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MCP & Tool Integration

MCP servers, tool-use layers, SDK adapters, and integrations that connect agents to external tools.

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playbooks / skill model_finetuning skill by vuralserhat86/antigravity-agentic-skills

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

MCPHTTPCLI
Fit
61 / 100
Trust
Needs review
Install
MCP ready
Review links
playbooks / skill moldable skill by moldable-ai/skills

Complete guide for building Moldable apps. Use this skill when creating new apps with scaffoldApp, modifying existing apps, implementing workspace-aware storage, integrating with the Moldable desktop via postMessage APIs (moldable:show-in-folder, moldable:set-chat-input, moldable:set-chat-instructions, moldable:save-file), configuring workspaces, managing s...

MCPHTTPCLI
Fit
61 / 100
Trust
Needs review
Install
MCP ready
Review links
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4993 matching candidates for MCP & Tool Integration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.

Role category review path
  1. 01Site contextShared review rules
  2. 02Role categoryOpen the focused review record
  3. 03Agent inventoryBrowse the matching inventory
  4. 04Profile resourcesEvidence, setup, trust, trial, and history files

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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.