skillpack-creator

Create a reusable SkillPack from a successful completed task. Use when the user wants to convert a one-off research, coding, analysis, or content workflow into a distributable local SkillPack with `skillpack.json`, local skills under `skills/`, starter prompts, start scripts, and an optional zip package.

Quality

100%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Passed

No findings from the security scan

Quality

Content

100%

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

A well-structured procedural skill: lean sequencing, concrete executable guidance tied to real bundle files, an explicit validation checkpoint, and clean one-level-deep reference navigation. The only minor gap is an implicit rather than spelled-out validate-fix-retry loop.

Dimension	Reasoning	Score
Conciseness	The body is lean and instruction-focused with no concept-explanation padding (no "what is a SkillPack" tutorial); every section and code block earns its place, matching the lean/efficient anchor.	3 / 3
Actionability	Provides fully executable, copy-paste-ready commands ("python3 skills/skillpack-creator/scripts/scaffold_skillpack.py --manifest … --output … --zip") plus a concrete manifest JSON and YAML frontmatter example, referencing a real scaffold script.	3 / 3
Workflow Clarity	A clear 6-step numbered sequence with an explicit validation checklist in step 6 ("Before handing the pack back, confirm:") and a script that "validates the manifest"; checkpoints are explicit, exceeding the implicit-checkpoint anchor at 2, though an explicit fix-and-retry feedback loop is only implied.	3 / 3
Progressive Disclosure	SKILL.md is an overview that signals a one-level-deep reference ("See `references/skillpack-format.md` for exact pack semantics") and a real scaffold script; both bundle files exist and content is appropriately split rather than inlined.	3 / 3
	Total	12 / 12 Passed

Description

100%

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

A strong description: third-person voice, explicit "Use when" trigger, concrete artifact list, and a distinct niche. It matches the rubric's good examples that pair a capability statement with explicit when-to-use guidance.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions and artifacts — "Create a reusable SkillPack from a successful completed task" plus "`skillpack.json`, local skills under `skills/`, starter prompts, start scripts, and an optional zip package" — matching the multi-action anchor rather than the single-domain anchor at 2.	3 / 3
Completeness	Explicitly answers both what (create a SkillPack with the listed components) and when via an explicit "Use when…" trigger clause, satisfying the top anchor; a missing trigger clause would have capped this at 2.	3 / 3
Trigger Term Quality	The "Use when the user wants to convert a one-off research, coding, analysis, or content workflow into a distributable local SkillPack" clause covers natural terms users would say (research/coding/analysis/content workflow, convert into a reusable skill pack), beyond a single keyword.	3 / 3
Distinctiveness Conflict Risk	The narrow trigger of converting a completed task into a distributable SkillPack is a clear niche with distinct triggers unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 Passed

Validation

100%

Warnings & errors only

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: CreminiAI/skillpack
Path: skills/skillpack-creator/SKILL.md
Commit: fed3ea6

Reviewed: about 1 hour ago

Table of Contents

Discovery Implementation Validation

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