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lading-optimize-hunt

Coordinates optimization attempts. Captures baselines, implements changes, invokes review, and records outcomes.

60

1.37x
Quality

43%

Does it follow best practices?

Impact

88%

1.37x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./.claude/skills/lading-optimize-hunt/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

9%

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 description is too abstract and domain-agnostic to be useful for skill selection. It reads like a generic workflow description rather than a skill description—it fails to specify what is being optimized, what types of changes are implemented, or when this skill should be triggered. The lack of natural trigger terms and a 'Use when...' clause makes it nearly impossible for Claude to reliably select this skill.

Suggestions

Specify the domain of optimization (e.g., 'code performance optimization', 'database query optimization', 'web page load time optimization') to make the description concrete and distinguishable.

Add a 'Use when...' clause with natural trigger terms, e.g., 'Use when the user asks to optimize performance, speed up code, reduce latency, or benchmark changes.'

Replace abstract process terms ('captures baselines', 'records outcomes') with concrete actions relevant to the domain, e.g., 'Runs benchmarks before and after changes, profiles code hotspots, and tracks performance metrics.'

DimensionReasoningScore

Specificity

Names some actions (captures baselines, implements changes, invokes review, records outcomes) but they are generic process steps rather than concrete domain-specific actions. 'Optimization attempts' is vague—optimization of what?

2 / 3

Completeness

Provides a vague 'what' but completely lacks a 'when' clause or any explicit trigger guidance. There is no indication of when Claude should select this skill over others.

1 / 3

Trigger Term Quality

No natural keywords a user would say. Terms like 'coordinates optimization attempts', 'captures baselines', and 'records outcomes' are abstract process language, not terms users would naturally use when requesting help.

1 / 3

Distinctiveness Conflict Risk

'Optimization' is extremely broad and could apply to code optimization, performance tuning, SEO, database queries, image compression, or countless other domains. No domain specificity to distinguish it from other skills.

1 / 3

Total

5

/

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 well-structured coordination skill with strong actionability and workflow clarity. The phased approach with explicit validation checkpoints and clear handoff points between hunt and review roles is effective. Minor weaknesses include some redundancy in the role description section and the inability to verify referenced bundle assets.

Suggestions

Trim the 'Role: Coordinator and Recorder' section — the DOES/DOES NOT lists largely repeat what the phases already make clear, saving ~8 lines of context window.

DimensionReasoningScore

Conciseness

Generally efficient but has some redundancy — the 'Hunt DOES / Hunt does NOT' section repeats information that's implicit in the workflow phases. The role clarification section could be tighter. However, most of the content earns its place with specific commands and clear instructions.

2 / 3

Actionability

Provides fully executable bash commands, specific file paths, concrete variable assignments, and exact command-line invocations. Each phase has copy-paste ready commands with clear parameter substitution patterns.

3 / 3

Workflow Clarity

Excellent multi-step workflow with clear sequencing (Phases 0-5), explicit validation checkpoints (ci/validate must pass before proceeding), cleanup of stale data before baseline capture, and clear error handling guidance (pre-existing bug documentation). The feedback loop for ci/validate failure is explicit.

3 / 3

Progressive Disclosure

References external slash commands (/lading-preflight, /lading-optimize-find-target, /lading-optimize-review) and template files appropriately, but the skill itself is fairly long with all content inline. The bundle has no supporting files provided, so we can't verify the referenced template or db.yaml paths. The structure is reasonable but the inline content is substantial.

2 / 3

Total

10

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
DataDog/lading
Reviewed

Table of Contents

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