prompt-caching-patterns
Use this skill when implementing caching for LLM applications. Activate when the user wants to reduce API costs through caching, implement semantic caching, cache LLM responses, optimize repeated prom…
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Use this skill when implementing caching for LLM applications. Activate when the user wants to reduce API costs through caching, implement semantic caching, cache LLM responses, optimize repeated prom…
Use when downloading videos, audio, or captions from YouTube and other video platforms. Supports quality selection.
Update, archive, and delete LaunchDarkly AI Configs and their variations. Use when you need to modify config properties, change model parameters, update instructions or messages, archive unused config…
Guide for setting up AI configuration in your application. Helps you choose between agent vs completion mode, select the right approach for your stack, and create AI Configs that make sense for your u…
Diligence Q&A process acceleration. Synthesizes approved VDR documents, disclosure schedules, and prior responses to auto-draft defensible answers to buyer diligence questions. Routes drafts for exper…
Synthesize unstructured thinking into a structured, actionable plan. Use when user provides stream-of-consciousness thoughts, scattered notes, or a brain dump and needs them organized into a coherent …
Build AI that takes actions, calls APIs, and does things autonomously. Use when you need AI to call APIs, use tools, perform calculations, search the web and act on results, interact with databases, o…
Collaborative presentation authoring that transforms ideas, outlines, or existing slides into Talk Track v5 format through structured interview, thread tracking, and voice calibration.
Use this skill when implementing audit logging for AI systems. Activate when the user needs to track AI decisions for compliance, implement audit trails for LLM usage, meet regulatory requirements (EU…
Use when converting between caption formats (SRT, VTT, ASS, TTML, Gemini MD, etc.). Supports 30+ caption formats.
Guide for giving your AI agents capabilities through tools. Helps you identify what your AI needs to do, create tool definitions, and attach them in a way that makes sense for your framework.
A dynamic pattern where an agent system modifies its own behavior, prompts, or tools over time based on feedback or performance metrics. Use when user asks to "make my agent adaptive", "add learning c…
Adaptive multi-agent system for real estate investment analysis — deal screening, underwriting, pro forma modeling, financing strategies, tax optimization, stress testing, syndication structuring, and…
Describe your AI problem and get routed to the right skill with a ready-to-use prompt. Use when you're not sure which ai- skill to use, want help picking the right approach, or just want to describe w…
Extract and structure claims from discourse into analyzable argument maps with logical relationships and assumptions. Use when analyzing arguments, red-teaming reasoning, synthesizing debates, or tran…
Generate a standalone HTML reader with Kokoro TTS audio and word-synced highlighting from any markdown file. Use when user wants to listen to an essay, proofread by ear, or create an audio reader.
Use this skill when implementing model selection for LLM applications. Activate when the user needs to choose between different AI models, implement cost-efficient model routing, balance quality vs co…
Use when translating captions/captions to another language. Supports bilingual output and context-aware translation. Default uses Claude native, Gemini API optional.
Guide for experimenting with AI configurations. Helps you test different models, prompts, and parameters to find what works best through systematic experimentation.
A fundamental pattern where the output of one LLM call serves as the input for the next, enabling complex tasks to be broken down into manageable sequential steps. Use when user asks to "chain prompts…
Visual design guidance for bold, minimal presentations. Provides layout patterns, typography hierarchy, color specifications, and slide composition rules. Use when asking "how should this slide look?"…
Pull structured data from messy text using AI. Use when parsing invoices, extracting fields from emails, scraping entities from articles, converting unstructured text to JSON, extracting contact info,…
Transform written essays into spoken word presentations while preserving source material. Also renders training module facilitator artifacts as standalone HTML document viewers. Use when adapting essa…
Run danielmiessler/fabric CLI patterns for content analysis, extraction, summarization, writing, security analysis, and more. Use when user asks to "use fabric," "run a pattern," "extract wisdom," "su…