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add-provider

Add a DeepChat LLM provider through explicit reviewed source changes

Install / Use

npx skills add ThinkInAIXYZ/deepchat --skill add-provider

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

84/100

Supported Platforms

OpenAI Codex

Our assessment of add-provider

add-provider scores 84/100 on our quality scale, 408th of 730 AI & Machine Learning skills we index.

Its SKILL.md is 4.6 KB long, well organised into 10 sections with 1 code example: a solid amount of guidance for an agent.

With 6,341 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
17/20
Description
12/15
Adoption
16/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so add-provider is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

add-provider compared with similar skills

All 4 of these similar skills score higher than add-provider; compare them before choosing.

SkillScoreStarsUpdatedFormat
add-provider (this skill)by ThinkInAIXYZ846.3k2d agoSKILL.md
claude-memby thedotmack10094.7ktodayCLAUDE.md
Agent-Reachby Panniantong10085.6k11d agoCLAUDE.md
Understand-Anythingby Egonex-AI10084.3k14d agoCLAUDE.md
headroomby headroomlabs-ai10073.9ktodayCLAUDE.md

Frequently asked questions

How do I install add-provider?
Run npx skills add ThinkInAIXYZ/deepchat --skill add-provider. The install tabs above show the steps for each supported agent.
Which AI agents does add-provider work with?
It is written for OpenAI Codex, as a SKILL.md file. Other agents that read the same format can often use it too.
Is add-provider safe to use?
It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is add-provider still maintained?
The repository was last updated 2 days ago, so add-provider is actively maintained.

name: add-provider description: 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.

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 for runtime strategies and derived public catalog membership
  • 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 if it exists for an active provider-runtime goal. Treat any legacy tasks.md as migration input rather than another execution tracker.
  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. After implementation, assess provider creation, auth handling, and model discovery for durable regression coverage; add only the smallest contract-level tests warranted.
  6. Update an active SDD plan.md as coherent implementation slices land, when one exists. For a legacy tasks.md, merge remaining work into the existing plan; without one, keep a single-slice complex bug checklist in spec.md and create plan.md for feature, architecture, or multi-slice bug work. Do not update or recreate the task file.
  7. Run:
pnpm run format
pnpm run i18n
pnpm run lint
pnpm run typecheck

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.

Related Skills

View on GitHub
GitHub Stars6.3k
CategoryAI
Updated2d ago
Forks738

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions