~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
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
180page
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
telnyx-account-management-ruby skill by openclaw/skills
This skill helps you manage Telnyx sub-accounts in Ruby with practical SDK examples for creating, retrieving, updating, enabling, and disabling accounts.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
telnyx-account-python skill by openclaw/skills
This skill helps you manage Telnyx account balance, invoices, and webhooks using Python SDK examples for quick integration.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
telnyx-account-ruby skill by openclaw/skills
This skill helps you manage Telnyx account actions with Ruby by providing example usage for balance, invoices, audit logs, detail records, and webhooks.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
telnyx-ai-assistants-go skill by openclaw/skills
This skill provides Go SDK examples to create and manage Telnyx AI Assistants with custom personalities and knowledge bases.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
telnyx-ai-assistants-java skill by openclaw/skills
This skill provides Java SDK examples to create, manage, and chat with Telnyx AI assistants, enabling quick integration and testing.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
telnyx-ai-assistants-javascript skill by openclaw/skills
This skill provides JavaScript SDK usage examples to create, manage, and test Telnyx AI assistants with customizable personalities and integrations.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
telnyx-ai-assistants-python skill by openclaw/skills
This skill helps you create and manage Telnyx AI assistants with Python, using SDK examples to build chat, scheduling, and integrations.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
telnyx-ai-assistants-ruby skill by openclaw/skills
This skill helps you manage Telnyx AI Assistants in Ruby with examples for creating, updating, and testing assistants and integrations.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
telnyx-ai-inference-javascript skill by openclaw/skills
This skill helps you integrate Telnyx AI inference and embeddings in JavaScript to build call insights, summaries, and analytics.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
telnyx-ai-inference-python skill by openclaw/skills
This skill helps you integrate Telnyx AI inference and embeddings in Python, enabling call insights, summaries, and analytics with ready-to-use code samples.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
telnyx-ai-inference-ruby skill by openclaw/skills
This skill enables Ruby developers to access Telnyx AI inference, embeddings, and analytics with ready-made SDK examples for call insights.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
telnyx-messaging-profiles-go skill by openclaw/skills
This skill helps you manage Telnyx messaging profiles in Go by showing creation, retrieval, updates, and related resources.
MCPHTTPCLISDK
- Fit
- 66 / 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.