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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
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Capacitor - Shared memory for your team’s coding agents.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
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Integrate web data into your AI product. One API to scrape website & brand data.
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inference shell
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create and run specialised agents in minutes
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Slot openReach developers building with Claude Code.
Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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belt - the only tool your agent needs
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Slot openReach developers building with Claude Code.
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell
CodeRabbitCapacitor - Shared memory for your team’s coding agents.Give your AI the whole web as clean markdowninference shell

Add Provider

ThinkInAIXYZ/deepchat
6.2k starsApache-2.0

Add a DeepChat LLM provider through explicit reviewed source changes. Use when a developer asks Codex to add a provider, provider profile, upstream provider config, model catalog mapping, provider auth behavior, or a special provider adapter in this repository.

Install to Claude Code

npx -y skills add ThinkInAIXYZ/deepchat --skill add-provider --agent claude-code

Installs into .claude/skills of the current project.

Files
SKILL.mdView on GitHub

Add Provider

Goal

Generate DeepChat provider integration changes against the current provider architecture. Keep provider display data in PublicProviderConf, map runtime behavior to known transports, and use a special provider implementation only when the API behavior requires one.

Required Inputs

Collect or derive these before editing source:

  • Provider ID in kebab case.
  • Display name.
  • API type or known transport family.
  • Default base URL.
  • Auth type: API key, no auth, OAuth, profile credentials, or provider-specific credential.
  • Model metadata source: built-in config, provider-db, config-db, live model fetch, or custom only.
  • Test model ID and check strategy.
  • Official website, API key URL, docs URL, model list URL.
  • Request quirks: headers, endpoint suffixes, route rewrites, streaming shape, tool-call support, reasoning support, image/audio/embedding endpoints, or proxy requirements.

Supported Paths

OpenAI-Compatible API

Use this when the provider supports OpenAI Chat Completions or Responses-compatible HTTP APIs.

Typical files:

  • src/main/provider/defaults.ts
  • src/main/provider/providerId.ts
  • src/main/provider/providerRegistry.ts
  • src/shared/providerDbCatalog.ts when models come from the public provider database
  • test/main/** provider registry or creation tests

Existing Native Transport

Use this when the provider maps to an existing DeepChat transport such as Anthropic, Gemini, Vertex, Azure, Bedrock, Ollama, or ACP.

Typical files:

  • src/main/provider/defaults.ts
  • src/main/provider/providerRegistry.ts
  • Settings components only when the existing generic form lacks required fields
  • Focused tests for provider creation and connection checks

Special Provider

Use this when auth, request shape, streaming, discovery, or error handling differs from existing transports.

Typical files:

  • src/main/provider/providers/<providerName>Provider.ts
  • src/main/provider/<providerName>Adapter.ts
  • src/main/provider/managers/providerInstanceManager.ts
  • src/shared/contracts/routes/* and src/renderer/api/*Client.ts for interactive auth
  • src/renderer/settings/components/* for provider-specific settings UI
  • Main and renderer tests covering the new behavior

Guardrails

  • Do not introduce ProviderRuntimeDefinition, generated runtime manifests, or runtime package-name inference.
  • Do not install provider SDK packages automatically.
  • Do not execute provider logic in the renderer.
  • Do not store new OAuth credentials in provider API-key fields.
  • Do not add a special provider when a known transport and explicit config are sufficient.
  • Reject the request when the required inputs cannot identify a safe path.

Workflow

  1. Read docs/features/provider-runtime/spec.md when the provider work touches the provider runtime scope. Also read plan.md and tasks.md if they exist for an active provider-runtime goal.
  2. Inspect the current provider files before editing:
    • src/main/provider/defaults.ts
    • src/main/provider/providerId.ts
    • src/main/provider/providerRegistry.ts
    • src/main/provider/aiSdk/providerFactory.ts
    • src/main/provider/managers/providerInstanceManager.ts
    • src/renderer/settings/components/ProviderApiConfig.vue
  3. Classify the request into one supported path.
  4. Add the smallest explicit source changes for that path.
  5. Add or update tests that prove provider creation, auth handling, and model discovery behavior.
  6. Update the active SDD tasks.md entries as the work lands, when an active tasks file exists.
  7. Run:
pnpm run format
pnpm run i18n
pnpm run lint

Run focused main/renderer tests for any touched provider code.

Output Checklist

Report:

  • Provider ID and API type.
  • Selected path.
  • Files changed.
  • Runtime transport or special provider class.
  • Credential storage location.
  • Model metadata source.
  • Check strategy and test model.
  • Validation commands run.
Categories
Backend & APIsAI & Agent Building
First SeenAug 4, 2026
View on GitHub
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending
Make your agent a DeFi expertCodeScene MCP Serverbelt - the only tool your agent needsMCP-ready Email Sending

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