~/agentstafferAgentStaffer
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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
78page
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
configure-sentry skill by laurigates/claude-plugins
This skill checks and configures Sentry error tracking to align with project standards and environment-based DSNs.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
confluence-cli skill by dcjanus/prompts
This skill helps you query, retrieve, and read Confluence pages and spaces via a Python CLI, with JSON output.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
confluence-docs skill by a5c-ai/babysitter
This skill synchronizes and migrates documentation to Confluence by automating page creation, updates, and format conversions across spaces.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
connect skill by codingheader/myskills
This skill lets Claude perform real actions across apps like sending emails, creating issues, posting messages, and updating data.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
connect-to-nango-mcp skill by contextware/skills
This skill connects your agent to external platforms via Nango MCP to perform tasks like listing contacts or querying records.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Contentrain MCP Server
Extract, govern, and ship structured content from your codebase. Browse Contentrain MCP Server for Claude, Cursor, VS Code, and other AI agents.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
context-orchestrator skill by zpankz/mcp-skillset
This skill orchestrates multi-source context retrieval from limitless, research, and pieces to inform decisions beyond the current codebase.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
contextual-review skill by flowglad/flowglad
This skill performs comprehensive code reviews for quality, security, and standards adherence across diffs, plans, and architecture decisions.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
contract-testing-pact skill by amnadtaowsoam/cerebraskills
This skill helps you implement consumer-driven contract testing with Pact in Python, generating and verifying pact files and ensuring provider compatibility.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
conversations skill by letta-ai/skills
This skill guides you using the Letta Conversations API to manage isolated conversation threads on a single agent for multi-user chat and testing.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
convert-web-app skill by tldraw/tldraw
This skill helps you convert a web app into a hybrid MCP App, enabling seamless standalone and MCP-host rendering from a single codebase.
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.