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lading-optimize-find-target

Finds a valid optimization target in lading. Returns a filled target.yaml template with pattern, technique, target, file, bench, and fingerprint. Use before /lading-optimize-hunt or when selecting a new optimization target.

67

Quality

81%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

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 well-structured, highly actionable skill that provides Claude with a clear 7-phase workflow for finding optimization targets. Its strengths are the precise file paths, concrete commands, exhaustive pattern table, and explicit filtering/ranking criteria. The main weakness is that the content is somewhat long and could benefit from splitting the pattern reference table into a separate asset file for better progressive disclosure.

Suggestions

Consider extracting the Known Patterns table into a separate asset file (e.g., `assets/patterns.yaml`) and referencing it from the SKILL.md to reduce body length and improve progressive disclosure.

Tighten Phase 3 prose — the explanation of what to extract from db.yaml entries could be condensed into a bullet list without the explanatory sentences about 'This history teaches you what to look for.'

DimensionReasoningScore

Conciseness

The skill is mostly efficient and avoids explaining basic concepts, but the Known Patterns table and the detailed multi-phase structure are somewhat verbose. The pattern table earns its place as a reference, but some prose could be tightened (e.g., Phase 3's explanation of what to extract from history entries).

2 / 3

Actionability

Highly actionable throughout: concrete glob paths, specific script commands, exact file locations, a complete pattern-matching table with before/after techniques, explicit procedures for each phase, and a precise YAML output template. Claude can follow this without ambiguity.

3 / 3

Workflow Clarity

Seven clearly sequenced phases with explicit validation/filtering steps (Phase 5 filters already-done work and missing benchmarks), a mandatory cross-product check in Phase 4 with 'must follow exactly' instructions, ranking criteria with tiebreakers, and a clear stop condition ('If zero survive, STOP'). The workflow is thorough with appropriate checkpoints.

3 / 3

Progressive Disclosure

The skill references external files (db.yaml, profile-modules script, fingerprint configs) appropriately, but the body itself is quite long and monolithic. The Known Patterns table and detailed procedures could potentially be split into a referenced asset file. However, no bundle files were provided to confirm whether supporting files exist, and keeping everything inline is defensible for a single-purpose skill.

2 / 3

Total

10

/

12

Passed

Description

85%

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 well-structured skill description that clearly defines what it does and when to use it, with specific output details (target.yaml fields) and explicit trigger conditions. Its main weakness is that the trigger terms are highly domain-specific, which could limit discoverability if a user phrases their request in more general terms. However, given the specialized nature of this skill, the technical terminology is likely appropriate for its target audience.

Suggestions

Consider adding more natural language trigger terms such as 'find optimization opportunity', 'select what to optimize', or 'pick a benchmark target' to improve discoverability for users who may not know the exact terminology.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: finding a valid optimization target, returning a filled target.yaml template, and specifies the template fields (pattern, technique, target, file, bench, fingerprint).

3 / 3

Completeness

Clearly answers both 'what' (finds optimization target, returns filled target.yaml template with specific fields) and 'when' (use before /lading-optimize-hunt or when selecting a new optimization target) with explicit trigger guidance.

3 / 3

Trigger Term Quality

Includes domain-specific terms like 'lading', 'optimization target', 'target.yaml', but these are technical/project-specific jargon rather than natural keywords a user would commonly say. Missing broader natural language variations.

2 / 3

Distinctiveness Conflict Risk

Highly distinctive with a clear niche: specific to 'lading' optimization targets and the target.yaml template format. References a specific companion skill (/lading-optimize-hunt), making it very unlikely to conflict with other skills.

3 / 3

Total

11

/

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.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
DataDog/lading
Reviewed

Table of Contents

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