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Claude Skills by ax-llm
github.com/ax-llm100 skills0 installs207 views
- Ax Python AgentUse when writing Python 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: 2,960
- Ax Python AiUse when writing Python code with `axllm` for named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers.Votes: 0GitHub stars: 2,960
- Ax Python AudioUse when writing Python code with `axllm` for audio input/output, OpenAI Responses audio mapping, realtime event folding, and generated package audio examples.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 Python GenUse when writing Python code with `axllm` for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output parsing.Votes: 0GitHub stars: 2,960
- Ax Python GepaUse when writing Python code with `axllm` for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.Votes: 0GitHub stars: 2,960
- Ax Python LlmUse when writing Python code with `axllm` for using the generated Ax package, factory functions, package docs, examples, and API reference.Votes: 0GitHub stars: 2,960
- Ax Python PlaybookUse when writing Python 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: 2,960
- Ax Python RefineUse when writing Python code with `axllm` for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.Votes: 0GitHub stars: 2,960
- Ax Python SignatureUse when writing Python code with `axllm` for string signatures, field descriptors, JSON schema output, validation, and typed tool argument shapes.Votes: 0GitHub stars: 2,960
- Ax Rust Agent ContextUse when writing Rust 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: 2,960
- Ax Rust Agent Memory SkillsUse when writing Rust code with `axllm` for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.Votes: 0GitHub stars: 2,960
- Ax Rust Agent ObservabilityUse when writing Rust code with `axllm` for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and production debugging.Votes: 0GitHub stars: 2,960
- Ax Rust Agent OptimizeUse when writing Rust code with `axllm` for agent optimization, verified agent-playbook evolution, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA.Votes: 0GitHub stars: 2,960
- Ax Rust Agent RlmUse when writing Rust code with `axllm` for RLM executor loops, AxCodeRuntime sessions, runtime envelopes, process runtimes, and optional runtime profiles.Votes: 0GitHub stars: 2,960
- Ax Rust AgentUse when writing Rust 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: 2,960
- Ax Rust AiUse when writing Rust code with `axllm` for named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers.Votes: 0GitHub stars: 2,960
- Ax Rust AudioUse when writing Rust code with `axllm` for audio input/output, OpenAI Responses audio mapping, realtime event folding, and generated package audio examples.Votes: 0GitHub stars: 2,960
- Ax Rust FlowUse when writing Rust code with `axllm` for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.Votes: 0GitHub stars: 2,960
- Ax Rust GenUse when writing Rust code with `axllm` for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output parsing.Votes: 0GitHub stars: 2,960
- Ax Rust GepaUse when writing Rust code with `axllm` for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.Votes: 0GitHub stars: 2,960
- Ax Rust LlmUse when writing Rust code with `axllm` for using the generated Ax package, factory functions, package docs, examples, and API reference.Votes: 0GitHub stars: 2,960
- Ax Rust PlaybookUse when writing Rust 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: 2,960
- Ax Rust RefineUse when writing Rust code with `axllm` for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.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 Agent ContextThis skill helps an LLM pick the right AxAgent context tool for a job - contextMap for recurring corpora, contextPolicy presets for within-run trajectory compaction, agent.optimize for offline GEPA instruction/demo tuning, agent.playbook for an evolving context playbook (offline evolve + online update), and recall/memories + skills for per-turn retrieval. Use when the user asks "which context feature should I use", confuses contextMap with contextPolicy or memory, or wants a decision guide fo...Votes: 0GitHub stars: 2,960
- Ax Agent Memory SkillsThis skill helps an LLM generate correct AxAgent memory retrieval, context-map, and dynamic skill-loading code using @ax-llm/ax. Use when the user asks about contextMap, AxAgentContextMap, onMemoriesSearch, memoriesCatalog, recall(...), inputs.memories, onLoadedMemories, onUsedMemories, onSkillsSearch, skillsCatalog, AxAgentCatalogSkill, discover({ skills }), onLoadedSkills, onUsedSkills, preloaded skills, preloading memories at forward time, relevanceRanking hints, loaded memory/skill IDs, o...Votes: 0GitHub stars: 2,960
- Ax Agent ObservabilityThis skill helps an LLM generate correct AxAgent observability code using @ax-llm/ax. Use when the user asks about axGlobals.onUsage, usageContext, centralized or multi-tenant usage accounting, actorTurnCallback, onContextEvent, agentStatusCallback, onFunctionCall, reportSuccess, reportFailure, getChatLog(), getUsage(), resetUsage(), debug traces, progress updates, or telemetry for AxAgent runs.Votes: 0GitHub stars: 2,960
- Ax Agent OptimizeThis skill helps an LLM generate correct AxAgent tuning and evaluation code using @ax-llm/ax. Use when the user asks about agent.optimize(...), judgeOptions, eval datasets, optimization targets, saved optimizedProgram artifacts, or agent optimization guidance.Votes: 0GitHub stars: 2,960
