1.5K skills · sorted by relevance
Monitor AI provider health, response times, usage quotas, and spending alerts in OmniRoute. Inspect circuit breakers, which temporarily block failing providers, and configure whether reaching a budget limit switches models, blocks requests, or issues warnings.
Manage OmniRoute API keys and provider authentication from the command line. Register, rotate, or revoke keys, inspect usage and expiration, set spending and model restrictions, and start or check OAuth sign-in connections.
Manage applications in the Flow Nexus marketplace, from finding and publishing apps to deploying templates with configuration settings. The skill also supports version management, usage analytics, and reviews of application quality and security.
Analyze the last seven days of agent and model token usage to identify unnecessary spending. Recommend changes to model selection, prompt caching, and overlapping work, with estimated dollar savings, percentage reductions, and implementation priorities.
Compare recorded agent spending with a project budget and receive alerts at four usage thresholds. Review remaining funds and recommended actions, or use the check to block agent launches when the budget is exhausted.
Generate a spending report from recorded AI usage, with token counts and USD costs grouped by model, agent, and processing tier. Check budget utilization, remaining funds, and alerts for a selected period.
Retrieve a single snapshot of recorded AI costs, including total spending, model breakdowns, the highest-cost session, and budget usage. Export JSON for scripts and dashboards, or Markdown for a quick review.
Review estimated spending, token usage, and cache hit ratios across Claude Code, Codex, and Grok using local logs. Filter by time, project, or provider, while keeping currencies separate and identifying models without pricing.
Review an AI team's recorded progress, blockers, task ownership, and budget usage. This read-only skill separates recorded claims from verified evidence and highlights the next decision the user needs to make.
Measure performance in the agentic-flow worker system, including trigger detection, agent selection, caching, and concurrent operations. Run a full suite or individual benchmarks to compare response times and resource usage against configured targets.
Fetch execution traces, records of an agent’s actions, from LangSmith Studio to debug LangChain and LangGraph agents. Inspect errors, tool calls, memory operations, execution times, and token usage, or export records for further review.
Improve Remotion Studio rendering performance by limiting which components update with every frame. The skill guides on-demand timeline reads and React.memo usage, helping keep stable components from rerendering unnecessarily while preserving updates where the displayed frame matters.
Create a new @remotion package within the Remotion monorepo, a repository containing multiple packages. Set up its files, register it across the project, and prepare documentation, usage examples, and build configuration.
Find current documentation and code examples through the Context7 MCP server. Look up library setup, API usage, migration steps, and library-specific problems, using documentation for the requested version when available.
Manage AI coding tool configurations through CC Switch from the terminal. Switch active providers, adjust settings, enable MCP servers that connect agents to external tools, and inspect API usage, costs, installed skills, and conversation sessions.
Design subscription retention workflows for customers who choose to cancel and those whose payments fail. The skill covers cancellation surveys, relevant offers, pauses, payment retries, reminder emails, usage-based warning signals, and metrics for evaluating retention efforts.
Design and improve in-app screens that invite users to pay or upgrade. Plan messages, timing, feature previews, and payment steps for usage limits, locked features, and trial endings, with clear options to dismiss or continue free.
Add end-to-end tests, which check complete usage flows, and API tests for features that already work. Follow the project's existing test setup to extend automated coverage without introducing a separate testing approach.
Create reusable agent skills or improve existing ones through test prompts and user feedback. Compare output quality, execution time, and token usage against a baseline, then refine instructions and descriptions so the skill is invoked in appropriate situations.
Build Java applications that store, query, update, and delete data in Azure Cosmos DB. Covers synchronous and asynchronous clients, partition keys for distributing data, consistency settings, request usage, and error handling.
Build text translation into Python applications with Azure AI Translator. Covers translation into multiple languages, language detection, transliteration to another writing system, dictionary entries, usage examples, and asynchronous requests for handling larger workloads.
Research uncertain design choices, algorithms, or API usage through approved web searches or optional ChatGPT consultation. Get concise options with sources, with separate approval required before sending text externally and before implementing a chosen approach.
Generate client libraries for REST APIs, with authentication, retries, typed request and response models, error classes, and pagination helpers. Language-specific patterns and usage examples show how applications can call API resources.
Helps design focused AI products built on APIs such as OpenAI and Anthropic. Covers product strategy, prompts, model selection, user experience, usage tracking, and cost management for tools aimed at solving specific customer problems.