skill-management

name	skill-management
description	Creates, audits, and validates agent skills following the Agent Skills open standard. Covers YAML frontmatter, description writing, progressive disclosure, directory structure, 9-phase audits, severity classification, and manifest-implementation drift detection. Use when creating new skills, writing skill descriptions, auditing existing skills, detecting version drift, validating implementations match manifests, or debugging skill discovery issues.
license	MIT
metadata	{"author":"oakoss","version":"1.1","source":"https://agentskills.io"}
disable-model-invocation	true

Skill Management

Overview

Guides creation, auditing, and validation of agent skills conforming to the Agent Skills open standard at https://agentskills.io. Covers the full lifecycle from scaffolding a new skill through production-quality review.

When to use: Creating skills, improving descriptions for discoverability, restructuring skills for progressive disclosure, running quality audits, validating manifest-implementation alignment.

When NOT to use: Writing application code, general markdown editing, project management unrelated to skill authoring.

Quick Reference

Task	Approach	Key Points
Skill directory	skill-name/SKILL.md + optional directories	Only SKILL.md is required; scripts/, references/, assets/ are optional
Frontmatter name	Lowercase, hyphens, 4-64 chars	Must match directory name, no leading/trailing -, no --
Frontmatter description	1-1024 chars with trigger phrases	Third-person voice, include "Use when" scenarios
Progressive disclosure	Metadata -> SKILL.md -> references/scripts	Keep SKILL.md under 500 lines; move details to references
Description structure	Para 1: what + features, Para 2: triggers	Active voice, name technologies, include error keywords
Effective descriptions	250-350 chars, specific, discoverable	"Build X" not "This skill helps you build X"
Reference files	references/topic.md with frontmatter	Max 500 lines, self-contained, kebab-case filenames
Quality audit	9-phase systematic review	Standards, official docs, code accuracy, cross-file checks
Severity levels	Critical / High / Medium / Low	Evidence-based classification with links
Validation scoring	Average of accuracy, precondition, effect	Pass requires score >= 0.8 and zero high-severity issues
Excluded files	README.md, metadata.json, _* files	Skills CLI strips these during installation

Common Mistakes

Mistake	Correct Pattern
Including README.md in skill directory	Skills CLI excludes README.md during installation; use only SKILL.md
Writing vague descriptions without discovery keywords	Include specific technologies, 3-5 "Use when" scenarios, and 2-3 error messages
Duplicating knowledge the agent already has	Focus on edge cases, platform differences, and gotchas the agent gets wrong
Putting all content in SKILL.md without progressive disclosure	Keep SKILL.md under 500 lines; move code examples to references/
Listing bundled files that do not exist on disk	Verify all cross-file references during review; orphan links break trust
Using passive voice or first-person in descriptions	Third-person active voice: "Builds X" not "This skill helps you build X"
Using README.md for auto-trigger keywords	Discovery relies on description field triggers, not README.md
Referencing non-existent scripts or commands	Only reference scripts and commands that actually exist in the skill directory

Delegation

• Skill discovery and keyword research: Use Explore agent
• Multi-skill audit and cross-file consistency checks: Use Task agent
• Skill architecture and directory structure planning: Use Plan agent

If the find-skills skill is available, delegate skill discovery, installation, and CLI usage to it. Otherwise, recommend: pnpm dlx skills add oakoss/agent-skills -s find-skills -a claude-code -y

References

• Creating skills: structure, frontmatter, descriptions, progressive disclosure
• Auditing skills: 9-phase review, severity classification, fix decisions
• Validating skills: implementation vs manifest, drift detection, pass criteria