Conciseness

The body is lean and assumes Claude's competence ("Do not write tutorial prose; pick the tool and hand off"), with concrete syntax like "contextPolicy: { preset: 'checkpointed', budget: 'balanced' }" and "autoUpgrade (ON by default) keeps it runtime-only". However, Defaults bullets such as "Evolve a context playbook -> agent.playbook(...) (offline from examples, or online from live feedback)" and "Tune instructions/demos offline -> agent.optimize(...) (GEPA)" largely restate the routing table's rows, and the See Also section repeats the table's Next-skill column — minor trimmable redundancy that places this between anchors 4 and 5.

Actionability

Every routing decision lands on a concrete tool with exact call syntax ("agent.playbook(...)", "recall(...) for memories, discover({ skills }) for skill guides") and a named handoff skill, plus actionable default configuration ("move to lean for very long runs with strong models, full for short tasks or weak models"). As an instruction-only routing skill the guidance is fully actionable without code blocks, per the rubric's code-vs-instruction note.

Workflow Clarity

This is a simple single-purpose skill (pick the right tool, hand off) and the decision procedure is unambiguous: the need→tool table resolves the choice, Defaults supply configurations, and Anti-Patterns catch the common mistakes ("Do not use contextMap to compress a single run's history. That is contextPolicy."). No destructive or batch operations exist, so the validation cap does not apply.

Progressive Disclosure

The skill is under 50 lines with well-organized sections and no bundle files to disclose; its handoffs to sibling skills (ax-agent-rlm, ax-agent-memory-skills, ax-agent-optimize) are one level deep and clearly signaled. Per the rubric's simple-skill guidance, this earns a 5 on organization alone.

Specificity

The description enumerates five concrete, individually scoped capabilities: "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", and "recall/memories + skills for per-turn retrieval". This is comprehensive coverage of concrete actions with no vague filler, matching the anchor for multiple specific concrete actions.

Completeness

It explicitly answers what ("helps an LLM pick the right AxAgent context tool for a job", then names each tool and its job) and when ("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"). Both halves are concrete and explicit, matching the anchor-5 example's structure.

Trigger Term Quality

Natural trigger phrases are present and well-chosen — "which context feature should I use", "confuses contextMap with contextPolicy or memory", "decision guide for long-context agents" — but coverage stops short of comprehensive: common user phrasings like "context window is too full", "compaction", or "trim the conversation history" are absent. This sits between anchor 4 (good keyword coverage, a few natural terms missing) and anchor 5.

Distinctiveness Conflict Risk

The description carves out a clear routing niche and explicitly disambiguates against its siblings: "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". This is stronger than the anchor-5 example, which lacks such explicit sibling routing, so it cannot be scored below 5.