Summary
This is a routing layer that decides which research tool to use and when. If someone asks you to look something up, compare options, or enrich a lead, it picks between exa-search for quick facts, deep-research for multi-source synthesis, market-research for recommendations, or lead-intelligence for people targeting. The useful part is the output format: it separates sourced facts from user context from inference from recommendation, so you know what's fresh evidence versus logical leap. It also flags when a research question is repetitive enough to deserve a monitor instead of running the same search manually forever. Think of it as research triage for ECC's evidence stack.
Install to Claude Code
npx -y skills add affaan-m/ecc --skill research-ops --agent claude-codeInstalls into .claude/skills of the current project.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
