Conciseness

The ~675-line body is almost purely operational directives — no explanations of concepts Claude already knows, no tutorial padding — e.g., "Never write empty placeholders, and never wait for setup answers before you write instructions". It fits the 'efficient; minor instances of over-explanation that could be trimmed' anchor: there is noticeable redundancy across sections (the no-re-configure-channel rule after finish_setup appears in both Initial build and Example flows; starter-draft caveats and pending-setup handling are restated in Build workflow and Model selection), and Model selection runs long, but nothing is fluff.

Actionability

For an instruction-only skill the guidance is fully concrete: exact tool invocations ("agent-context({ type: "config" })", "setup_credentials({ target: "agent", credentials: [{ credentialType: "<selected.credentialType>", reason: "Connect Notion MCP" }] })"), exact config shapes ("{ "enabled": true, "storage": "n8n", "observationalMemory": { "enabled": true } }"), named error codes with prescribed responses ("gateway_credits_unavailable", "code: "invalid_model""), and copy-ready example flows. This matches the 'fully executable... specific examples cover the common cases' anchor.

Workflow Clarity

The 11-step Build workflow gives a fully ordered sequence, and error-recovery feedback loops are explicit: "A failed write saves nothing: fix the payload and retry with the same baseConfigHash. A stage: "stale" result carries the current config and configHash: apply your change again to that config and retry once", plus the invalid_model retry loop and per-section "Verify:" checklists. This matches the 'clear sequence with explicit validation steps; feedback loops for error recovery; checklists' anchor.

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are absent), and detail is delegated one level deep to clearly signaled sibling skills with load triggers ("Load agent-builder-config before your first agent_builder_write_config... call", "Load agent-builder-memory for Episodic... memory"). Structure is good, but the main file is a ~675-line near-monolith that inlines substantial detail (full Model-selection edge-case handling, Memory defaults, channel policy) that could live in the referenced per-topic skills, matching anchor 4 ('most content is appropriately placed; references mostly clear; minor organization gaps') rather than the lean-overview 5 anchor.

Specificity

Quotes: "create, configure, test, and publish n8n Agents" plus an explicit scope list ("targeting, prerequisites, initial build, config freshness, interactive setup, models, memory, tools, and reply style") — several specific actions with comprehensive topical coverage. It would reach the 5 anchor, but the description is written in second person ("Governs how you create... Agents yourself"), which the judging guidelines penalize by reducing specificity by 1.

Completeness

Both parts are present: the 'what' is concrete ("Governs how you create, configure, test, and publish n8n Agents yourself with the agent_builder_* tools") and the 'when' is explicit ("Load immediately after an Agent intent, before the first agent_builder_* call"; "Use directly for routine Agent follow-ups"). The 'when' is framed as internal routing guidance rather than concrete user trigger phrases (no 'Use when the user asks to build/publish an Agent'), so it matches anchor 4 ('when' could be more explicit or specific) rather than the 5 anchor.

Trigger Term Quality

Quotes: "n8n Agents", "create, configure, test, and publish", "routine Agent follow-ups" — good coverage of the natural phrases a user building an n8n Agent would say. A few common variations are missing (e.g., "AI agent", "assistant", "bot", "make it live", channel/tool names like Slack or Notion), so it fits the 'good keyword coverage; a few natural terms missing' anchor rather than the comprehensive 5.

Distinctiveness Conflict Risk

Quotes: "n8n Agents yourself with the agent_builder_* tools" — a clear niche pinned to a specific platform and tool family, with routing hints ("rerun intent-recognition only when the requested artifact is no longer clear") that further reduce mis-triggering. It is clearly distinguishable from generic agent- or workflow-building skills, matching the 'clear niche with distinct triggers; minimal conflict risk' anchor.