define-jtbd-canvas

define-jtbd-canvas is a skill for Claude Code, Codex from yuusakuri/agent-skills. It costs 45 tokens per session (912 once invoked), scanned A, a copy of define-jtbd-canvas, MIT.

A Jobs to be Done canvas, a framework for understanding the progress customers are trying to make when they choose a product. It records the practical, emotional, and social reasons behind that choice.

In plain words
What is it for?
Use it to study customer motivations, guide product positioning, support competitive analysis, and align a team on the customer need.
Why use it?
It helps teams understand customer motivation more deeply than basic demographic profiles or feature lists. This can clarify what customers really need and why they change products.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to study customer motivations, guide product positioning, support competitive analysis, and align a team on the customer need.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yuusakuri/agent-skills/define-jtbd-canvas
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add yuusakuri/agent-skills --skill define-jtbd-canvas
Clone the repo
git clone --depth 1 https://github.com/yuusakuri/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for define-jtbd-canvas

README.md
[![agentmods](https://agentmods.dev/badge/skills/yuusakuri/agent-skills/define-jtbd-canvas/github.svg)](https://agentmods.dev/skills/yuusakuri/agent-skills/define-jtbd-canvas)
Your own site
<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/define-jtbd-canvas"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/define-jtbd-canvas/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for define-jtbd-canvas

Your own site · 80×15
<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/define-jtbd-canvas"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/define-jtbd-canvas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 912 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.00912
Opus 5 $0.00023 $0.00456
Sonnet 5 $0.00009 $0.00182
Haiku 4.5 $0.00005 $0.00091

Measured 10d ago against content hash db2dc53c75a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

define-jtbd-canvas scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to define-jtbd-canvas — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/define-jtbd-canvas/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Jobs to be Done Canvas

A Jobs to be Done (JTBD) canvas captures the complete picture of why customers "hire" products to make progress in their lives. Based on Clayton Christensen's framework, JTBD goes beyond features and demographics to understand the underlying motivations.functional, emotional, and social.that drive customer behavior.

When to Use

  • When deeply researching customer motivations before building
  • To reframe product positioning around customer progress
  • When existing personas feel too surface-level or demographic
  • During competitive analysis to identify why customers switch
  • When designing marketing messages that resonate
  • To align team on who the customer really is and what they need

When NOT to Use

  • You need a person-shaped artifact (goals, behaviors, quotes) for design or marketing work -> use user-personas; the canvas captures the job, the persona captures the person
  • You have no customer research yet -> synthesize interviews first with discover-interview-synthesis; the canvas's insights must trace to research, not assumptions
  • You are framing one specific problem to solve now -> use define-problem-statement
  • You need to map opportunities to a measurable outcome for prioritization -> use define-opportunity-tree

Instructions

When asked to create a JTBD canvas, follow these steps:

  1. Identify the Job Performer Define who is doing this job. Go beyond demographics to capture the circumstance they're in. The same person can have different jobs in different situations.

  2. Articulate the Circumstance Describe when and where this job arises. Jobs are triggered by specific situations. Understanding context helps predict when customers will seek a solution.

  3. Write the Job Statement Use the format: "When [situation], I want to [motivation], so I can [desired outcome]." The job statement captures the core progress the customer seeks.

Read the full file on GitHub · 80 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 80 lines · 45 tokens per session scan A db2dc53c75a1

Subscribe to this mod's changes

define-jtbd-canvas is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 4d ago), licensed MIT. It adds 45 tokens to every session and 912 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to define-jtbd-canvas, differing in 12 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens