Configure Celigo AI agents and guardrails

Prerequisites: a Celigo platform account (paid iPaaS — AI-agent usage counts against the monthly AI token quota); optionally your own OpenAI/Gemini API key for BYOK — the skill is guidance the agent follows, not software Install "Configure Celigo AI agents and guardrails" for me. It gives my agent @celigo's workflow for building LLM-powered import steps and guardrails in Celigo flows: provider choice (OpenAI vs Gemini), prompt design, structured output (json_schema/text/blob), tool use (web search, MCP, Celigo Tools), response mapping, conversation history, Celigo AI vs BYOK, a capability check before building, CLI commands (celigo ai-agents, celigo guardrails), pre-submit checklist, gotchas and a common-errors table. MIT-licensed. Repository: https://github.com/celigo/ai/blob/main/skills/configuring-ai-agents/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 "configuring-ai-agents". 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. hand the agent a Celigo account with the CLI configured; add my API key to the vault for BYOK). 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.