How do I install the Activation Optimization skill?

Run npx skillmds@latest add nandanosql/activation-optimization in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Activation Optimization safe to use?

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Which AI agents work with Activation Optimization?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Activation Optimization free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Activation Optimization?

nandanosql (@nandanosql) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Activation Optimization by nandanosql

Name: Activation Optimization
Author: nandanosql

File contents

Purpose

Diagnose and optimize the critical signup-to-value journey — finding the "aha moment," measuring time-to-value, and designing interventions that turn signups into activated, retained users.

Application

Step 1: Define Activation

**Activation event:** [The specific action that correlates with long-term retention]
**How we found it:** [Correlation analysis / cohort analysis / intuition + data]
**Current activation rate:** [% of signups completing the activation event]
**Current time-to-activation:** [Median time from signup to activation event]

Step 2: Map the Activation Funnel

| Step | % Completion | Drop-off | Hypothesis for Drop-off |
|------|-------------|---------|------------------------|
| 1. Signup | 100% | — | — |
| 2. [First step] | [%] | [%] | [Why they leave] |
| 3. [Second step] | [%] | [%] | [Why they leave] |
| 4. [Aha moment] | [%] | [%] | [Why they leave] |
| 5. Activated | [%] | — | — |

Step 3: Identify Interventions

**Top 3 interventions (by expected impact):**

1. **[Intervention]**
   - Target: Step [#] (biggest drop-off)
   - Estimated impact: [+X% activation]
   - Effort: [S/M/L]
   - Test: [A/B test / prototype / fake door]

2. **[Intervention]**
   ...

Quality Rubric

Dimension	0	1	2
Activation Definition	"When they sign up"	Activity-based	Data-validated correlation to retention
Funnel Mapping	Not mapped	Steps listed	Steps + drop-off % + hypotheses
Interventions	"Improve onboarding"	Specific ideas	Prioritized + effort-estimated + testable

References

Related Skills

skills/analytics/funnel-analysis/SKILL.md — Build the activation funnel
skills/growth/ab-test-design/SKILL.md — Test interventions
skills/growth/retention-deep-dive/SKILL.md — Activation drives retention

Skill type: Component Domain: Growth & Optimization

---name: activation-optimizationdescription: Diagnose and optimize user activation — the critical journey from signup to first value. Covers activation metrics, onboarding analysis, aha moment identification, and improvement strategies.---## PurposeDiagnose and optimize the critical **signup-to-value journey** — finding the "aha moment," measuring time-to-value, and designing interventions that turn signups into activated, retained users.---## Application### Step 1: Define Activation```markdown**Activation event:** [The specific action that correlates with long-term retention]**How we found it:** [Correlation analysis / cohort analysis / intuition + data]**Current activation rate:** [% of signups completing the activation event]**Current time-to-activation:** [Median time from signup to activation event]```### Step 2: Map the Activation Funnel```markdown| Step | % Completion | Drop-off | Hypothesis for Drop-off ||------|-------------|---------|------------------------|| 1. Signup | 100% | — | — || 2. [First step] | [%] | [%] | [Why they leave] || 3. [Second step] | [%] | [%] | [Why they leave] || 4. [Aha moment] | [%] | [%] | [Why they leave] || 5. Activated | [%] | — | — |```### Step 3: Identify Interventions```markdown**Top 3 interventions (by expected impact):**1. **[Intervention]** - Target: Step [#] (biggest drop-off) - Estimated impact: [+X% activation] - Effort: [S/M/L] - Test: [A/B test / prototype / fake door]2. **[Intervention]** ...```---## Quality Rubric| Dimension | 0 | 1 | 2 ||-----------|---|---|---|| **Activation Definition** | "When they sign up" | Activity-based | Data-validated correlation to retention || **Funnel Mapping** | Not mapped | Steps listed | Steps + drop-off % + hypotheses || **Interventions** | "Improve onboarding" | Specific ideas | Prioritized + effort-estimated + testable |---## References### Related Skills- `skills/analytics/funnel-analysis/SKILL.md` — Build the activation funnel- `skills/growth/ab-test-design/SKILL.md` — Test interventions- `skills/growth/retention-deep-dive/SKILL.md` — Activation drives retention---**Skill type:** Component**Domain:** Growth & Optimization

Frequently asked questions

Activation Optimization