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Decision toolkit

Skill DjordjeMojsilovic/Djordjes-Claude-Setup/decision-toolkit

My personal Claude setup – 11 custom skills, CLAUDE.md config and a complete prompting guide for vibe coding and multi-agent workflows.

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npx -y skills add DjordjeMojsilovic/Djordjes-Claude-Setup --skill decision-toolkit

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Structured decision-making frameworks for complex, high-stakes, or ambiguous choices. Use when the user needs to make a significant decision and would benefit from a formal framework — business strategy, tech architecture, career moves, startup pivots, build-vs-buy, prioritization. Activate on: "how should I decide", "help me think through", "what framework", "prioritize these", "should we build or buy", "is this worth it". Provides: RICE scoring, decision matrices, pre-mortem analysis, second-order thinking prompts, and synthesis into a clear recommendation.

SKILL.md

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Decision Toolkit

Structured frameworks for making better decisions. Choose the right tool for the decision type.

Framework 1 — RICE Prioritization

Use for: Feature prioritization, project backlog, competing initiatives.

Score each option:

RICE Score = (Reach × Impact × Confidence) / Effort

Reach:     How many people/units affected? (number per time period)
Impact:    Massive=3 / High=2 / Medium=1 / Low=0.5 / Minimal=0.25
Confidence: How sure are you? 100% / 80% / 50%
Effort:    Person-months to complete

Present as a ranked table. Note: RICE is a forcing function, not a truth machine — the assumptions matter more than the scores.


Framework 2 — Decision Matrix

Use for: Choosing between multiple options across multiple criteria.

Steps:

  1. List options (rows)
  2. List criteria (columns) — max 6
  3. Assign weight to each criterion (total = 100%)
  4. Score each option on each criterion (1-5)
  5. Calculate weighted score
  6. Identify winner — then sanity-check: does the winner feel right? If not, the weights are wrong.

Always state the most contested assumption in the weighting.


Framework 3 — Pre-Mortem

Use for: High-stakes decisions before commitment. Forces failure-mode thinking.

Instructions: "Imagine it's 12 months from now. This decision was made. It failed spectacularly. What happened?"

Generate 5-7 realistic failure scenarios. For each:

  • Name the failure mode
  • Probability estimate (rough)
  • Early warning signal (what would you see in month 1-3?)
  • Mitigation: what decision change would reduce this risk?

Then: does the decision still make sense given these failure modes?


Framework 4 — Second-Order Thinking

Use for: Decisions with complex ripple effects. Strategy, policy, architecture.

Structure:

FIRST-ORDER EFFECTS (immediate, obvious):
[What happens directly as a result of this decision]

SECOND-ORDER EFFECTS (3-12 months):
[What happens because of the first-order effects]

THIRD-ORDER EFFECTS (1-3 years):
[What happens because of the second-order effects]

MOST DANGEROUS ASSUMPTION:
[The one thing that, if wrong, reverses the recommendation]

Framework 5 — Build vs Buy vs Partner

Use for: Technology or capability acquisition decisions.

Evaluate across:

DimensionBuildBuyPartner
Time to valueSlowestFastestMedium
ControlMaximumMinimumShared
Cost structureCapex upfrontOpex ongoingVariable
Strategic differentiationHighLowMedium
Maintenance burdenFullVendor'sShared

Decision rules:

  • If it's core to your differentiation → Build
  • If it's commodity infrastructure → Buy
  • If you need speed + don't need control → Buy
  • If you need capability you can't build in 6 months → Partner or Buy

Framework 6 — Reversibility Test

Use for: Any decision. The most underused filter.

Ask:

  1. Is this decision reversible? (Can you undo it in <3 months at <20% cost?)
  2. If YES → move fast, decide with 70% information, learn by doing
  3. If NO → slow down, gather more information, apply pre-mortem

"If in doubt, make it reversible first."


Synthesis Protocol

After applying any framework:

  1. Recommendation: State the decision clearly. No "it depends" without conditions.
  2. Confidence: X% — what would raise or lower it?
  3. Key assumption: The one thing that most determines the outcome.
  4. Decision trigger: What specific signal in the next 30 days confirms or challenges this?

Source: adapted from glebis/claude-skills/decision-toolkit + standard decision frameworks

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