{"task":"Use Text2sql Data in an agent workflow","recommendations":[{"rank":1,"skill":"RD Agent","slug":"microsoft-rd-agent","description":"Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. 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Skill purpose: Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. 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Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Scientific Agent Skills\" from https://github.com/K-Dense-AI/scientific-agent-skills into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. 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Inspect the source, dependencies, and permission surface first.","auto_install_policy":"block","reasons":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access"]},"url":"https://www.openagentskill.com/skills/b3nnyl-figgo/audit"}],"suggested_composition":{"name":"microsoft-rd-agent-agent-stack","description":"Start with RD Agent, then add Scientific Agent Skills + Datadog Agent only if the workflow needs extra coverage.","skills":["microsoft-rd-agent","k-dense-ai-scientific-agent-skills","datadog-datadog-agent"],"steps":["Prototype the task with RD Agent as the primary skill.","Add the second skill only if the first one leaves a capability gap.","Keep the third skill as a fallback during evaluation instead of installing everything at once."]},"suggested_stacks":[{"slug":"web-data-pipeline","name":"Web data pipeline stack","url":"https://www.openagentskill.com/collections/web-data-pipeline","use_case":"web-scraping"},{"slug":"coding-review-agent","name":"Coding review agent stack","url":"https://www.openagentskill.com/collections/coding-review-agent","use_case":"coding-agents"}],"meta":{"timestamp":"2026-06-16T13:29:44.706Z","api_version":"1.0","total_skills_searched":10180,"blocked_candidates":4,"safety_policy":"Blocked candidates are excluded from recommendations. Verified and reviewed candidates receive ranking priority.","public_search_endpoint":"https://www.openagentskill.com/api/skills/search","agent_friendly":true}}