Agent Skills
Give Feedback

Overview

Updated on July 14, 2026

Agent Skills are reusable instruction packs that encode Tradeics developer conventions. When an agent loads a skill, it inherits the right auth headers, API bases, safety rules, and product vocabulary before it writes code or proposes a change.

Skills vs MCP vs llms.txt

Surface Role Load when
Agent Skills Procedural guidance (“how to integrate Tradeics”) Agent starts a Tradeics task
/llms.txt Curated index of docs Agent needs a map of the hub
/llms-full.txt Full docs corpus Offline / deep research
MCP Servers Live tools against docs or workspace Agent must call APIs or search docs live

Skills never replace authentication: they teach the agent where credentials come from. See Authentication.

Skill catalog (structure)

Skill id (placeholder) Audience Primary outcomes
tradeics-docs Any agent answering from official docs Correct links, no invented routes
tradeics-platform Marketplace / S2P / sales integrators Correct domain model and workflows
tradeics-api Backend / middleware engineers REST V2 envelopes, pagination, clients
tradeics-ai Teams using the LLM proxy or AI helpers Safe inference + assistive boundaries

Package distribution (npm, GitHub, Cursor marketplace) lands when skills GA. Until then, treat these pages as the canonical outline teams and agents should follow.

Recommended stacking

  1. Install Tradeics Docs for every Tradeics conversation.
  2. Add Tradeics API when generating client code or Postman flows.
  3. Add Tradeics Platform or Tradeics AI for domain-specific work.
  4. Attach the matching MCP server for live lookups and actions.

Next