القائمة
Exhaustive solution space exploration. Use when you need ALL viable options (not just the best), solution space is unknown, or you can't afford to miss alternatives.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.
Guide for manually creating custom skills from scratch with templates and validation. Use when designing NEW skills with specific requirements. For auto-generating skills from existing git repos, use /generate-skills instead.
Display QAVR (Q-Value Augmented Vector Retrieval) system status including mode, interaction counts, top memories by Q-value, and configuration.
Enables continuous self-improvement through learning from failures, user corrections, and capability gaps. Integrates with QAVR for learned memory ranking.
Stress-test solutions using the STRIKE framework. Systematically attack proposals to find weaknesses before deployment.
Diagnostic reasoning for finding root causes. Generates multiple hypotheses, designs tests to eliminate each, and converges on the true cause through evidence.
| name | breadth-of-thought |
| description | Exhaustive solution space exploration. Use when you need ALL viable options (not just the best), solution space is unknown, or you can't afford to miss alternatives. |
| metadata | {"clawdbot":{"requires":{"env":[]}}} |
| user-invocable | true |
Exhaustive exploration methodology for discovering ALL viable solutions.
| ToT | BoT |
|---|---|
| Find THE best | Find ALL viable |
| Prune aggressively (keep top 2-3) | Prune conservatively (keep >40% confidence) |
| Deep exploration of winners | Broad exploration of everything |
| Single recommendation | Multiple options with trade-offs |
Generate 8-10 approaches at each level:
Keep anything above 40% viability threshold:
For EACH remaining option, generate sub-approaches:
Option 1 → 1a, 1b, 1c
Option 2 → 2a, 2b, 2c
Option 3 → 3a, 3b, 3c
...
Score all remaining options:
Return 3-5 viable solutions with:
## BoT Exploration: [Problem]
### Solution Portfolio
#### Option 1: [Name]
- **Approach**: [description]
- **Best for**: [use case]
- **Trade-offs**: [gains vs losses]
- **Confidence**: X%
#### Option 2: [Name]
- **Approach**: [description]
- **Best for**: [use case]
- **Trade-offs**: [gains vs losses]
- **Confidence**: X%
#### Option 3: [Name]
...
### Comparison Matrix
| Option | Speed | Cost | Complexity | Risk | Best When |
|--------|-------|------|------------|------|-----------|
| 1 | | | | | |
| 2 | | | | | |
| 3 | | | | | |
### Eliminated Options
- [Option X]: [why not viable]
### Recommendation
No single "best" - choose based on priorities:
- If [priority A] matters most → Option 1
- If [priority B] matters most → Option 2
- If [priority C] matters most → Option 3
Problem: Data pipeline architecture options
BoT Output:
Each is viable - choice depends on specific requirements.