skills-curation-phase-1-session-candidate-intake
About
This skill processes accumulated skill candidates from session analysis to determine if new skills should be created or existing ones updated. It reads a candidates file, checks for existing skills, classifies gaps as shallow or deep, and flags stale skills for research. The processed entries are then cleared or marked from the candidates file.
Quick Install
Claude Code
Recommendednpx skills add vamseeachanta/workspace-hub -a claude-code/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/skills-curation-phase-1-session-candidate-intakeCopy and paste this command in Claude Code to install this skill
GitHub Repository
Related Skills
hive-mind-advanced
OtherThis skill enables queen-led multi-agent coordination with consensus mechanisms and persistent memory for complex collective intelligence tasks. Use it when you need sophisticated swarm coordination where a central queen agent orchestrates specialized workers through Byzantine consensus. It provides hierarchical architecture patterns for managing high-level objectives across distributed agent systems.
hive-mind-advanced
OtherThis skill enables queen-led multi-agent coordination with consensus mechanisms and persistent memory for complex distributed tasks. It's ideal for developers building sophisticated swarm systems requiring hierarchical orchestration and collective decision-making. Key features include Byzantine consensus, strategic queen coordination, and shared memory across specialized worker agents.
hive-mind-advanced
OtherThis skill implements a queen-led multi-agent coordination system with consensus mechanisms and persistent memory. Use it when you need to orchestrate sophisticated workflows across specialized AI agents for complex tasks. It provides hierarchical control, collective decision-making, and shared memory for advanced swarm intelligence applications.
hive-mind-advanced
OtherThis skill provides a queen-led multi-agent coordination system with consensus mechanisms and persistent memory for complex collective intelligence tasks. It enables hierarchical agent orchestration where strategic queens direct specialized workers through Byzantine consensus protocols. Use it when building sophisticated multi-agent systems requiring coordinated decision-making and shared memory.