mcpField
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fusion-research

fusion-research

github.com/equinorDevelopment1.4k installs
Repository

About fusion-research

fusion-research is a skill for answering source-backed questions about the Fusion ecosystem. It routes research across framework, EDS, skills, platform documentation, and backend code domains, while excluding implementation work and MCP setup.

Key features

  1. 01Routes questions to five research domains
  2. 02Provides domain-specific research agents
  3. 03Requires source paths and supporting excerpts
  4. 04Separates research from implementation and setup

Use cases

  1. 01Check props or usage for an EDS component
  2. 02Find documentation for a Fusion hook or package
  3. 03Research platform onboarding or governance guidance

MCP support

The skill's research agents use Fusion MCP search tools for framework, EDS, skills, docs, and backend code queries.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/equinor/fusion-skills --skill fusion-research

After installing, type/fusion-researchin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

CHANGELOG.md
agents/
backend-code.agent.md
docs.agent.md
eds.agent.md
framework.agent.md
skills.agent.md
assets/
docs.follow-up.md
eds.follow-up.md
framework.follow-up.md
skills.follow-up.md
source-backed-answer-template.md
references/
backend-code.query.md
docs.query.md
eds.query.md
framework.query.md
skills.query.md

Details

From the project README

Fusion Research

When to use

Use this skill when a user needs a source-backed answer about the Fusion ecosystem.

Typical triggers:

  • "Research this Fusion Framework hook and show me the supporting source."
  • "What props does this EDS component accept?"
  • "Which skill handles X in a Fusion workflow?"
  • "Find a source-backed example for…"
  • "Which Fusion package or module owns this API?"
  • "Is there an EDS design token for this value?"
  • "How can I persist user preferences in a Fusion app?"
  • "What's the recommended pattern for X in Fusion?"
  • "Show me a Fusion Framework example for building X."
  • "What are the design tokens for color and spacing in EDS?"
  • "How does Fusion handle X at the platform level?"
  • "What is the Fusion platform guidance on Y?"
  • "How do I onboard to Fusion?"
  • "What are the guidelines for Z in the Fusion platform?"

When not to use

Do not use this skill for:

  • implementing code changes — use fusion-app-react-dev or the relevant dev skill; if the research is for a specific app you are actively building, use fusion-app-react-dev first — it will call this skill when needed
  • finding, installing, updating, or removing skills — use fusion-discover-skills; use this skill only to understand a skill's scope, relationships, or catalog fit — not to discover what to install
  • creating or editing skill files — use fusion-skill-authoring for authoring-time research
  • Fusion MCP installation or troubleshooting — use fusion-mcp; once MCP is running, return here for research
  • pure conceptual Fusion questions with no specific artifact name (hook, component, package, token, or platform topic) — ask the user for a concrete artifact reference or platform topic first

Instructions

Step 0 — Sharpen scope (optional)

Before classifying, you may use the domain-specific follow-up questions to narrow the user's exact need:

Skip this step if the question already names a specific artifact (hook, component, package, token, or skill).

Step 1 — Classify the research question

Determine which domain the question belongs to:

DomainIndicatorsAgent
FrameworkFusion Framework hooks, packages, modules, TypeScript APIs, cookbook examplesagents/framework.agent.md
EDSEDS component props, usage examples, accessibility, design tokensagents/eds.agent.md
SkillsSkill catalog lookup, scope boundaries, companion/orchestrator relationshipsagents/skills.agent.md
DocsFusion platform concepts, onboarding, platform operations, governance, non-implementation guidanceagents/docs.agent.md
Backend CodeC# service implementations, interfaces, CQRS patterns, authorization, validation, cross-service APIsagents/backend-code.agent.md

If the question spans multiple domains, answer each domain separately using the appropriate agent in sequence.

Step 2 — Dispatch to the correct agent

If the runtime supports skill-local agents, invoke the agent directly. Otherwise, apply the agent's instructions inline.

Step 3 — Return the source-backed answer

Use the structure in assets/source-backed-answer-template.md:

  • State which domain and agent was used.
  • Include one to three source-backed evidence bullets.
  • End with any remaining assumptions, uncertainty, or the next verification step.

Research agents

This skill includes five research agents in agents/. Each covers one Fusion research domain with its own query patterns and evidence checklist.

  • agents/framework.agent.md — source-backed answers about Fusion Framework hooks, packages, modules, and cookbook examples. Uses mcp_fusion_search_framework.
  • agents/eds.agent.md — source-backed answers about EDS component props, usage, accessibility, and design tokens. Uses mcp_fusion_search_eds.
  • agents/skills.agent.md — source-backed answers about the Fusion skill catalog: what skills exist, their scope, and how they relate. Uses mcp_fusion_search_skills.
  • agents/docs.agent.md — source-backed answers about Fusion platform concepts, onboarding, operations, and governance. Uses mcp_fusion_search_docs.
  • agents/backend-code.agent.md — source-backed answers about Fusion backend service implementations: C# services, interfaces, CQRS patterns, authorization, and cross-service integrations. Uses mcp_fusion_search_backend_code.

Assets

Safety & constraints

Never:

  • invent Fusion Framework hooks, EDS props, or skill catalog entries
  • claim evidence exists when MCP is unavailable or results are weak
  • keep refining indefinitely — state uncertainty after one refinement pass per agent
  • implement code changes or mutate repositories during a research flow

Always:

  • classify the question before choosing an agent
  • capture the source path and supporting excerpt before finalizing any claim
  • state explicitly which agent and source backed each part of the answer

Comments

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