Human Gate Designer
curiositech/some_claude_skills
Designs human-in-the-loop review points for DAG workflows. An agent skill from curiositech/some_claude_skills.
When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow.
Install Onboarding Optimization
$ npx skills add appeeky/aso-skills --skill onboarding-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install appeeky/aso-skills onboarding-optimization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/onboarding-optimization .claude/skills/onboarding-optimization && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "onboarding-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/onboarding-optimization into .claude/skills/onboarding-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-optimization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/appeeky/aso-skills/tree/main/skills/onboarding-optimizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add appeeky/aso-skills --skill onboarding-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install appeeky/aso-skills onboarding-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/onboarding-optimization .agents/skills/onboarding-optimization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "onboarding-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/onboarding-optimization into .agents/skills/onboarding-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-optimization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add appeeky/aso-skills --skill onboarding-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install appeeky/aso-skills onboarding-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/onboarding-optimization .cursor/skills/onboarding-optimization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "onboarding-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/onboarding-optimization into .cursor/skills/onboarding-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-optimization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/appeeky/aso-skills.git --path skills/onboarding-optimization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add appeeky/aso-skills --skill onboarding-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install appeeky/aso-skills onboarding-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/onboarding-optimization .gemini/skills/onboarding-optimization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "onboarding-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/onboarding-optimization into .gemini/skills/onboarding-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-optimization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install appeeky/aso-skills onboarding-optimizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add appeeky/aso-skills --skill onboarding-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/onboarding-optimization .github/skills/onboarding-optimization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "onboarding-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/onboarding-optimization into .github/skills/onboarding-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-optimization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add appeeky/aso-skills --skill onboarding-optimization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install appeeky/aso-skills onboarding-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/appeeky/aso-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/onboarding-optimization .opencode/skills/onboarding-optimization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "onboarding-optimization" agent skill from https://github.com/appeeky/aso-skills/tree/main/skills/onboarding-optimization into .opencode/skills/onboarding-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "onboarding-optimization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
onboarding-optimization- GitHub stars
- 2.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 577 words
- Files
- 1
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- MIT
At a glance
When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow.
- Works in 4 steps: Map the Current Flow → Score Each Screen → Permission Prompt Timing → …
- Wants to improve their apps onboarding experience
- SKILL.md covers The Activation Principle, Initial Assessment, Onboarding Audit Framework and Onboarding Patterns by App Type, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Onboarding Optimization is an agent skill from appeeky/aso-skills. When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow. Use when the user mentions "onboarding", "first-run", "activation", "tutorial", "day 1 retention", "new user flow", "permission prompts", "sign-up conversion", "onboarding funnel", or "users dropping off early". For overall retention strategy, see retention-optimization. For paywall placement, see monetization-strategy.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Human-in-the-loop approvals and UX design. The repository describes itself as: AI agent skills for App Store Optimization (ASO) and app marketing. Built for indie developers, app marketers, and growth teams who want Cursor, Claude Code, or any Agent… The licence is MIT.
When your agent uses it
- Wants to improve their apps onboarding experience
- Increase activation rate
- Reduce Day 1 drop-off
- Optimize the first-run flow
Example prompts
- “onboarding”
- “first-run”
- “activation”
- “/onboarding-optimization”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 3919d7c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Onboarding Optimization loads about 1.7k tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 577 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from appeeky/aso-skills at commit 3919d7c, republished under its MIT licence (© appeeky). 577 words, ~1,655 tokens.
Download SKILL.mdSave it as
.claude/skills/onboarding-optimization/SKILL.md (or your agent's skills folder).- name
- onboarding-optimization
- description
- When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow. Use when the user mentions "onboarding", "first-run", "activation", "tutorial", "day 1 retention", "new user flow", "permission prompts", "sign-up conversion", "onboarding funnel", or "users dropping off early". For overall retention strategy, see retention-optimization. For paywall placement, see monetization-strategy.
- metadata.version
- 1.0.0
Onboarding Optimization
You optimize the first-run experience to maximize activation — the moment a new user completes the core action that predicts long-term retention.
