Scans agent sessions and task summaries to recommend reusable workflow creations.
npx skills add https://github.com/mlhiter/skills --skill workflow-packager
Please help me install this Agent Skill. Skill: workflow-packager Source: https://github.com/mlhiter/skills/tree/main/skills/workflow-packager Command: npx skills add https://github.com/mlhiter/skills --skill workflow-packager
This Skill identifies and recommends the creation of reusable workflows for repetitive tasks, reducing manual effort and improving efficiency.
Use the workflow-packager skill to review recent work and identify repeatable processes for automation.
High-intent search queries and answers about installing and using this skill.
To identify repetitive tasks for workflow automation, scan recent agent sessions, memories, and task summaries to find patterns. The workflow-packager skill analyzes this historical data to detect recurring processes suitable for reusable automation.
You can convert regular coding patterns into reusable workflows by scanning session histories to detect recurring routines. The skill suggests the best candidate subagents or automations and requires your confirmation before creating or extending the actual workflow.
Yes, you can use session memories to recommend process automation improvements. The skill scans stored memories and recent task summaries to pinpoint repetitive work, then suggests specific skills or subagents to automate those identified processes.
No, the workflow packager does not create automations automatically. It requires explicit user confirmation before creating or extending any workflows, ensuring you maintain control over which suggested repeatable tasks become reusable assets.
The best way to package deployment processes is to analyze recent task summaries for recurring steps. The skill identifies these repeatable sequences and recommends appropriate skills or automations to convert them into packaged, reusable workflows.
You should avoid automated workflow packaging when your recent agent sessions lack sufficient history or repetitive patterns. Without recurring tasks in memories or summaries, the skill cannot effectively identify candidates or suggest viable reusable automations.
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