| name | fpf-problem-portfolio |
| description | Manage problems as a portfolio with explicit selection rules, goldilocks assessment, and diversification. Think through what to solve next, not just what's urgent. |
| argument-hint | [portfolio-scope] |
What this skill IS
This is strategic problem selection, not issue triage. You are managing a portfolio of problems — deciding which problems to invest effort in, balancing exploration vs exploitation, maintaining diversity, and preserving stepping stones.
Key questions while filling the template:
- Which problems are in the zone of proximal development (goldilocks)?
- Am I over-investing in one type of problem (exploit bias)?
- Which problems, even if not urgent, could open new solution spaces (stepping stones)?
- What problem types are NOT in the portfolio but should be?
Prerequisites
- ≥2 PROB/ANOM-* cards exist (otherwise no portfolio needed)
- If comparing problems on measurable dimensions: invoke
/fpf-characterize for problem-level characterization. Q dimensions in the portfolio table MUST reference CHR-* indicators, not hardcoded defaults.
Output
.fpf/portfolios/PPORT-${CLAUDE_SESSION_ID}--<slug>.md
Constraints (quality bar)
- C1: Selection rule stated BEFORE applying — not post-hoc rationalized
- C2: Archive complete — no hidden problems
- C3: ≥1 active problem has stepping-stone potential (not all exploit)
- C4: Diversification check honest — flags imbalances (problem type, domain, risk level)
- C5: Each active problem references existing PROB/ANOM-*
- C6: Goldilocks filter applied — trivial and impossible problems identified and deferred
- C7: Q dimensions in NQD table reference CHR-* indicators when characterization exists (not hardcoded impact/feasibility)
Selection policy examples
- Impact × Feasibility: highest expected value first (exploit-heavy)
- Learning value: problems that teach the most about the domain (explore-heavy)
- Barbell: 80% safe + 20% speculative stepping stones
- Constraint-driven: solve blocking problems first, then expand
Format
# Problem Portfolio
- **ID:** PPORT-... **Scope:** ... **E/E policy:** explore|exploit|barbell
## Selection rule
(policy stated before applied, chosen from above or custom)
## Active problems (NQD-characterized)
| # | ID | Title | D_c | Q:[impact] | Q:[feasibility] | Q:[stepping-stone] | N | D_p |
Pipeline: D_c (goldilocks filter) → Q dominance (Pareto) → N, D_p (tie-breakers). Never collapse Q to single score.
## Deferred
| # | ID | Title | Why deferred | Revisit condition |
## Diversification check
- Problem types covered: ...
- Not covered: ... (flag if imbalanced)
- Explore/exploit balance: ...
