Agent skill

Clearbox Onboard

by shawnla90 in shawnla90/gtm-coding-agent

Turn a website domain into a complete Clearbox offer pack — one-liner, selling points in the form's fixed template shapes, keywords, competitor brands, own brands, and suggested tracked subreddits —…

MITAuto-check passedMarketing & SEO

Install Clearbox Onboard

skills CLI
$ npx skills add shawnla90/gtm-coding-agent --skill clearbox-onboard -a claude-code

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

GitHub CLI
$ gh skill install shawnla90/gtm-coding-agent clearbox-onboard --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/shawnla90/gtm-coding-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/clearbox-onboard .claude/skills/clearbox-onboard && 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
clearbox-onboard
GitHub stars
155
Token cost
~1.7k tokens
SKILL.md length
953 words
Files
4
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Turn a website domain into a complete Clearbox offer pack — one-liner, selling points in the form's fixed template shapes, keywords, competitor brands, own brands, and suggested tracked subreddits —…

  • Works in 8 steps: Read what the user gave you → Research the company (never assume) → Draft the one-liner → …
  • The user says clearbox onboard <domain
  • SKILL.md covers Inputs, Before you write a word, The standard and Steps, plus 2 more sections
  • Calls jq; reaches github.com

What it does

Clearbox Onboard is an agent skill from shawnla90/gtm-coding-agent. Turn a website domain into a complete Clearbox offer pack — one-liner, selling points in the form's fixed template shapes, keywords, competitor brands, own brands, and suggested tracked subreddits — grounded in real research and paste-ready for the clearbox.to onboarding form. No API submission; the user pastes. Use when the user says "clearbox onboard <domain", "/clearbox-onboard", "build a clearbox offer pack for <company", or "write my clearbox onboarding".

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `FACTCHECK.md`, `PROMPT.md` and `TEMPLATE.md`).

It sits in Marketing & SEO. It works with Reddit. The repository describes itself as: Build your go-to-market engine with coding agents instead of a $2K/mo tool stack. 21 chapters, nine forkable starters, four installable skills, GTM-OS skeleton, and Python… The licence is MIT.

When your agent uses it

  • The user says clearbox onboard <domain
  • /clearbox-onboard
  • Build a clearbox offer pack for <company
  • Write my clearbox onboarding

Example prompts

  • “clearbox onboard <domain”
  • “/clearbox-onboard”
  • “build a clearbox offer pack for <company”
  • “/clearbox-onboard”

Workflow steps

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

  1. Read what the user gave you
  2. Research the company (never assume)
  3. Draft the one-liner
  4. Fill the selling-point slots
  5. Keywords, competitor brands, own brands
  6. Suggest tracked subreddits
  7. Assemble and save the artifact
  8. Hand over the paste block

What it can do on your machine

Read from SKILL.md and the folder at commit 072c185. 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

    Shell commands in SKILL.md call:

    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    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

Clearbox Onboard loads about 1.7k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 953 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 shawnla90/gtm-coding-agent at commit 072c185, republished under its MIT licence (© shawnla90). 953 words, ~1,742 tokens.

Download SKILL.mdSave it as .claude/skills/clearbox-onboard/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
clearbox-onboard
description
Turn a website domain into a complete Clearbox offer pack — one-liner, selling points in the form's fixed template shapes, keywords, competitor brands, own brands, and suggested tracked subreddits — grounded in real research and paste-ready for the clearbox.to onboarding form. No API submission; the user pastes. Use when the user says "clearbox onboard <domain>", "/clearbox-onboard", "build a clearbox offer pack for <company>", or "write my clearbox onboarding".
version
1.0.0

clearbox-onboard

One domain in, a full Clearbox offer pack out, every claim sourced.

The clearbox.to onboarding form asks for a name, a one-liner (80 chars max), and selling points, and warns: "Don't rush this one. Clearbox scores Reddit content against what you write here." This skill is the not-rushing. It researches the company first, then fills the form's exact shapes plus the fields behind the form (keywords, competitors, tracked subreddits). The stakes are structural: your keywords and competitors drive the matching, and the subreddit suggestion pass runs once at onboarding and is never re-run. Write these fields like they are permanent, because they mostly are. Output is pasted by the user into the form; there is no API path today.

