llm-providers
Developer reference for connecting to OpenAI, Anthropic, Gemini, DeepSeek, GLM, MiniMax, MiMo, Mistral, xAI, Qwen, Kimi, Cohere, OpenRouter, Together, and…
Skill by 0xdewy
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/0xdewy-llm-providers
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: ml, security
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/llm-providers
What's inside
- Skill name
llm-providers- Description
- Developer reference for connecting to OpenAI, Anthropic, Gemini, DeepSeek, GLM, MiniMax, MiMo, Mistral, xAI, Qwen, Kimi, Cohere, OpenRouter, Together, and Groq APIs, covering auth, endpoints, SDKs, models, and provider gotchas. Only use when explicitly requested.
- License
- MIT
- Instructions
- 30 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (21)
- SKILL.md
- evals.json · evals/
- alibaba-qwen.md · references/
- anthropic.md · references/
- cohere.md · references/
- concepts.md · references/
- deepseek.md · references/
- google-gemini.md · references/
- groq.md · references/
- index.md · references/
- minimax.md · references/
- mistral.md · references/
- moonshot-kimi.md · references/
- openai.md · references/
- openrouter.md · references/
- source-map.json · references/
- together.md · references/
- xai.md · references/
- xiaomi-mimo.md · references/
- zhipu-glm.md · references/
- search_refs.py · scripts/
SKILL.md (first lines)
# LLM Providers Wire an application to a hosted LLM API. Each provider has a card in `references/<provider>.md`: where to get a key, the env var name, REST base URL, auth header, OpenAI compatibility, official Python and TypeScript SDKs, working curl, Python, and TS samples, current model names, and gotchas. ## Workflow 1. Identify provider and language. Run `scripts/search_refs.py --limit 4 "<provider or feature terms>"` and open only the matching card. `references/concepts.md` covers cross-provider topics: OpenAI-compatible endpoints, streaming, retries, tool calling, and the env-var convention. 2. Take base URL, auth header, env var, and model string from the card, never from memory. If the card is stale or lacks the model, say so and check the provider docs linked in the card. 3. Copy the card's sample for the target language. Prefer the `openai` SDK against a compatible base URL unless the user wants the vendor SDK. 4. Read the key from the card's env var or a secret store. Never hardcode, echo, log, or commit a key, and never accept one pasted into the prompt. 5. Surface the card's gotchas (region limits, special headers, context limits, multimodal caveats) before the user hits them. 6. Before claiming a snippet runs, confirm the SDK imports (`python -c "import openai"` or the card's package). This skill targets official hosted APIs. It is not for bypassing rate limits, region locks, or auth.
From 0xdewy/skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 2
- Last commit (this folder)
- Oct 11, 2026 (17 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/0xdewy/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
llm-providers skill. Agent Mart. https://agentmart.dev/skills/0xdewy-llm-providers (last updated 2026-10-24)