from atypica-research-skill39
Connector skill that exposes atypica.ai multi-agent research tools via MCP for consumer research, market analysis, and report/podcast artifact generation.
Provides an interface and usage guide for interacting with atypica.ai's multi-agent research platform over MCP. It documents session creation, message flow, polling for progress, handling user interactions (plan confirmation, choice prompts), and retrieving artifacts like reports and podcasts.
Use when you need to run structured consumer or market research from within an assistant environment — e.g., run studies, collect interview transcripts, generate reports or podcasts, or orchestrate multi-step research workflows. Requires an atypica API key or MCP server configuration.
Agents that support MCP protocol or custom tool integrations (Claude Desktop, MCP-enabled assistants, or any agent able to call external HTTP tools).
Connector skill for atypica.ai multi-agent research platform. SKILL.md is exceptionally well-documented with TypeScript examples, full API reference, and clear workflow guidance. The bundled bash script (mcp-call.sh) is clean with proper error handling and argument parsing — it exited 1 in dry-run due to missing required arguments (tool_name and json_args), which is correct behavior. No security concerns found; token is required explicitly and not hardcoded.
jqWell-crafted API connector skill. SKILL.md is one of the most thorough I've seen — includes TypeScript type definitions, workflow patterns, polling strategies, and interaction handling. The bash script is production-quality with set -euo pipefail, proper error/usage functions, and SSE format handling. No security issues.
