Agent skill

Jtbd Extraction

by itseffi in itseffi/agentic-os

Analyze interviews using Jobs to Be Done framework. An agent skill from itseffi/agentic-os.

MITAuto-check passedProduct & Project Management

Install Jtbd Extraction

skills CLI
$ npx skills add itseffi/agentic-os --skill jtbd-extraction -a claude-code

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

GitHub CLI
$ gh skill install itseffi/agentic-os jtbd-extraction --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/itseffi/agentic-os.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/jtbd-extraction .claude/skills/jtbd-extraction && 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
jtbd-extraction
GitHub stars
115
Used in
1 other repo
Token cost
~411 tokens
SKILL.md length
194 words
Files
2
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Analyze interviews using Jobs to Be Done framework. An agent skill from itseffi/agentic-os.

  • Works in 4 steps: Read the transcript looking for moments… → Extract statements for each force → Capture context → …
  • Tasks that involve User stories
  • SKILL.md covers When to Use, The Framework, The Process and Output Format, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jtbd Extraction is an agent skill from itseffi/agentic-os. Analyze interviews using Jobs to Be Done framework. Extract push, pull, anxiety, and habit forces.

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Product & Project Management, covering User stories. The repository describes itself as: Agentic personal OS to automate high-leverage workflows with Codex, Claude Code, Pi, OpenClaw and other coding agents/ runtime platforms. The licence is MIT.

When your agent uses it

  • Tasks that involve User stories

Example prompts

  • “/jtbd-extraction”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read the transcript looking for moments of change or decision
  2. Extract statements for each force
  3. Capture context
  4. Synthesize insights

What it can do on your machine

Read from SKILL.md and the folder at commit e54d0ac. 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

Jtbd Extraction loads about 411 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 194 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~411

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 itseffi/agentic-os at commit e54d0ac, republished under its MIT licence (© itseffi). 194 words, ~411 tokens.

Download SKILL.mdSave it as .claude/skills/jtbd-extraction/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
jtbd-extraction
description
Analyze interviews using Jobs to Be Done framework. Extract push, pull, anxiety, and habit forces.

JTBD Extraction from Interviews

Analyze interview transcripts using the Jobs to Be Done framework to understand why people make changes.

When to Use

When analyzing customer interviews to understand decision-making and switching behavior.

The Framework

JTBD breaks decisions into four forces:

ForceWhat it capturesHow to phrase
PushesPain with current situation"When..." statements
PullsDesired outcomes"So I can..." or "So I don't..."
HabitsComfort with status quo"When..." (positive aspects)
AnxietiesFears about changeQuestions or concerns

The Process

  1. Read the transcript looking for moments of change or decision

  2. Extract statements for each force:

    • Pushes: "When I'm not listened to..."
    • Pulls: "So I can work with someone who trusts me..."
    • Habits: "When I really like my current community..."
    • Anxieties: "Can this really be fixed?"
  3. Capture context:

    • Current situation
    • Job/role
    • Key challenges
  4. Synthesize insights:

    • What's driving potential change?
    • What's holding them back?
    • What outcome do they really want?

Output Format

Provide:

  • Context summary
  • Pushes (list)
  • Pulls (list)
  • Habits (list)
  • Anxieties (list)
  • Key insights about decision-making

When Not to Use

Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.

© itseffi, 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 1 other file in .agents/skills/jtbd-extraction of itseffi/agentic-os.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit e54d0ac

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in itseffi/agentic-os, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Jtbd Extraction 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.

Jtbd Extraction compared with similar skills
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Jtbd Extraction this skillitseffi/agentic-os1151 repos~411Automated safety check: PassMIT
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Ralph Tui Create Beadssubsy/ralph-tui2.5k1 repos~2.6kAutomated safety check: PassMIT
Agile Product Owneralirezarezvani/claude-skills28k3 repos~3.2kAutomated safety check: PassMIT
Ralph Tui Create Beads Rustsubsy/ralph-tui2.5k1 repos~2.8kAutomated safety check: PassMIT
To Specbestofjs/bestofjs3.1k22 repos~757Automated safety check: PassMIT

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Questions about Jtbd Extraction

What does Jtbd Extraction do?

Analyze interviews using Jobs to Be Done framework. An agent skill from itseffi/agentic-os. Jtbd Extraction is an agent skill from itseffi/agentic-os. Analyze interviews using Jobs to Be Done framework.

When should I use Jtbd Extraction?

Jtbd Extraction fits situations like: tasks that involve User stories.

How do I install Jtbd Extraction in Claude Code?

Run `npx skills add itseffi/agentic-os --skill jtbd-extraction -a claude-code`. Or copy the skill folder (.agents/skills/jtbd-extraction in itseffi/agentic-os) into .claude/skills/jtbd-extraction in your project. Claude Code loads it when a task matches its description.

How do I install Jtbd Extraction in Codex?

Run `npx skills add itseffi/agentic-os --skill jtbd-extraction -a codex`. Or copy the skill folder (.agents/skills/jtbd-extraction in itseffi/agentic-os) into .agents/skills/jtbd-extraction in your project. Codex loads it when a task matches its description.

Can I use Jtbd Extraction 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 itseffi/agentic-os --skill jtbd-extraction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jtbd-extraction, .gemini/skills/jtbd-extraction, .github/skills/jtbd-extraction and .opencode/skills/jtbd-extraction in your project.

What does Jtbd Extraction need to run?

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

Does Jtbd Extraction 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 Jtbd Extraction 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 Jtbd Extraction use?

Jtbd Extraction 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 Jtbd Extraction use?

About 411 tokens (SKILL.md is roughly 1.6k 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 Jtbd Extraction?

Skills that share tags, products or a category with Jtbd Extraction: User Story Writer (deanpeters/Product-Manager-Skills, 7.2k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Agile Product Owner (alirezarezvani/claude-skills, 28k stars) and Ralph Tui Create Beads Rust (subsy/ralph-tui, 2.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jtbd Extraction?

itseffi (a GitHub user) maintains it in itseffi/agentic-os, which has 115 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 7, 2026.

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