openspec-apply-change
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
npx skills add VILA-Lab/FigMirror --skill openspec-apply-change --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
Implement tasks from an OpenSpec change. **Input**: Optionally specify a change name. If omitted, check if it can be inferred from conversation context. If vague or ambiguous you MUST prompt for available changes. **Steps** 1. **Select the change** If a name is provided, use it. Otherwise: - Infer from conversation context if the user mentioned a change - Auto-select if only one active change exists - If ambiguous, run `openspec list --json` to get available changes and use the **AskUserQuestion tool** to let the user select Always announce: "Using change: <name>" and how to override (e.g., `/opsx:apply <other>`). 2. **Check status to understand the schema** ```bash openspec status --change "<name>" --json ``` Parse the JSON to understand: - `schemaName`: The workflow being used (e.g., "spec-driven") - Which artifact contains the tasks (typically "tasks" for spec-driven, check status for others) 3. **Get apply instructions** ```bash openspec instructions apply --change "<name>" --json ``` This returns: - Context file paths (varies by schema - could be proposal/specs/design/tasks or spec/tests/implementation/docs) - Progress (total, complete, remaining) - Task list with status - Dyn
openspec status --change "<name>" --json openspec instructions apply --change "<name>" --json
What does the openspec-apply-change skill do?
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
How do I install it?
Run `npx skills add VILA-Lab/FigMirror --skill openspec-apply-change --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From VILA-Lab/FigMirror, a repository with 497 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.