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Found 1,280 Skills
Build AI phone agents with AgentPhone API. Use when the user wants to make phone calls, send/receive SMS, manage phone numbers, create voice agents, set up webhooks, or check usage — anything related to telephony, phone numbers, or voice AI.
Compress and simplify prompts to preserve meaning while reducing use of context
[QwenCloud] Recommend the best Qwen model and parameters. TRIGGER when: choosing between Qwen models, comparing Qwen model pricing, understanding Qwen model capabilities, when an execution skill needs model selection advice, or user explicitly invokes this skill by name (e.g. use qwencloud-model-selector). DO NOT TRIGGER when: non-Qwen model discussions (OpenAI, Gemini, etc.), general AI questions unrelated to Qwen.
Guide for building high-quality MCP (Model Context Protocol) servers in Python or Node/TypeScript to integrate external APIs/services.
Comprehensive multi-perspective review using specialized judges with debate and consensus building
Generate or update AGENTS.md for a repository or VS Code workspace, create CLAUDE.md and GEMINI.md shims, build a project matrix with stable project codes, and include UBIQUITOUS_LANGUAGE.md as required context.
Answers questions about the wiki knowledge base. Activates when the user asks about concepts, processes, entities, or any wiki content.
Use when bootstrapping a new personal wiki for any knowledge domain — research, codebase documentation, reading notes, competitive analysis, or any long-term knowledge accumulation project.
OpenRouter integration. Manage data, records, and automate workflows. Use when the user wants to interact with OpenRouter data.
Anthropic integration. Manage data, records, and automate workflows. Use when the user wants to interact with Anthropic data.
This skill should be used when the user asks to "optimize a DSPy program", "use MIPROv2", "tune instructions and demos", "get best DSPy performance", "run Bayesian optimization", mentions "state-of-the-art DSPy optimizer", "joint instruction tuning", or needs maximum performance from a DSPy program with substantial training data (200+ examples).
Create narrative lore entries that transform technical work into mythological stories. Use when generating agent memory, documenting changes as narrative, or building persistent knowledge through storytelling.