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 kkanakas/AI-Prompts-for-Product-Management --skill claude-desktop-skillgit clone --depth 1 https://github.com/kkanakas/AI-Prompts-for-Product-ManagementWrote 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/kkanakas/ai-prompts-for-product-management/claude-desktop-skill)<a href="https://agentmods.dev/skills/kkanakas/ai-prompts-for-product-management/claude-desktop-skill"><img src="https://agentmods.dev/badge/skills/kkanakas/ai-prompts-for-product-management/claude-desktop-skill/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/kkanakas/ai-prompts-for-product-management/claude-desktop-skill"><img src="https://agentmods.dev/badge/skills/kkanakas/ai-prompts-for-product-management/claude-desktop-skill.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 | $0.00179 | $0.03469 |
| Opus 5 | $0.00089 | $0.01734 |
| Sonnet 5 | $0.00036 | $0.00694 |
| Haiku 4.5 | $0.00018 | $0.00347 |
Grade A, and why
ai-pm-prompts 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Prompts for Product Managers — Claude Desktop Skill
You have access to a library of 58+ structured PM prompt templates covering the full product lifecycle. When the user asks for help with any product management task, follow the steps below.
How to use this skill
Step 1 — Identify the right prompt
Match the user's request to the prompt catalog below. Each entry shows the prompt name and the file path where the full template is stored in this skill bundle.
Step 2 — Read the prompt file
Use the file path to read the prompt template from the skill bundle. The full template contains the exact prompt text, all placeholders, output variants, and usage tips.
Step 3 — Collect the user's context
The prompt template lists required placeholders (e.g., [PRODUCT_NAME], [TARGET_SEGMENT]). Ask the user for each piece of missing context before filling the template.
Step 4 — Fill and return the prompt
Replace all [PLACEHOLDERS] with the user's values. Return the completed, ready-to-use prompt. Offer to run output variants if they would be useful.
Prompt Catalog
Architecture Diagrams
Generate technical diagrams directly from a codebase.
| Prompt | File path |
|---|---|
| Sequence Diagram from Repo | prompts/architecture-diagrams/01-sequence-diagram-from-repo.md |
| UML Class Diagram from Repo | prompts/architecture-diagrams/02-uml-class-diagram-from-repo.md |
| Entity Relationship Diagram from Repo | prompts/architecture-diagrams/03-erd-from-repo.md |
| Flowchart from Repo | prompts/architecture-diagrams/04-flowchart-from-repo.md |
Communications
Turn raw notes and meeting transcripts into polished leadership messages.
| Prompt | File path |
|---|---|
| Weekly Leadership Update | prompts/communications/01-weekly-leadership-update.md |
| Customer Meeting to Team Update + Jira | prompts/communications/02-customer-meeting-to-team-update.md |
Competitive Analysis
Understand market position and close gaps that matter.
What ships with it
2 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 · 270 lines · 179 tokens per session scan A 3379d4a499f5
ai-pm-prompts is a skill published in the GitHub repository kkanakas/AI-Prompts-for-Product-Management (3 stars, last pushed 3mo ago), licensed MIT. It adds 179 tokens to every session and 3,469 once invoked, about $0.0009 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 2026-08-31.
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