Inputs

A website domain (e.g. acme.com); optionally any of: a knowledge brief, a codebase path, or the company's own-words description — whatever is supplied gets read first.

Before you write a word

Read FACTCHECK.md in this directory and hold every output to it. Short version: every selling point traces to a URL, "Unlike X" claims need a source on X too, never assume the category from the name, the user's brief is intent not fact, absence claims ("only X does...") are traps, and no invented subreddit or brand names.

The standard

The form's own example one-liner is the shape: "HubSpot is a CRM for B2B sales teams." The bar to clear: a stranger reads one sentence and knows what the product is, who uses it, and why it matters. Twenty-five words or fewer usually gets there; 80 characters is the hard limit.

Steps

1. Read what the user gave you

Brief, codebase, own-words description — read it all before researching, so you know the positioning intent.

Gotcha: user materials are authoritative on positioning intent, never on public claims. A claim the company makes about itself still needs to exist on their site (or somewhere public) before it enters a scored field. If it exists nowhere public, flag it: "publish this first or it stays out."

2. Research the company (never assume)

Fetch their website and web-search them. Confirm what they actually sell, who the buyer is, and who they actually compete with. In one reference build, a client looked like an "engines and generators" business from the name and turned out to be an outdoor power equipment dealer; the wrong assumption would have poisoned everything.

  • Fetch: homepage, /pricing, /docs, /changelog or /blog (whichever exist).
  • Search: "<name> alternatives", "<name> vs <competitor>", and the category head terms.
  • Capture as you go: what they sell, who buys, competitor names, and the literal words buyers use for the problem — those words become the keywords.
3. Draft the one-liner

Hard limit 80 characters. Check it, don't eyeball it:

bash
printf '%s' "<one-liner>" | wc -c

Shape: "X is a [category] for [who]". No adjective that doesn't narrow the category or the buyer.

4. Fill the selling-point slots

The form accepts points in seven fixed shapes. Use the shapes verbatim; write 5–8 points:

  1. Unlike [competitor], X does [thing]
  2. A unique feature of X is [feature]
  3. X replaces [tool]
  4. Only X does [thing], by [how]
  5. X does [thing] better than [alternative]
  6. Where [competitor] does [X], X does [Y]
  7. X is the only [category] that does [thing]

Rules: every competitor named must have come out of step 2. A slot you can't source gets skipped, not faked — slots 4 and 7 assert category-wide absence and are the easiest to falsify (FACTCHECK rule 5: downgrade to slot 2 when unsure). Lead with the differentiation slots (1, 4, 6, 7); feature-breadth slots carry the tail.

Show full SKILL.md (360 more words)Show less
5. Keywords, competitor brands, own brands
  • keywords (~10): lowercase, phrased the way buyers type in Reddit posts — category terms, pain phrasings, and <competitor> alternative forms.
  • competitorBrands: lowercase brand tokens from step 2 only.
  • ownBrands: the product name plus any parent brand.

Gotcha: matching runs on your domain + competitors + keywords. Buyer language beats internal product language every time — "cold email deliverability", not "multi-channel orchestration".

6. Suggest tracked subreddits

Five, plus a swap-candidates list of ~5 more. Buyer rooms over practitioner rooms: where the buyer complains about the problem, then the business layer around them, local subs only if geography matters.

Never assert a sub's rules, size, or gate you haven't checked, and never invent a sub name — verify each exists (fetch reddit.com/r/<name> or search it) or cut it.

Gotcha: this field is the one-shot. The suggestion pass at onboarding never re-runs. This step justifies the whole research pass — do not pad it with plausible-sounding subs.

