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skill-meta-prompt

Craft better prompts using proven optimization techniques — use when your prompt needs refinement

53

Quality

60%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./.claude/skills/skill-meta-prompt/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

63%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.

A well-scaffolded methodology skill: the workflow is clearly phased with real verification checkpoints and most guidance is directly usable templates. Its two real defects are padding (redundant ASCII diagram, motivational sections) and the Model-Specific Adjustments section, which relies on three external files that are absent from the bundle, making those instructions dead ends.

Suggestions

Either add the referenced files (skills/blocks/fable5-prompting.md, skills/blocks/frontier-model-routing.md, docs/GPT-5.6-PROMPTING.md) to the bundle or inline their key guidance; as written, three model-routing instructions cannot be followed.

Cut the 35-line ASCII overview diagram (it restates the phase structure that follows verbatim) and 'The Bottom Line' section — a projected ~60-line reduction with no loss of guidance.

Move the full worked example and the Five Techniques reference material into a references/ file with one-level-deep links, keeping SKILL.md to the phase workflow and output template.

DimensionReasoningScore

Conciseness

The body is mostly template-driven content that earns its place (question scripts, output format, worked example), but there is measurable padding: the 35-line ASCII diagram restates the phase list that follows it, 'The Bottom Line' section is motivational fluff, and Technique 4 coaches uncertainty-handling Claude already does by default. This fits anchor 3 ('mostly efficient but includes some unnecessary explanation or could be tightened') rather than anchor 2, since no section explains basic external concepts at length.

3 / 5

Actionability

Mostly executable guidance: exact clarifying-question scripts, a mandatory output template ('You MUST return the generated prompt in this exact format'), a complete worked example, decision matrices, and copy-paste error-message templates. It falls short of anchor 5 because the Model-Specific Adjustments steps instruct applying files that do not exist in the bundle ('skills/blocks/fable5-prompting.md', 'docs/GPT-5.6-PROMPTING.md'), leaving those adjustments un-executable as written.

4 / 5

Workflow Clarity

Six phases are clearly sequenced (gathering → analysis → assembly → iteration) with explicit validation woven throughout: verification checklists in the output template, feedback loops ('Loop back to Creator if issues found', 'If mismatch, identify error and recalculate'), and a dedicated Error Handling section. Not anchor 5 because Phases 2-4 are compressed into one section and the dangling file references sit mid-workflow without a fallback.

4 / 5

Progressive Disclosure

The body has genuinely good in-file structure (clear phase and technique headers), but it is a ~530-line monolith with no references/ directory, and its only cross-file pointers ('skills/blocks/frontier-model-routing.md', 'skills/blocks/fable5-prompting.md', 'docs/GPT-5.6-PROMPTING.md') point to files that do not exist anywhere in the bundle. This matches anchor 3 ('some structure; references present but not clearly signaled; content that should be separate is inline'); the broken references and clearly separable material (model-specific guidance, the full worked example) keep it from anchor 4.

3 / 5

Total

14

/

20

Passed

Description

57%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 has the right two-part shape (what + 'use when') and a defensible niche, but the capability statement is thin: one action verb wrapped in buzzword ('proven optimization techniques') and a circular trigger with no concrete user phrasings. It reads as a trimmed-down version of the good examples rather than a peer of them.

Suggestions

Replace 'proven optimization techniques' with the concrete actions the skill actually performs, e.g. 'Decompose tasks, assign expert personas, and embed verification steps into generated prompts'.

Add natural trigger phrasings users would actually say: 'Use when the user asks to write, improve, or optimize a prompt'.

Borrow the frontmatter trigger list's specificity (e.g. "create a prompt for", "optimize this prompt", "prompt engineering") into the description itself so trigger matching doesn't depend on the non-standard trigger field.

DimensionReasoningScore

Specificity

The description names the domain ('prompts') but offers only one action verb — 'Craft better prompts' — while 'proven optimization techniques' is unnamed buzzword filler. It sits between anchor 2 ('names the domain but actions are minimal or generic') and anchor 3 (which expects 1-2 concrete actions like 'Processes PDF files and extracts content'); the penalize-buzzwords guideline pulls it to 2.

2 / 5

Completeness

Both parts are present: the 'what' ('Craft better prompts using proven optimization techniques') and an explicit 'use when your prompt needs refinement' clause. Not anchor 5 because the 'when' is circular ('needs refinement' gives no concrete trigger phrases like 'user mentions X') and the 'what' is thin; above anchor 3 because an explicit 'Use when' clause exists.

4 / 5

Trigger Term Quality

Natural terms users would say — 'prompt', 'better prompts', 'refinement' — are present, but common variations users actually use ('improve this prompt', 'optimize my prompt', 'write a prompt for', 'prompt engineering') are missing. This matches anchor 3 ('some relevant keywords but missing common variations or synonyms'), short of anchor 4's 'a few natural terms missing'.

3 / 5

Distinctiveness Conflict Risk

Meta-prompt generation is a clear niche distinct from task-execution or writing skills. Minor overlap risk remains with general prompt-engineering or writing-assistant skills, matching anchor 4 ('mostly distinct; minor overlap risk with closely related skills') rather than anchor 5's fully distinct trigger set.

4 / 5

Total

13

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (530 lines); consider splitting into references/ and linking

Warning

frontmatter_unknown_keys

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

Warning

Total

14

/

16

Passed

Repository
nyldn/claude-octopus
Reviewed

Table of Contents

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