ads-budget
Budget allocation and bidding strategy review across all ad platforms. Evaluates spend distribution, bidding strategy appropriateness, scaling readiness, and identifies campaigns to kill or scale. Uses 70/20/10 rule, 3x Kill Rule, and 20% scaling rule. Use when user says budget allocation, bidding strategy, ad spend, ROAS target, media budget, or scaling.
72
88%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that clearly communicates its purpose, lists concrete actions and proprietary frameworks, and provides explicit trigger terms. It uses proper third-person voice throughout and covers both the 'what' and 'when' dimensions effectively. The domain-specific terminology and named rules make it highly distinctive among potential competing skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: evaluates spend distribution, bidding strategy appropriateness, scaling readiness, identifies campaigns to kill or scale. Also names specific frameworks (70/20/10 rule, 3x Kill Rule, 20% scaling rule). | 3 / 3 |
Completeness | Clearly answers both 'what' (evaluates spend distribution, bidding strategy, scaling readiness, identifies campaigns to kill/scale) and 'when' with an explicit 'Use when...' clause listing specific trigger terms. | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'budget allocation', 'bidding strategy', 'ad spend', 'ROAS target', 'media budget', 'scaling'. These are terms practitioners naturally use when discussing ad budget optimization. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche in ad platform budget allocation and bidding strategy. The specific frameworks (70/20/10 rule, 3x Kill Rule) and domain-specific triggers (ROAS target, media budget) make it unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, highly actionable skill with clear workflows and validation checkpoints for budget allocation and bidding strategy review. Its main weakness is that it's somewhat long—the inline content (full bidding details per platform, 10-row platform matrix, v1.5 innovations) may duplicate what the referenced files should contain, suggesting a progressive disclosure issue. The concrete rules, thresholds, and decision frameworks make it very effective for guiding Claude through budget decisions.
Suggestions
Consider moving detailed per-platform bidding strategies and the full platform selection matrix into the referenced files (bidding-strategies.md, budget-allocation.md) and keeping only summary guidance in SKILL.md to improve conciseness and progressive disclosure.
Trim the v1.5 Bidding Innovations section to key decision-relevant facts (e.g., requirements and best-for criteria) rather than including marketing statistics and blog citations that may become stale.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly comprehensive and most content earns its place (decision trees, matrices, specific rules), but some sections like the platform selection matrix for 10 business types and the full bidding option lists for every platform include information Claude likely already knows or could infer. The v1.5 innovations section adds valuable time-sensitive detail but is somewhat verbose with marketing copy-style descriptions. | 2 / 3 |
Actionability | The skill provides highly concrete, specific guidance: exact budget thresholds ($20/day, $50/day), precise rules (70/20/10, 3x Kill Rule, 20% scaling rule), decision trees with clear branching logic, specific data requirements (≥20 clicks, ≥$100 spend), and worked examples (Week 1: $100→$120). The kill decision framework table is particularly actionable with clear scenario-action mappings. | 3 / 3 |
Workflow Clarity | The process section provides a clear 9-step sequence with two explicit validation checkpoints (step 6: confirm ≥14 days data, step 8: verify kill list candidates have sufficient data). The kill decision framework includes data sufficiency requirements before action, and the scaling section includes a monitoring feedback loop (3-5 days after each increase). This represents strong workflow design for a potentially destructive operation (pausing campaigns). | 3 / 3 |
Progressive Disclosure | The skill references four external files (budget-allocation.md, bidding-strategies.md, benchmarks.md, scoring-system.md) in the process steps, which is good progressive disclosure design. However, no bundle files were provided to verify these exist, and the SKILL.md itself is quite long (~200 lines of substantive content) with detailed bidding strategies and platform matrices that could arguably live in the referenced files rather than being duplicated/expanded inline. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- AgriciDaniel/claude-ads
- Commit
283d9d4
- Reviewed
Table of Contents
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