7. Assemble and save the artifact

Copy the structure of TEMPLATE.md (this directory) to a per-company folder, e.g.:

workspaces/<domain-slug>/offer-pack.md
workspaces/<domain-slug>/clearbox-offer.json

The JSON mirrors the offer record behind the form: name, description (the one-liner and selling points serialized into one string, "<Name> - <tag>\n\nOne-liner: ...\n\nSelling points:\n- ..."), keywords[], competitorBrands[], ownBrands[], trackedSubreddits[], domains[]. Validate with jq .. Keep real client workspaces out of any public repo.

8. Hand over the paste block

Run the FACTCHECK "Before paste" checklist. Then give the user the paste blocks as plain text (no markdown emphasis — on macOS, pipe through pbcopy) and say where they go: "Paste into the clearbox.to onboarding form, field by field. Read the sources first."

Never

  • Never submit to any API or database on the user's behalf. Paste-only.
  • Never invent a subreddit or a competitor brand.
  • Never pad the selling points to hit a count; 5 sourced beats 8 with filler.
  • Never let a template slot force a false claim; skip the slot instead.
  • Style rules for all prose fields: no em-dashes, no hedge words, state claims directly.
  • FACTCHECK.md — the gate (this directory)
  • TEMPLATE.md — the artifact skeleton (this directory)
  • PROMPT.md — the standalone pastable version of this skill for any coding agent
  • ../reddit-onboard/ — what happens after the account exists
  • https://github.com/shawnla90/ClearboxGTM/blob/main/playbooks/how-to-win-on-reddit.md — the method this feeds

© shawnla90, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in skills/clearbox-onboard of shawnla90/gtm-coding-agent.

  • SKILL.md
  • FACTCHECK.md
  • PROMPT.md
  • TEMPLATE.md

Open the folder on GitHubat commit 072c185

Compare with similar skills

Clearbox Onboard 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.

Clearbox Onboard compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Clearbox Onboard this skillshawnla90/gtm-coding-agent155—~1.7kAutomated safety check: PassMIT
Customer ResearchNexus-JPF/note-companion8706 repos~3.2kAutomated safety check: PassMIT
Paid Ads AuditAgriciDaniel/claude-ads9.9k—~1.5kAutomated safety check: PassMIT
Influencer Discoverytigerless-labs/influencer-discovery212—~2.5kAutomated safety check: NotesNone
Bggg Data Redditbinggandata/bggg-skills605—~1.2kAutomated safety check: PassMIT
Comment MiningScrapeCreators/social-media-research-skills3.4k—~1kAutomated safety check: NotesMIT

Similar skills

  • Customer Research

    Nexus-JPF/note-companion

    When the user wants to conduct, analyze, or synthesize customer research.

    870 GitHub starsUsed in 6 repos~3.2k tokens
    Marketing & SEOAuto-check passed
  • Paid Ads Audit

    AgriciDaniel/claude-ads

    Runs a source-grounded paid advertising audit across up to 12 ad platforms, with parallel platform workers, deterministic scoring and a versioned JSON bundle.

    9.9k GitHub stars~1.5k tokensUpdated 3 days ago
    Marketing & SEOAuto-check passed
  • Influencer Discovery

    tigerless-labs/influencer-discovery

    Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.

    212 GitHub stars~2.5k tokensUpdated 18 days ago
    Marketing & SEOAuto-check: notes
  • Bggg Data Reddit

    binggandata/bggg-skills

    Collect auditable Reddit search results and full comment trees at scale, preserve the source JSON, and normalize posts and comments into analysis-ready JSONL.

    605 GitHub stars~1.2k tokensUpdated 1 mo ago
    Marketing & SEOAuto-check passed
  • Comment Mining

    ScrapeCreators/social-media-research-skills

    A skill your agent uses when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or…

    3.4k GitHub stars~1k tokensUpdated 1 mo ago
    Marketing & SEOAuto-check: notes
  • Reddit Insights

    BrianRWagner/ai-marketing-claude-code-skills

    Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server.

    441 GitHub starsUsed in 1 repo~3.1k tokens
    Marketing & SEOAuto-check passed

More from shawnla90/gtm-coding-agent

  • Podcast Shorts

    shawnla90/gtm-coding-agent

    Turn a raw podcast or interview recording into captioned vertical shorts staged as Buffer drafts.

