By adaline
Skills for Adaline platform integration: logging traces and spans, managing prompts, datasets, evaluators, evaluations, deployments, and AI providers via API and SDKs.
npx claudepluginhub adaline/skills --plugin skillsCreate and manage evaluation datasets in Adaline. Use when building test cases for prompt evaluation, importing CSV data, managing dataset columns and rows, or setting up dynamic columns.
Fetch deployed prompts from Adaline to use in your AI applications. Use when integrating prompt deployments, managing environments, setting up CI/CD for prompts, or implementing rollback procedures.
Run and manage evaluations in Adaline to test prompt quality at scale. Use when running batch evaluations, checking evaluation status, analyzing results, or setting up continuous evaluation pipelines.
Create and manage evaluators in Adaline to score prompt outputs. Use when setting up LLM-as-a-judge, JavaScript, text-matcher, cost, latency, or response-length evaluators for quality assessment.
High-level guide for integrating your AI application with Adaline. Use when starting a new Adaline integration, choosing between API/SDK approaches, or planning which Adaline features to adopt.
Send traces and spans to Adaline for complete AI agent observability. Use when instrumenting LLM calls, tool executions, retrieval steps, or any operation in your AI application for monitoring.
Create and manage prompts in Adaline via the API. Use when programmatically creating prompts, updating prompt drafts, listing prompts in a project, or managing prompt versions.
List and manage AI providers and models configured in Adaline. Use when discovering available LLM providers, listing models, or checking provider configuration.
Skills that guide AI coding agents to integrate with the Adaline platform — send traces, manage prompts, run evaluations, fetch deployments, and more. Compatible with Cursor, Claude Code, Codex, Windsurf, and 40+ other agents.
npx skills add adaline/skills
Install a single skill:
npx skills add adaline/skills --skill adaline-logs
Preview available skills:
npx skills add adaline/skills --list
Install for specific agents:
npx skills add adaline/skills -a claude-code -a cursor -y
The CLI auto-detects installed agents and symlinks skills into the correct directory (.claude/skills/, .cursor/skills/, etc.).
/plugin marketplace add adaline/skills
/plugin install skills
Clone the repo and copy skill folders into your agent's skills directory:
git clone https://github.com/adaline/skills.git
Then copy the skills you need:
.claude/skills/.cursor/skills/.codex/skills/npx skills check # check for updates
npx skills update # update all installed skills
When you have your Adaline credentials, set these environment variables:
export ADALINE_API_KEY=your-api-key # from Settings > API Keys in the dashboard
export ADALINE_PROJECT_ID=your-project-id # from the project sidebar in the dashboard
No credentials yet? Skills use placeholder values by default — you can start integrating now and replace them with real values once your account is ready. Sign up at https://app.adaline.ai/sign-up
| Skill | What it does |
|---|---|
| adaline-integration | High-level integration guide. Start here — helps you choose the right skills and approach (API, TypeScript SDK, Python SDK) for your setup. |
| adaline-logs | Send traces and spans to Adaline for AI agent observability. Covers REST API, TypeScript SDK, and Python SDK instrumentation. |
| adaline-deployments | Fetch deployed prompts at runtime. Manage environments, webhooks, rollback, and CI/CD integration. |
| adaline-prompts | Create and manage prompts programmatically via the REST API. |
| adaline-datasets | Build and manage evaluation datasets — columns, rows, CSV import, dynamic columns. |
| adaline-evaluators | Create evaluators: LLM-as-a-judge, JavaScript, text-matcher, cost, latency, response-length. |
| adaline-evaluations | Run evaluations at scale, check status, analyze per-row results, cancel runs. |
| adaline-providers | List configured AI providers (OpenAI, Anthropic, Google, etc.) and available models. |
Use adaline-integration first — it helps you choose which skills to adopt based on your runtime, codebase, and goals.
Recommended order:
adaline-logs — get observability firstadaline-deployments — manage prompts in your appadaline-datasets + adaline-evaluators + adaline-evaluations — quality gatesadaline-providers — discover available models| Approach | Best for | Skills that support it |
|---|---|---|
TypeScript SDK (@adaline/client) | Node.js/TypeScript apps | adaline-logs, adaline-deployments |
Python SDK (adaline-client) | Python apps | adaline-logs, adaline-deployments |
| REST API | Any language, serverless | All skills |
| Adaline Proxy (zero-code) | Quick start, simple apps | adaline-logs (see SKILL.md) |
skills/
adaline-integration/ # Master integration guide
adaline-logs/ # Traces and spans
adaline-deployments/ # Deployment fetching
adaline-prompts/ # Prompt management
adaline-datasets/ # Dataset management
adaline-evaluators/ # Evaluator creation
adaline-evaluations/ # Running evaluations
adaline-providers/ # Provider/model discovery
scripts/ # CI validation
.claude-plugin/ # Plugin config for distribution
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Automates browser interactions for web testing, form filling, screenshots, and data extraction
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research