quantification-metrics-timeline
Sub-skill of quantification-metrics: Timeline (+2).
Best use case
quantification-metrics-timeline is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of quantification-metrics: Timeline (+2).
Teams using quantification-metrics-timeline should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/timeline/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How quantification-metrics-timeline Compares
| Feature / Agent | quantification-metrics-timeline | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of quantification-metrics: Timeline (+2).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Timeline (+2) ## Timeline - **Time to First Value:** [timeframe] - [what happens] - **Time to Full Adoption:** [timeframe] - [criteria] - **Onboarding Duration:** [timeframe] - [completion criteria] ## Usage - **Active Users:** [target %] of [user base] - **Feature Utilization:** [%] of features actively used - **Frequency:** [times per period] - **Retention:** [%] after [timeframe] ## Satisfaction - **User Satisfaction Score:** [score/10] or [%] - **Task Elimination:** [%] of repetitive tasks removed - **Pain Point Resolution:** [%] of pain points addressed - **Net Promoter Score:** [score] ```
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