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feat: 100 skills milestone — 7 new skills + quality improvements across all 93

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New skills added:
- teaching-lesson-plan: structured lesson plans for any subject/audience/setting
- seo-content-brief: complete SEO briefs with intent, competitor gaps, and outline
- media-pitch: story-first journalist pitches with angle development framework
- change-management-plan: stakeholder analysis, comms strategy, adoption metrics
- workshop-facilitation-guide: activity instructions, decision protocols, facilitator moves
- sales-forecasting-model: pipeline model, scenario analysis, assumption log
- tax-planning-checklist: year-end tax planning across income, pension, CGT, reliefs

Quality improvements across all 93 existing skills:
- Standardised description format: "Verb the thing. Use when X. Produces Y."
- Added Required Inputs section to all skills missing it (prompts for missing info)
- Added Quality Checks section to all skills missing it (specific, not generic)
- Fixed broken multiline YAML descriptions
- Removed non-standard frontmatter keys (tool_integration, metadata blocks)

README updated to v6.0.0 with 100-skill count, new skill tables, and article series

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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skills/retention-analysis/SKILL.md
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---
name: retention-analysis
description: Structures retention analysis, churn investigations, and engagement deep-dives for product teams. Use when asked to analyse user retention, investigate churn, measure DAU/MAU, or build a retention improvement plan. Triggers on "retention analysis", "churn", "DAU/MAU", "user retention", "why are users leaving".
description: "Structure a retention analysis, churn investigation, or engagement deep-dive for any product team. Use when asked to analyse user retention, investigate churn, measure DAU/MAU, or build a retention improvement plan. Produces a retention snapshot with root cause hypotheses, aha-moment correlation, and prioritised interventions."
---
# Retention Analysis Skill
@@ -108,6 +108,24 @@ Users who [specific action] in first [N] days retain at [X%] vs [Y%] for those w
---
## Required Inputs
Ask the user for these if not provided:
- **Product and business model** (SaaS / consumer app / marketplace / other)
- **Current retention metrics** (D1, D7, D30 if available)
- **Segment to analyse** (all users / paid / free / a specific cohort)
- **Key question to answer** (why is retention dropping? what drives retention?)
- **Available data** (analytics events, churn surveys, interview notes)
## Quality Checks
- [ ] Retention curve shape is diagnosed (flattening vs trending to zero = PMF vs onboarding)
- [ ] Cohorts are segmented before analysis (not all users lumped together)
- [ ] "Aha moment" correlation is identified or flagged as unknown
- [ ] Interventions are specific (not "improve onboarding")
- [ ] Churned user interviews are recommended (not just data analysis)
- [ ] Monitoring plan includes an alert threshold
## Guidelines
- Never recommend "improve onboarding" without specifying *what* to change and *why*