fix(skills): add Anti-Patterns and fix descriptions for remaining skills (batch 3)

Processed 27 skills: teaching-lesson-plan through feature-prioritisation and all figma skills.
Added Anti-Patterns sections to all 27 skills.
Added Quality Checks section to financial-due-diligence (was missing entirely).
Converted user-research-synthesis Quality Standards to binary checkbox format.
Rewrote descriptions for figma-design-critique-pm, figma-design-qa, figma-design-review,
team-health-check, and user-interview-synthesis.

https://claude.ai/code/session_01MuGKn3a3Gbqoe8uM5Lmuqt

skills/user-research-synthesis/SKILL.md

@@ -123,21 +123,21 @@ Research gaps identified:
 - Quantify when possible ("7 out of 10 users...")
 - Connect themes to business objectives
 
-## Quality Standards
+## Quality Checks
 
-✅ **Good Synthesis:**
-- Identifies patterns, not just individual responses
-- Connects insights to product decisions
-- Includes supporting evidence for each claim
-- Separates observations from interpretations
-- Prioritizes findings by impact
+- [ ] Themes identify patterns across multiple participants, not individual responses
+- [ ] Insights connect to specific product decisions, not just observations
+- [ ] Each claim includes supporting evidence (quotes, counts, or examples)
+- [ ] Observations and interpretations are clearly separated
+- [ ] Findings are prioritised by impact, not just listed
 
-❌ **Poor Synthesis:**
-- Lists every individual comment
-- Lacks evidence or examples
-- Makes unsupported leaps
-- Focuses on solutions before understanding problems
-- Ignores contradictory data
+## Anti-Patterns
+
+- [ ] Do not list every individual comment — synthesis must identify patterns across participants
+- [ ] Do not make interpretive leaps without supporting evidence from the data
+- [ ] Do not focus on feature requests before understanding the underlying problem — always identify the job-to-be-done first
+- [ ] Do not ignore contradictory data — conflicting findings must be surfaced and noted
+- [ ] Do not present results without quantifying prevalence — state how many participants held each view
 
 ## Example Theme