webmaxru/enonic-agent-skills

skill-creator

Authors and structures professional-grade agent skills following the agentskills.io spec.

First seen Mar 29, 2026

Installation

$ npx skills add webmaxru/enonic-agent-skills --skill skill-creator

Summary

  • Authors and structures professional-grade agent skills following the agentskills.io spec.
  • Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability.
  • Don't use for general documentation, non-agentic library code, or README files.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,909 B
  • docs SUMMARY.md 2,822 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 356 installs

SKILL.md

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

  1. Define a unique name: 1-64 characters, lowercase, numbers, and single hyphens only.
  2. Draft a description: Max 1,024 characters, written in the third person, including negative triggers.
  3. Execute Validation Script: Run the validation script to ensure compliance before proceeding:

python scripts/validate-metadata.py --name "[name]" --description "[description]"

  1. 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

  1. Create the root directory using the validated name.
  2. 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.

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

Step 3: Draft Core Logic (SKILL.md)

  1. Use the template in assets/SKILL.template.md as the starting point.
  2. Write all instructions in the third-person imperative (e.g., "Extract the text," "Run the build").
  3. 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

  1. Identify "fragile" tasks (regex, complex parsing, or repetitive boilerplate).
  2. Outline a single-purpose script for the scripts/ directory.
  3. Ensure the script uses standard output (stdout/stderr) to communicate success or failure to the agent.

Step 5: Final Logic Validation

  1. Review the SKILL.md for "hallucination gaps" (points where the agent is forced to guess).
  2. Verify all file paths are relative and use forward slashes (/).
  3. 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/.