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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
280page
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
git-commits skill by daleseo/git-skills
Best practices for creating high-quality Git commits. Covers commit message conventions (Conventional Commits), atomic commits, staging strategies, and when to amend vs create new commits. Helps AI agents generate clean, meaningful commit history.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
git-leak-recovery skill by letta-ai/skills
This skill guides recovering or cleaning secrets from git history and verifies complete removal to prevent future exposure.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
git-master skill by sebastiaanwouters/dotagents
Git expert for atomic commits, rebase/squash, and history search (blame, bisect, log -S). Triggers on: commit, rebase, squash, who wrote, when was X added, find the commit that.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
git-workflow-skills skill by kimasplund/claude_cognitive_reasoning
Provides standardized Git workflows, commit message conventions, branching strategies, and collaboration patterns for all agents performing Git operations. Use when creating commits, choosing branching strategies, creating PRs, performing git operations (merge vs rebase), or handling git collaboration workflows.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gitclassic skill by openclaw/skills
This skill enables fast, read-only browsing of public GitHub repositories via a server-rendered interface, optimized for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
aiagentsdirectory / agent
GitHub Copilot
AI coding agent that helps developers write code faster and smarter.
CLIMCPSDK
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
github-research-assistant skill by openclaw/skills
This skill helps you analyze GitHub repositories across basic info, purpose, tech stack, usage, and architecture to reveal actionable insights.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
github-trending skill by hoodini/ai-agents-skills
This skill fetches and presents GitHub trending repositories and developers to help you discover popular projects and track trends.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
GitLab
Ship more secure software faster with AI throughout the entire software development lifecycle
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.