Agent skills for Cursor

Together AI performance tuning for inference, fine-tuning, and model

Together AI rate limits for inference, fine-tuning, and model deployment.

Agent basina token kullanimi takibi, maliyet optimizasyonu, butce limitleri ve ROI analizi.

Token economics simulation and analysis.

Reduce output and context tokens without losing technical accuracy.

Generate detailed token usage report with threshold analysis and recommendations

Integrates TokenLab AI APIs with contract-based model discovery, native endpoint mapping, and multi-language client code generation.

Pick TokenLab models for chat, coding, image, video, audio, embeddings, reranking, decisions, and translation by reading public model…

Use TokenLab native endpoint families such as Responses, Anthropic Messages, Gemini generateContent, System One decisions, media, audio…

Migrate OpenAI-compatible apps, SDKs, examples, and environment variables to TokenLab while preserving request semantics and adding live…

Finds new job postings matching your profile via installed portal-search CLIs (LinkedIn, local job boards, and any skills added with…

Make sure to use this skill whenever the user mentions anything related to job searching on Akademikernes Jobbank, jobbank.dk, or looking…

Make sure to use this skill whenever the user wants to search for jobs in Denmark, find Danish job listings, look up a specific job…

Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts…

Produce a system design doc — components, data flow, decisions made, tradeoffs, failure modes.

Build tools that agents can use effectively, including architectural reduction patterns.

Create runtime-aware hook enforcement for repo tool constraints.

Toolcraft: use before creating generated app features, changing behavior, or assembling app specs.

Audit the active toolguard permission configuration for security risks and flag dangerous allow rules and takeover-mode misconfigurations…

Give a NVIDIA OO agent capabilities — methods as tools, built-in tools (ShellTools, TodoManager), MCP servers, agent skills…

Toolset integration. Manage data, records, and automate workflows. Use when the user wants to interact with Toolset data.