Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Design and execute growth strategies with acquisition loops, activation, and retention systems.
Design and execute growth strategies with acquisition loops, activation, and retention systems.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Pick ONE metric that: Reflects core value delivered to customer Leads revenue (not lags) Entire team can influence Examples by business type: Marketplace: transactions completed SaaS: weekly active users or actions Media: time spent or content consumed E-commerce: purchase frequency All other metrics ladder up to this.
Define specific metrics for each stage: Acquisition: How users find you β visits, signups Activation: First value moment β completed onboarding, first action Retention: Coming back β DAU/MAU, return rate by cohort Revenue: Paying you β conversion rate, ARPU, LTV Referral: Bringing others β viral coefficient, referral rate Find the weakest stageβthat's your focus.
Identify which loop fits your product: Viral loop: User β invites friends β friends become users Measure: viral coefficient (invites Γ conversion rate) Needs: sharing valuable to user, not just company Content loop: Create content β SEO/social β users β some create content Measure: content created per user, traffic per content Needs: user-generated content or team-generated Paid loop: Revenue β reinvest in ads β users β revenue Measure: CAC vs LTV, payback period Needs: unit economics that work (LTV > 3Γ CAC) Sales loop: Sales β customers β case studies/referrals β leads Measure: pipeline velocity, referral rate Needs: sales team, high ACV
Define the "aha moment"βwhen user gets value: What specific action indicates user "got it"? How long should it take? (First session? First week?) What % of signups reach it currently? What steps are required before it? Remove every obstacle between signup and aha moment. Measure time-to-value and optimize ruthlessly.
Cohort retention curves reveal truth: Flatten = habit formed, product has value Decline to zero = product problem, not growth problem Early drop = activation problem Actions: Plot weekly/monthly retention by signup cohort Find what retained users did that churned didn't Make that action part of onboarding
Score potential channels: ChannelCAC estimateVolume potentialSpeed to test Prioritize: low CAC + high volume + fast to test first. Channel categories: Paid: Meta, Google, TikTok, influencers Organic: SEO, content, social, community Product: referral, virality, integrations Sales: outbound, partnerships Test 2-3 max simultaneously. Kill losers fast.
For each experiment, document: Hypothesis: "If we [change], then [metric] will [impact] because [reason]" Metric: specific number you're moving Sample size: how many users needed for significance Duration: how long to run Prioritize with ICE: Impact (1-10): how much will it move the metric? Confidence (1-10): how sure are you it will work? Ease (1-10): how fast/cheap to implement? Run highest ICE scores first.
Common high-impact, low-effort fixes: Reduce signup form fields to minimum Add social proof to landing page Implement abandoned cart/onboarding emails Add referral program if none exists Fix the slowest page load Add exit intent offer Personalize onboarding by use case
Components: Incentive: what giver and receiver get Mechanic: how sharing works (link, code, invite) Trigger: when to prompt (after value, not before) Tracking: attribution for rewards Test: Is the incentive good enough to overcome sharing friction? Double-sided incentives (both get value) outperform one-sided.
Track weekly at minimum: North Star metric Funnel conversion by stage Retention by weekly cohort CAC and LTV (if spending on acquisition) Active experiments and results Segment by: acquisition source, user type, geography.
Optimizing acquisition when retention is brokenβpouring water into leaky bucket Too many experiments runningβcan't tell what worked Vanity metrics (signups, pageviews) vs value metrics (activation, revenue) Copying competitor tactics without understanding their context Not running experiments long enough for statistical significance
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.