
Research Ops
This is a workflow coordinator that routes research tasks to the right tools instead of doing the research itself. It decides whether you need quick facts from exa-search, deeper synthesis from deep-research, or a formal recommendation from market-research, then structures the output with clear labels for sourced facts versus inference versus recommendation. The useful bit is the evidence hygiene: it makes you separate what the user already gave you from what you found from what you're guessing. If you're building anything that mixes user context with fresh web lookups, or you keep running the same research question manually, this gives you a consistent shape to work in. Mostly valuable as a pattern rather than automation.
- skills.sh installs
- 3.5K
- GitHub stars
- 229.1K
- last updated
- Jul 14, 2026
Install
$ npx -y skills add affaan-m/everything-claude-code --skill research-ops --agent claude-codeInstalls into .claude/skills of the current project.
Files
Research Ops
Use this when the user asks to research something current, compare options, enrich people or companies, or turn repeated lookups into a monitored workflow.
This is the operator wrapper around the repo's research stack. It is not a replacement for deep-research, exa-search, or market-research; it tells you when and how to use them together.
Skill Stack
Pull these ECC-native skills into the workflow when relevant:
exa-searchfor fast current-web discoverydeep-researchfor multi-source synthesis with citationsmarket-researchwhen the end result should be a recommendation or ranked decisionlead-intelligencewhen the task is people/company targeting instead of generic researchknowledge-opswhen the result should be stored in durable context afterward
When to Use
- user says "research", "look up", "compare", "who should I talk to", or "what's the latest"
- the answer depends on current public information
- the user already supplied evidence and wants it factored into a fresh recommendation
- the task may be recurring enough that it should become a monitor instead of a one-off lookup
Guardrails
Sponsors
Details
- Repository
- github.com/affaan-m/everything-claude-code
- Category
- Data Science & ML
- First seen
- Apr 16, 2026
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