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lading-optimize-hunt

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

76

1.37x
Quality

68%

Does it follow best practices?

Impact

88%

1.37x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

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

Quality

Content

86%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is a well-sequenced, highly actionable coordinator skill with strong validation checkpoints and executable commands throughout. Its main weakness is the description-level trigger guidance (separate rubric) rather than the body itself, which is concise, clear, and well-structured.

DimensionReasoningScore

Conciseness

The body is largely lean and assumes competence — phases are short, commands are direct, and it does not explain what cargo/hyperfine are — with only minor repetition (the coordinator role and 'Print it out' lines restated a few times) that could be trimmed.

4 / 5

Actionability

Fully executable, copy-paste-ready bash commands are given for baseline capture, macro/micro benchmarks, validation, and recording, with concrete file paths and argument templates that cover the common cases.

5 / 5

Workflow Clarity

Six phases (0–5) are clearly sequenced with explicit CRITICAL validation checkpoints ('All benchmarks must complete before continuing', 'ci/validate', 'If ci/validate repeatedly fails... document it and stop'), an error-recovery loop, and a clear handoff contract with find-target and review.

5 / 5

Progressive Disclosure

Structure is well-organized with one-level-deep references to real bundle files (assets/db.yaml, index.template.yaml, db/<id>.yaml), all of which exist; it stops short of 5 because the body inlines the full baseline/recording detail rather than presenting itself as a pure overview with signaled links to detail files.

4 / 5

Total

18

/

20

Passed

Description

50%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description states clearly what the skill does as a coordinator (baseline, implement, review, record) but omits any explicit 'when to use' trigger guidance and relies on the single weak term 'optimization attempts'. Adding a concrete 'Use when...' clause with natural performance keywords would lift completeness and trigger quality.

Suggestions

Add an explicit 'Use when...' trigger clause naming concrete, user-natural phrases such as 'optimize', 'speed up', 'benchmark', or 'improve performance of lading payloads'.

Replace 'optimization attempts' with natural trigger keywords a user would actually say (e.g. 'optimize', 'make faster', 'reduce benchmark time').

Sharpen the 'what' with the specific target domain (lading payload benchmarks) so the description is distinct from generic coordination/review skills.

DimensionReasoningScore

Specificity

Lists four concrete coordinator actions ('Captures baselines, implements changes, invokes review, and records outcomes') rather than vague language, but each is a high-level phase rather than a granular capability, leaving minor coverage gaps.

4 / 5

Completeness

The 'what' is clearly stated (coordinates optimization attempts via baseline/change/review/record), but there is no 'Use when...' or equivalent trigger clause telling Claude when to invoke it, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

The only keyword is 'optimization attempts'; it lacks the natural phrases and synonyms a user would say (e.g. 'optimize', 'speed up', 'benchmark', 'perf', 'make faster'), and 'attempts' is an awkward trigger.

2 / 5

Distinctiveness Conflict Risk

'Coordinates optimization attempts' is a fairly generic coordination description that could overlap with other orchestration/review skills; the niche is only weakly distinguished and there are no distinct trigger phrases to separate it.

3 / 5

Total

12

/

20

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
DataDog/lading
Reviewed

Table of Contents

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