Filter collection items by applying binary keep or drop criteria.
npx skills add https://github.com/tyevans/tackline --skill filter-tyevans
Please help me install this Agent Skill. Skill: filter Source: https://github.com/tyevans/tackline/tree/main/skills/core/filter Command: npx skills add https://github.com/tyevans/tackline --skill filter-tyevans
This Skill efficiently removes irrelevant items from a collection based on a specified criterion, ensuring you only work with the data that matters.
Filter the current list of items to keep only those that are security-related.
High-intent search queries and answers about installing and using this skill.
To filter items out of a collection, apply a binary keep or drop criterion against each element. The Skill evaluates your specified rules to retain matching entries and drops irrelevant ones from the dataset.
Yes, you can use both positive and negative criteria to exclude items from a list. When filtering rules are ambiguous, the mechanism conservatively retains items unless they are explicitly excluded by your negative criteria.
The best way to prune irrelevant entries after data gathering is applying binary keep or drop logic. This mechanism evaluates each element against your user-defined rules to selectively remove irrelevant items from the collection.
Yes, this filtering approach works with data piped from upstream tasks or extracted directly from conversation context. It processes the incoming collection to remove irrelevant entries based on your defined rules.
You should not use a conservative filtering approach when you need aggressive data reduction. Because it retains items unless explicitly excluded by your rules, ambiguous criteria will keep more items in the collection than a strict inclusion filter would.
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