
fusion-research
Source-backed research orchestrator for the Fusion ecosystem. Routes to the correct research agent based on question type. Returns source-backed evidence only; will not invent Framework behavior, component APIs, skill catalog relationships, platform guidance, or backend implementation details. USE FOR: any research question needing source-backed evidence about Fusion Framework APIs, EDS components, the Fusion skill catalog, Fusion platform documentation, or backend service implementation. DO NOT USE FOR: implementing code changes, installing or editing skills, MCP setup or troubleshooting, or inventing Fusion behavior without evidence.
- Installs
- 1.4K
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/equinor/fusion-skills --skill fusion-research- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads fusion-research automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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-devor the relevant dev skill; if the research is for a specific app you are actively building, usefusion-app-react-devfirst — 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-authoringfor 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:
- Framework scope: assets/framework.follow-up.md
- EDS scope: assets/eds.follow-up.md
- Skills catalog scope: assets/skills.follow-up.md
- Docs scope: assets/docs.follow-up.md
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:
| Domain | Indicators | Agent |
|---|---|---|
| Framework | Fusion Framework hooks, packages, modules, TypeScript APIs, cookbook examples | agents/framework.agent.md |
| EDS | EDS component props, usage examples, accessibility, design tokens | agents/eds.agent.md |
| Skills | Skill catalog lookup, scope boundaries, companion/orchestrator relationships | agents/skills.agent.md |
| Docs | Fusion platform concepts, onboarding, platform operations, governance, non-implementation guidance | agents/docs.agent.md |
| Backend Code | C# service implementations, interfaces, CQRS patterns, authorization, validation, cross-service APIs | agents/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
- Framework questions → follow
agents/framework.agent.md. - EDS questions → follow
agents/eds.agent.md. - Skills questions → follow
agents/skills.agent.md. - Docs questions → follow
agents/docs.agent.md. - Backend code questions → follow
agents/backend-code.agent.md.
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. Usesmcp_fusion_search_framework.agents/eds.agent.md— source-backed answers about EDS component props, usage, accessibility, and design tokens. Usesmcp_fusion_search_eds.agents/skills.agent.md— source-backed answers about the Fusion skill catalog: what skills exist, their scope, and how they relate. Usesmcp_fusion_search_skills.agents/docs.agent.md— source-backed answers about Fusion platform concepts, onboarding, operations, and governance. Usesmcp_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. Usesmcp_fusion_search_backend_code.
Assets
- assets/source-backed-answer-template.md
- assets/framework.follow-up.md — pre-dispatch scope questions for Framework research
- assets/eds.follow-up.md — pre-dispatch scope questions for EDS research
- assets/skills.follow-up.md — pre-dispatch scope questions for skills catalog research
- assets/docs.follow-up.md — pre-dispatch scope questions for Docs platform research
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
FAQ
What does the fusion-research skill do?
Source-backed research orchestrator for the Fusion ecosystem. Routes to the correct research agent based on question type. Returns source-backed evidence only; will not invent Framework behavior, component APIs, skill catalog relationships, platform guidance, or backend implementation details. USE FOR: any research question needing source-backed evidence about Fusion Framework APIs, EDS components, the Fusion skill catalog, Fusion platform documentation, or backend service implementation. DO NOT USE FOR: implementing code changes, installing or editing skills, MCP setup or troubleshooting, or inventing Fusion behavior without evidence.
How do I install fusion-research?
Run npx skills add https://github.com/equinor/fusion-skills --skill fusion-research in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/fusion-research/ (personal) or .claude/skills/fusion-research/ (project).
Which AI agents can use fusion-research?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is fusion-research safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains fusion-research?
It is published by equinor in equinor/fusion-skills. It has 1,358 recorded installs.
More from equinor/fusion-skills
fusion-issue-authoring
equinor/fusion-skills
Classify issue type, activate the matching agent mode for type-specific drafting, and enforce shared safety gates before GitHub mutation.
fusion-github-review-resolution
equinor/fusion-skills
Resolves unresolved GitHub PR review threads end-to-end: evaluates whether each review comment is correct, applies a targeted fix when valid, replies with rationale when not, commits, and resolves the thread. USE FOR: unresolved review threads, PR review feedback, changes requested PRs, PR review URLs (pullrequestreview-...), fix the review comments, close the open threads, address PR feedback. DO NOT USE FOR: summarizing feedback without code changes, creating new PRs, or read-only branches.
fusion-issue-solving
equinor/fusion-skills
Handles GitHub issue resolution end-to-end for prompts like "solve 123", "lets solve 123", "work on 123", "work on https://github.com/owner/repo/issues/123", or by pasting a direct GitHub issue URL as the request. USE FOR: solve 123, continue work on issue 123, work on https://github.com/owner/repo/issues/123, paste a GitHub issue URL for implementation work. DO NOT USE FOR: issue drafting only, PR review only, or non-implementation research.
fusion-code-conventions
equinor/fusion-skills
Applies and explains code conventions across TypeScript, React, C, and Markdown. Enforces naming rules, file naming patterns, TSDoc and XML doc standards, inline comment intent (the why, not the what), code structure, error handling, async patterns, and dead code policy. Also enforces ADR and contributor doc decisions, and flags decisions that appear stale or misaligned with current tooling. USE FOR: convention questions, code review against project standards, applying naming rules, auditing intent comments, checking TSDoc completeness, enforcing recorded ADR decisions, and flagging stale architectural decisions. DO NOT USE FOR: security vulnerability scanning, performance profiling, runtime debugging, or generating net-new code without a review target.
fusion-dependency-review
equinor/fusion-skills
Review dependency PRs with structured research, existing-PR-discussion capture, multi-lens analysis (security, code quality, impact), and a repeatable verdict template. USE FOR: dependency update PRs, Renovate/Dependabot PRs, library upgrade reviews, "review this dependency PR", "should we merge this update". DO NOT USE FOR: feature PRs, application code reviews, dependency automation/bot configuration, or unattended merge without confirmation.
fusion-mcp
equinor/fusion-skills
Explain what Fusion MCP is and guide users through setting it up when they need Fusion-aware MCP capabilities in Copilot workflows.
Popular productivity & automation skills
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
lark-doc
open.feishu.cn
飞书云文档(Docx / Wiki)内容操作:读取、创建、编辑文档,插入或下载图片附件,以及操作思维笔记。用户提供文档 URL/token(包括 doubao.com 的 /docx/、/wiki/)时使用;按 URL 路径/token 而非域名路由;/page/ 是妙搭应用,非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive;随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。
lark-base
open.feishu.cn
飞书多维表格(Base)操作:建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式(BaseApp/AppMode 页面与组件)、Workspace 目录、workflow、角色权限、模板中心(多维表格模板分类/列表/搜索);遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps;文件导入/导出转 lark-drive,认证/授权转 lark-shared。
lark-drive
open.feishu.cn
飞书云空间(云盘/云存储):管理 Drive 文件和文件夹,包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签(secure labels)和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题,或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用;doubao.com 云空间 URL/token 也按资源路径和 token 路由,不回退 WebFetch。不负责:文档内容编辑(走 lark-doc)、表格/Base 表内数据操作(走 lark-sheets/lark-base)、知识空间节点/成员管理(走 lark-wiki)、原生 Markdown 文件读写/patch/diff(走 lark-markdown)。
lark-shared
open.feishu.cn
Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.
lark-im
open.feishu.cn
飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片(Interactive Card)、监听卡片按钮回调(card.action.trigger)。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶(添加/移除/查询置顶会话)、管理标签数据、处理卡片回调时使用。