Skill Authoring Procedure
SkillFiles & storageAuthors 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Skill Authoring Procedure skill
What this skill tells your AI
The instructions your AI receives, as published by compozy/kb in .agents/skills/skill-best-practices/SKILL.md and read by ahel’s review.
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
stderroutput 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.mdas 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.mdfor "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.pyfails, 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/.
Signals
- GitHub stars
- 108
- Forks
- 8
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
skill-best-practices- Source
- github.com/compozy/kb