Content
67%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 well-structured, domain-specific skill with a genuinely gated workflow (curve-first, learning-phase-first) and concrete ledger commands. Its main weaknesses are repeated sibling-skill boundary statements that pad the token budget, placeholder-laden command examples, and reference paths that assume a parent repo layout without a verifiable local bundle.
Suggestions
State the budget-optimizer / bid-strategy-planner / ad-account-auditor boundary once (e.g. in the intro paragraph) and drop the restatements in Instructions, Reference Materials, and Next Best Skill to cut roughly 15% of body tokens.
Replace the "..." placeholders in the ledger.py record example with a fully worked JSON payload for one sample campaign, and state the default pacing band (e.g. ±10%) so the fire/hold trigger is executable without asking the user.
Include one worked example of the pacing table output (columns: percent-to-pace, verdict, driver, trigger, band) so the "user-facing pacing table" deliverable is concrete rather than implied.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient domain-specific content, but the budget-optimizer / bid-strategy-planner / ad-account-auditor boundary is restated four times (intro, Instructions close, Reference Materials, Next Best Skill), which is padding that could be cut to a single authoritative statement. | 3 / 5 |
Actionability | Gives executable commands (ledger.py record/trend with flags, the pace formula, the YYYY-MM-DD-<campaign>-pacing.md naming convention) and concrete memory paths, but the ledger JSON payload contains literal "..." placeholders and no default band values or worked pacing-table example are supplied. | 4 / 5 |
Workflow Clarity | Six numbered steps are clearly sequenced with real gates (fix the target curve before reading spend; never fire the trigger inside learning phase), input validation (ask for the export rather than estimating from a total), and a "Done when" checklist — but there is no explicit validate→fix→retry feedback loop, so it sits at anchor 4 rather than 5. | 4 / 5 |
Progressive Disclosure | The body is a well-organized overview with a Reference Materials section that signals each one-level-deep reference with a one-line purpose; however, no references/, scripts/, or assets/ bundle exists alongside the skill, and the referenced paths use inconsistent relative depths (../../../references/, ../../activate/, ../../../influencer/target/) into a parent repo that cannot be verified here. | 4 / 5 |
Total | 15 / 20 Passed |