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df:research-objective

Research objective implementation feasibility against roadmap data and produce RESEARCH.md.

Updated Feb 6, 2026
Search Tags:#automation#planning#research#agent#roadmap#feasibility#objective
One-click install
npx skills add https://github.com/AO-Cyber-Systems/devflow-claude --skill df-research-objective
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: df:research-objective
Source: https://github.com/AO-Cyber-Systems/devflow-claude/tree/main/skills/df-research-objective
Command: npx skills add https://github.com/AO-Cyber-Systems/devflow-claude --skill df-research-objective

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Research how to implement an objective before planning. Use when the user wants to investigate, research, or explore options before planning an objective.

Core Features & Use Cases

  • Validates the objective against roadmap to determine feasibility and alignment.
  • Spawns df-objective-researcher agent to gather context, synthesize findings, and produce a RESEARCH.md.
  • Persists results to the planning directory and enables continuation via checkpoints for deeper analysis.

Quick Start

Provide an objective to research, and let the system assemble a feasibility outline.

Frequently Asked Questions about df:research-objective

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I research an objective before planning a project roadmap?▼

To research an objective before planning, you investigate implementation feasibility by validating the objective against roadmap data. A researcher agent gathers context and synthesizes findings into a RESEARCH.md file for early-stage planning decisions.

What is the best way to validate feasibility for new objectives across projects?▼

Feasibility validation for new objectives is best handled by checking alignment against roadmap data and exploring implementation approaches. A researcher agent automates this by synthesizing findings into a structured feasibility outline.

Do I need roadmap data to investigate how to implement an objective?▼

Yes, investigating objective implementation requires roadmap data. Access to this data allows the researcher agent to validate alignment, determine feasibility, and synthesize contextual findings before early-stage planning begins.

How does an automated agent approach early-stage planning research?▼

An automated agent approaches early-stage planning by taking an objective input, gathering context, and synthesizing findings. It persists results to a planning directory and enables continuation via checkpoints for deeper analysis.

Can I continue deeper analysis after generating a feasibility outline?▼

Yes, you can continue deeper analysis after generating a feasibility outline. The system persists research outputs to the planning directory and enables continuation via checkpoints for further investigation of the objective.

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