- Ax Agent RlmThis skill helps an LLM generate correct AxAgent RLM/runtime code using @ax-llm/ax. Use when the user asks about RLM code execution, AxJSRuntime, contextFields, contextPolicy, liveRuntimeState, promptLevel, stage prompt controls, executorModelPolicy, maxRuntimeChars, agent.test(...), llmQuery(...), recursionOptions, or long-running agent runtime behavior.Votes: 0GitHub stars: 2,960
- Ax AgentThis skill helps an LLM generate correct core AxAgent code using @ax-llm/ax. Use when the user asks about agent(), child agents, namespaced functions, discovery mode, clarification, bubbleErrors, host-side final/clarification protocol, or ordinary agent runtime behavior. For MCP clients, native runtime modules, subscriptions, tasks, or authentication use ax-mcp alongside this skill. For RLM/code-runtime work use ax-agent-rlm; for callbacks and telemetry use ax-agent-observability; for recall/...Votes: 0GitHub stars: 2,960
- Ax AiThis skill helps an LLM generate correct AI provider setup and configuration code using @ax-llm/ax. Use when the user asks about ai(), providers, models, routing, adaptive balancing, presets, embeddings, batch audio with ai.transcribe() or ai.speak(), extended thinking, context caching, or mentions OpenAI/Anthropic/Google/Azure/DeepSeek/Meta/Mistral/Cohere/Reka/Grok/Typesafe/Jev with @ax-llm/ax.Votes: 0GitHub stars: 2,960
- Ax AudioThis skill helps an LLM generate correct audio code with @ax-llm/ax. Use when the user asks about ai.transcribe(), ai.speak(), signature audio inputs or outputs, agent audio behavior, .chat() conversational audio, OpenAI audio or realtime models, Gemini Live native audio, Grok Voice Agent models, voices, formats, transcripts, or how audio fits with structured outputs.Votes: 0GitHub stars: 2,960
- Ax FlowThis skill helps an LLM generate correct AxFlow workflow code using @ax-llm/ax. Use when the user asks about flow(), AxFlow, workflow orchestration, parallel execution, DAG workflows, conditional routing, map/reduce patterns, or multi-node AI pipelines.Votes: 0GitHub stars: 2,960
- Ax GenThis skill helps an LLM generate correct AxGen code using @ax-llm/ax. Use when the user asks about ax(), AxGen, generators, forward(), streamingForward(), validation, assertions, streaming assertions, field processors, step hooks, self-tuning, or structured outputs. For MCP clients, transports, prompts, resources, tasks, subscriptions, or authentication use ax-mcp alongside this skill.Votes: 0GitHub stars: 2,960
- Ax GepaThis skill helps an LLM generate correct AxGEPA optimization code using @ax-llm/ax. Use when the user asks about AxGEPA, GEPA, Pareto optimization, multi-objective prompt tuning, reflective prompt evolution, validationExamples, maxMetricCalls, or optimizing a generator, flow, or agent tree.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 McpThis skill helps an LLM build correct native Model Context Protocol integrations with @ax-llm/ax. Use when the user asks about AxMCPClient, MCP transports, tools, prompts, resources, subscriptions, tasks, sampling, elicitation, roots, authentication, OAuth, MCP Apps, recording/replay, or MCP integration with AxGen, AxAgent, AxFlow, chat, optimization, and AxEventRuntime.Votes: 0GitHub stars: 2,960
- Ax PlaybookThis skill helps an LLM generate correct playbook code using @ax-llm/ax. Use when the user asks about playbook(), AxPlaybook, context playbooks, evolving context, ACE / Agentic Context Engineering, agent.playbook(), or growing/applying task knowledge offline and online with evolve() and update().Votes: 0GitHub stars: 2,960
- Ax RefineUse this skill when writing or reviewing Ax bestOfN/refine code, reward functions, thresholds, native sample selection, serial attempts, generated advice, and attempt diagnostics.Votes: 0GitHub stars: 2,960
- Ax SignatureThis skill helps an LLM generate correct DSPy signature code using @ax-llm/ax. Use when the user asks about signatures, s(), f(), field types, string syntax, fluent builder API, validation constraints, or type-safe inputs/outputs.Votes: 0GitHub stars: 2,960
- Ax Cpp TypesafeUse when writing C++ code with `axllm` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.Votes: 0GitHub stars: 2,960
- Ax Go TypesafeUse when writing Go code with `github.com/ax-llm/ax/packages/go` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.Votes: 0GitHub stars: 2,960
- Ax Java TypesafeUse when writing Java code with `dev.axllm:ax` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.Votes: 0GitHub stars: 2,960
- Ax Python TypesafeUse when writing Python code with `axllm` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.Votes: 0GitHub stars: 2,960
- Ax Rust TypesafeUse when writing Rust code with `axllm` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.Votes: 0GitHub stars: 2,960
- Ax TypesafeUse Typesafe Jev models with @ax-llm/ax in TypeScript. Covers boolean/class signatures with value descriptions, provider trueThreshold, native Noul/Choice/Score questions, structured criteria, probability-based decisions, and explicit hybrid generation.Votes: 0GitHub stars: 2,960
- Axir Language BackendUse when adding or changing generated AxIR language backends in this repo, including target registration, codegen templates, package metadata, examples, conformance, and verification. This is a repo-maintainer skill and must not be emitted into generated Ax packages.Votes: 0GitHub stars: 2,958
- Website Md Language DocsUse when changing Ax website language docs, language-specific snippets, examples, API symbol mappings, generated package capabilities, or adding a new website language route. Keeps the markdown-only Hugo site source-audited and generated from repo truth.Votes: 0GitHub stars: 2,958
- Ax Event RuntimeUse AxEventRuntime to ingest events, explicitly wake or resume AxGen, AxAgent, and AxFlow, persist state and results, and route outputs safely.Votes: 0GitHub stars: 2,958