From tl
Use when you have items and need to know which matter most. Scores and reorders by criteria you specify. Keeps all items (use filter to drop). Keywords: sort, score, prioritize, order, compare, evaluate, weight.
How this skill is triggered — by the user, by Claude, or both
Slash command
/tl:rank <criteria: by complexity, by risk, by effort><criteria: by complexity, by risk, by effort>This skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are running the **rank** primitive — scoring and ordering items by user-specified criteria. Criteria: **$ARGUMENTS**
You are running the rank primitive — scoring and ordering items by user-specified criteria. Criteria: $ARGUMENTS
Detect upstream pipe-format output in context. If none found, treat $ARGUMENTS as both criteria and item source — extract items directly.
Extract scoring dimensions from $ARGUMENTS (e.g., "by complexity" → one dimension; "by risk, DX" → two dimensions). Use equal weighting unless user specifies otherwise.
Assign numeric scores (1-5 scale) for each criterion per item. Calculate overall rank (average or weighted sum). Re-order items from highest to lowest score.
Gate: Every item has a numeric score for every criterion — no blanks in the criteria table. If an item lacked sufficient detail to score a criterion, assign the median score (3) and note the assumption in the summary rather than leaving the cell empty.
Gate: No two items share the same overall rank. If a tie exists, break it using the most decision-relevant criterion from $ARGUMENTS; note the tiebreak in the summary.
Output in pipe format with a ### Criteria section (table: rows=items, columns=criteria+rank) between Items and Summary.
npx claudepluginhub tyevans/tackline --plugin tacklinePrioritizes lists of ideas, features, bugs, or initiatives using RICE framework (Reach × Impact × Confidence / Effort) with table ranking and recommendations. Use when deciding what to do first among options.
Scores and prioritizes feature lists or initiatives using RICE, ICE, or custom frameworks. Outputs ranked tables with scores, rationales, cut lines, and capacity recommendations.
Ranks backlog items or opportunities by evidence-backed Value and Confidence, producing a defensible ranking with banded recommendations.