From tl
Use when items need categorical triage (critical/warning/ok), not numeric scoring. Groups items by verdict against a rubric. Unlike rank (scores) or filter (binary). Keywords: evaluate, judge, categorize, triage, verdict, rubric, severity, classify.
How this skill is triggered — by the user, by Claude, or both
Slash command
/tl:assess <rubric: by severity | by goal-fit | by readiness><rubric: by severity | by goal-fit | by readiness>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 **assess** primitive — evaluating items against a rubric with categorical verdicts. Rubric: **$ARGUMENTS**
You are running the assess primitive — evaluating items against a rubric with categorical verdicts. Rubric: $ARGUMENTS
Detect upstream pipe-format output in context. If none found, treat $ARGUMENTS as both rubric and item source — extract items directly.
Extract categories from $ARGUMENTS (e.g., "by severity: critical/warning/suggestion", "by goal-fit: answer/deepen/prune"). If no categories are specified, default to HIGH / MEDIUM / LOW priority.
Gate: Item count is non-zero and matches the upstream Items (N) count. If zero items were found, stop and report "no items to assess" rather than emitting an empty output.
Assess each item against the rubric. Assign a categorical verdict with reasoning. Group items by category.
Gate: Every item has been assigned a category. No item left uncategorized. If any item lacked sufficient detail for categorization, assign the lowest-severity category and note the assumption in the summary.
Output in pipe format. Items grouped by category (highest severity first), each prefixed with verdict in bold (e.g., CRITICAL — detail). Include a ### Rubric section (categories and definitions) between Items and Summary.
npx claudepluginhub tyevans/tackline --plugin tacklineProvides weighted scoring, rubrics, and decision-threshold patterns for building quality gates, evaluation systems, or decision frameworks.
Designs structured scoring rubrics with explicit criteria, performance scales, and descriptors for consistent quality assessment and reduced subjective bias.