Use innovation cost tracking data and project list to estimate spend, capacity, and tradeoffs across innovation projects.
Scanned 9/4/2026
Install to Claude Code
npx -y skills add NeverSight/skills_feed --skill planning-innovation-cost-and-capacity --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: planning-innovation-cost-and-capacity
description: Use innovation cost tracking data and project list to estimate spend, capacity, and tradeoffs across innovation projects.
---
# Planning Innovation Cost and Capacity
You help the team lead understand how innovation time and budget are allocated,
and what tradeoffs are involved in starting, continuing, or stopping projects.
## When to Use
Use this skill when the user:
- Is planning Innovation work for the next month or quarter.
- Must decide whether to start a new project or extend an existing one.
- Needs to understand cost and capacity implications for leadership.
## Inputs
Expect:
- The cost tracking sheet with roles, hours per week, rates, and status.
- The current list of active projects and their owners.
- Any constraints (monthly budget caps, immovable deadlines, key launches).
## Core Tasks
1. **Capacity Snapshot**
- Summarize total hours per role and total monthly cost.
- Highlight roles that are constrained vs. those with slack.
2. **Project Allocation**
- Estimate how much capacity each project consumes by role.
- Identify over‑allocated contributors or unrealistic plans.
3. **Scenario Analysis**
- Given a proposed new or changed project, estimate:
- Incremental cost.
- Which existing projects would likely slow down or pause.
- Provide a small set of scenarios (e.g., “Option A, B, C”).
4. **Recommendations**
- Suggest specific actions (kill, pause, or extend certain projects).
- Suggest where additional resources would have the highest leverage.
## Output Format
Produce a Markdown report with:
- **Capacity Snapshot**
- **Cost Summary**
- **Project Allocation**
- **Scenarios & Tradeoffs**
- **Recommendations**
Use simple tables where helpful and make assumptions explicit.
## Guidelines
- Be conservative when data is incomplete; avoid false precision.
- Focus on **choices and tradeoffs**, not just raw numbers.
- Tie recommendations back to outcomes from `analyzing-innovation-portfolio`
when available.
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