skill-creator

Skill Authoring Procedure

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This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

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Install skill "skill-creator" with this command: npx skills add mgechev/skills-best-practices/mgechev-skills-best-practices-skill-creator

Skill Authoring Procedure

Follow these steps to generate a skill that adheres to the agentskills.io specification and progressive disclosure principles.

Step 1: Initialize and Validate Metadata

  • Define a unique name : 1-64 characters, lowercase, numbers, and single hyphens only.

  • Draft a description : Max 1,024 characters, written in the third person, including negative triggers.

  • Execute Validation Script: Run the validation script to ensure compliance before proceeding: python3 scripts/validate-metadata.py --name "[name]" --description "[description]"

  • If the script returns an error, self-correct the metadata based on the stderr output and re-run until successful.

Step 2: Structure the Directory

  • Create the root directory using the validated name .

  • Initialize the following subdirectories:

  • scripts/ : For tiny CLI tools and deterministic logic.

  • references/ : For flat (one-level deep) context like schemas or API docs.

  • assets/ : For output templates, JSON schemas, or static files.

  • Ensure no human-centric files (README.md, INSTALLATION.md) are created.

Step 3: Draft Core Logic (SKILL.md)

  • Use the template in assets/skill-template.md as the starting point.

  • Write all instructions in the third-person imperative (e.g., "Extract the text," "Run the build").

  • Enforce Progressive Disclosure:

  • Keep the main logic under 500 lines.

  • If a procedure requires a large schema or complex rule set, move it to references/ .

  • Command the agent to read the specific file only when needed: "Read references/api-spec.md to identify the correct endpoint."

Step 4: Identify and Bundle Scripts

  • Identify "fragile" tasks (regex, complex parsing, or repetitive boilerplate).

  • Outline a single-purpose script for the scripts/ directory.

  • Ensure the script uses standard output (stdout/stderr) to communicate success or failure to the agent.

Step 5: Final Logic Validation

  • Review the SKILL.md for "hallucination gaps" (points where the agent is forced to guess).

  • Verify all file paths are relative and use forward slashes (/ ).

  • Cross-reference the final output against references/checklist.md .

Error Handling

  • Metadata Failure: If scripts/validate-metadata.py fails, identify the specific error (e.g., "STYLE ERROR") and rewrite the field to remove first/second person pronouns.

  • Context Bloat: If the draft exceeds 500 lines, extract the largest procedural block and move it to a file in references/ .

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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