By danielraffel
Generate and execute multi-agent team orchestrations from any natural language task description. Interactively configure prompts, execution modes (parallel coordination), Anthropic models, team sizes, approvals; run with dry-run, auto-execution, and customizable outputs.
npx claudepluginhub danielraffel/generous-corp-marketplace --plugin orchestrateOfficial marketplace for Claude Code plugins and Agent Skills (SKILL.md) you can use with OpenAI Codex and Claude Code.
juce-dev plugin).In Claude Code, run:
/plugin marketplace add danielraffel/generous-corp-marketplace
Then install plugins:
Worktree Manager:
/plugin install worktree-manager@generous-corp-marketplace
Chainer:
/plugin install chainer@generous-corp-marketplace
Prompt Repeater:
/plugin install prompt-repeater@generous-corp-marketplace
Orchestrate:
/plugin install orchestrate@generous-corp-marketplace
Design Partner:
/plugin install design-partner@generous-corp-marketplace
JUCE Dev:
/plugin install juce-dev@generous-corp-marketplace
Then restart Claude Code.
Codex scans for skills in repo or user locations under .agents/skills. Recommended options:
Example: install this repo's Codex skills user-wide via symlink:
git clone https://github.com/danielraffel/generous-corp-marketplace
cd generous-corp-marketplace
mkdir -p ~/.agents/skills
ln -s "$(pwd)/skills/codex/claude" ~/.agents/skills/claude
ln -s "$(pwd)/skills/codex/juce-visage" ~/.agents/skills/juce-visage
Usage in Codex:
/skills (or type $claude / $juce-visage) to select or invoke a skill.Claude Code loads skills from:
Example: symlink the Claude Code juce-visage skill into your personal Claude skills folder:
git clone https://github.com/danielraffel/generous-corp-marketplace
cd generous-corp-marketplace
mkdir -p ~/.claude/skills
ln -s "$(pwd)/skills/claude/juce-visage" ~/.claude/skills/juce-visage
Usage in Claude Code:
juce-dev to get the same skill bundled automatically.MIT License
Apply Google Research's prompt repetition technique to improve LLM performance on non-reasoning tasks
Multi-agent team orchestration for parallel task execution, research, and implementation
PROACTIVELY use this agent when complex multi-agent tasks begin, when agents seem stuck or overwhelmed, or when the team needs motivation and coordination. This agent serves as the elite performance coach for all other agents, ensuring they operate at their highest level while maintaining composure and excellence. Should be triggered automatically at the start of challenging projects or when detecting agent confusion. Examples:\n\n<example>\nContext: Starting a complex project requiring multiple agents\nuser: "We need to build a viral TikTok app in 2 weeks"\nassistant: "This is an ambitious goal that will require our A-team! Let me bring in the studio-coach to coordinate our agents and ensure everyone performs at their peak."\n<commentary>\nComplex projects benefit from having a coach to keep all agents aligned and motivated.\n</commentary>\n</example>\n\n<example>\nContext: When an agent seems stuck or is producing subpar results\nagent: "I'm having trouble identifying the right trends..."\nassistant: "Let me bring in the studio-coach to help refocus and elevate your approach."\n<commentary>\nAgents can get overwhelmed or lose focus - the coach helps them recenter and excel.\n</commentary>\n</example>\n\n<example>\nContext: Before launching a major sprint or initiative\nuser: "Tomorrow we start the 6-day sprint for our biggest project yet"\nassistant: "Time to rally the team! I'll have the studio-coach prepare everyone mentally and strategically for peak performance."\n<commentary>\nPre-sprint coaching ensures all agents start with clarity, confidence, and coordination.\n</commentary>\n</example>\n\n<example>\nContext: When celebrating wins or learning from failures\nuser: "Our app just hit #1 on the App Store!"\nassistant: "Incredible achievement! Let me bring in the studio-coach to celebrate with the team and capture what made this success possible."\n<commentary>\nThe coach helps institutionalize wins and extract learnings from both successes and failures.\n</commentary>\n</example>
Share bugs, ideas, or general feedback.
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
The team-architecture factory for Claude Code — a meta-skill that turns a domain description into an agent team and the skills they use, with six pre-defined team-architecture patterns (Pipeline, Fan-out/Fan-in, Expert Pool, Producer-Reviewer, Supervisor, Hierarchical Delegation). Claude Code용 팀 아키텍처 팩토리: 도메인 한 문장을 에이전트 팀과 스킬 세트로 변환하는 메타 스킬.
High-intelligence Claude Code copilot with deep code reasoning, evidence-driven planning, orchestration-first execution, model routing, context budgeting, CI/CD integration, enterprise security, plugin development, prompt engineering, performance profiling, agent teams, channels (event-driven autonomy with CI webhook, mobile approval relay, Discord bridge, and fakechat dev profile), interactive tutorials, LSP integration, security-hardened hook script library, MCP Prompts coverage, common workflow packs, runtime selection guide, computer-use patterns, checkpointing, scheduled-task blueprints, repo bootstrap scanner, hook policy engine (8 installable packs), layered memory deployment, role-based subagent packs (implementer, debugger, migration-lead, dependency-auditor, release-coordinator), 5 agent-team topology kits, autonomy operating mode (4 profiles + 3 gates), and a queryable 15-tool MCP documentation server with autonomy advisor.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claim