Project dossier
A planning layer for whether a skill should actually be adopted.
Skill Adoption Planner 🇨🇳 中文 Plan Skill rollout strategies within organizations, identify seed users, create phased plans, and prepare for resistance.
Workflow replaced: Collecting skills without evaluating fit, payoff, or operational friction.
Why it matters: AI workflow libraries fail when everything gets added but nothing gets adopted. Adoption discipline is part of product quality.
How it gets used
Plan Skill rollout strategies within organizations, identify seed users, create phased plans, and prepare for resistance.
# Analyze departments
python scripts/analyze_departments.py \
--departments "技术,产品,销售,市场,财务,HR"
# With company size for headcount estimates
python scripts/analyze_departments.py \
--departments "技术,产品,销售" \
--total-size 200
# Output as JSON
python scripts/analyze_departments.py --json ...| Department | Tech Acceptance | Best Strategy |
|---|---|---|
| Engineering | High | Seed department, emphasize efficiency |
| Product | High | Sync with engineering, collaboration focus |
| Sales | Medium | ROI-driven, ready-to-use Skills |
| Marketing | Medium | Creative assistance, content generation |
| Finance | Low | Accuracy focus, start with low-risk scenarios |
| HR | Low | Simple tools, emphasize assistance not replacement |
| Customer Service | Medium | High-frequency use cases, quick wins |
| Legal | Low | Expert involvement, human review required |
| Operations | Medium | Data-driven, show efficiency gains |
MIT