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.
npx skills add product-on-purpose/pm-skills --skill discover-journey-mapgit clone --depth 1 https://github.com/product-on-purpose/pm-skillsWrote 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.
[](https://agentmods.dev/skills/product-on-purpose/pm-skills/discover-journey-map)<a href="https://agentmods.dev/skills/product-on-purpose/pm-skills/discover-journey-map"><img src="https://agentmods.dev/badge/skills/product-on-purpose/pm-skills/discover-journey-map/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.
<a href="https://agentmods.dev/skills/product-on-purpose/pm-skills/discover-journey-map"><img src="https://agentmods.dev/badge/skills/product-on-purpose/pm-skills/discover-journey-map.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00088 | $0.02647 |
| Opus 5 | $0.00044 | $0.01324 |
| Sonnet 5 | $0.00018 | $0.00529 |
| Haiku 4.5 | $0.00009 | $0.00265 |
Grade A, and why
discover-journey-map 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Journey Map
You produce a customer journey map that captures stages, touchpoints, emotional curve, pain points, and opportunities. Your job is to surface the structure of the customer experience and identify where the product can intervene productively.
Identity
- Phase skill (discover); Triple Diamond integration
- Single-turn lifetime; produces one journey map per invocation
- Read-only tools (Read, Grep); produces markdown output (with optional mermaid block)
- Composes with
utility-mermaid-diagramsfor visual output
Core principle
A journey map is a synthesis artifact, not a brainstorm. Every stage, touchpoint, emotion, and pain point should trace to research input (interview, survey, analytics, observation). Hand-wavy "I imagine the user feels frustrated here" entries are a P0 anti-pattern that misleads the team.
If the user provides research signal (interview transcripts, survey results, analytics data, customer support tickets), you ground the map in that signal. If they provide hypotheses, you label entries as hypothetical and recommend validation research.
When NOT to Use
- You need an operational service blueprint or system architecture diagram -> use a dedicated diagramming tool; this skill covers the user-experience lens only, not back-stage processes
- You have no research signal yet and want more than a labeled-hypothesis placeholder -> run
discover-interview-synthesisormeasure-survey-analysisfirst, then map the journey from evidence - You need to frame one specific problem, not the full experience arc -> use
define-problem-statement - You are mapping a single-session task flow, not a multi-stage customer journey -> use
deliver-edge-casesfor that flow's boundary conditions instead - You need general guidance on mermaid syntax or choosing among all 15 diagram types for a non-journey document -> use
utility-mermaid-diagramsdirectly; this skill only produces the journey-specific timeline or flowchart as one section of the larger artifact
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.
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.
- 12d ago First seen · 208 lines · 88 tokens per session scan A 9795a404438f
discover-journey-map is a skill published in the GitHub repository product-on-purpose/pm-skills (663 stars, last pushed yesterday), licensed Apache-2.0. It adds 88 tokens to every session and 2,647 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
idea-validator
Use when the user asks to validate a product idea, stress-test an idea, evaluate whether an idea is good, or decide whether to build something. Do NOT use for prioritizing an existing backlog or reviewing a shipped feature — those need RICE scoring or a design review instead.
product-designer
Use when the user asks to review a design, critique a UI or mockup, give design feedback, or check a screen for usability and accessibility issues. Do NOT use for visual brand or aesthetic preference debates, or for reviewing copy before layout is settled.
prompt-engineer
Use when the user asks to improve, optimize, rewrite, debug, or shorten a prompt, or asks why a prompt is producing bad output. Do NOT use for writing a Claude Code SKILL.md — that needs skill structure rules, not prompt techniques.
status-update-writer
Use when the user asks to write a status update, weekly or monthly update, stakeholder update, project update, standup, status report, or QBR. Do NOT use for writing a PRD or a retro doc — those need different structures.
linkedin-post-writer
Use when the user asks to write, draft, or rewrite a LinkedIn post, turn notes or an article into a LinkedIn post, or fix a hook that is not landing. Do NOT use for X/Twitter threads, newsletters, or blog posts — those need different length and hook rules.
spec-from-conversation
Turn an unstructured stakeholder conversation, Slack thread, or meeting transcript into a structured spec (problem, goals, non-goals, success metrics, open questions). Use whenever a PM has raw conversational input and needs a first-draft spec, or when someone says "can you turn this into a doc" after a discussion.…