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Install in OpenClaw
/install product-opportunity-research
Description
Use when conducting deep product opportunity research or feature prioritization. 6 specialized agents (User JTBD, Workflow, Tech Feasibility, System Integrat...
Usage Guidance
This skill appears coherent and low‑risk: it’s an instruction‑only multi‑agent framework with no installs, no required creds, and internal reference files. Before installing: 1) consider provenance — the package has no homepage or author/contact details (owner ID only), so verify you trust the publisher; 2) avoid feeding sensitive/proprietary data into the skill unless you trust its origin and retention policy; 3) run initial tests on public or synthetic prompts to validate outputs and check for hallucinations or unexpected behavior; 4) if you prefer tighter control, disable autonomous invocation for agents or require explicit user approval before each run. If you need deeper assurance, ask the publisher for a README/license or a verifiable homepage/source repository.
Capability Analysis
Type: OpenClaw Skill
Name: product-opportunity-research
Version: 1.0.0
The skill bundle defines a structured multi-agent framework for conducting product opportunity research. It uses complex prompt engineering to orchestrate six specialized AI personas (User JTBD, Tech Feasibility, Business, etc.) through a four-phase analytical workflow. The instructions in SKILL.md and the reference files (agent-definitions.md, scoring-framework.md, etc.) are focused entirely on logical analysis, conflict resolution between agents, and structured reporting. There are no indicators of data exfiltration, malicious command execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description (deep product opportunity research using six specialized agents) align with the provided artifacts: SKILL.md plus six reference docs define agent roles, phases, scoring, and outputs. There are no unexplained required binaries, environment variables, or config paths.
Instruction Scope
SKILL.md contains detailed, self‑contained instructions for running the 6 agents and producing deliverables. It does not instruct the agent to read unrelated system files, environment variables, or contact external endpoints beyond the workflow described. All file references are to included reference docs.
Install Mechanism
No install spec and no code files: instruction‑only skill. This minimizes disk writes and arbitrary code execution risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. There is no disproportionate or unrelated secret access requested.
Persistence & Privilege
Flags show default behavior (always: false, model invocation allowed). Autonomous invocation is allowed by platform default (not a red flag here), and the skill does not request permanent presence or modify other skills. If you are concerned about autonomous runs, you can restrict agent permissions or disable autonomous invocation in your agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install product-opportunity-research - After installation, invoke the skill by name or use
/product-opportunity-research - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of product-opportunity-research 1.0.0:
- Introduces a multi-agent framework with 6 specialized agents (User JTBD, Workflow, Tech Feasibility, System Integration, Compliance, Business) for deep product opportunity analysis.
- Structured workflow includes independent analysis, cross-examination for conflicts, and orchestrator-led prioritization and decision-making.
- Produces opportunity maps, prioritized lists, detailed product roadmaps, validation plans, and business packaging strategies.
- Clear phase definitions and output standards, including scenario breakdowns and a 10-section structured final report.
- Designed for market, opportunity, and product strategy research requiring comprehensive multi-perspective evaluation.
Metadata
Frequently Asked Questions
What is Product Opportunity Research?
Use when conducting deep product opportunity research or feature prioritization. 6 specialized agents (User JTBD, Workflow, Tech Feasibility, System Integrat... It is an AI Agent Skill for Claude Code / OpenClaw, with 223 downloads so far.
How do I install Product Opportunity Research?
Run "/install product-opportunity-research" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Product Opportunity Research free?
Yes, Product Opportunity Research is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Product Opportunity Research support?
Product Opportunity Research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Product Opportunity Research?
It is built and maintained by Joe-rq (@joe-rq); the current version is v1.0.0.
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