feat: add algobot-cli skill for Agent Studio management#7
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feat: add algobot-cli skill for Agent Studio management#7
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- Broaden description to trigger on RAG, conversational experiences, genAI content generation (carousels, headers, product descriptions) even when user doesn't mention algobot/Agent Studio by name - Add Agent Studio Capabilities section: memory tools (algolia_memorize, algolia_ponder, algolia_memory_search), MCP tool integrations, and experimental features (citation markers, date injection, caching) - Add gotcha: don't fabricate REST endpoint URLs — use algobot agents get - Add explicit algobot tools list/add/remove for MCP configuration - Add 9 evals covering RAG, conversational, genAI carousel, multi-env deploy, memory, GDPR, MCP tools, InstantSearch coexistence, citations - Validated via two eval iterations (91.9% pass rate in iteration 2)
Switch from passive "Use this skill whenever..." to assertive ALWAYS + explicit trigger keyword list. Addresses undertriggering in skill selection — makes trigger intent unambiguous even when user doesn't name Agent Studio or algobot explicitly.
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Summary
New skill for managing Algolia Agent Studio agents from the terminal via
algobot(npm:algobot-ai).What's included
SKILL.md(152 lines) — setup, non-interactive mode gotchas, core commands, config-as-code workflow, global flagsreferences/commands.md— full command reference for every subcommandreferences/config-as-code.md— templates, variables, multi-env, CI/CD patternsKey gotchas captured
askor--textmode--dry-runis API-layer enforced, not just a flag--jqis built-in, no need to pipe to jq