The Activation Principle
Activation ≠ sign-up. Activation is the first time the user gets real value from your app. Identify it before anything else.
| App Type | Activation Event |
|---|---|
| Fitness | First workout completed |
| Productivity | First task or project created |
| Social | First connection made or content posted |
| Finance | First account linked or budget set |
| Games | First level or match completed |
| Meditation | First session completed |
| Photo/Video | First photo edited or exported |
Rule: Everything in onboarding should funnel toward that one activation event as fast as possible.
Initial Assessment
- Check for
app-marketing-context.md - Ask: What is your activation event?
- Ask: What % of new users reach it within 24 hours? (baseline)
- Ask: Where do users drop off? (which step, if known)
- Ask: How long does your current onboarding take? (steps, screens)
- Ask: Do you have Firebase/Mixpanel funnels set up?
Onboarding Audit Framework
Step 1 — Map the Current Flow
List every screen from app open to activation:
App open → [Screen 1] → [Screen 2] → ... → Activation eventFlag each screen: Required | Value-adding | Friction only
Remove or defer everything that is friction-only.
Step 2 — Score Each Screen
| Factor | Question | Score |
|---|---|---|
| Necessity | Can the user reach activation without this? | 0 = skip it |
| Timing | Is this the right moment for this ask? | |
| Value exchange | Does the user understand why this benefits them? | |
| Cognitive load | How many decisions does this require? |
Step 3 — Permission Prompt Timing
Permissions are the #1 drop-off point. Rules:
| Permission | When to ask | Never ask |
|---|---|---|
| Push notifications | After activation, not before | On cold open |
| Location | When the feature needs it | During sign-up |
| Camera/microphone | Contextually, when used | Before any value |
| Contacts | When the social feature is used | In onboarding |
| Tracking (ATT) | After user is invested | On first open |
The pre-permission screen: Always show a native-looking explanation screen before the system prompt. Users who understand the "why" grant at 2–3× the rate.
Show full SKILL.md (256 more words)Show less
Step 4 — Sign-Up Friction
| Pattern | Impact | Recommendation |
|---|---|---|
| Required sign-up before value | High drop-off | Defer to post-activation |
| Only email+password | Medium drop-off | Add Sign in with Apple + Google |
| Long profile setup | High drop-off | Ask 1 question max, defer rest |
| Email verification required | Kills momentum | Defer or make optional |
Guest mode / try before sign-up: Allow users to experience the core value before requiring an account. Conversion from guest → registered is typically 40–60% vs. a hard gate at 15–30%.
Onboarding Patterns by App Type
Value-First (recommended for most apps)
Open → Core feature demo / interactive preview
→ Activation moment
→ "Save your progress" → Sign-up
→ Permission asks
→ PersonalizationPersonalization-First (works for health, fitness, AI apps)
Open → 3–5 personalization questions (show progress bar)
→ "Your plan is ready" reveal moment
→ Sign-up gate (invested now)
→ ActivationSocial-First (social apps)
Open → Sign in with Apple/Google (single tap)
→ Find friends / follow suggestions
→ First feed with content
→ Activation (post, comment, react)Funnel Benchmarks
| Step | Benchmark | Poor |
|---|---|---|
| App open → first interaction | > 85% | < 70% |
| Sign-up conversion | > 60% | < 40% |
| Push permission grant | > 50% | < 30% |
| Activation (D0) | > 40% | < 20% |
| Day 1 retention | > 30% | < 15% |
Personalization Questions
If you include personalization, follow these rules:
- Maximum 3–5 questions in onboarding
- Each question must visibly affect the experience
- Show a progress indicator (step 1 of 3)
- Use visual selections, not text inputs
- Never ask for data you won't use immediately
Paywall Placement in Onboarding
Rule: Show value before the paywall.
| Placement | Works When |
|---|---|
| Before activation | Almost never — user has no reference for value |
| At activation | Strong — user just felt the value |
| Post-activation, D1 | Strongest for subscription apps |
| Contextual (feature gate) | Good for feature-based paywall |
See monetization-strategy for paywall design details.
