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AB subscription-app-revenue

Revenue playbook for taking a mobile or web subscription app from zero to early MRR (around $1K). Use when users ask how to make money from an app, reach first subscribers or $1K MRR, validate an app idea against app-store demand, plan ASO, TikTok/Reels/Shorts or Reddit acquisition, choose freemium vs trial vs rewarded unlock, place and word a paywall, price monthly/annual plans, read churn, or diagnose a weak install-to-paid funnel. Do not use for implementing in-app purchase code (capacitor-plugins, @capgo/native-purchases), store submission mechanics (capacitor-app-store), App Review rejections (capacitor-apple-review-preflight), or shipping OTA experiments (capgo-live-updates).

Cap-go/capgo-skills Agent Skills author: Cap-go 2 files body ≈ 2 687 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Revenue playbook for taking a mobile or web subscription app from zero to early MRR (around $1K).

As a process B 74/100 · Nearly there — weak spots: inputs and preconditions, failures and branches, running it twice

ProcedureSoftware developmentMarketingMedia and videotype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
98
Quality 40%
91
Run on models
none yet
Process rating
B
74/100
Nearly there
Failures and branches w 10
0
Inputs and preconditions w 11
30
Running it twice w 4
30
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: capgo-skills

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Broad scope meta-dynamic-shell SKILL.md:48
      Shell command executed automatically when the skill loads (Claude Code !`cmd` preamble)
      !`node -e "const fs=require('fs');if(!fs.existsSync('package.json'))process.exit(0);const pkg=JSON.parse(fs.readFileSync('package.json','utf8'));const needles=['@capacitor/core','@capacitor/ios','@cap
    • low Broad scope meta-dynamic-shell SKILL.md:51
      Shell command executed automatically when the skill loads (Claude Code !`cmd` preamble)
      !`find . -maxdepth 4 \( -name 'package.json' -o -name 'capacitor.config.*' -o -name 'app.json' -o -name 'app.config.*' -o -name 'Info.plist' -o -name 'AndroidManifest.xml' -o -path './metadata' -o -pa

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 74/100

    • 0Failures and branches. Linear process with no failure handling
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 3 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 94 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2687 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 690: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 94 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.