Menü
SkillsMP hat 22 Skills aus Prism-Shadow/penguin-harness gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 22 von 22 gesammelten Skills angezeigt.
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…
Quellsprache: Englisch
Use 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…
Quellsprache: Englisch
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.
Quellsprache: Englisch
Call model APIs through @prismshadow/agenthub — streaming text generation, image generation, speech synthesis, embeddings and the supported-model registry with one client.
Quellsprache: Englisch
Use when standing PenguinHarness up to try a change by hand — launching the Web App, the desktop shell, the landing page or the docs site to click through it, screenshot it, or reproduce a report. Covers the four dev entry points and their ports, which data…
Quellsprache: Englisch
Deploy and serve local models with Ollama — pull and run them, then expose the OpenAI-compatible endpoint to apps and agents.
Quellsprache: Englisch
Deploy and serve LLMs with vLLM behind an OpenAI-compatible endpoint, with tool calling enabled for agent workloads.
Quellsprache: Englisch
Initialize an Agent's settings from a user requirement by writing AGENTS.md, setting identity metadata, and installing only needed Skills.
Quellsprache: Englisch
Use when changing the PenguinHarness Web App (`packages/web`) — adding or restyling any UI, picking a status colour, adding an icon, laying out a row or a form field, writing user-facing copy, or building a popup. Covers the semantic tone tokens, the icon…
Quellsprache: Englisch
Run Claude Code on a remote host over SSH — a persistent expect-driven login session, headless claude -p with the stdin fix, the interactive TUI inside a remote tmux driven by send-keys/capture-pane (one keystroke at a time, capture-verified; relayed user…
Quellsprache: Englisch
Rewrite or edit prose in any language so it reads like edited human writing in the register of books, newspapers and encyclopedias rather than default AI output. A small drafting core — vary every pattern, build density from anchored facts in whole grammar,…
Quellsprache: Englisch
Install skills from external ecosystems into this agent's agent_state/skills/ — resolve Claude Code plugin marketplaces, the Codex plugin repo, skills.sh registry names, GitHub repos, or local folders to their skill directories, review every file, and…
Quellsprache: Englisch
Run one specified Test Agent on one specified Benchmark Case exactly once, privately score that execution, and return one protocol result.
Quellsprache: Englisch
Improve an Agent State through versioned scores and score-linked Traces from a frozen Benchmark.
Quellsprache: Englisch
Design and calibrate a multi-Case capability Benchmark and establish a traceable Formal Baseline.
Quellsprache: Englisch
Complete data-analysis tasks with bounded inspection, correct data semantics, native artifact handling, complete delivery, and risk-based verification.
Quellsprache: Englisch
Penguin visual language for generated web pages and app UIs — GitHub-style simplicity with a single blue accent, light and pure-black dark themes, design tokens, component and chat-interface recipes, plus an opt-in warm paper editorial theme.
Quellsprache: Englisch
Manage model API keys, default models and per-agent vault secrets with the penguin CLI.
Quellsprache: Englisch
Create and edit Bento presentations — self-contained .bento.html decks whose document is JSON. Use whenever the user wants a slide deck or presentation: from scratch, from source material, or by improving an existing file.
Quellsprache: Englisch
Fine-tune LLMs with LlamaFactory — register datasets, train via YAML configs, merge LoRA adapters and serve the result.
Quellsprache: Englisch
Search the web and scrape pages into clean markdown with the Firecrawl API — query-based discovery, single-URL extraction including public PDFs, driven by curl with a vault-stored API key.
Quellsprache: Englisch
Complete software-engineering tasks — investigate and review code, implement bug fixes, features and refactors with minimal scope, validate changes, and report verified outcomes.
Quellsprache: Englisch