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twi-jobworld
twi-jobworld には sancovp から収集した 15 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。
このリポジトリの skills
Creates a new TWI Jobworld instance — a fully autonomous AI company with agents that run themselves. Trigger with "instantiate jobworld", "create new company", "bootstrap ai company".
ALL agents use this skill to report task observations to the central HTTP server.
CEO bootstrap skill for AI Jobworld. Orchestrates departments, runs rounds, reads events, reviews tasks.
WHAT: Meta-skill for combinatorially mapping and building Claude Code systems from primitives WHEN: Building systems that combine skills, hooks, subagents, MCPs, plugins, teams, or CLAUDE.md
Create a new AI employee for TWI Jobworld — builds agent file, registers in jobworld, creates department skill
Interact with TWI Jobworld server API. Trigger with "jobworld api", "jobworld endpoints", "jobworld server".
WHAT: Pure Claude Code patterns - components and system-level architectures WHEN: Need to understand Claude Code components (skills, hooks, MCPs, subagents, plugins)
WHAT: CLAUDE.md — system prompt injection, trigger vs control WHEN: Understanding or writing CLAUDE.md files
WHAT: Claude Code hooks — 29 events, 5 handler types, metahook pattern WHEN: Understanding or creating hooks
WHAT: Claude Code MCPs — external tools with state, typed data, control systems WHEN: Understanding or building MCPs
WHAT: Claude Code plugins — bundling and distributing components WHEN: Understanding or creating plugins
WHAT: Native Claude Code skills — how they work, what they give/don't give you WHEN: Understanding or creating skills
WHAT: Claude Code slash commands — user-initiated entry points WHEN: Understanding or creating slash commands
WHAT: Claude Code subagents — isolated contexts, persistent memory, worktree isolation, GAN scoring WHEN: Understanding or creating subagents
WHAT: Agent teams — two patterns: Metacog Shell (peer messaging, self-improving) and World of Skillcraft (shared state, persistent agents) WHEN: Understanding or creating agent teams for parallel work, observation stacks, or multi-agent coordination