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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
250page
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
cluster-agent-swarm-skills skill by openclaw/skills
This skill coordinates seven specialized agents to manage Kubernetes and OpenShift platform operations across orchestration, governance, and developer
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
coda-ai skill by openclaw/skills
This skill helps AI agents read and navigate Coda.io content by listing docs, listing pages, and reading page content in multiple formats.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / workflow
Code Review skills for AI agents
Browse Code Review skills for Claude Code, Cursor, Codex and more AI coding agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-antipatterns-analysis skill by laurigates/claude-plugins
This skill analyzes codebases for anti-patterns and quality issues across JavaScript, TypeScript, Python, Vue, and React using parallel agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-assistant skill by openclaw/skills
This skill analyzes, debugs, optimizes, and documents code, helping you ship faster by automating improvements and enriching your project with quality findings.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-clone-assistant skill by terrylica/cc-skills
This skill detects code clones using PMD CPD and Semgrep and guides targeted refactoring to reduce duplication.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-commentary-standards skill by amnadtaowsoam/cerebraskills
This skill helps you write effective code comments by explaining why decisions were made, improving clarity for future developers and AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-investigator skill by toilahuongg/shopify-agents-kit
This skill performs comprehensive codebase investigation by mapping features, then running parallel subagents to audit risks, dead code, and missing
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-quality skill by fusengine/agents
This skill validates code quality across languages by enforcing linters, SOLID principles, and architecture compliance with a six-phase workflow.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
code-review skill by outfitter-dev/agents
This skill helps you conduct structured pre-commit code reviews with checklist-driven findings and clear remediation guidance.
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.