Agent skill

Onboarding Planner

by bpinheiroms in bpinheiroms/dotfiles

Plan high-conversion mobile app onboarding flows from scratch.

No licenceAuto-check passedBusiness, Finance & HR

Install Onboarding Planner

skills CLI
$ npx skills add bpinheiroms/dotfiles --skill onboarding-planner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bpinheiroms/dotfiles onboarding-planner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bpinheiroms/dotfiles.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/onboarding-planner .claude/skills/onboarding-planner && rm -rf skills-src

Use ~/.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/

Facts

Skill name
onboarding-planner
GitHub stars
108
Token cost
~5.4k tokens
SKILL.md length
1,512 words
Files
5 (incl. references)
Skills in repo
4
Repo updated
First seen
Licence
None found

At a glance

Plan high-conversion mobile app onboarding flows from scratch.

  • Works in 7 steps: DISCOVERY INTERVIEW → FLOW ARCHITECTURE → PSYCHOLOGICAL TRIGGERS → …
  • Tasks that involve OKRs and executive reporting
  • SKILL.md covers STEP 1: DISCOVERY INTERVIEW, STEP 2: FLOW ARCHITECTURE, STEP 3: PSYCHOLOGICAL TRIGGERS and STEP 4: PAYWALL STRATEGY, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Onboarding Planner is an agent skill from bpinheiroms/dotfiles. Plan high-conversion mobile app onboarding flows from scratch. Guides through discovery (with smart suggestions for MVPs), psychological triggers, screen-by-screen flow, paywall strategy, PostHog events, and KPIs. Based on real case study analysis (58 screens, 4 expert agents). Works for any app category. Asks questions, suggests answers.

Its SKILL.md is about 5.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/case-study-fitcal.md`, `references/growth-analytics.md` and `references/psychology-triggers.md`).

It sits in Business, Finance & HR, covering OKRs and executive reporting. It works with PostHog.

When your agent uses it

  • Tasks that involve OKRs and executive reporting

Example prompts

  • “/onboarding-planner”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. DISCOVERY INTERVIEW
  2. FLOW ARCHITECTURE
  3. PSYCHOLOGICAL TRIGGERS
  4. PAYWALL STRATEGY
  5. POSTHOG EVENT PLAN
  6. A/B TEST SUGGESTIONS
  7. FINAL OUTPUT FORMAT

What it can do on your machine

Read from SKILL.md and the folder at commit 5f967cb. 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 (its code samples are typescript).

    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 Planner loads about 5.4k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 1,512 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
When it runs · the whole SKILL.md, loaded when a task matches
~5.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~17k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,512 words (~5,415 tokens).

“Expert system for planning high-conversion mobile onboarding flows. Based on deep analysis of real case studies, behavioral economics, and growth frameworks.”

— opening of SKILL.md by bpinheiroms
name
onboarding-planner
user-invocable
true

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (references) in skills/onboarding-planner of bpinheiroms/dotfiles.

  • SKILL.md
  • references/case-study-fitcal.md
  • references/growth-analytics.md
  • references/psychology-triggers.md
  • references/screen-patterns.md

Open the folder on GitHubat commit 5f967cb

Compare with similar skills

Onboarding Planner 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.

Onboarding Planner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Onboarding Planner this skillbpinheiroms/dotfiles108—~5.4kAutomated safety check: PassNone
Analyticsericrisco/rsc-harness190—~2.8kAutomated safety check: PassMIT
Pine BacktesterTradersPost/pinescript-agents1701 repos~3.9kAutomated safety check: PassNone
Analytics Strategyrampstackco/claude-skills945—~2.4kAutomated safety check: PassMIT
Replit Decksanqiufong/slides-from-anything1321 repos~2.9kAutomated safety check: PassApache-2.0
Building Streamlit Dashboardsiusztinpaul/designing-real-world-ai-agents-workshop512—~1.1kAutomated safety check: PassApache-2.0

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Works with

Questions about Onboarding Planner

What does Onboarding Planner do?

Plan high-conversion mobile app onboarding flows from scratch. Onboarding Planner is an agent skill from bpinheiroms/dotfiles. Plan high-conversion mobile app onboarding flows from scratch.

When should I use Onboarding Planner?

Onboarding Planner fits situations like: tasks that involve OKRs and executive reporting.

How do I install Onboarding Planner in Claude Code?

Run `npx skills add bpinheiroms/dotfiles --skill onboarding-planner -a claude-code`. Or copy the skill folder (skills/onboarding-planner in bpinheiroms/dotfiles) into .claude/skills/onboarding-planner in your project. Claude Code loads it when a task matches its description.

How do I install Onboarding Planner in Codex?

Run `npx skills add bpinheiroms/dotfiles --skill onboarding-planner -a codex`. Or copy the skill folder (skills/onboarding-planner in bpinheiroms/dotfiles) into .agents/skills/onboarding-planner in your project. Codex loads it when a task matches its description.

Can I use Onboarding Planner 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 bpinheiroms/dotfiles --skill onboarding-planner -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-planner, .gemini/skills/onboarding-planner, .github/skills/onboarding-planner and .opencode/skills/onboarding-planner in your project.

What does Onboarding Planner need to run?

SKILL.md names no scripts, command-line tools or credentials: Onboarding Planner is instructions for the agent only.

Does Onboarding Planner 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 Planner 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 Planner use?

No licence was found for Onboarding Planner or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Onboarding Planner use?

About 5.4k tokens (SKILL.md is roughly 22k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.

What are the alternatives to Onboarding Planner?

Skills that share tags, products or a category with Onboarding Planner: Analytics (ericrisco/rsc-harness, 190 stars), Pine Backtester (TradersPost/pinescript-agents, 170 stars), Analytics Strategy (rampstackco/claude-skills, 945 stars) and Replit Deck (sanqiufong/slides-from-anything, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Onboarding Planner?

bpinheiroms (a GitHub user) maintains it in bpinheiroms/dotfiles, which has 108 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on June 5, 2026.

Source: bpinheiroms/dotfiles on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.