managing-product

managing-product is a skill for Claude Code from isvlasov/rageatc-oss. It costs 52 tokens per session (2,210 once invoked), scanned A, original, MIT.

A requirements-writing workflow that turns a software idea into a product requirements document, or PRD. A PRD states what to build, who it is for, what success means, and how requirements can be tested.

In plain words
What is it for?
Use it to define an MVP, identify target users, prioritise requirements, mark work as in or out of scope, and write testable user stories.
Why use it?
It resolves vague or incomplete requests before architecture and coding begin, reducing misunderstandings about the product's scope.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the rageatc-code-oss plugin — 21 skills, 5 agents, 1 hook shipped together

Good fit Use it to define an MVP, identify target users, prioritise requirements, mark work as in or out of scope, and write testable user stories.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/isvlasov/rageatc-oss/managing-product
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 isvlasov/rageatc-oss --skill managing-product
Clone the repo
git clone --depth 1 https://github.com/isvlasov/rageatc-oss

Made for: Claude Code.

Or install rageatc-code-oss, the plugin that ships this one along with the rest of its 21 skills, 5 agents, 1 hook.

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 managing-product

README.md
[![agentmods](https://agentmods.dev/badge/skills/isvlasov/rageatc-oss/managing-product/github.svg)](https://agentmods.dev/skills/isvlasov/rageatc-oss/managing-product)
Your own site
<a href="https://agentmods.dev/skills/isvlasov/rageatc-oss/managing-product"><img src="https://agentmods.dev/badge/skills/isvlasov/rageatc-oss/managing-product/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 managing-product

Your own site · 80×15
<a href="https://agentmods.dev/skills/isvlasov/rageatc-oss/managing-product"><img src="https://agentmods.dev/badge/skills/isvlasov/rageatc-oss/managing-product.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,210 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 original No closer match found 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 $0.00052 $0.02210
Opus 5 $0.00026 $0.01105
Sonnet 5 $0.00010 $0.00442
Haiku 4.5 $0.00005 $0.00221

Measured 12d ago against content hash 60936fbeb199, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

managing-product 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.

plugins/rageatc-code-oss/skills/managing-product/SKILL.md · 189 lines

How it starts

The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Managing Product

Defines what to build before any architecture or code: translates an understood idea into a structured, prioritised PRD that agents can execute against without ambiguity.

Position: understanding-the-ask (clarify problem) → solutioning (choose direction) → managing-product (define what to build) → architecting-software (design how).

Inputs: a clear problem statement, a chosen solution direction ("we will build software"), and the user's domain knowledge accessible through conversation.

Output: PRD.md with five essential elements — problem statement, target users, success criteria, scope (MoSCoW-prioritised plus explicit out-of-scope), and requirements as user stories with testable acceptance criteria.

Not covered: problem clarification or solution direction (upstream), technical architecture (architecting-software), chunk enrichment, roadmapping, sprint planning, rollout strategy.

Workflow

Step 1: Establish Starting Context

Check whether you already have a clear problem statement, an identified audience, and any stated constraints. If the user arrives with problem and audience clear (e.g. "I want to build a habit tracking app for myself"), confirm inline and proceed — upstream skills are not required. If either remains vague after confirmation, return to understanding-the-ask.

State what you understand so the user can correct it before extraction begins:

"Before we define what to build, let me confirm: we're solving [problem] for [user type]. Does that match your intent?"

Step 2: Extract Product Knowledge Through Structured Questioning

Pull out the five essential elements through focused, sequential questions — one at a time, never a form or a list of questions at once.

A. Target users (if not already clear):

  • "Who specifically will use this? Can you describe a typical person — their situation, what they're trying to do?"
  • "Is there more than one type of user with different needs, or mainly one audience?"

Read the full file on GitHub · 189 lines

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. 12d ago First seen · 189 lines · 52 tokens per session scan A 60936fbeb199

Subscribe to this mod's changes

managing-product is a skill published in the GitHub repository isvlasov/rageatc-oss (9 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 2,210 once invoked, about $0.0003 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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