This 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, recall(...), inputs.memories, onLoadedMemories, onUsedMemories, onSkillsSearch, discover({ skills }), onLoadedSkills, onUsedSkills, preloaded skills, loaded memory/skill IDs, or carrying memories across forward() calls.
EnglishUse when writing C++ code with axllm for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.
EnglishUse when writing Go code with github.com/ax-llm/ax/go for agents, child delegation, tools, MCP, clarification, runtime state, and final typed responses.
EnglishUse when writing Go code with github.com/ax-llm/ax/go for AxGen programs, forward calls, streaming, tools, assertions, traces, usage, and output parsing.
EnglishUse when writing Go code with github.com/ax-llm/ax/go for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.
EnglishUse when writing Java code with dev.axllm:ax for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.
EnglishUse when writing Java code with dev.axllm:ax for agent optimization, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA.
EnglishUse when writing Java code with dev.axllm:ax for RLM executor loops, AxCodeRuntime sessions, runtime envelopes, process runtimes, and optional runtime profiles.
EnglishUse when writing Python code with axllm for agents, child delegation, tools, MCP, clarification, runtime state, final typed responses, and direct-respond executor skipping.
EnglishUse when writing Python code with axllm for the playbook() context-engineering surface, evolving task knowledge, online updates, and rendering a playbook into a program.
EnglishUse when writing Rust code with axllm for AxGen programs, forward calls, streaming, tools, assertions, traces, usage, and output parsing.
EnglishUse when writing Rust code with axllm for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.
English
AGENT SKILLS ATLASIncludes Ax Agent Memory Skills, Ax Cpp Refine, Ax Go Agent, and other workflows.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Ax Agent Memory Skills
This 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, recall(...), inputs.memories, onLoadedMemories, onUsedMemories, onSkillsSearch, discover({ skills }), onLoadedSkills, onUsedSkills, preloaded skills, loaded memory/skill IDs, or carrying memories across forward() calls.
Ax Cpp Refine
Use when writing C++ code with axllm for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.
Ax Go Agent
Use when writing Go code with github.com/ax-llm/ax/go for agents, child delegation, tools, MCP, clarification, runtime state, and final typed responses.
Ax Go Gen
Use when writing Go code with github.com/ax-llm/ax/go for AxGen programs, forward calls, streaming, tools, assertions, traces, usage, and output parsing.
Ax Go Refine
Use when writing Go code with github.com/ax-llm/ax/go for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.
Ax Java Agent Memory Skills
Use when writing Java code with dev.axllm:ax for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.
Ax Java Agent Optimize
Use when writing Java code with dev.axllm:ax for agent optimization, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA.
Ax Java Agent Rlm
Use when writing Java code with dev.axllm:ax for RLM executor loops, AxCodeRuntime sessions, runtime envelopes, process runtimes, and optional runtime profiles.
Ax Python Agent
Use when writing Python code with axllm for agents, child delegation, tools, MCP, clarification, runtime state, final typed responses, and direct-respond executor skipping.
Ax Python Playbook
Use when writing Python code with axllm for the playbook() context-engineering surface, evolving task knowledge, online updates, and rendering a playbook into a program.
Ax Rust Gen
Use when writing Rust code with axllm for AxGen programs, forward calls, streaming, tools, assertions, traces, usage, and output parsing.
Ax Rust Gepa
Use when writing Rust code with axllm for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Ax Agent Memory Skills skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: Apache-2.0. The author’s terms apply.