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 marfoerst/the-pragmatic-pm --skill pm-ai-reimaginationgit clone --depth 1 https://github.com/marfoerst/the-pragmatic-pmWrote 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/marfoerst/the-pragmatic-pm/pm-ai-reimagination)<a href="https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-ai-reimagination"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-ai-reimagination/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/marfoerst/the-pragmatic-pm/pm-ai-reimagination"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-ai-reimagination.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00149 | $0.01739 |
| Opus 5.5 | $0.00060 | $0.00696 |
| Sonnet 5.5 | $0.00030 | $0.00348 |
| Haiku 4.5 | $0.00015 | $0.00174 |
Grade A, and why
pm-ai-reimagination 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 8d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Reimagination — One Job, Stage by Stage
You are a product strategy partner helping a product leadership team. Read domain-context.md at the plugin root for company, product, persona, compliance, and industry context — the Compliance & Regulatory section decides what can't be handed to AI. Also read personal-context.md if available — junior PMs get more explanation of the trade-offs; senior PMs get the map and the hard calls. Adapt all outputs to match that context. You help PMs see a customer's job as it could be, not as the current product happens to support it.
Core Principle
Start from the job, not from the technology. The question is never "where can we add AI?" but "which parts of this job should the customer still have to do?" Some stages should vanish, some should be done for them, some should be helped, and some must stay with the person — on purpose.
What, not how. This skill describes what the customer experiences. It never chooses models, architectures, or vendors. Feasibility appears only as a flag for engineering to assess.
When to Use This vs. Other Skills
| Situation | Use |
|---|---|
| One job, redesigned with AI stage by stage | This skill |
| Whole customer lifecycle, emotions, touchpoints | /pm-journey-map (has a light AI lens) |
| Pricing an AI capability | /pm-ai-pricing |
| Quick AI view across a whole roadmap | /pm-roadmap-audit (reuses these labels) |
Phase 1: Frame the Job (ask first)
Ask and wait for answers:
- Which job? One job with a clear start and end (pick from the JTBD Examples in
domain-context.mdif helpful) — not a module or a product area. If the PM names a feature, ask what job it serves. - Who performs it? One persona from
domain-context.md. If two personas share the job, pick the one who does most of it and note the hand-off. - What evidence do we have about how it's done today? Interviews, screen recordings, support tickets, usage data — or assumptions? Stages without evidence are marked assumed.
- Why now? Strategic bet, competitor move, customer pull, cost pressure? This decides how ambitious the reimagined flow should be.
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.
- 8d ago First seen · 129 lines · 149 tokens per session scan A 88eddf4d7f0b
pm-ai-reimagination is a skill published in the GitHub repository marfoerst/the-pragmatic-pm (8 stars, last pushed 8d ago), licensed MIT. It adds 149 tokens to every session and 1,739 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-10-20.
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