skills/have-you-considered/SKILL.md
Surface alternatives — different ways to address the same need.
npx skillsauth add liza-mas/liza have-you-consideredInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Open doors, don't fix bugs. This skill suggests what could be different, not what is wrong.
"Have you considered..." is a mentor's question, not a reviewer's finding. The goal is to surface options the author may not have seen — a library that already does this, a simpler way to meet the user need, a different decomposition of the work.
This skill is orthogonal to review and validation. It doesn't judge correctness; it expands the solution space.
Applies to anything: specs, code, PRs, design docs, architecture, process. Invoked explicitly — not a default lens.
| Domain | Examples | |--------|----------| | Technique | Library that replaces custom code, pattern that simplifies structure, tool that automates manual step | | Product | Different UX that addresses same user need, feature that already exists elsewhere, scope reduction that delivers 80% value at 20% cost | | Process | Different work decomposition, alternative sequencing, team structure adjustment |
1. UNDERSTAND THE INTENT
- What need is being addressed? (user need, technical constraint, business goal)
- What's the current approach?
- What are the implicit assumptions?
2. EXPLORE ALTERNATIVES (per subject)
- What else could address this need?
- What's already out there? (libraries, prior art, patterns)
- What would a different team try?
- If knowledge is insufficient → search (docs, GitHub, awesome-lists, Perplexity MCP)
3. FILTER
- Does the alternative have demonstrable net benefit?
- Is the benefit significant enough to warrant switching cost?
- **Does scope match project maturity?** (PoC → interface changes; production → extend existing patterns)
- Discard if: marginal gain, astronautics, solves different problem
4. OUTPUT (one suggestion per subject)
- The alternative
- The demonstrable benefit (quantified when possible)
- The cost/risk to adopt
- Why it fits this specific context
Every suggestion must have a benefit that can be verified, not just asserted.
Demonstrable:
Not demonstrable (don't suggest):
When agent knowledge is insufficient:
Cite sources. Don't suggest based on vague recall.
Prose libre. One suggestion per subject identified in scope.
## [Subject: brief description]
**Current approach:** [what's being done or proposed]
**Have you considered:** [the alternative]
**Benefit:** [demonstrable gain — quantified if possible]
**Cost:** [switching effort, risks, tradeoffs]
**Fit:** [why this makes sense for this specific context]
**Sources:** [if research was needed]
FORBIDDEN:
ALLOWED:
Not a replacement for any skill — a complement that expands options before or after validation.
development
Coordinate Pairing-mode doer/reviewer sessions through a Markdown blackboard. Use when the user invokes /adversarial-pairing with role and blackboard-path arguments or asks multiple pairing agents to coordinate plan review, implementation, staged code review, and follow-up review rounds without Liza multi-agent mode.
data-ai
Analyze Liza agents logs
development
Code Review Protocol
tools
Analyze Liza `.liza/agent-prompts/` and `.liza/agent-outputs/` from a context-engineering perspective: prompt payload shape, context budget use, cacheability, duplicated or missing context, instruction hierarchy, tool-output pressure, role-specific context fit, and prompt-output feedback loops. Use when diagnosing agent context bloat, prompt drift, poor agent handoffs, repeated misunderstandings, excessive tool output, or whether Liza agents received the right information at the right time.