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Claude Skills by ax-llm
github.com/ax-llm100 skills0 installs163 views
- Ax Go GenUse when writing Go code with `github.com/ax-llm/ax/packages/go` for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output parsing.Votes: 0GitHub stars: 2,960
- Ax Java Agent RlmUse when writing Java code with `dev.axllm:ax` for RLM executor loops, AxCodeRuntime sessions, runtime envelopes, process runtimes, and optional runtime profiles.Votes: 0GitHub stars: 2,960
- Ax Python FlowUse when writing Python code with `axllm` for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.Votes: 0GitHub stars: 2,960
- Ax Rust SignatureUse when writing Rust code with `axllm` for string signatures, field descriptors, JSON schema output, validation, and typed tool argument shapes.Votes: 0GitHub stars: 2,960
- Ax LlmThis skill helps with using the @ax-llm/ax TypeScript library for building LLM applications. Use when the user asks about ax(), ai(), f(), s(), agent(), flow(), AxGen, AxAgent, AxFlow, signatures, streaming, or mentions @ax-llm/ax.Votes: 0GitHub stars: 2,960
- Ax Cpp Agent ContextUse when writing C++ code with `axllm` for deciding between context maps, trajectory context policy, offline optimization (ACE/GEPA), and memory recall for long-context agents.Votes: 0GitHub stars: 2,958
- Ax Cpp Agent Memory SkillsUse when writing C++ code with `axllm` for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.Votes: 0GitHub stars: 2,958
- Ax Cpp Agent ObservabilityUse when writing C++ code with `axllm` for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and production debugging.Votes: 0GitHub stars: 2,958
- Ax Cpp Agent OptimizeUse when writing C++ code with `axllm` for agent optimization, verified agent-playbook evolution, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA.Votes: 0GitHub stars: 2,958
- Ax Cpp Agent RlmUse when writing C++ code with `axllm` for RLM executor loops, AxCodeRuntime sessions, runtime envelopes, process runtimes, and optional runtime profiles.Votes: 0GitHub stars: 2,958
- Ax Cpp AgentUse when writing C++ code with `axllm` for agents, child delegation, tools, MCP, citations, persistent playbook learning, stage instructions, runtime state, final typed responses, and direct-respond executor skipping.Votes: 0GitHub stars: 2,958
- Ax Cpp AiUse when writing C++ code with `axllm` for named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers.Votes: 0GitHub stars: 2,958
- Ax Cpp AudioUse when writing C++ code with `axllm` for audio input/output, OpenAI Responses audio mapping, realtime event folding, and generated package audio examples.Votes: 0GitHub stars: 2,958
- Ax Cpp FlowUse when writing C++ code with `axllm` for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.Votes: 0GitHub stars: 2,958
- Ax Cpp GenUse when writing C++ code with `axllm` for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output parsing.Votes: 0GitHub stars: 2,958
- Ax Cpp GepaUse when writing C++ code with `axllm` for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.Votes: 0GitHub stars: 2,958
- Ax Cpp LlmUse when writing C++ code with `axllm` for using the generated Ax package, factory functions, package docs, examples, and API reference.Votes: 0GitHub stars: 2,958
- Ax Cpp PlaybookUse when writing C++ code with `axllm` for the playbook() context-engineering surface, agent-bound verified evolution, run-end learning, online updates, and rendering a playbook into a program.Votes: 0GitHub stars: 2,958
- Ax Cpp RefineUse when writing C++ code with `axllm` for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.Votes: 0GitHub stars: 2,958
- Ax Cpp SignatureUse when writing C++ code with `axllm` for string signatures, field descriptors, JSON schema output, validation, and typed tool argument shapes.Votes: 0GitHub stars: 2,958
- Ax Go Agent ContextUse when writing Go code with `github.com/ax-llm/ax/packages/go` for deciding between context maps, trajectory context policy, offline optimization (ACE/GEPA), and memory recall for long-context agents.Votes: 0GitHub stars: 2,958
- Ax Go Agent Memory SkillsUse when writing Go code with `github.com/ax-llm/ax/packages/go` for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.Votes: 0GitHub stars: 2,958
- Ax Go Agent ObservabilityUse when writing Go code with `github.com/ax-llm/ax/packages/go` for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and production debugging.Votes: 0GitHub stars: 2,958
- Ax Go Agent OptimizeUse when writing Go code with `github.com/ax-llm/ax/packages/go` for agent optimization, verified agent-playbook evolution, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA.Votes: 0GitHub stars: 2,958
- Ax Go Agent RlmUse when writing Go code with `github.com/ax-llm/ax/packages/go` for RLM executor loops, AxCodeRuntime sessions, runtime envelopes, process runtimes, and optional runtime profiles.Votes: 0GitHub stars: 2,958
