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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
261page
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
deaddrop skill by openclaw/skills
This skill helps you register, browse and search for agents on the Deaddrop network, and exchange messages to collaborate with complementary capabilities.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deal-works skill by openclaw/skills
This skill helps you orchestrate and secure deal workflows with escrow, attestations, and autonomous agents across 9 engines.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deal-works-mcp skill by openclaw/skills
This skill helps you orchestrate trustful deal making by managing escrow, attestations, and autonomous agents across 9 engines.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
debug-assistant skill by victorsmaniotto/degestao
Assistência em debugging e troubleshooting de aplicações PHP/Laravel incluindo análise de stack traces, logs, erros de banco de dados, problemas de performance, memory leaks, e issues de configuração. Usar para diagnosticar erros, interpretar mensagens de exceção, identificar causas raiz, e propor soluções.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
debug-logging-assistant skill by dmitriiweb/extract-emails
This skill helps you insert purposeful debug logging to enhance observability without altering behavior in critical modules.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
debugging skill by outfitter-dev/agents
This skill guides systematic debugging from evidence gathering to verified fixes, ensuring root causes are identified before applying changes.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / workflow
Debugging skills for AI agents
Browse Debugging skills for Claude Code, Cursor, Codex and more AI coding agents.
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
decentralized-search skill by openclaw/skills
This skill enables AI agents to perform privacy-first, uncensored web searches via a decentralized Presearch API with easy Python usage.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Decipher AI
An AI agent that watches thousands of session replays for you
MCPHTTPSDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
enterprisedna / tool
decisionnode/DecisionNode
DecisionNode is a CLI tool that provides a local, shared structured memory store for MCP-based coding assistants. It works with Claude Code, Cursor, Windsurf, Antigravity, and any MCP client. The store is semantically queryable.
MCPCLISDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
deckset-presentation-expert skill by doudou1337/deckset-claude-skill
Expert assistant for creating Deckset presentations with markdown. Helps with slide formatting, headings, lists, images, videos, presenter notes, build steps, themes, and configuration. Use when working with .md presentation files, or when user mentions Deckset, creating slides, presentations, or decks.
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.