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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Models & Inference
Model packages, inference runtimes, LLM serving, multimodal models, and AI model tooling.
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23filtered
2page
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Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Evaluate model serving, inference runtimes, and model tooling.
- Compare local versus hosted setup paths.
- Run benchmark or capability trials before adoption.
Recommended trials and bundles
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
google-gemini-embeddings skill by jezweb/claude-skills
This skill enables fast, accurate semantic search and RAG workflows by generating Gemini embeddings and guiding batch, normalization, and error handling.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
livekit skill by openclaw/skills
This skill helps you build production voice agents with LiveKit, enabling STT-LLM-TTS pipelines, WebRTC, and deployment options.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / skill
m365-agents-ts
Build enterprise agents for Microsoft 365, Teams, and Copilot Studio using the Microsoft 365 Agents SDK with Express hosting, AgentApplication routing, streaming responses, and Copilot Studio client integrations.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
model-selection skill by melodic-software/claude-code-plugins
Choose appropriate model for custom agent tasks. Use when selecting between Haiku, Sonnet, and Opus for agents, optimizing cost vs quality tradeoffs, or matching model capability to task complexity.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
pica-openai-agents skill by picahq/skills
This skill guides integrating PICA MCP with the OpenAI Agents SDK to enable seamless tool discovery and execution.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
urdf-sdf-model skill by a5c-ai/babysitter
This skill generates and validates URDF and SDF robot models, computes inertial properties, and configures joints, sensors, and macros for modular design.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
remoteopenclaw / skill
langgraph-cli
INVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.
CLIMCP
- Fit
- 64 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
letta-configuration skill by letta-ai/skills
This skill helps you configure model handles, settings, and provider setups for Letta agents and servers, improving deployment flexibility and control.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
github / skill
didilili/ai-agents-from-zero
A structured AI Agent crash course with a complete learning path, practical projects, interview prep, LangChain/LangGraph/Coze/Dify/MCP/skills/RAG coverage, deployment, and fine-tuning guidance.
MCP
- Fit
- 60 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
agensi / skill
Multi Agent Orchestration
Build production multi-agent systems. 12 patterns, 8 anti-patterns, debugging workflow, cost control. LangGraph + AutoGen + CrewAI.
- Fit
- 44 / 100
- Trust
- Verified source
- Install
- Source guide
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
23 matching candidates for Models & Inference. 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.