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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
93page
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
env-secrets-manager skill by patricio0312rev/skills
Manages environment variables and secrets securely with encryption, rotation, and provider integration. Use when users request "secrets management", "environment variables", "API keys", "credentials storage", or "secret rotation".
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
erc-8004 skill by bankrbot/skills
This skill guides you through registering AI agents on Ethereum mainnet using ERC-8004, including on-chain identity, IPFS uploads, and profile updates.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
erc-8004 skill by openclaw/skills
This skill helps you register, query, and manage on-chain AI agent reputations with ERC-8004 across registries and trust models.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
erc-8004 skill by tenequm/claude-plugins
This skill helps you discover, register, and evaluate AI agents on-chain using ERC-8004, improving trust and interoperability across networks.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
erc-800claw skill by openclaw/skills
This skill helps you register, search, and rate autonomous on-chain agents using ERC-8004, improving identity trust and reputation.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
erc8004-agent skill by openclaw/skills
This skill helps register and authenticate AI agents on ERC-8004 by managing wallets, onchain identity, and SIWA sign-ins.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
escrow-agent skill by openclaw/skills
This skill enables autonomous agent payments with trustless on-chain escrow on Solana and Base, locking funds until verified outcomes are reached.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ethskills skill by openclaw/skills
This skill fetches real-time Ethereum development docs to keep AI agents up to date on gas, patterns, Layer 2s, and security.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evalanche skill by openclaw/skills
This skill helps you manage autonomous Avalanche wallets, perform cross-chain actions, and verify agent identity with ERC-8004 on-chain reputation.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
event-tracking skill by clix-so/skills
This skill helps you design and implement Clix event tracking with consistent naming, safe schemas, and campaign-ready validation.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evernote-rate-limits skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you manage Evernote API rate limits by implementing retry, queuing, and batching with intelligent throttling.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evernote-sdk-patterns skill by jeremylongshore/claude-code-plugins-plus-skills
This skill provides production-ready Evernote SDK patterns for search, pagination, attachments, tagging, notebooks, and robust error handling to optimize
MCPHTTPCLISDK
- Fit
- 66 / 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.