Agent skill
design-solution
Converge on a single recommended solution after brainstorming options. Use when you have multiple candidate approaches and need to analyze trade-offs, select one, and define decision criteria before planning.
Install this agent skill to your Project
npx add-skill https://github.com/computerlovetech/agr/tree/main/skills/development/workflow/design-solution
SKILL.md
Design Solution
Converge from multiple options to a single recommended approach.
Position in Workflow
Step 3 of development workflow:
/research- Understand problem and constraints/brainstorm-solutions- Explore solution space/design-solution- Converge on a single solution (THIS)- Plan, code, review, ship
Core Principle
Decide deliberately. Evaluate trade-offs, align to constraints, and pick the best fit.
Input
Default: Use the options from the current conversation.
If argument provided:
- File path: Read the file for brainstorming output
- GitHub issue number/URL: Fetch with
scripts/gh_issue_phase.sh get-issue $ARG
Workflow
1. Reconfirm Context
- Restate the problem, constraints, and success criteria.
- Identify any missing information that blocks a decision.
2. Evaluate Options
For each option, assess:
- Pros: Benefits and what it enables
- Cons: Risks and complexity
- Codebase fit: Alignment with existing patterns
- Effort: Low/Medium/High
- Reversibility: Easy/Moderate/Hard to change later
3. Decide
- Rank options against success criteria.
- Select a recommended option.
- State conditions that would change the decision.
4. Capture Open Questions
List unknowns that must be resolved before planning.
Output Format
## Solution Decision
### Context Summary
[Brief restatement of problem and key constraints]
### Decision Criteria
[What matters most: performance, time, simplicity, extensibility, etc.]
---
### Option Evaluation
#### Option 1: [Name] - Recommended
[Description]
**Pros:**
- ...
**Cons:**
- ...
**Codebase fit:** [How it aligns with existing patterns]
**Effort:** [Low/Medium/High]
**Reversibility:** [Easy/Moderate/Hard]
#### Option 2: [Name]
[Same structure]
#### Option 3: [Name]
[Same structure]
---
### Recommendation
[Why the recommended option wins, and when you would choose differently]
### Open Questions
[Anything that could change the recommendation]
### Next Step
Ready to plan implementation. Enter Plan Mode or run `/plan`.
GitHub Issue Tracking
If a GitHub issue was provided or is available from prior phases:
Post design decision as a phase comment and set the label:
echo "$DESIGN_SUMMARY" | scripts/gh_issue_phase.sh post-phase $ISSUE design
scripts/gh_issue_phase.sh set-label $ISSUE phase:design
Pass the issue number to the next skill (e.g., /make-plan #42).
Common Mistakes
| Mistake | Fix |
|---|---|
| Skipping decision criteria | State criteria before evaluating |
| Over-weighting novelty | Prefer codebase fit and simplicity |
| Ignoring reversibility | Consider how hard it is to change later |
| Decision without evidence | Call out unknowns explicitly |
What NOT to Do
- Do NOT re-brainstorm options
- Do NOT proceed to planning without a chosen option
- Do NOT hide assumptions or uncertainties
- Do NOT ignore codebase constraints
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
migrate-to-skills
discover-assumptions
Use after solution concepts exist to surface and prioritize assumptions behind outcomes, opportunities, or solution ideas and design experiments to test them.
discover-opportunities
Use after outcomes are defined to discover opportunities, unmet needs, market gaps, or JTBD insights before choosing solutions.
discover-outcomes
Use at the start of product strategy to define or refine desired outcomes and success metrics (e.g., for Opportunity Solution Trees or continuous discovery) before selecting opportunities or solutions.
ideate-solutions
Use after opportunities are defined to generate and evaluate multiple product solution concepts before validating assumptions. Triggers when you need a set of distinct solution options tied to outcomes and opportunities.
ost
Use when running or maintaining an Opportunity Solution Tree (OST) workflow with a lightweight graph store and CLI. Provides a single entry skill that routes to outcome, opportunity, solution, and assumption/experiment phases via progressive disclosure.
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