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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
234page
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
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
backend-implementation skill by shaul1991/shaul-agents-plugin
This skill orchestrates backend implementation workflow from API design to deployment, delivering structured artifacts and reliable, runnable services.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
backend-kotlin skill by shaul1991/shaul-agents-plugin
This skill helps you develop Kotlin-based backends using Spring Boot, Ktor, coroutines, and Exposed ORM with best practices.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
backend-reviewer skill by shaul1991/shaul-agents-plugin
This skill reviews backend code for quality, correctness, and security, offering actionable feedback and guidelines aligned with NestJS, TypeScript, and
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
backend-tdd skill by shaul1991/shaul-agents-plugin
This skill helps you implement backend TDD with red-green-refactor cycles in Node.js/NestJS, driving test-first development and reliable APIs.
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
backlog-md skill by nickcrew/claude-cortex
This skill helps agents manage backlog tasks with structured filing, prioritization, and progress tracking using Backlog.md CLI.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bagman skill by openclaw/skills
This skill securely manages secrets and session keys for AI agents, preventing leakage and enabling safe, auditable wallet and API access.
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
bags skill by openclaw/skills
This skill helps you manage Solana token launches, claim fees, and collaborate with agents or humans through Bags platform.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bangai-recruit skill by openclaw/skills
This skill helps you manage Bang.AI recruitment tasks by viewing agents, filtering candidates, approving or rejecting applicants, and creating new agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
basal-ganglia-memory skill by openclaw/skills
This skill helps AI agents form automatic preferences and procedural memory by tracking habits, rewarding effective patterns, and refining workflows.
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.