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skill-decision-support

Present options with trade-offs for informed decision-making — use when choosing between approaches

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技能内容

> Host: Codex CLI — This skill was designed for Claude Code and adapted for Codex.

> Cross-reference commands use installed skill names in Codex rather than /octo:* slash commands.

> Use the active Codex shell and subagent tools. Do not claim a provider, model, or host subagent is available until the current session exposes it.

> For host tool equivalents, see skills/blocks/codex-host-adapter.md.

Decision Support & Options Presentation

Overview

Structured approach to presenting options and alternatives with clear trade-offs, enabling informed decision-making.

Core principle: Understand context → Generate options → Analyze trade-offs → Present clearly → Support choice.

When to Use

Use this skill when user:

  • Asks for options or alternatives
  • Says "fix or provide options"
  • Needs help deciding between approaches
  • Wants to see different ways to solve a problem
  • Is uncertain about best path forward

Do NOT use for:

  • General research ("what is X?") → use flow-probe
  • Implementation work → use flow-tangle
  • Simple yes/no questions
  • Already-decided approaches

The Process

Phase 1: Context Understanding

Step 1: Understand the Decision Point

**Decision Context:**

What needs to be decided: [the core question]
Why it matters: [impact of this decision]
Constraints: [time, resources, compatibility, etc.]
Current state: [what exists now]

Step 2: Gather Requirements

Use AskUserQuestion if needed to understand:

  • Must-have requirements
  • Nice-to-have features
  • Deal-breakers
  • Timeline constraints
  • Budget/resource constraints

Phase 2: Generate Options

Step 1: Identify Viable Approaches

Generate 2-4 distinct options (not just variations):

| Option Type | When to Include |

|-------------|-----------------|

| Conservative | Low risk, proven approach |

| Moderate | Balanced risk/reward |

| Innovative | Higher risk, potentially better outcome |

| Minimal | Simplest possible solution |

Don't generate options that:

  • Violate stated constraints
  • Are clearly inferior to others
  • Are essentially the same with minor tweaks

Step 2: Research Each Option

For each option, understand:

  • How it works
  • What it requires
  • What the outcome looks like
  • What could go wrong

Phase 3: Trade-off Analysis

For each option, analyze:

### Option N: [Name]

**Description:**
[1-2 sentence description]

**Pros:**
- ✅ [Advantage 1]
- ✅ [Advantage 2]
- ✅ [Advantage 3]

**Cons:**
- ❌ [Disadvantage 1]
- ❌ [Disadvantage 2]
- ❌ [Disadvantage 3]

**Effort:** [Low/Medium/High]
**Risk:** [Low/Medium/High]
**Reversibility:** [Easy/Moderate/Difficult to undo]

**Best for:** [when this option makes sense]

Phase 4: Present Options

Format for Presentation

# Decision: [What needs to be decided]

**Context:** [Brief summary of why this decision is needed]


## Option 1: [Conservative/Proven Approach] ⭐ (Recommended)

**What it is:**
[Clear explanation in 1-2 sentences]

**Pros:**
- ✅ [Pro 1]
- ✅ [Pro 2]
- ✅ [Pro 3]

**Cons:**
- ❌ [Con 1]
- ❌ [Con 2]

**Implementation:**
[Brief overview of what's involved]

**Timeline:** [estimate]
**Risk Level:** Low/Medium/High


## Option 2: [Alternative Approach]

[Same structure as Option 1]


## Option 3: [Another Alternative]

[Same structure as Option 1]


## Recommendation

**I recommend Option [N]: [Name]**

**Why:**
1. [Reason 1]
2. [Reason 2]
3. [Reason 3]

**This option is best because:** [summary of key advantage relative to context]


## Quick Comparison

| Criteria | Option 1 | Option 2 | Option 3 |
|----------|----------|----------|----------|
| Effort | [level] | [level] | [level] |
| Risk | [level] | [level] | [level] |
| Reversible | [yes/no] | [yes/no] | [yes/no] |
| Timeline | [time] | [time] | [time] |
| Best for | [scenario] | [scenario] | [scenario] |


**Which option would you like to proceed with?**

Guidelines for Presentation

  1. Mark recommendation clearly with ⭐ or "(Recommended)"
  2. Limit to 2-4 options (too many = decision paralysis)
  3. Be honest about cons (don't oversell any option)
  4. Make comparison easy (use consistent structure)
  5. Support with reasoning (explain why recommendation makes sense)

Phase 5: Support the Choice

After user chooses:

✅ **Proceeding with Option [N]: [Name]**

**Next steps:**
1. [Step 1]
2. [Step 2]
3. [Step 3]

**I'll now [begin implementation / gather more details / create plan].**

If user asks for more info on a specific option:

**Deep dive on Option [N]:**

**How it works:**
[Detailed explanation]

**Implementation steps:**
1. [Detailed step 1]
2. [Detailed step 2]
...

**Potential issues and mitigations:**
- Issue: [potential problem]
  Mitigation: [how to handle it]

**Would you like to proceed with this option?**

Common Patterns

Pattern 1: "Fix or Provide Options"

User: "The auth system is broken. Fix or provide options."

