Content
88%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 high-quality body with executable examples, a clear sequenced workflow, and thorough validation/error-handling guidance. Minor conciseness tightening and a touch more content separation would round it out.
Suggestions
Consolidate the AI-summary consent/budget caveats into one place (step 6) and reference it from the update and error-handling sections instead of restating the gates three times.
Consider trimming the 'happy path' essay to the essential decision rule plus one example sentence to reduce discursiveness.
If the happy-path comparison and parameter mapping grow further, move them into a reference file and link to it from SKILL.md to strengthen progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — it skips explaining PostHog/Slack/subscriptions and uses tables and code blocks — but the discursive 'happy path' framing and repeated AI-summary consent caveats across three sections could be trimmed. | 4 / 5 |
Actionability | It provides copy-paste-ready JSON for insight, dashboard, and Slack creation, a parameter-mapping table, concrete MCP tool names, and explicit defaults, fully covering the common cases. | 5 / 5 |
Workflow Clarity | The numbered steps (1–6) include explicit validation checkpoints — verifying Slack availability before creating, duplicate checks, Slack-not-connected refusal with an email fallback, and quota/budget gates — with clear error-recovery feedback loops. | 5 / 5 |
Progressive Disclosure | No bundle files exist; the single SKILL.md is well-organized with clear section headers and appropriate one-level links to two sibling skills, though the inlined happy-path essay and parameter table could arguably be split out. | 4 / 5 |
Total | 18 / 20 Passed |