchain\ \ performance\", \"langchain slow batch\",\n\"langchain throughput\", \"langchain\ \ p95 latency\", \"semantic cache hit rate\".\n"

jeremylongshoregithub.com/jeremylongshoreGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-performance-tuning --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 14 KB
Bundled scripts: none
Version: 2.5.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEditBash(python:*)Bash(redis-cli:*)
Requires: Designed for Claude Code, also compatible with Codex
Path: skills/.curated/langchain-performance-tuning/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,596
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LangChain Performance Tuning ## Overview An engineer calls `chain.batch(inputs_1000)` expecting 1000 parallel LLM calls. Actual behavior: `Runnable.batch` and `Runnable.abatch` in LangChain 1.0 default to `max_concurrency=1`, so the 1000 inputs run **sequentially with bookkeeping overhead** — sometimes slower than a plain `for` loop. This is pain-catalog entry P08. The fix is one line: ```python

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About this skill
What does the langchain-performance-tuning skill do?

Tune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput,\n\ latency, and cost \u2014 streaming modes, explicit batch concurrency, semantic\n\ plus exact caches, persistent message history, and async-safe retriever\npatterns.\ \ Use when p95 latency exceeds target, batching \"does not work\",\ncost grows linearly\ \ with traffic, or a process restart wipes chat history.\nTrigger with \"langchain\ \ performance\", \"langchain slow batch\",\n\"langchain throughput\", \"langchain\ \ p95 latency\", \"semantic cache hit rate\".\n"

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-performance-tuning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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