Identify and manage installed skills, deciding reuse or acquisition across workflows.
npx skills add https://github.com/Yaron9/MetaMe --skill skill-manager-yaron9
Please help me install this Agent Skill. Skill: skill-manager Source: https://github.com/Yaron9/MetaMe/tree/main/skills/skill-manager Command: npx skills add https://github.com/Yaron9/MetaMe --skill skill-manager-yaron9
The Skill Manager is a central coordinator for all installed skills. It detects capability gaps, decides whether to reuse existing skills or fetch new ones, and evolves the skill library automatically after task completion. It triggers on failures, missing tools, or user prompts like "find skills", "manage skills", or "update skills".
Instruct the Skill Manager to review all installed skills and decide whether to invoke existing capabilities or acquire new ones, then evolve the skill library after task completion.
High-intent search queries and answers about installing and using this skill.
To manage installed AI skills, use a central coordinator that surveys existing capabilities, parses SKILL.md frontmatter, and automatically decides whether to reuse a skill, fetch a new one, or evolve the skill library after task completion.
Automating AI skill selection involves triggering a coordinator on failures or missing tools, which then evaluates the skill library and chooses the best path—calling existing skills or acquiring new ones—without manual intervention.
Automatic skill library evolution works by coordinating with supporting subsystems to fetch, wrap, or create skills, applying guardrails and auditability to ensure safe, trackable updates to the toolkit after task completion.
Yes, you can integrate GitHub packaging and zero-to-skill creation by coordinating with the central skill manager, which supports end-to-end workflows for researching, packaging, and integrating new capabilities with guardrails.
Yes, YAML is required as a dependency to parse SKILL.md frontmatter, enabling the system to identify and manage all installed skills and coordinate automatic selection between existing and new capabilities.
You should avoid automated skill management when tasks require strict manual oversight or when operating in isolated environments without marketplace or GitHub access, as the coordinator relies on subsystem integration to fetch and evolve skills.
mkgs-databricks-demosLocate root SKILL.md files and extract YAML frontmatter metadata into YAML documents.
EthanAlgoXAnalyze runtime history to identify failures and propose targeted agent evolutions.
FernanSuozaIdentify missing agent capabilities and propose local or external package options.
NarakCODESearch, install, update, and manage agent skills via the Skills CLI.