    155 GitHub stars~1.3k tokensUpdated 1 mo ago
    Auto-check passed
  • Reddit Onboard

    shawnla90/gtm-coding-agent

    Build a personalized Reddit onboarding doc for a new Clearbox signup or client, grounded in their real product data, and push it to Notion.

    155 GitHub stars~1.4k tokensUpdated 1 mo ago
    Auto-check: notes
  • Reply Engine

    shawnla90/gtm-coding-agent

    Batch-draft one suggested Reddit reply template per classified opportunity, hard-gated.

    155 GitHub stars~1.8k tokensUpdated 1 mo ago
    Auto-check passed
  • Reddit Agency

    shawnla90/gtm-coding-agent

    The agency motion for a Reddit-led visibility offer. An agent skill from shawnla90/gtm-coding-agent.

    155 GitHub stars~3.1k tokensUpdated 1 mo ago
    Auto-check passed
  • Reddit Engage

    shawnla90/gtm-coding-agent

    Draft and approve Reddit comments from scouted opportunities with a hard human-in-the-loop gate.

    155 GitHub stars~794 tokensUpdated 1 mo ago
    Auto-check passed
  • Student Gtm

    shawnla90/gtm-coding-agent

    Scaffold a student's own GTM repo and run the weekly build-in-public loop that turns a coding agent into a public go-to-market track record.

    155 GitHub stars~4.2k tokensUpdated 1 mo ago
    Auto-check: notes

Works with

Categories

Questions about Clearbox Onboard

What does Clearbox Onboard do?

Turn a website domain into a complete Clearbox offer pack — one-liner, selling points in the form's fixed template shapes, keywords, competitor brands, own brands, and suggested tracked subreddits —…. Clearbox Onboard is an agent skill from shawnla90/gtm-coding-agent.to onboarding form.

When should I use Clearbox Onboard?

Clearbox Onboard fits situations like: the user says clearbox onboard <domain; /clearbox-onboard; build a clearbox offer pack for <company; write my clearbox onboarding.

How do I install Clearbox Onboard in Claude Code?

Run `npx skills add shawnla90/gtm-coding-agent --skill clearbox-onboard -a claude-code`. Or copy the skill folder (skills/clearbox-onboard in shawnla90/gtm-coding-agent) into .claude/skills/clearbox-onboard in your project. Claude Code loads it when a task matches its description.

How do I install Clearbox Onboard in Codex?

Run `npx skills add shawnla90/gtm-coding-agent --skill clearbox-onboard -a codex`. Or copy the skill folder (skills/clearbox-onboard in shawnla90/gtm-coding-agent) into .agents/skills/clearbox-onboard in your project. Codex loads it when a task matches its description.

Can I use Clearbox Onboard 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 shawnla90/gtm-coding-agent --skill clearbox-onboard -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clearbox-onboard, .gemini/skills/clearbox-onboard, .github/skills/clearbox-onboard and .opencode/skills/clearbox-onboard in your project.

What does Clearbox Onboard need to run?

Going by SKILL.md and its folder, Clearbox Onboard needs the command-line tools its instructions call (jq).

Does Clearbox Onboard access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Clearbox Onboard 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 Clearbox Onboard use?

Clearbox Onboard 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 Clearbox Onboard use?

About 1.7k tokens (SKILL.md is roughly 7k 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 Clearbox Onboard?

Skills that share tags, products or a category with Clearbox Onboard: Customer Research (Nexus-JPF/note-companion, 870 stars), Paid Ads Audit (AgriciDaniel/claude-ads, 9.9k stars), Influencer Discovery (tigerless-labs/influencer-discovery, 212 stars) and Bggg Data Reddit (binggandata/bggg-skills, 605 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Clearbox Onboard?

shawnla90 (a GitHub user) maintains it in shawnla90/gtm-coding-agent, which has 155 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on September 2, 2026.

Source: shawnla90/gtm-coding-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.