Validate SKILL.md frontmatter and generate a metadata block with schema.
npx skills add https://github.com/arendon1/agent-skills --skill skill-forge-arendon1
Please help me install this Agent Skill. Skill: skill-forge Source: https://github.com/arendon1/agent-skills/tree/main/skill-forge Command: npx skills add https://github.com/arendon1/agent-skills --skill skill-forge-arendon1
The Skill Forge provides a structured, auditable approach to creating, testing, and deploying AI agent skills, reducing context rot and increasing reliability.
Start by running the scaffolding tool to bootstrap a new skill and then polish its SKILL.md description for trigger clarity.
High-intent search queries and answers about installing and using this skill.
You can build and audit AI agent skills by using a deterministic framework that validates SKILL.md frontmatter, ensures required resources are present, and relies on scripts for heavy logic to reduce model drift and context rot.
A token loading hierarchy stores essential metadata globally, loads the full SKILL.md file only when needed, and fetches references on demand to minimize context usage and increase reliability during skill execution.
You create a new AI skill by running a scaffolding tool to bootstrap the structure, then defining a SKILL.md file with validated frontmatter including a name, description, and clearly described trigger conditions.
No, the framework operates with zero external dependencies, using built-in scripts and templates to validate self-contained skill units and produce YAML-ready metadata blocks for audit-ready workflows.
The best way to document trigger conditions is to polish the SKILL.md description during creation, ensuring the self-contained skill unit clearly describes when the LLM should activate the automation framework.
Your skill audit fails because the validation process checks that required resources like scripts, references, and assets directories are present alongside a valid SKILL.md file to ensure the skill is self-contained.
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