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multi-ai-skill-builder

Meta-skill for building Claude Code skills using Multi-AI research, planning, and implementation. Coordinates Claude, Gemini, and Codex for comprehensive research, synthesizes findings, and generates production-ready skills. Use when creating new skills, enhancing existing skills, researching skill domains, or building skill families.

Quality

75%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./.claude/skills/multi-ai-skill-builder/SKILL.md

The canonical home for this skill is multi-ai-skill-builder in fernandezbaptiste/Skrillz

SKILL.md
Quality
Evals
Security

Quality

Content

58%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's core strength is a clearly sequenced 5-phase workflow with real validation checkpoints and a refinement feedback loop, backed by executable gemini/codex/mkdir commands. Its weaknesses are significant padding/duplication across ~517 lines and a progressive-disclosure failure: referenced template files don't exist in the bundle while bulky templates are inlined instead.

Suggestions

Create the referenced `templates/` files (SKILL_TEMPLATE.md, REFERENCE_TEMPLATE.md, SYNTHESIS_TEMPLATE.md) — or move the inlined SKILL.md template, synthesis document format, and delivery summary format into actual reference files — so SKILL.md becomes a lean overview with working references instead of dangling ones.

Remove duplicated content: the Quality Checklist section repeats Step 4's validation criteria, the template in section 3.2 duplicates the Templates section, and the ECS example's line counts and byte counts are vanity metrics that add tokens without guidance.

Consolidate the placeholder-laden artifacts (SYNTHESIS_AND_PLAN.md, DELIVERY_SUMMARY.md) into one canonical template each, trimming "[Finding 1]"-style filler rows to the minimum needed to convey the format.

DimensionReasoningScore

Conciseness

The ~517-line body has several padded/duplicated sections: a full SKILL.md template inlined in section 3.2 and again referenced in Templates, a Quality Checklist that duplicates Step 4's validation criteria, placeholder-laden synthesis/delivery templates, and vanity metrics in the ECS example ("2,209+ lines across 15 files"). This is noticeably verbose with multiple unnecessary sections (anchor 2), though it never drifts into explaining concepts Claude already knows (not anchor 1).

2 / 5

Actionability

Concrete, copy-pasteable commands appear throughout: `gemini -p "Research [TOPIC]…"`, `codex "Research GitHub patterns for [TOPIC]…"`, `mkdir -p .analysis/[topic]-research`, `head -20 .claude/skills/[skill-name]/SKILL.md`, and specific subagent prompts. Mostly executable guidance with minor gaps (anchor 4); not anchor 5 because much of it is template placeholder text and the gemini/codex CLIs are assumed rather than verified.

4 / 5

Workflow Clarity

The five-step workflow (Research → Synthesis → Build → Validation → Refinement) is clearly sequenced with time estimates, explicit validation checkpoints (structure checklist, multi-AI review with scoring), and a genuine feedback loop ("Apply Feedback" → "Final Quality Check" requiring score ≥85/100). This matches anchor 5: clear sequence, explicit validation steps, feedback loops, and checklists.

5 / 5

Progressive Disclosure

The body points to `templates/SKILL_TEMPLATE.md`, `templates/REFERENCE_TEMPLATE.md`, and `templates/SYNTHESIS_TEMPLATE.md`, but none of these files (nor any references/ directory) exist in the bundle — the references are dangling. Meanwhile large templates (the full SKILL.md template, synthesis doc format, delivery summary format) are inlined in the body, content that clearly belongs in separate files. Scored against the actual bundle structure, this matches anchor 2; not anchor 1 because the body itself is well-sectioned and navigable.

2 / 5

Total

13

/

20

Passed

Description

83%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 is strong: it uses third person, names concrete coordinated actions across Claude/Gemini/Codex, and closes with an explicit multi-trigger "Use when" clause. Its weaknesses are minor — some natural trigger synonyms are missing and it could sharpen its distinction from generic skill-builder skills.

DimensionReasoningScore

Specificity

"Coordinates Claude, Gemini, and Codex for comprehensive research, synthesizes findings, and generates production-ready skills" lists several specific concrete actions in third person, with minor coverage gaps (planning and validation are named only abstractly). It lists several specific actions rather than just 1-2, so it sits above anchor 3, but is not comprehensive enough for anchor 5.

4 / 5

Completeness

It explicitly answers what ("Coordinates Claude, Gemini, and Codex… synthesizes findings, and generates production-ready skills") and when ("Use when creating new skills, enhancing existing skills, researching skill domains, or building skill families") with concrete trigger phrases. Both halves are fully explicit, matching anchor 5 rather than the could-be-more-explicit anchor 4.

5 / 5

Trigger Term Quality

"Use when creating new skills, enhancing existing skills, researching skill domains, or building skill families" gives natural phrases users would say. A few natural terms/synonyms are missing (e.g., "authoring skills", "improve a skill"), so it matches anchor 4 rather than the comprehensive synonym coverage of anchor 5.

4 / 5

Distinctiveness Conflict Risk

The Multi-AI meta-skill niche for building Claude Code skills is mostly distinct, but the trigger space overlaps with sibling skill-builder skills (the body itself lists "skill-builder-generic" as related). Minor overlap risk matches anchor 4 rather than the minimal-conflict anchor 5.

4 / 5

Total

17

/

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 (517 lines); consider splitting into references/ and linking

Warning

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

Total

14

/

16

Passed

Repository

fernandezbaptiste/Skrillz

Path

.claude/skills/multi-ai-skill-builder/SKILL.md

Reviewed

Table of Contents

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