Senior prompt engineer — system prompts, agent instructions and structured output patterns

Prerequisites: an LLM app or agent to prompt — the skill is a prompt-crafting methodology the agent follows, not software Install "Senior prompt engineer — system prompts, agent instructions and structured output patterns" for me. It gives my agent @davila7's prompt-engineering toolkit: system-prompt architecture, instruction hierarchy, few-shot example design, structured-output patterns (JSON schemas, constrained formats), evaluation loops, and ready-made templates. NOTE: prompting practices evolve with models — treat templates as starting points and evaluate against your target model. MIT-licensed. Repository: https://github.com/davila7/claude-code-templates/blob/main/cli-tool/components/skills/development/senior-prompt-engineer/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. 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 "senior-prompt-engineer". 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. tell the agent the target model and the task to prompt for; nothing else — it's a prompt-crafting methodology). 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.