Response structure:
1. Assess: Is the fix obvious or are there choices?
2. If obvious: Present the fix + ask for confirmation
3. If choices: Present options with trade-offs

Example:

I can see the auth issue. Here are your options:

**Option 1: Quick Fix** (Recommended for immediate deployment)
- Patch the current JWT validation
- Pros: Fast, low risk
- Cons: Doesn't address underlying architecture

**Option 2: Comprehensive Refactor**
- Rebuild auth with better patterns
- Pros: Long-term solution
- Cons: Takes longer, more testing needed

**Which approach fits your timeline?**

Pattern 2: "What Are My Options"

User: "I need to add caching. What are my options?"

Response structure:
1. Understand requirements (what needs caching, scale, etc.)
2. Generate 3-4 caching options
3. Present with trade-offs
4. Recommend based on their context

Example:

For caching your API responses, here are the main options:

**Option 1: In-Memory Cache (Node-cache)** ⭐
- Best for: Single-server setup
- Pros: Simple, fast, no external dependencies
- Cons: Lost on restart, doesn't scale across servers

**Option 2: Redis**
- Best for: Multi-server or persistence needed
- Pros: Persistent, distributed, feature-rich
- Cons: Requires Redis server, more complex

**Option 3: CDN Caching (Cloudflare/Fastly)**
- Best for: Static/semi-static content
- Pros: Global distribution, handles scale
- Cons: Less control, costs, public content only

**Based on your single-server setup, Option 1 is recommended.**
Which would you like to use?

Pattern 3: "Help Me Decide"

User: "Should I use TypeScript or stick with JavaScript? Help me decide."

Response structure:
1. Clarify decision factors (team size, project scope, timeline)
2. Present structured comparison
3. Make recommendation based on their specific context
4. Support whatever they choose

Example:

Let me help you decide between TypeScript and JavaScript.

**TypeScript:**
Pros: Type safety, better tooling, catches errors early
Cons: Learning curve, build step, more setup
Best for: Larger teams, long-term projects, complex domains

**JavaScript:**
Pros: Simpler, no build step, familiar to all devs
Cons: Runtime errors, less IDE support, harder to refactor
Best for: Small projects, prototypes, simple applications

**For your [context]:** I recommend TypeScript because [reason].

Would you like to proceed with TypeScript, or would JavaScript be better for your needs?

Integration with Other Skills

With flow-probe

Need to research options thoroughly?
→ Use flow-probe to gather information
→ Use skill-decision-support to present findings as options

With flow-tangle

User chose an option?
→ Use flow-tangle to implement the chosen approach

With skill-debug

Bug could be fixed multiple ways?
→ Use skill-decision-support to present fix options
→ Use skill-debug to implement chosen fix systematically

Best Practices

1. Tailor to User's Needs

Ask about constraints:

Before presenting options, I need to understand:
- Timeline: How urgent is this?
- Resources: What's available (team size, budget, infrastructure)?
- Risk tolerance: Is this production-critical or experimental?
- Reversibility: Must this decision be reversible?

2. Quantify When Possible

Good:

**Timeline:**
- Option 1: 2-3 hours
- Option 2: 1-2 days
- Option 3: 1 week

Poor:

**Timeline:**
- Option 1: Quick
- Option 2: A while
- Option 3: Longer

3. Be Honest About Unknowns

**Option 2: Microservices Architecture**

⚠️ **Unknown:** Migration effort could be 2-4 weeks depending on current coupling.
Would need to audit codebase to give accurate estimate.

4. Provide "Escape Hatch"

Always include:

**Not satisfied with these options?**

I can also:
- Research more alternatives
- Combine aspects of multiple options
- Deep-dive on any specific approach
- Prototype a solution to test viability

Red Flags - Don't Do This

| Action | Why It's Wrong |

|--------|----------------|

| Only present one "option" | That's not a choice |

| Present 8+ options | Decision paralysis |

| Hide significant cons | User can't make informed choice |

| Recommend without reasoning | User can't evaluate recommendation |

| Ignore stated constraints | Wasting user's time |

| Present obviously bad options as viable | Undermines trust |

Quick Reference

| User Request | Action |

|--------------|--------|

| "fix or provide options" | Assess if fix obvious → If yes: present fix, if no: present options |

| "what are my options" | Understand context → Generate 2-4 options → Present with trade-offs |

| "help me decide" | Clarify decision factors → Compare approaches → Recommend with reasoning |

| "show alternatives" | Generate alternatives → Analyze pros/cons → Present structured comparison |

The Bottom Line

Decision support → Clear options + Honest trade-offs + Reasoned recommendation
Otherwise → Confusion + Poor decisions + Regret

Understand context. Present real choices. Support with reasoning. Respect their decision.

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