- Ax Go AgentUse when writing Go code with `github.com/ax-llm/ax/packages/go` for agents, child delegation, tools, MCP, citations, persistent playbook learning, stage instructions, runtime state, final typed responses, and direct-respond executor skipping.Votes: 0GitHub stars: 2,958
- Ax Go AiUse when writing Go code with `github.com/ax-llm/ax/packages/go` for named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers.Votes: 0GitHub stars: 2,958
- Ax Go AudioUse when writing Go code with `github.com/ax-llm/ax/packages/go` for audio input/output, OpenAI Responses audio mapping, realtime event folding, and generated package audio examples.Votes: 0GitHub stars: 2,958
- Ax Go FlowUse when writing Go code with `github.com/ax-llm/ax/packages/go` for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.Votes: 0GitHub stars: 2,958
- Ax Go GepaUse when writing Go code with `github.com/ax-llm/ax/packages/go` for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.Votes: 0GitHub stars: 2,958
- Ax Go LlmUse when writing Go code with `github.com/ax-llm/ax/packages/go` for using the generated Ax package, factory functions, package docs, examples, and API reference.Votes: 0GitHub stars: 2,958
- Ax Go PlaybookUse when writing Go code with `github.com/ax-llm/ax/packages/go` for the playbook() context-engineering surface, agent-bound verified evolution, run-end learning, online updates, and rendering a playbook into a program.Votes: 0GitHub stars: 2,958
- Ax Go RefineUse when writing Go code with `github.com/ax-llm/ax/packages/go` for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.Votes: 0GitHub stars: 2,958
- Ax Go SignatureUse when writing Go code with `github.com/ax-llm/ax/packages/go` for string signatures, field descriptors, JSON schema output, validation, and typed tool argument shapes.Votes: 0GitHub stars: 2,958
- Ax Java Agent ContextUse when writing Java code with `dev.axllm:ax` for deciding between context maps, trajectory context policy, offline optimization (ACE/GEPA), and memory recall for long-context agents.Votes: 0GitHub stars: 2,958
- Ax Java Agent Memory SkillsUse when writing Java code with `dev.axllm:ax` for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.Votes: 0GitHub stars: 2,958
- Ax Java Agent ObservabilityUse when writing Java code with `dev.axllm:ax` for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and production debugging.Votes: 0GitHub stars: 2,958
- Ax Java Agent OptimizeUse when writing Java code with `dev.axllm:ax` for agent optimization, verified agent-playbook evolution, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA.Votes: 0GitHub stars: 2,958
- Ax Java AgentUse when writing Java code with `dev.axllm:ax` for agents, child delegation, tools, MCP, citations, persistent playbook learning, stage instructions, runtime state, final typed responses, and direct-respond executor skipping.Votes: 0GitHub stars: 2,958
- Ax Java AiUse when writing Java code with `dev.axllm:ax` for named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers.Votes: 0GitHub stars: 2,958
- Ax Java AudioUse when writing Java code with `dev.axllm:ax` for audio input/output, OpenAI Responses audio mapping, realtime event folding, and generated package audio examples.Votes: 0GitHub stars: 2,958
- Ax Java FlowUse when writing Java code with `dev.axllm:ax` for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.Votes: 0GitHub stars: 2,958
- Ax Java GenUse when writing Java code with `dev.axllm:ax` for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output parsing.Votes: 0GitHub stars: 2,958
- Ax Java GepaUse when writing Java code with `dev.axllm:ax` for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.Votes: 0GitHub stars: 2,958
- Ax Java LlmUse when writing Java code with `dev.axllm:ax` for using the generated Ax package, factory functions, package docs, examples, and API reference.Votes: 0GitHub stars: 2,958
- Ax Java PlaybookUse when writing Java code with `dev.axllm:ax` for the playbook() context-engineering surface, agent-bound verified evolution, run-end learning, online updates, and rendering a playbook into a program.Votes: 0GitHub stars: 2,958
- Ax Java RefineUse when writing Java code with `dev.axllm:ax` for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.Votes: 0GitHub stars: 2,958
- Ax Java SignatureUse when writing Java code with `dev.axllm:ax` for string signatures, field descriptors, JSON schema output, validation, and typed tool argument shapes.Votes: 0GitHub stars: 2,958
- Ax Python Agent ContextUse when writing Python code with `axllm` for deciding between context maps, trajectory context policy, offline optimization (ACE/GEPA), and memory recall for long-context agents.Votes: 0GitHub stars: 2,958
- Ax Python Agent Memory SkillsUse when writing Python code with `axllm` for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.Votes: 0GitHub stars: 2,958