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Your local prompt library — fast, offline, tray-ready.
Features · Screenshots · Install & Run · Docs
PromptBoard is a fast desktop utility and Windows tray application for reusable LLM building blocks: prompts, skills, workflows, roles, and agents. Unlike larger prompt managers, the focus is not on versioning or complex board systems, but on rapid access: open, filter, copy, edit directly, and materialize as .md files when needed. Your prompt libraries stay offline, searchable, and copy-ready without requiring a cloud account or external API connections.
Phase: public release (v1.1.1), store and platform hardening active in local development
Code: PySide6 desktop application with 68/68 passing pytest tests
CI: PromptBoard tests running Windows Pytest and macOS/Linux source smoke checks
Repository: file-bricks/promptboard
The local README preview and the four store views are generated directly from the live UI state.
These store screenshots can be reproducibly regenerated via _tools/generate_store_screenshots.py.
PromptBoard serves as a compact tray tool for managing local knowledge blocks:
- Prompts
- Skills
- Workflows
- Roles
- Agents
Every entry is directly editable, sortable by type and name, and copyable to the clipboard with a single click. A right-click option lets you materialize an entry as a clean Markdown file (.md) to a configured location (defaulting to the Desktop). The exported file is content-focused: H1 header, compact metadata block, followed by the actual prompt text.
Global hotkeys allow you to show/hide the tray window and quickly copy the last used entry.
- Lighter than ProfiPrompt: No large version history or heavy board system at the core.
- More Robust than AutoPrompter: No fragile keyboard or daemon hook logic.
- More Private than Cloud Tools: Purely offline, no account sync, external APIs, or telemetry.
| For... | Read... |
|---|---|
| First Session | START.md |
| Current State | STATE.md |
| Product Vision | KONZEPT.md |
| Feature Overview | Feature_Analyse_PromptBoard.md |
| Architecture | ARCHITECTURE.md |
| Glossary | GLOSSARY.md |
| Agent Guidelines | AGENTS.md and CLAUDE.md |
The next primary focus is completing the Store-P1 path: entering real Partner Center values and documenting the elevated WACK run against releases/PromptBoard.msix. The macOS/Linux source smoke tests are now integrated into the project and CI pipeline.
python -m pip install -e ".[dev]"
python src\promptboard.pyUnder Windows, you can alternatively start the app by double-clicking start.bat.