Skill

openrouter-context-optimization

Optimize token usage and context window management. Use when reducing costs or fitting more information into model context. Trigger with phrases like 'openrouter context', 'token optimization', 'context window', 'reduce tokens'.

From openrouter-pack

Install

Run in your terminal

npx claudepluginhub nickloveinvesting/nick-love-plugins --plugin openrouter-pack

Tool Access

This skill is limited to using the following tools:

ReadWriteEditGrep

Supporting Assets

View in Repository

references/context-recycling.md

references/context-truncation.md

references/efficient-message-patterns.md

references/errors.md

references/examples.md

references/model-specific-optimization.md

references/prompt-optimization.md

references/response-length-control.md

references/token-estimation.md

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Stats

Parent Repo Stars0

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Last CommitMar 20, 2026

Actions

View Source View Plugin View on GitHub View README

Instructions

Count tokens before sending: Use tiktoken (Python) or js-tiktoken (JS) to estimate token counts before making API calls; abort if the prompt exceeds the model's context limit

Implement conversation pruning: For multi-turn chats, drop or summarize older messages when total tokens approach the context limit, keeping system prompts and recent messages

Optimize system prompts: Move static instructions to the system message and keep them concise; every token in the system prompt is repeated on every request

Use response length controls: Set max_tokens to the minimum needed for your use case; shorter completions cost less and return faster

Select models by context need: Route short-context tasks to cheaper models and reserve large-context models (128K+) for tasks that genuinely need them

Error Handling

Error

Cause

Fix

400 context_length_exceeded

Prompt + max_tokens exceeds model limit

Prune messages or switch to a model with a larger context window

Truncated responses

max_tokens set too low

Increase max_tokens or split the task into smaller requests

Token count mismatch

Wrong tokenizer for the model

Use the correct tokenizer per model family; fall back to rough estimation (1 token ~ 4 chars)

See ${CLAUDE_SKILL_DIR}/references/errors.md for full error reference.

Openrouter Context Optimization

Overview

This skill covers techniques for managing token budgets, optimizing prompt length, and making the most of each model's context window.

Prerequisites

OpenRouter integration
Tokenizer library (tiktoken for OpenAI models, or approximate counting)

Instructions

Count tokens before sending: Use tiktoken (Python) or js-tiktoken (JS) to estimate token counts before making API calls; abort if the prompt exceeds the model's context limit
Implement conversation pruning: For multi-turn chats, drop or summarize older messages when total tokens approach the context limit, keeping system prompts and recent messages
Optimize system prompts: Move static instructions to the system message and keep them concise; every token in the system prompt is repeated on every request
Use response length controls: Set max_tokens to the minimum needed for your use case; shorter completions cost less and return faster
Select models by context need: Route short-context tasks to cheaper models and reserve large-context models (128K+) for tasks that genuinely need them

Output

Token budget calculator that warns before exceeding context limits
Conversation pruning middleware that keeps chats within context bounds
Cost reduction from optimized prompt engineering (typically 20-40% savings)

Error Handling

Error	Cause	Fix
400 `context_length_exceeded`	Prompt + max_tokens exceeds model limit	Prune messages or switch to a model with a larger context window
Truncated responses	`max_tokens` set too low	Increase `max_tokens` or split the task into smaller requests
Token count mismatch	Wrong tokenizer for the model	Use the correct tokenizer per model family; fall back to rough estimation (1 token ~ 4 chars)

See ${CLAUDE_SKILL_DIR}/references/errors.md for full error reference.

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for runnable code samples.

openrouter-context-optimization

openrouter-context-optimization

Openrouter Context Optimization

Overview

Prerequisites

Instructions

Output

Error Handling

Examples

Resources

Openrouter Context Optimization

Overview

Prerequisites

Instructions

Output

Error Handling

Examples

Resources