~/agentstafferAgentStaffer
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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
MCP & Tool Integration
MCP servers, tool-use layers, SDK adapters, and integrations that connect agents to external tools.
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Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Connect agents to tools, MCP servers, SDKs, or external APIs.
- Review install manifests and permissions.
- Confirm client compatibility before local setup.
Recommended trials and bundles
playbooks / skill
agent-architect skill by igorwarzocha/opencode-workflows
Create and refine OpenCode agents via guided Q&A. Use proactively for agent creation, performance improvement, or configuration design. Examples: - user: "Create an agent for code reviews" → ask about scope, permissions, tools, model preferences, generate AGENTS.md frontmatter - user: "My agent ignores context" → analyze description clarity, allowed-tools,...
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-architecture-guide skill by openclaw/skills
This skill implements battle-tested agent architecture patterns to improve memory safety, scheduling, and robust skill integration for OpenClaw agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
agent-auth-cli
Use the Agent Auth CLI (auth-agent) to discover providers, connect agents, manage capabilities, and execute operations. Use when the user wants to interact…
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-autonomy skill by openclaw/skills
This skill enables autonomous agents to persist memory, maintain cross-session identity, coordinate networks, and learn with self-improvement logs, boosting
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-avengers skill by openclaw/skills
This skill orchestrates complex tasks by automatically splitting work, spawning specialized agents, executing in parallel, and integrating results for a final
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-bom skill by openclaw/skills
This skill scans AI agents and MCP servers for CVEs, generates SBOMs, maps blast radius, and enforces security policies locally.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-books skill by openclaw/skills
This skill tracks AI inference costs, records income, and manages wallets to assess financial health and sustainability for agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser skill by codervisor/lean-spec
This skill automates browser tasks by navigating, interacting, and extracting data to streamline web workflows for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser skill by dmmulroy/.dotfiles
This skill enables AI agents to automate web tasks using a Playwright-based browser, facilitating browsing, form filling, scraping, and interactions.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser skill by partme-ai/full-stack-skills
This skill automates browser tasks via the agent-browser CLI, enabling AI agents to interact with web pages reliably using refs, semantic locators, and
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser skill by sebastiaanwouters/dotagents
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use only when explicitly invoked with "use browser agent" or "use agent browser".
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
agent-browser-0.2.0 skill by z980944038-dev/openclawwdl
This skill enables AI agents to automate browser tasks efficiently by navigating, interacting, and extracting data with a fast headless runtime.
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
4993 matching candidates for MCP & Tool Integration. 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.