../../../research/deep-research/skills/deep-research/SKILL.md
Deep Research
Official skill for Deep Research. Provides proven guidelines, workflows, and tools for AI agents.
Andromity loads skills from folders you trust. Install with andromity skill install deep-research — autonomy and approval limits stay configurable per session.
# Install the "Deep Research" skill You are installing an AgenticMarket skill into this workspace. Follow these steps exactly. ## 1. Detect your environment and choose the destination file - Andromity: `.andromity/skills/deep-research/SKILL.md` (or user scope `~/.andromity/skills/deep-research/SKILL.md`) - Antigravity / Gemini CLI: `.agent/skills/deep-research/SKILL.md` - Cursor: `.cursor/rules/deep-research.mdc` - Claude Code: append to `CLAUDE.md` (or `.claude/skills/deep-research.md`) - Windsurf: append to `.windsurfrules` - Cline / Roo Code: `.clinerules/deep-research.md` - GitHub Copilot: append to `.github/copilot-instructions.md` - ChatGPT / web only: paste the content into Custom Instructions - Any other agent: save to `.agent/skills/deep-research/SKILL.md` ## 2. Create the destination file - Preserve every existing file and configuration entry. - Create parent folders as needed. - Never overwrite unrelated content. ## 3. Write exactly this content ```markdown --- name: deep-research description: "Official skill for Deep Research. Provides proven guidelines, workflows, and tools for AI agents." author: community license: mit version: 1.0.0 --- ../../../research/deep-research/skills/deep-research/SKILL.md ``` ## 4. Verify - Confirm the file exists and is readable. - Report the destination path and confirm the "Deep Research" skill is installed and active. Skill metadata: - Slug: deep-research - Category: seo - License: mit - Source: https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/.gemini/skills/deep-research/SKILL.md
Skill Specification & Instructions
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When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' or 'optimize for Claude/Gemini.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema-markup.
Database Schema Designer
Official skill for Database Schema Designer. Provides proven guidelines, workflows, and tools for AI agents.
interview
Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT needing their API key yet. Use when the user says "help me scope an agent", "I have an idea for an agent", "what should this agent be", or when the orchestrator routes phase=interview. Drives the six intake slots (job, trigger, inputs, actions, definition-of-done, recurrence) via AskUserQuestion, maps them to primitives with interview_planner.py, assembles build-sheet.json with build_sheet_builder.py, and validates limits with primitives_validator.py. Connectors are mockable in v0 (schema-true custom tools); real MCP servers become v1 deferrals. Distinct from stage-launch (which turns the sheet into payloads).
AgenticMarket