Agent skill

Hypothesis Building

by extruct-ai in extruct-ai/gtm-skills

Generate testable pain hypotheses from the company context file (ICP, win cases, product knowledge) and user input.

No licenceAuto-check passedMarketing & SEO

Install Hypothesis Building

skills CLI
$ npx skills add extruct-ai/gtm-skills --skill hypothesis-building -a claude-code

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

GitHub CLI
$ gh skill install extruct-ai/gtm-skills hypothesis-building --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/extruct-ai/gtm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hypothesis-building .claude/skills/hypothesis-building && 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
hypothesis-building
GitHub stars
109
Token cost
~1.5k tokens
SKILL.md length
676 words
Files
1
Skills in repo
20
Repo updated
First seen
Licence
None found

At a glance

Generate testable pain hypotheses from the company context file (ICP, win cases, product knowledge) and user input.

  • Works in 6 steps: Read context file → Gather vertical context from user → Extract patterns from win cases → …
  • : build hypotheses
  • SKILL.md covers When to Use, Inputs, Output and Workflow, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hypothesis Building is an agent skill from extruct-ai/gtm-skills. Generate testable pain hypotheses from the company context file (ICP, win cases, product knowledge) and user input. Fast, no API keys needed — pure reasoning. Outputs a hypothesis set with search angles that directly guide list-building queries. Sits between context-building and list-building. Triggers on: "build hypotheses", "hypothesis set", "pain hypotheses", "define hypotheses", "what pain points", "campaign angles", "search angles", "refine hypotheses".

Its SKILL.md is about 1.5k 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 Marketing & SEO.

When your agent uses it

  • : build hypotheses
  • Pain hypotheses
  • Define hypotheses
  • What pain points

Example prompts

  • “build hypotheses”
  • “hypothesis set”
  • “pain hypotheses”
  • “/hypothesis-building”

Workflow steps

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

  1. Read context file
  2. Gather vertical context from user
  3. Extract patterns from win cases
  4. Draft hypotheses
  5. Review with user
  6. Save

What it can do on your machine

Read from SKILL.md and the folder at commit 34406cb. 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 markdown).

    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

Hypothesis Building loads about 1.5k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 676 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
~1.5k

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 676 words (~1,548 tokens).

“Generate testable pain hypotheses from what you already know — ICP, win cases, product value prop, and user knowledge of the target vertical. No API keys, no external research. Pure reasoning from context + conversation.”

— opening of SKILL.md by extruct-ai
name
hypothesis-building

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/hypothesis-building of extruct-ai/gtm-skills.

Open the folder on GitHubat commit 34406cb

Compare with similar skills

Hypothesis Building 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.

Hypothesis Building compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hypothesis Building this skillextruct-ai/gtm-skills109—~1.5kAutomated safety check: PassNone
Geo Fundamentalswasp-lang/wasp19k9 repos~861Automated safety check: PassMIT
Ab Testingcoreyhaines31/marketingskills54k3 repos~2.8kAutomated safety check: PassMIT
Hreflang and International SEOAgriciDaniel/claude-seo18k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.4kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Hypothesis Building

What does Hypothesis Building do?

Generate testable pain hypotheses from the company context file (ICP, win cases, product knowledge) and user input. Hypothesis Building is an agent skill from extruct-ai/gtm-skills. Generate testable pain hypotheses from the company context file (ICP, win cases, product knowledge) and user input.

When should I use Hypothesis Building?

Hypothesis Building fits situations like: : build hypotheses; pain hypotheses; define hypotheses; what pain points.

How do I install Hypothesis Building in Claude Code?

Run `npx skills add extruct-ai/gtm-skills --skill hypothesis-building -a claude-code`. Or copy the skill folder (skills/hypothesis-building in extruct-ai/gtm-skills) into .claude/skills/hypothesis-building in your project. Claude Code loads it when a task matches its description.

How do I install Hypothesis Building in Codex?

Run `npx skills add extruct-ai/gtm-skills --skill hypothesis-building -a codex`. Or copy the skill folder (skills/hypothesis-building in extruct-ai/gtm-skills) into .agents/skills/hypothesis-building in your project. Codex loads it when a task matches its description.

Can I use Hypothesis Building 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 extruct-ai/gtm-skills --skill hypothesis-building -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hypothesis-building, .gemini/skills/hypothesis-building, .github/skills/hypothesis-building and .opencode/skills/hypothesis-building in your project.

What does Hypothesis Building need to run?

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

Does Hypothesis Building 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 Hypothesis Building 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 Hypothesis Building use?

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

How many tokens does Hypothesis Building use?

About 1.5k tokens (SKILL.md is roughly 6.2k 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 Hypothesis Building?

Skills that share tags, products or a category with Hypothesis Building: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 18k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hypothesis Building?

extruct-ai (a GitHub organization) maintains it in extruct-ai/gtm-skills, which has 109 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 28, 2026.

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