~/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
236page
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
bitwarden skill by sebastiaanwouters/dotagents
Retrieves API keys, passwords, secrets from Bitwarden vault using bw CLI. Triggers on missing env variables, missing API keys, missing secrets, "secret not found", "env not set", or "use bw".
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bkit-rules skill by popup-studio-ai/bkit-claude-code
This skill enforces PDCA-driven coding standards and auto-triggers appropriate AI agents to streamline feature development and code quality.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
blueprint-research skill by majesticlabs-dev/majestic-marketplace
Research phase for blueprint workflow - toolbox resolution, lessons discovery, and parallel research agents
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bmad-master skill by aj-geddes/claude-code-bmad-skills
This skill orchestrates BMAD Method workflows, manages phases, and coordinates agents to streamline agile AI-driven development.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bnbot skill by openclaw/skills
This skill helps you control Twitter/X via the BNBOT extension, enabling scraping, posting, navigating, and analytics from your AI assistant.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bobagent-agdp skill by openclaw/skills
This skill enables issuing and managing ACP jobs via a CLI, discovering agents, executing tasks, and handling token and offerings on the marketplace.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bobagent-clawdefender skill by openclaw/skills
This skill provides security scanning and input sanitization for AI agents, detecting prompt injections and exfiltration risks across external data.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bobagent-n8n skill by openclaw/skills
This skill helps you manage n8n workflows via REST API, including listing, activating, triggering, and debugging executions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
bocha-search skill by openclaw/skills
This skill enables comprehensive web search via Bocha Search API, returning structured results with optional summaries for AI agents.
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.