with one click
with one click
| name | create-prompt |
| description | Create a reusable prompt file (.prompt.md) for a common task. |
| argument-hint | What task should this prompt help with? |
| disable-model-invocation | true |
Related skill: agent-customization. Load and follow prompts.md for template and principles.
Guide the user to create a .prompt.md.
First, review the conversation history. If the user has been working on a repeatable task pattern (e.g., explaining code, generating tests, refactoring), generalize that into a reusable prompt. Extract:
If no clear pattern emerges from the conversation, clarify:
Remember to follow the agent-customization guidelines to create highly effective prompts.
Launch Code OSS (VS Code from sources) into an isolated throwaway profile with unique debug ports so you can drive it with @playwright/cli AND attach a Node debugger via dap-cli in the same session. Use when working on VS Code itself and you want to interact with the running workbench, automate chat or UI flows, test UI features, take screenshots, set breakpoints in the renderer / extension host / main process, or combine UI driving with debugging.
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting session data.
Find and read logs from Code OSS dev builds. Use when: finding logs, reading log files, debugging Code OSS, checking renderer logs, extension host logs, agent host logs, main process logs, investigating errors in dev builds.
Agents window architecture — covers the agents-first app, layering, folder structure, chat widget, menus, contributions, entry points, and development guidelines. Use when implementing features or fixing issues in the Agents window.
Use when working on the Chat Customizations editor — the management UI for agents, skills, instructions, hooks, prompts, MCP servers, and plugins.
Investigate unexpected chat agent behavior by analyzing direct debug logs in JSONL files. Use when users ask why something happened, why a request was slow, why tools or subagents were used or skipped, or why instructions/skills/agents did not load.