penguin-sdk
FeaturedUse whenever the user wants to build an agent application — their own program with an embedded agent, such as an AI app, an agentic app or a RAG app. This is writing application code on the Penguin Harness SDK, not configuring an Agent State inside PenguinHarness. Covers self-contained projects, the createSession/run streaming loop with thinking and image messages, wiring the user's existing tools in as CLI commands, and a complete RAG recipe that ingests documents into a knowledge base and answers with citations behind a web UI.
Install
Quality Score: 93/100
Skill Content
Details
- Author
- Prism-Shadow
- Repository
- Prism-Shadow/penguin-harness
- Created
- 1 months ago
- Last Updated
- today
- Language
- TypeScript
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
penguin-orchestration
Drive PenguinHarness itself from a shell — list and create agents and sessions, send and steer messages mid-flight, and query costs and scheduled tasks via the penguin CLI over the local server.
penguin-harness-dev
Use when developing PenguinHarness itself — changing packages/{core,server,web,cli,desktop,landing,docs,skills}, the built-in model catalog, the installers or the release workflow; writing or auditing changelog entries; writing a blog post or capturing release screenshots; running the test suite here or, when asked, on another machine; deciding what to do about data already on disk; or auditing prose that reads like a leaked authoring session. Covers the two-repo symlink layout, the CI-parity verification chain, the record-and-ship contract, where blog media is hosted, and the seams that are intentional.
openai-agents-sdk
This skill builds AI agents with the official OpenAI Agents SDK for Python (`pip install openai-agents`), from hello world to professional production systems. Use whenever the user is writing agent code with the `agents` package — Agent, Runner.run/run_sync/run_streamed, @tool / function_tool, handoffs, agents-as-tools, input/output/tool guardrails, structured outputs (output_type), sessions & memory, RunConfig, ModelSettings, tracing, MCP servers, or multi-agent orchestration. Also use for questions about how the SDK works, its current API surface, or converting an idea into an agentic app. Provides the correct, docs-grounded API (no guessed imports).