Prompt caching — LLM caching strategies and patterns

Prerequisites: access to an LLM API whose caching features you want to use (e.g. Anthropic prompt caching) — the skill is strategy guidance, not software Install "Prompt caching — LLM caching strategies and patterns" for me. It gives my agent @sickn33's LLM caching playbook (adapted from vibeship-spawner-skills, Apache 2.0): Anthropic's native prompt caching for stable prefixes, response caching (Redis/Upstash patterns), KV-cache concepts, Cache-Augmented Generation (CAG) patterns and cache invalidation, with scope boundaries (no CDN or DB query caching) and a recommended context-window-management companion. MIT-licensed. Repository: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/prompt-caching/SKILL.md 1. Fetch the SKILL.md file (and any helper files) from the repository path into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "prompt-caching". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. provide my LLM API key via the secure vault and tell the agent which prompts to cache; nothing else — it's a strategy guide). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.