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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
7page
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
github / workflow
assafelovic/gpt-researcher
An autonomous agent that conducts deep research on any data using any LLM providers
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
blog-post skill by langchain-ai/deepagents
This skill helps you compose well-structured, SEO-friendly long-form blog posts with clear sections, code examples, and practical guidance.
MCPCLIHTTP
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
mcpservers / skill
arxiv-search
Search arXiv for preprints and academic papers by topic with abstract retrieval. Query-based search across physics, mathematics, computer science, biology, statistics, and related fields Configurable result limit (default 10 papers) with results sorted by relevance Returns title and abstract for each matching paper Requires the arxiv Python package; install...
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
qmd skill by tobi/qmd
This skill lets you quickly search local markdown knowledge bases and notes using QMD to find docs and answer questions.
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
social-media skill by langchain-ai/deepagents
This skill helps you craft engaging social media posts for LinkedIn and Twitter by guiding research, structure, and visuals.
MCPCLIHTTP
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
github / workflow
mastra-ai/mastra
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
notion-meeting-intelligence skill by openai/skills
This skill prepares tailored meeting materials by pulling Notion context and Codex research to draft agendas, pre-reads, and action-ready pages.
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
render-deploy skill by openai/skills
This skill helps you deploy, host, and publish apps to Render by generating render.yaml blueprints and providing deployment deeplinks.
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
sentry skill by openai/skills
This skill inspects Sentry issues and events, summarizes recent production errors, and fetches health data via the Sentry API using a read-only token.
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
yeet skill by openai/skills
This skill orchestrates staging, committing, pushing, and PR creation via gh in one fluent flow for Git workflows.
MCPCLIHTTP
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
playbooks / skill
security-ownership-map skill by openai/skills
This skill analyzes git history to map security ownership and bus factor, exporting actionable insights for risk-aware file ownership.
MCPCLIHTTP
- Fit
- 75 / 100
- Trust
- High traction
- Install
- MCP ready
Review links
mcpservers / skill
web-research
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research
MCPHTTPCLI
- Fit
- 75 / 100
- Trust
- High traction
- 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.