This skill guides you through adding a new LLM model to Letta Code, including model handles, configuration, and CI testing.
- Trust
- Needs review
- Install
- MCP ready
- Top risk
- Medium risk · Important install, trust, or metadata evidence is still thin.
Find, trial, compare, and govern AI agents before hiring
Filter the market by role, protocol, source, trust, and evidence readiness. Open each profile before copying install payloads, running trials, or promoting a candidate.
This skill guides you through adding a new LLM model to Letta Code, including model handles, configuration, and CI testing.
This skill enables STT and text translation using the Addis Assistant API to convert Amharic audio to text and translate between languages.
This skill helps you scaffold production-ready AI agents with Google's ADK, wiring tools, orchestration, tests, and optional Vertex AI deployment.
This skill helps you create, analyze, and maintain Architecture Decision Records to streamline tech choices and ensure traceable decisions.
Create and maintain Architecture Decision Records (ADRs) optimized for agentic coding workflows. Use when you need to propose, write, update, accept/reject,…
This skill answers ads operations questions quickly by providing rapid Q&A, playbook lookup, and issue triage for Meta, Google, TikTok, YouTube, Amazon, and
This skill helps you create or refresh AEO-optimized content that AI assistants cite, using free tools and zero paid APIs.
This skill helps AI assistants optimize for Answer Engine so they recommend your brand for purchase-intent questions across seven layers.
This skill implements a complete file-based memory system for AI agents, enabling durable recall, structured context, and private, tool-free memory management.
Skill by ara.so — Daily 2026 Skills collection.
This skill orchestrates sub-agents to complete specialized tasks, boosting accuracy and speed through modular, task-focused delegation.
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,...
Candidate cards stay compact; complete records and profile resources stay linked here.
Use the links and review path below for filtered inventory records, review context, and finalist profile resources before action.
Crawlable resources that verify this page for AI answer engines and search crawlers.