create

Create New Component

Extend the crypto trading desk with a new component based on the user's natural language description: $ARGUMENTS

Workflow

Step 1: Parse Request

Determine what the user wants to create:

• MCP server — if the request involves new data sources, APIs, or tools (e.g., "on-chain analytics", "DeFi tracker", "social media monitor")
• Agent — if the request involves a new specialist role (e.g., "macro analyst", "DeFi strategist", "on-chain detective")
• Skill — if the request involves a new workflow or command (e.g., "multi-coin comparison", "rebalance portfolio", "alert system")

If unclear, ask the user what type of component they want.

Step 2: Research

Delegate to system-builder agent: "Research what's needed to create: $ARGUMENTS. Use WebSearch to find relevant public APIs (prefer no-API-key-required). Use WebFetch to read API documentation. Read existing components in the project to understand patterns — read at least 2 files from the relevant directory (mcp-servers/, agents/, or skills/). Read mcp-servers/validators.py for reusable validation. Write a research summary to data/create/{name}-research.md with: APIs found, rate limits, data available, recommended approach."

Step 3: Generate

After research completes, delegate to system-builder agent: "Based on the research in data/create/{name}-research.md, generate a new {type} for: $ARGUMENTS. Follow the exact patterns from existing files. Write the component to the correct location:

• MCP server → mcp-servers/{name}.py
• Agent → agents/{name}.md
• Skill → skills/{name}/SKILL.md Write a creation summary to data/create/{name}-summary.md."

Step 3b: Generate Tests (MCP servers only)

If the component is an MCP server, delegate to system-builder agent: "Generate a test file for the new MCP server mcp-servers/{name}.py. Read tests/helpers.py to understand the call_tool() helper. Read at least 2 existing test files (e.g., tests/test_crypto_data.py, tests/test_crypto_exchange.py) to understand the testing pattern:

• Import with sys.path.insert(0, str(Path(__file__).resolve().parent.parent / 'mcp-servers'))
• Use from helpers import call_tool wrapper for FastMCP tools
• Mock ALL external API calls (HTTP, CCXT, etc.) — tests must run offline
• One test class per tool, with at least: test_success and test_error_handling
• Assert result['status'] == 'success' on happy path
• Assert result['status'] == 'error' on failure path Write the test to tests/test_{name}.py."

Step 4: Integration Guidance

After the component is generated, present:

1. What was created — show the file path and a brief description
2. Review — show the key parts of the generated file for the user to review
3. Next steps — tell the user what they need to do:

For MCP servers:

• Add the server configuration to mcp-servers.plugin.json
• Add the server name to relevant agents' mcpServers list in their frontmatter
• Add the server to the MCP table in CLAUDE.md
• Run uv run --frozen pytest tests/test_{name}.py -v to verify the tests pass
• Run /setup to verify the new server starts correctly

For agents:

• Add routing rules in CLAUDE.md (which queries should route to this agent)
• Add the agent to the agents table in CLAUDE.md

For skills:

• Auto-discovered by Claude Code — no configuration needed
• Add to the skills table in CLAUDE.md for documentation

Output

Present:

1. Research findings (APIs, feasibility)
2. Generated component (file path + key capabilities)
3. Test results (MCP servers: show pytest output)
4. Integration checklist (numbered steps)