Extracts repeatable workflow patterns into routine, playbook, and reference documents.
npx skills add https://github.com/kkudumu/feed-the-machine --skill ftm-capture
Please help me install this Agent Skill. Skill: ftm-capture Source: https://github.com/kkudumu/feed-the-machine/tree/main/ftm-capture Command: npx skills add https://github.com/kkudumu/feed-the-machine --skill ftm-capture
Extracts patterns, routines, and reference docs from the current session so repeated work is captured and reused across future tasks.
Initiate a capture after completing a repeatable workflow to save it as a routine, playbook, and reference document.
High-intent search queries and answers about installing and using this skill.
Capture repeatable workflow steps by initiating a capture after completing a task. The tool reads session context and extracts patterns into a structured JSON playbook, YAML routine, and Markdown reference document for future reuse.
Automating knowledge capture from routine tasks involves extracting repeatable patterns from your session context and writing them into durable artifacts. This generates a YAML routine and Markdown reference complete with gotchas and decisions for future use.
Yes, you can update existing routines and reference docs. When a workflow already exists, the capture process updates the current artifacts to keep your knowledge layers fresh and ensure ongoing accuracy for future tasks.
Yes, generating automation routines requires access to session context such as the blackboard, daily log, and tool history. This context is necessary to accurately extract repeatable steps and write durable automation artifacts.
Auto-suggest for capturing recurring workflow patterns works by monitoring your session for repeatable steps and prompting a capture. It guides clarifications to ensure the extracted routine and playbook remain generalizable across future tasks.
Extracting workflow patterns into knowledge layers produces a YAML routine, a JSON playbook, and a Markdown reference document. These durable artifacts capture repeatable steps, gotchas, and decisions for future automation tasks.
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