fix(skills): add Anti-Patterns sections, fix descriptions, quality checks, and required inputs
- Add Anti-Patterns section (3-5 binary checkboxes) to all modified skills - Fix Quality Checks to use binary checkbox format where needed - Rewrite descriptions to verb-when-produces format where needed - Add Required Inputs sections to skills missing them - Fix email-triage frontmatter YAML quoting https://claude.ai/code/session_01MuGKn3a3Gbqoe8uM5Lmuqt
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name: rice-prioritisation
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description: "Score and rank product initiatives using the RICE framework. Use when asked to prioritise features, rank a backlog using RICE, score initiatives for quarterly planning, or apply an objective framework to a list of competing ideas. Produces a ranked RICE table with scores, quick wins and moonshot flags, dependency notes, and a recommended sequencing order."
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description: "Scores and ranks product initiatives using the RICE framework. Use when asked to prioritise features, rank a backlog using RICE, score initiatives for quarterly planning, or apply an objective framework to a list of competing ideas. Produces a ranked RICE table with scores, quick wins and moonshot flags, dependency notes, and a recommended sequencing order."
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---
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# RICE Prioritisation Skill
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@@ -57,3 +57,11 @@ RICE Score = (Reach × Impact × Confidence) / Effort
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- [ ] Quick wins and moonshots are explicitly called out
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- [ ] Dependencies that affect sequencing are noted
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- [ ] Any surprising ranking is investigated before accepting it
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## Anti-Patterns
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- [ ] Do not default to 100% confidence on estimates that lack supporting data — this inflates scores and misleads planning
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- [ ] Do not treat RICE scores as a final decision — a ranking that surprises the team must be investigated before it is accepted
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- [ ] Do not omit effort estimates from engineering — PM-only effort estimates are frequently optimistic and skew results
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- [ ] Do not forget to note dependencies that would change the sequencing even if RICE scores suggest otherwise
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- [ ] Do not score every initiative at the same impact level — if everything is "high impact," the framework produces no useful signal
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