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Idea Forge: Turn Ideas into Product Specs
Turn rough product ideas into scoped requirements, explicit assumptions and testable acceptance criteria.
$5
Idea Forge: Turn Ideas into Product Specs
Example session with this skill installed
I want to build a simple habit tracker app. I need an MVP PRD and the data model. I'll use React and Supabase. Core feature is just logging a habit once a day.
- Read your context and instructions
- Compiled the idea forge
I have analyzed your habit tracker concept. Based on your React/Supabase stack, I have defined the MVP scope, focusing on a single daily log entry to minimize complexity.
Habit Tracker MVP PRD
Product Concept
A minimalist habit tracking application allowing users to define daily goals and record completion with a single action.
Assumptions Register
| Assumption | Reason | Confidence | Impact | Validation |
|---|---|---|---|---|
| Single timezone | Simplifies MVP logic | High | Low | Confirm user location needs |
| Daily reset | Core value prop | High | High | User feedback |
MoSCoW Prioritization
- Must-Have: User authentication (Supabase Auth), Create/Delete habits, Daily check-in toggle.
- Should-Have: Streak counters, simple progress visualization.
- Could-Have: Push notifications, categories.
- Out-of-Scope: Social sharing, historical data export.
Data Model
-- Habits Table
Table habits {
id uuid [pk, default: `uuid_generate_v4()`]
user_id uuid [ref: > users.id]
name varchar
created_at timestamp
}
-- Completions Table
Table completions {
id uuid [pk]
habit_id uuid [ref: > habits.id]
completed_at date [note: 'Stored as date to prevent multiple logs per day']
Indexes {
(habit_id, completed_at) [unique]
}
}
User Stories
US-01 | Priority: High | Role: User
- Capability: I want to mark a habit as done for the current day.
- Value: To track my consistency and build momentum.
- Acceptance Criteria:
- Given I am logged in and have an active habit.
- When I click the completion toggle.
- Then the system records the entry for today's date.
Next steps
- Review the data model unique constraints for daily logs.
- Confirm if you need historical editing (logging for yesterday).
- Initialize the Supabase schema using the provided SQL structure.
Connects securely to your tools. The creator never sees your data.
About this skill
Idea Forge is a single instruction skill for an AI agent that can read SKILL.md and work with user-supplied context. Place the skill in your agent's documented skill location after checking its format requirements. Installation compatibility has not been tested.
The instructions guide the agent through a structured review or planning workflow. This draft package contains the skill document, not a standalone application. Its source marks the release as NOT READY FOR RELEASE.
The problem
Unstructured requests can hide missing requirements, weak evidence and unsafe assumptions. This skill specifies what the agent should examine, how to report uncertainty and what the output should contain.
What you get
| Part | Included |
|---|---|
| Instruction skill | 1 SKILL.md |
| Bundled scripts | 0 |
| Reference files | 0 |
| Plugin manifest | None found |
| License | Not supplied |
How it works
The agent follows the instructions using its own available tools. The package does not supply an executable engine. Every conclusion still needs evidence from the user's input.
Uses
Draft a compact MVP PRD. Request a focused deliverable with evidence and stated limitations. Try: "Draft a compact MVP PRD for the supplied input. State assumptions and identify what needs verification."
Expand a full specification. Request a focused deliverable with evidence and stated limitations. Try: "Expand a full specification for the supplied input. State assumptions and identify what needs verification."
Write technical requirements. Request a focused deliverable with evidence and stated limitations. Try: "Write technical requirements for the supplied input. State assumptions and identify what needs verification."
Review an existing PRD. Request a focused deliverable with evidence and stated limitations. Try: "Review an existing PRD for the supplied input. State assumptions and identify what needs verification."
Update requirement identifiers. Request a focused deliverable with evidence and stated limitations. Try: "Update requirement identifiers for the supplied input. State assumptions and identify what needs verification."
Maintain an assumptions register. Request a focused deliverable with evidence and stated limitations. Try: "Maintain an assumptions register for the supplied input. State assumptions and identify what needs verification."
Define Given/When/Then criteria. Request a focused deliverable with evidence and stated limitations. Try: "Define Given/When/Then criteria for the supplied input. State assumptions and identify what needs verification."
Plan delivery phases. Request a focused deliverable with evidence and stated limitations. Try: "Plan delivery phases for the supplied input. State assumptions and identify what needs verification."
Guardrails
Do not claim tests passed, changes were applied or external actions completed without evidence. Review permissions and uncertainty before acting. The underlying agent determines actual access and data handling.
Who it is for
People who want structured assistance for this domain and can review the result. The current draft is not for buyers expecting tested software, a complete command-line tool or verified platform integrations.
Safe handling
Only provide inputs you are authorized to process. The package has no bundled executable scripts, network client or credentials. This does not make the host AI agent offline: its provider and tool settings determine how data is processed.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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