Content
85%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A strong router-style skill body: concrete request shapes, explicit security validation, clean path-based navigation, and verified one-level-deep references. Its main weakness is redundancy — component tables, the React Native warning, dataset-scoping advice, and doc URL lists are each repeated several times, inflating token cost without adding information.
Suggestions
State the IQ component names once (the Core Principles table) and have Path A/B reference it, or keep the tables only in the paths and drop the duplicate — currently the same table appears three times.
Mention the React Native limitation and the theme_id-not-applied caveat once each (e.g., in Core Principles/Avoid) instead of repeating them across four sections.
Drop the per-path doc URL blocks in favor of the consolidated Canonical Sources section (or vice versa) — most URLs currently appear twice in the file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense and avoids explaining known concepts, but it repeats the same facts many times: the IQ component-names table appears three times (Core Principles, Path A, Path B), the React Native limitation four times, the 'scope to 5–10 datasets' rule about four times, the theme_id-not-applied note four times, and the Canonical Sources section re-lists most per-path doc URLs. This fits the 'mostly efficient but could be tightened' anchor; the duplication is more than the 'minor instances' of the anchor at 4. | 3 / 5 |
Actionability | Fully actionable: an executable /aiprompt request body, exact endpoints and regional hosts, per-framework component names, an agent×task matrix, streaming event order, and a troubleshooting table mapping each symptom to a concrete fix. Deferring full payload shapes to the canonical API doc is a deliberate, signaled disclosure choice, not a gap. | 5 / 5 |
Workflow Clarity | The 'Choose the Right Path' table routes every goal to a concrete path, the [CRITICAL] Security Checkpoint is an explicit validation checklist with a 'STOP and fix before proceeding' gate, Path D gives numbered steps, and the Common IQ Issues table supplies error→fix feedback loops. Multi-step work is clearly sequenced with real checkpoints. | 5 / 5 |
Progressive Disclosure | A Bundled References section summarizes each reference file in one line, every path points to its own reference (saved-agents, data-modeling-for-iq, agentic-integration, mcp-server), and all four reference files exist, are substantive (100–180 lines each), and are exactly one level deep. Structure matches the clear-overview anchor. | 5 / 5 |
Total | 18 / 20 Passed |