LLM app frameworks & APIs
The top-rated launch-quality LLM app frameworks & APIs skill for AI agents is moa-free-models (grade A), followed by copilotkit-develop and tools. Skillspace rates 736 LLM app frameworks & APIs skills; 137 are launch-quality.
Building with model APIs and SDKs: Anthropic, OpenAI, Gemini, LangChain, LlamaIndex, AI SDK; streaming, tool use, structured output.
Launch-quality skills first, then by grade, then by our Skill Score, which adds judge reviews, test results, GitHub stars and adoption.
- moa-free-models A
- copilotkit-develop B
- tools B
- streaming B
- ai-multimodal B
- openrouter-team-setup B
- openrouter-routing-rules B
- adk-rust-provider-selection B
- assistant-ui-tools B
- agnes-free-text B
- dspy-reasoning-modules B
- language-detector-api B
- agnes-ai-skill B
- sgo B
- laravel-ai-sdk B
- yandexgpt B
- onr-provider-config B
- Vertex AI Media Master B
- claude-cookbooks C
- ai-sdk C
- developing-genkit-python C
- llm-council C
- tavily-best-practices C
- polli C
- plano-routing-model-selection C
Frequently asked questions
What is the best LLM app frameworks & APIs skill for AI agents?
The top-rated launch-quality LLM app frameworks & APIs skill for AI agents is moa-free-models (grade A), followed by copilotkit-develop and tools. Skillspace rates 736 LLM app frameworks & APIs skills; 137 are launch-quality.
How does Skillspace rate LLM app frameworks & APIs skills?
Skillspace grades every LLM app frameworks & APIs skill from A to F with a published scoring engine that reads the skill's SKILL.md: architecture and maturity make the score, and a security scan can cap it. In crowded categories, a judge model also compares the strongest contenders side by side, and some skills are tested head-to-head on real tasks against other skills in the same category (including a deliberately weak one) and a no-skill baseline. Launch-quality skills are graded A to C with a clean safety verdict, and not excluded by a quality filter: the filters catch skills our model's safety screen flags for prompt injection, guardrail bypass, harmful content or credential exposure; test fixtures and attack benchmarks; skills written only for the repository they live in; templates and stubs; and near-duplicate variants and copies of other skills. Ratings were last updated on 24 September 2026; the full method is on the methodology page.
Are LLM app frameworks & APIs skills safe to install?
Of the 736 LLM app frameworks & APIs skills Skillspace rates, 566 passed its safety scan and 170 are flagged: 30 for review, 130 as risky and 10 as unsafe. Each skill's page shows its safety verdict. A pass is not a guarantee: the scan reads only the skill's SKILL.md, not the scripts or other files it ships, and looks for patterns such as piping a remote script into a shell, reading credentials or hiding actions from the user. Skills are third-party code that Skillspace indexes but does not host or endorse, so read a skill's source on GitHub before you install it.
Skillspace indexes and rates skills; it does not host or endorse them. Run third-party skills at your own risk.