This 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 for long-context agents. For contextPolicy/contextMap codegen use ax-agent-rlm; for recall/skills use ax-agent-memory-skills; for agent.optimize or agent.playbook use ax-agent-optimize.
$npx -y skills add dosco/aithy --skill ax-agent-contextInstalls into the current project.
Run `npx skills use "https://github.com/dosco/aithy" --skill "dosco/aithy/ax-agent-context"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/dosco/aithy" that are relevant to the current task. Run `npx skills add "https://github.com/dosco/aithy"` and select the relevant skills, then follow their instructions.