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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
253page
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
commit-detection skill by fusengine/agents
This skill detects the optimal commit type from git changes to streamline messaging and versioning.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
common-appsec-patterns skill by transilienceai/communitytools
This skill coordinates specialized agents to identify and validate XSS, injection, CSRF, and other web vulnerabilities across modern apps.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
compatibility-testing skill by proffesor-for-testing/agentic-qe
This skill helps you validate cross-browser and cross-device compatibility by orchestrating parallel tests, visual diffs, and cloud coverage.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
compliance-testing skill by proffesor-for-testing/agentic-qe
This skill helps verify regulatory compliance across GDPR, HIPAA, PCI-DSS, and SOC2, generating audit-ready evidence and actionable test plans.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
component skill by zpankz/mcp-skillset
This skill generates Claude Code configuration components with valid YAML and coherent cross references for commands, subagents, skills, and styles.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
component-composition skill by fusengine/agents
This skill helps you design reusable component APIs and patterns such as children, slots, and render props to improve UI composition.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
compound skill by sebastiaanwouters/dotagents
Knowledge retrieval, storage, and design system management for iterative agent loops. Use 'compound retrieve' at start, 'compound store' at end, 'compound design' for UI consistency. Prevents duplicates, manages size, keeps docs organized.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / tool
Computer Use MCP Server - spencerkinney/computer-use-mcp
Controls virtual computers via MCP to manage cloud desktops for Computer Use Agents
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
computer-use skill by openclaw/skills
This skill enables headless desktop control on Linux servers by automating an XFCE/Xvfb environment with noVNC and xdotool.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
computer-use-1-0-1 skill by openclaw/skills
This skill enables headless GUI control on Linux servers by creating a virtual display and automating mouse, keyboard, and screenshots.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
computer-use-agents skill by omer-metin/skills-for-antigravity
This skill helps you build AI agents that control computers and GUI elements securely and effectively across vision-based tasks.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
computer-use-agents skill by xfstudio/skills
This skill helps you build safe, vision-based desktop automation agents that perceive screens, reason about actions, and execute actions within sandboxed
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.