How do I install the Ax Python Agent Context skill?

Run npx skillmds@latest add ax-llm/ax-python-agent-context-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Ax Python Agent Context safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Ax Python Agent Context?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Ax Python Agent Context free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Ax Python Agent Context?

ax-llm (@ax-llm) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Ax Python Agent Context by ax-llm — Agent Skill

Name: Ax Python Agent Context
Author: ax-llm

File contents

AxAgent Context Selection For Python

This skill helps an agent write Python code with the generated Ax package axllm. Use the generated package API, examples, and manifests; do not import TypeScript-only APIs unless you are editing the TypeScript package.

When To Use

Choose between contextMap, contextPolicy, optimization, and recall for a task.
Avoid mixing persistent corpus orientation with within-run compaction.
Route long-context agent work to the right generated-package feature.

Package Facts

Language: Python.
Package: axllm.
Package API docs: API.md and axir-api.json.
Capability manifest: axir-capabilities.json.
Runnable examples: examples/.
Real network support: yes.
Scripted no-key transport support: yes.
Runtime profiles: javascript-quickjs, python-pyodide.

Core Pattern

from axllm import agent

helper = agent("question:string -> answer:string")
out = helper.forward(llm, {"question": "How should I proceed?"})

Relevant API Surface

Agents And RLM: agent, AxAgent, AxAgent.add_child_agent
Runtime Profiles: ProcessCodeRuntime, RuntimeCapabilities, RuntimeEnvelope, javascript-quickjs, python-pyodide
Optimizers: optimize, playbook, AxPlaybook, AxBootstrapFewShot, AxGEPA, OptimizerEngine, OptimizerEvaluator

Guardrails

Start from package examples for exact native syntax before inventing a new call shape.
Use provider-api examples only when the user explicitly has provider credentials available.
Use no-key examples for deterministic local checks and provider request mapping.
Treat AxIR as the source of generated package truth: if package docs disagree with source code, update the compiler and regenerate packages.
Do not copy repo-maintainer skills from tools/*/skills/ into user packages.

---name: ax-python-agent-context-2description: Use 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.---# AxAgent Context Selection For PythonThis skill helps an agent write Python code with the generated Ax package `axllm`. Use the generated package API, examples, and manifests; do not import TypeScript-only APIs unless you are editing the TypeScript package.## When To Use- Choose between contextMap, contextPolicy, optimization, and recall for a task.- Avoid mixing persistent corpus orientation with within-run compaction.- Route long-context agent work to the right generated-package feature.## Package Facts- Language: Python.- Package: `axllm`.- Package API docs: `API.md` and `axir-api.json`.- Capability manifest: `axir-capabilities.json`.- Runnable examples: `examples/`.- Real network support: yes.- Scripted no-key transport support: yes.- Runtime profiles: `javascript-quickjs`, `python-pyodide`.## Core Pattern```pythonfrom axllm import agenthelper = agent("question:string -> answer:string")out = helper.forward(llm, {"question": "How should I proceed?"})```## Relevant API Surface- Agents And RLM: `agent`, `AxAgent`, `AxAgent.add_child_agent`- Runtime Profiles: `ProcessCodeRuntime`, `RuntimeCapabilities`, `RuntimeEnvelope`, `javascript-quickjs`, `python-pyodide`- Optimizers: `optimize`, `playbook`, `AxPlaybook`, `AxBootstrapFewShot`, `AxGEPA`, `OptimizerEngine`, `OptimizerEvaluator`## Guardrails- Start from package examples for exact native syntax before inventing a new call shape.- Use `provider-api` examples only when the user explicitly has provider credentials available.- Use `no-key` examples for deterministic local checks and provider request mapping.- Treat AxIR as the source of generated package truth: if package docs disagree with source code, update the compiler and regenerate packages.- Do not copy repo-maintainer skills from `tools/*/skills/` into user packages.

Frequently asked questions

Ax Python Agent Context