training-roi

name	training-roi
description	Recommends learning investments using a cost-benefit-time ROI analysis across certifications, degrees, bootcamps, and self-study. Invokes the honest-advisor agent in training-roi mode.
triggers	["training roi","learning roi","what should i learn next","is a bootcamp worth it","is a certification worth it","should i get a degree","upskilling plan","best training path for my target role"]

Invoke honest-advisor in training-roi mode to compare learning options and recommend the highest-ROI path for the user's target role.

Workflow

1. Confirm baseline context

Read:

• {user_dir}/CareerNavigator/profile.md
• {user_dir}/CareerNavigator/ExperienceLibrary.json

If target roles are missing:

"I need your target role(s) to run a training ROI analysis. Run /career-navigator:launch (or update CareerNavigator/profile.md) first."

If ExperienceLibrary units are missing/empty:

"I need your ExperienceLibrary to estimate learning ROI. Run /career-navigator:add-source to add a resume first."

Optionally read {user_dir}/CareerNavigator/tracker.json for confidence and bottleneck context.

2. Gather optional constraints

If not already provided in conversation, ask once:

"Do you want me to optimize for a specific budget and timeline? If yes, share your max budget and ideal timeline (for example: '$3k and 4 months')."

Proceed even if user does not provide constraints.

3. Invoke honest-advisor — training-roi mode

For each target role (or the explicitly requested role), hand off to honest-advisor with:

• analysis_mode: training-roi
• target_role_type
• target_level (if known/inferred)
• target_geography
• time_horizon_months (if provided; else default 12)
• budget_range (if provided)

Instruction:

• Compare certifications, degrees, bootcamps, and self-study.
• Produce a cost-benefit-time option matrix with ROI score.
• Recommend a primary path and fallback path.
• Include explicit assumptions and data gaps.

4. Present the recommendation engine output

Render as:

**Training ROI Analysis** — {Target Role}
Time horizon: {n months}
Budget: {value or "not provided"}
Confidence: {Preliminary / Directional / Moderate / High}

Top capability gaps
1. ...
2. ...

Option matrix (cost-benefit-time)
| Path | Type | Estimated cost | Estimated time | Signal strength | ROI score | Key risks |
|---|---|---|---|---|---:|---|
| ... |

Recommended plan
- Primary path: ...
- Fallback path: ...
- First 30 days: ...
- Proof artifacts to create: ...

Assumptions and data gaps
- ...

If a paid path is lower ROI than self-study for this user, state that directly and explain why.

5. Suggest next step

After presenting:

• Suggest /career-navigator:assessment to re-check competitiveness after the first milestone.
• Suggest /career-navigator:tailor-resume once proof artifacts are created.