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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Multi-agent Orchestration
Frameworks and tools for coordinating multiple agents, teams, roles, swarms, or AI workforces.
4955total
4955filtered
277page
413pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Coordinate several agents around one outcome.
- Assign specialist roles and handoffs.
- Inspect launch packets before running a team.
Recommended trials and bundles
playbooks / skill
form-object-patterns skill by thibautbaissac/rails_ai_agents
This skill helps you implement robust Rails form objects to manage multi-model, wizard, and non-persisted forms with tests.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Foundry AI
Build, evaluate, and improve AI agents that deliver reliable outcomes, blending automation speed with human quality.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
framework-migration-legacy-modernize skill by xfstudio/skills
This skill guides gradual legacy modernization using the strangler fig pattern, coordinating specialized agents to minimize risk while delivering continuous
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
frontend-angular skill by duc01226/easyplatform
This skill helps you create or modify Angular 19 frontend code using platform patterns, base classes, and BEM driven templates.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
frontend-design-svelte skill by matteocervelli/llms
Create distinctive, production-grade Svelte/TypeScript frontends with exceptional design quality
MCPCLIA2A
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
frontend-hook skill by shaul1991/shaul-agents-plugin
This skill designs and implements React custom hooks, encapsulating state, managing side effects, and providing robust hook testing.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
frontend-implementation skill by shaul1991/shaul-agents-plugin
This skill orchestrates frontend-only implementation across components, state, API, and UI integration to accelerate delivery.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
frontend-state skill by shaul1991/shaul-agents-plugin
This skill designs and implements robust frontend state management using Context API, global state, and synchronization to improve app consistency and
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
frontend-tdd skill by shaul1991/shaul-agents-plugin
This skill guides frontend TDD by writing tests first and implementing the minimal code to pass, following red-green-refactor cycles.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
frontend-testing skill by nilecui/skillsbase
This skill helps you generate Vitest and React Testing Library tests for Dify frontend components, hooks, and utilities with recommended patterns.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Frontline
Craft AI Agents that delight customers, empower employees and automate manual work. No code or AI expertise required.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4955 matching candidates for Multi-agent Orchestration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.