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packmind-skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends CoPilot's capabilities with specialized knowledge, workflows, or tool integrations.

63

Quality

75%

Does it follow best practices?

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SecuritybySnyk

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tessl review fix ./.github/skills/packmind-skill-creator/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 delivers a well-structured, actionable 7-step skill-creation workflow with real bundled scripts and a validation feedback loop. Its chief weakness is conciseness, with conceptual framing sections that over-explain what CoPilot already knows.

Suggestions

Trim the 'About Skills', 'What Skills Provide', and directory-tree anatomy sections, which restate concepts CoPilot already knows; keep only the non-obvious procedural guidance.

Tighten Step 1 (Understanding) with concrete example prompts to evaluate rather than open-ended question lists.

Move detailed reference-style material (naming conventions, validation rules, distribution internals) into a references/ file and link from SKILL.md to better leverage progressive disclosure.

DimensionReasoningScore

Conciseness

The body is mostly efficient procedural guidance, but sections like 'About Skills', 'What Skills Provide', and the directory-tree diagram restate structural concepts CoPilot largely already knows and could be trimmed.

3 / 5

Actionability

It provides concrete, copy-paste-ready commands referencing real bundled scripts (init_skill.py, quick_validate.py, packmind-cli), though Step 1's guidance is more descriptive than executable.

4 / 5

Workflow Clarity

A clear 7-step sequenced process with prerequisite checks and a validate-fix-retry loop in Step 5, though Step 6 (Iterate) lacks explicit checkpoints.

4 / 5

Progressive Disclosure

SKILL.md is a well-organized overview pointing to two real bundled scripts at one level of depth; no references/ or assets/ exist, and some conceptual content is inlined that could move to reference files.

4 / 5

Total

15

/

20

Passed

Description

82%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 clearly conveys what the skill does and when to use it with explicit trigger phrasing in proper third-person voice. Its main weakness is specificity, where the actions remain high-level rather than enumerating concrete capabilities.

DimensionReasoningScore

Specificity

The description names the domain ('specialized knowledge, workflows, or tool integrations') and the actions 'create' and 'update' skills, but the concrete actions remain minimal and generic rather than a comprehensive list.

3 / 5

Completeness

It explicitly answers both 'what' ('Guide for creating effective skills') and 'when' ('This skill should be used when users want to create a new skill (or update an existing skill)...') with concrete trigger phrasing.

5 / 5

Trigger Term Quality

It includes the natural phrase 'create a new skill (or update an existing skill)' that users would say, but misses common synonyms and variations like 'build a skill' or 'skill template'.

4 / 5

Distinctiveness Conflict Risk

Skill-creation/updating is a distinct meta-skill niche with explicit triggers and minimal overlap risk against domain skills.

5 / 5

Total

17

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 12 missing

Warning

Total

15

/

16

Passed

Repository
cteyton/packmind
Reviewed

Table of Contents

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