Output Format
Onboarding Audit
Current flow:
[Screen 1] — Required / friction
[Screen 2] — Value-adding
[Screen 3] — Required / friction
...
[Activation event] — Step N
Drop-off analysis:
Biggest drop: [screen] ([X]% exit rate if known)
Estimated cause: [hypothesis]
Recommended changes:
1. [Remove / defer X] — Expected impact: [lift in activation]
2. [Reorder Y before Z] — Expected impact: [rationale]
3. [Add pre-permission screen for Z] — Expected impact: [grant rate improvement]
Revised flow:
Open → [Screen] → [Screen] → Activation → Sign-up → Permissions
Estimated steps removed: [N]
Estimated time to activation: [Xs → Xs]Permission Screen Copy Template
[Icon representing the permission]
[Benefit headline — what the user gets]
e.g., "Get notified when your goal is complete"
[One-line explanation]
e.g., "We'll only send you reminders you set — no spam."
[Allow button] [Not now]Related Skills
retention-optimization— Day 7/30 retention strategymonetization-strategy— Paywall placement and trial designab-test-store-listing— Test onboarding variantsapp-analytics— Set up activation funnel trackingrating-prompt-strategy— When to ask for a rating post-activation
© appeeky, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/onboarding-optimization of appeeky/aso-skills.
Open the folder on GitHubat commit 3919d7c
Compare with similar skills
Onboarding Optimization next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Onboarding Optimization this skillappeeky/aso-skills | 2.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Human Gate Designercuriositech/some_claude_skills | 243 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Simulate User Py4vaspvasp-dev/py4vasp | 100 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Jarvis Setupethanplusai/jarvis | 838 | — | ~2.5k | Automated safety check: Notes | Custom licence | |
| Wayfinder Codex UX Reviewasdecided/WayfinderRouter | 417 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| UI Automation Workflowsconorluddy/xclaude-plugin | 183 | — | ~2.2k | Automated safety check: Pass | MIT |
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Categories
Questions about Onboarding Optimization
What does Onboarding Optimization do?
When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow. Onboarding Optimization is an agent skill from appeeky/aso-skills. When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow.
When should I use Onboarding Optimization?
Onboarding Optimization fits situations like: wants to improve their apps onboarding experience; increase activation rate; reduce Day 1 drop-off; optimize the first-run flow.
How do I install Onboarding Optimization in Claude Code?
Run `npx skills add appeeky/aso-skills --skill onboarding-optimization -a claude-code`. Or copy the skill folder (skills/onboarding-optimization in appeeky/aso-skills) into .claude/skills/onboarding-optimization in your project. Claude Code loads it when a task matches its description.
How do I install Onboarding Optimization in Codex?
Run `npx skills add appeeky/aso-skills --skill onboarding-optimization -a codex`. Or copy the skill folder (skills/onboarding-optimization in appeeky/aso-skills) into .agents/skills/onboarding-optimization in your project. Codex loads it when a task matches its description.
Can I use Onboarding Optimization in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add appeeky/aso-skills --skill onboarding-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/onboarding-optimization, .gemini/skills/onboarding-optimization, .github/skills/onboarding-optimization and .opencode/skills/onboarding-optimization in your project.
What does Onboarding Optimization need to run?
SKILL.md names no scripts, command-line tools or credentials: Onboarding Optimization is instructions for the agent only.
Does Onboarding Optimization access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Onboarding Optimization safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Onboarding Optimization use?
Onboarding Optimization is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Onboarding Optimization use?
About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Onboarding Optimization?
Skills that share tags, products or a category with Onboarding Optimization: Human Gate Designer (curiositech/some_claude_skills, 243 stars), Simulate User Py4vasp (vasp-dev/py4vasp, 100 stars), Jarvis Setup (ethanplusai/jarvis, 838 stars) and Wayfinder Codex UX Review (asdecided/WayfinderRouter, 417 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Onboarding Optimization?
appeeky (a GitHub organization) maintains it in appeeky/aso-skills, which has 2,152 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 6, 2026.
Source: appeeky/aso-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.