Dream Solution Space
Expand a problem's solution space before committing. Use when the user asks to "dream", "brainstorm deeply", "find a better frame", "generate competing approaches", "stress test options", or when the obvious answer feels too easy. Produces grounded perspectives, adversarial critique, integrity scores, and a recommendation.
Install
$ agentstack add skill-ariaxhan-the-agent-library-dream-solution-space ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-ariaxhan-the-agent-library-dream-solution-space) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Dream Solution Space
Dream is structured divergence. It creates competing perspectives, attacks them with different value systems, and recommends the approach that survives.
Use before non-trivial decisions, architecture choices, product directions, writing angles, research plans, or build strategies.
1. Ground in reality
Before ideating, gather:
- Current context
- Existing constraints
- Prior attempts
- User's real goal
- Available resources
- Things that must not happen
A dream that ignores reality is just a fantasy.
2. Generate three perspectives
Minimalist
Find the smallest move that could work.
Ask:
- Can we delete our way to the answer?
- Can we use an existing tool?
- What is the 20-line version?
- What if we do not build this?
Maximalist
Find the version worth being proud of later.
Ask:
- What would the ideal system look like?
- What does this unlock beyond the immediate ask?
- What edge cases should be handled from day one?
- What future would this make possible?
Pragmatist
Find the 80/20 move.
Ask:
- What solves the real problem this week?
- What can be deferred without creating debt?
- What is the upgrade path?
- What is the smallest meaningful proof?
3. Stress-test each perspective
Run four lenses:
- Architect: fragility, coupling, future migration, structural debt
- User: whether it solves the lived problem without extra pain
- Adversary: edge cases, abuse, wrong assumptions, failure modes
- Operator: shipping, maintenance, monitoring, rollback, ongoing burden
Each lens should produce specific concerns, not vibes.
4. Score integrity
For each perspective:
0.8-1.0: antifragile, stronger after critique0.6-0.79: viable, needs fixes<0.6: shattered, do not pursue as-is
The winner is not the prettiest idea. It is the one that survives attack.
5. Reframe if everything shatters
If all approaches fail:
- State why each failed.
- Ask whether the original problem frame is wrong.
- Generate 1-2 reframings.
- Run the perspectives once more.
If the reframes also shatter, stop and ask for human decomposition.
6. Output
Return:
- Context
- Three perspectives
- Council critique
- Integrity scores
- Shattered options and why
- Recommendation
- Next action
If two options are close, propose a hybrid only if the hybrid does not inherit both failure modes.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ariaxhan
- Source: ariaxhan/the-agent-library
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.