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Mailsoftly Automation Guide

mailsoftly-automation

ComposioHQ/awesome-claude-skills

Guidelines for automating Mailsoftly tasks through Composio’s Mailsoftly toolkit via Rube MCP, covering discovery, connection checks, execution steps, and schema-aware tool usage for reliable workflows.

Mistral Cost Tuning

mistral-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimizes Mistral AI spending by selecting models per task, estimating token costs, enforcing daily/monthly budgets, monitoring usage, and tightening prompts—ideal for teams watching billing, cutting API spend, and triggering budget alerts.

Mistral Observability Stack

mistral-observability

jeremylongshore/claude-code-plugins-plus-skills

Instrument Mistral AI clients, expose Prometheus metrics, configure alerts, and build Grafana dashboards to keep API usage, latency, cost, and errors in check.

OpenRouter Team Setup

openrouter-team-setup

jeremylongshore/claude-code-plugins-plus-skills

Set up OpenRouter for teams by configuring multi-user access, RBAC permissions, and department billing with usage tracking; ideal for onboarding departments or sharing secure API keys across an organization.

OpenRouter Usage Analytics

openrouter-usage-analytics

jeremylongshore/claude-code-plugins-plus-skills

Implements tracking, dashboards, and verification steps to analyze OpenRouter usage patterns, helping teams optimize costs and monitor integrations with concrete metrics and usage-driven insights.

Deep Learning Optimization

optimizing-deep-learning-models

jeremylongshore/claude-code-plugins-plus-skills

Optimizes deep learning models by analyzing architecture, data, and metrics to select optimizers, learning rate schedules, and regularization strategies, then outputs optimized code and evaluates accuracy, time, and resource usage.

LLM Prompt Optimizer

optimizing-prompts

jeremylongshore/claude-code-plugins-plus-skills

Optimizes prompts for LLMs to cut token usage, lower costs, and boost response quality by analyzing, condensing, and rewriting instructions; useful when teams need faster, cheaper, clearer AI conversations.

Perplexity Cost Tuning

perplexity-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Optimize Perplexity AI search billing by routing queries to the right model, caching responses, limiting token output, filtering domains, and monitoring usage so your API spend stays predictable.

Perplexity Enterprise RBAC

perplexity-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

Sets up Perplexity Enterprise RBAC with SSO, organization controls, and model-restricted API keys for teams, includes gateway routing, domain filtering, usage monitoring, and key rotation routines.

Retell AI Cost Tuning

retellai-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides teams through analyzing Retell AI billing, tuning call durations, choosing cheaper voice models, and monitoring usage so they can reduce minute-based voice-agent costs and set budget alerts.

Speak SDK Best Practices

speak-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

Provides production-ready TypeScript and Python patterns for Speak’s REST API, covering pronunciation assessment, conversation practice, batch handling, and rate-limited workflows so teams can integrate language-learning features with consistent SDK usage.

Rapid Unsloth Fine-Tuning

Orchestra-Research/AI-Research-SKILLs

Provides expert guidance on Unsloth to accelerate fine-tuning via LoRA/QLoRA, reduce memory usage, and streamline API usage, debugging, and best practices.

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