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.
npx skills add https://github.com/ThinkInAIXYZ/deepchat --skill add-provider
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.
Collect or derive these before editing source:
reasoning support, image/audio/embedding endpoints, or proxy requirements.
Use this when the provider supports OpenAI Chat Completions or Responses-compatible HTTP APIs.
Typical files:
src/main/provider/defaults.tssrc/main/provider/providerId.tssrc/main/provider/providerRegistry.tssrc/shared/providerDbCatalog.ts when models come from the public provider databasetest/main/** provider registry or creation testsUse 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.tssrc/main/provider/providerRegistry.tsUse this when auth, request shape, streaming, discovery, or error handling differs from existing
transports.
Typical files:
src/main/provider/providers/<providerName>Provider.tssrc/main/provider/<providerName>Adapter.tssrc/main/provider/managers/providerInstanceManager.tssrc/shared/contracts/routes/* and src/renderer/api/*Client.ts for interactive authsrc/renderer/settings/components/* for provider-specific settings UIProviderRuntimeDefinition, generated runtime manifests, or runtime package-nameinference.
docs/features/provider-runtime/spec.md when the provider work touches the provider runtimescope. Also read plan.md and tasks.md if they exist for an active provider-runtime goal.
src/main/provider/defaults.tssrc/main/provider/providerId.tssrc/main/provider/providerRegistry.tssrc/main/provider/aiSdk/providerFactory.tssrc/main/provider/managers/providerInstanceManager.tssrc/renderer/settings/components/ProviderApiConfig.vuetasks.md entries as the work lands, when an active tasks file exists.pnpm run format
pnpm run i18n
pnpm run lint
Run focused main/renderer tests for any touched provider code.
Report:
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Access NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
Convert PyTorch AT_DISPATCH macros to AT_DISPATCH_V2 format in ATen C++ code. Use when porting AT_DISPATCH_ALL_TYPES_AND*, AT_DISPATCH_FLOATING_TYPES*, or other dispatch macros to the new v2 API. For ATen kernel files, CUDA kernels, and native operator implementations.
Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTorch code.
Take thinkinaixyz/add-provider from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.