write-rfc — for Claude Code write-rfc, toolhive-rfcs, community, for Claude Code, ide skills, THV-{NUMBER}-{descriptive-name}.md, toolhive, thv-operator, thv-proxyrunner, toolhive-studio

v1.0.0

About this Skill

Ideal for AI agents that need this skill helps you write high-quality rfcs for the toolhive ecosystem following established. write-rfc is an AI agent skill for this skill helps you write high-quality rfcs for the toolhive ecosystem following established.

Features

This skill helps you write high-quality RFCs for the ToolHive ecosystem following established
Step 1: Gather Requirements
Before writing an RFC, ask the user about:
Problem Statement : What problem are they trying to solve?
Target Repository : Which repo does this affect?

# Core Topics

stacklok stacklok
[3]
[2]
Updated: 3/18/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Ideal for AI agents that need this skill helps you write high-quality rfcs for the toolhive ecosystem following established. write-rfc is an AI agent skill for this skill helps you write high-quality rfcs for the toolhive ecosystem following established.

Core Value

write-rfc helps agents this skill helps you write high-quality rfcs for the toolhive ecosystem following established. A central repository to submit RFCs for the ToolHive ecosystem # Write RFC Skill This skill helps you write high-quality RFCs for the ToolHive ecosystem following established

Ideal Agent Persona

Ideal for AI agents that need this skill helps you write high-quality rfcs for the toolhive ecosystem following established.

Capabilities Granted for write-rfc

Applying This skill helps you write high-quality RFCs for the ToolHive ecosystem following established
Applying Step 1: Gather Requirements
Applying Before writing an RFC, ask the user about:

! Prerequisites & Limits

  • The NUMBER must match the PR number and be zero-padded to 4 digits
  • Requires repository-specific context from the skill documentation
  • Works best when the underlying tools and dependencies are already configured

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Labs Demo

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Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is write-rfc?

Ideal for AI agents that need this skill helps you write high-quality rfcs for the toolhive ecosystem following established. write-rfc is an AI agent skill for this skill helps you write high-quality rfcs for the toolhive ecosystem following established.

How do I install write-rfc?

Run the command: npx killer-skills add stacklok/toolhive-rfcs/write-rfc. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for write-rfc?

Key use cases include: Applying This skill helps you write high-quality RFCs for the ToolHive ecosystem following established, Applying Step 1: Gather Requirements, Applying Before writing an RFC, ask the user about:.

Which IDEs are compatible with write-rfc?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for write-rfc?

The NUMBER must match the PR number and be zero-padded to 4 digits. Requires repository-specific context from the skill documentation. Works best when the underlying tools and dependencies are already configured.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add stacklok/toolhive-rfcs/write-rfc. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use write-rfc immediately in the current project.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

write-rfc

Install write-rfc, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

Write RFC Skill

This skill helps you write high-quality RFCs for the ToolHive ecosystem following established patterns and conventions.

Overview

ToolHive RFCs follow a specific format with the naming convention THV-{NUMBER}-{descriptive-name}.md. The NUMBER must match the PR number and be zero-padded to 4 digits.

Workflow

Step 1: Gather Requirements

Before writing an RFC, ask the user about:

  1. Problem Statement: What problem are they trying to solve?
  2. Target Repository: Which repo does this affect?
    • toolhive - Core runtime, CLI (thv), operator (thv-operator), proxy-runner (thv-proxyrunner), virtual MCP (vmcp)
    • toolhive-studio - Desktop UI application (Electron/TypeScript)
    • toolhive-registry - MCP server registry data
    • toolhive-registry-server - Registry API server (thv-registry-api)
    • toolhive-cloud-ui - Cloud/Enterprise web UI (Next.js)
    • dockyard - Container packaging for MCP servers
    • multiple - Cross-cutting changes
  3. Scope: What are the goals and explicit non-goals?

Step 2: Research the Ecosystem

Before drafting, research the relevant codebase:

2.1 Fetch Architectural Documentation

Use mcp__github__get_file_contents to read from stacklok/toolhive repo's docs/arch/ directory:

DocumentContent
00-overview.mdPlatform overview, key components
01-deployment-modes.mdLocal vs Kubernetes modes
02-core-concepts.mdNouns (Workloads, Transports, Proxy, etc.) and Verbs
03-transport-architecture.mdstdio, SSE, streamable-http transports
04-secrets-management.mdSecrets handling, providers
05-runconfig-and-permissions.mdConfiguration format, permission profiles
06-registry-system.mdRegistry architecture, MCPRegistry CRD
07-groups.mdServer grouping concepts
08-workloads-lifecycle.mdLifecycle management
09-operator-architecture.mdK8s operator, CRDs
10-virtual-mcp-architecture.mdVirtual MCP aggregation

2.2 Review Existing RFCs

Read rfcs/ directory in this repository to understand patterns and check for related proposals.

2.3 Search Relevant Codebases

Use mcp__github__search_code or mcp__github__get_file_contents to explore:

RepositoryPurpose
stacklok/toolhiveCore platform, CLI, operator, proxy
stacklok/toolhive-studioDesktop UI
stacklok/toolhive-registry-serverRegistry API server
stacklok/toolhive-registryRegistry data
stacklok/toolhive-cloud-uiCloud/Enterprise UI
stacklok/dockyardContainer packaging

Step 3: Draft the RFC

Create the RFC following the template structure from rfcs/0000-template.md.

Required Metadata

markdown
1# RFC-XXXX: Title 2 3- **Status**: Draft 4- **Author(s)**: Name (@github-handle) 5- **Created**: YYYY-MM-DD 6- **Last Updated**: YYYY-MM-DD 7- **Target Repository**: [from step 1] 8- **Related Issues**: [links if applicable]

Core Sections

  1. Summary - 2-3 sentences capturing the essence
  2. Problem Statement - Current limitation, who's affected, why it matters
  3. Goals - Specific objectives (bulleted)
  4. Non-Goals - Explicit scope boundaries
  5. Proposed Solution
    • High-Level Design (with Mermaid diagrams)
    • Detailed Design: Component changes, API changes, configuration changes, data model changes
  6. Security Considerations (REQUIRED) - See security checklist below
  7. Alternatives Considered - Other approaches evaluated
  8. Compatibility - Backward and forward compatibility
  9. Implementation Plan - Phased approach with tasks
  10. Testing Strategy - Unit, integration, E2E, performance, security tests
  11. Documentation - What needs documenting
  12. Open Questions - Unresolved items
  13. References - Related links

Security Considerations Checklist (REQUIRED)

Every RFC MUST address:

  • Threat Model - Potential threats, attacker capabilities
  • Authentication and Authorization - Auth changes, permission models
  • Data Security - Sensitive data handling, encryption
  • Input Validation - User input, injection vectors
  • Secrets Management - Credentials storage, rotation
  • Audit and Logging - Security events, compliance
  • Mitigations - Security controls implemented

Step 4: Use Proper Conventions

Code Examples

  • Use Go for API changes in toolhive, toolhive-registry-server
  • Use TypeScript for toolhive-studio, toolhive-cloud-ui changes
  • Use YAML for configuration examples
  • Use Mermaid for diagrams (flowcharts, sequence diagrams)

Kubernetes CRDs

If the RFC involves Kubernetes, include CRD examples:

yaml
1apiVersion: toolhive.stacklok.dev/v1alpha1 2kind: MCPServer 3metadata: 4 name: example 5spec: 6 # ...

CRD types: MCPServer, MCPRegistry, MCPToolConfig, MCPExternalAuthConfig, MCPGroup, VirtualMCPServer

Step 5: File Naming

The RFC file should be named THV-XXXX-{descriptive-name}.md where XXXX is the PR number. Since you don't know the PR number yet, use a placeholder like THV-XXXX-{name}.md and remind the user to rename it to match the PR number after creating the PR.

Step 6: Review Checklist

Before finalizing, verify:

  • Problem is clearly stated
  • Goals and non-goals are explicit
  • Security section is complete (all 7 areas addressed)
  • Alternatives are discussed
  • Diagrams illustrate complex flows
  • Code examples are concrete and in the correct language
  • Implementation phases are defined
  • Testing strategy covers all levels
  • File follows naming convention

ToolHive Architecture Summary

Platform Overview

ToolHive is a platform for MCP server management (not just a container runner):

  • Proxy layer with middleware (auth, authz, audit, rate limiting)
  • Security by default (network isolation, permission profiles)
  • Aggregation via Virtual MCP Server
  • Registry for curated MCP servers
  • Multi-deployment: Local (CLI/UI) and Kubernetes (operator)

Key Binaries

BinaryLocationPurpose
thvtoolhiveMain CLI
thv-operatortoolhiveKubernetes operator
thv-proxyrunnertoolhiveK8s proxy container
vmcptoolhiveVirtual MCP server (aggregation)
thv-registry-apitoolhive-registry-serverRegistry API server

Transport Types

  • stdio - Standard input/output (requires protocol translation)
  • SSE - Server-Sent Events (HTTP, transparent proxy)
  • streamable-http - HTTP streaming (transparent proxy)

Design Principles

  1. Platform abstraction over direct execution
  2. Security by default (network isolation, permissions)
  3. Extensibility through middleware
  4. Cloud-native (K8s operators, containers)
  5. RunConfig as portable API contract

Reference Files

  • Template: rfcs/0000-template.md
  • Contributing guide: CONTRIBUTING.md
  • Existing RFCs: rfcs/THV-*.md

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