benchmark-sweep
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/benchmark-sweepSystematically scan all known solutions in a domain, catalog their properties, and identify gaps where no solution exists.
SKILL.md
.github/skills/benchmark-sweepView on GitHub ↗
--- name: benchmark-sweep description: Systematically scan all known solutions, identify gaps in coverage and unexplored regions of the solution space. execution: strategy used-by: systematic-enumeration --- # Benchmark Sweep Systematically scan all known solutions in a domain, catalog their properties, and identify gaps where no solution exists. ## State Ledger | Resource | Target | Current | % | |----------|--------|---------|---| | web-search | 30 | 0 | 0% | | web-research | 10 | 0 | 0% | | paper-overview | 30 | 0 | 0% | | paper-search | 20 | 0 | 0% | | paper-research | 8 | 0 | 0% | ## HARD-GATE Cannot exit strategy until ≥80% of each budget line is consumed OR yield targets are met with justification for remaining budget. ## Available Tactics | Tactic | Role | |--------|------| | coverage-analysis | Inventory → crossing → intersection evaluation pipeline | | evaluation-filtering | Score and filter generated gap-filling ideas | ## Available SOPs | SOP | Role | |-----|------| | benchmark-inventory | Catalog all known solutions with performance/applicability/limitations | | method-problem-crossing | Build cross-reference matrix from inventory | | intersection-evaluation | Annotate matrix cells as explored/partial/unexplored | | enumeration-synthesis | Synthesize sweep findings into structured report | ## Execution Guidance 1. **Inventory**: Run benchmark-inventory to catalog all known methods 2. **Structure**: Use method-problem-crossing to organize into matrix form 3. **Evaluate**: Run intersection-evaluation to find gaps 4. **Generate**: For each gap, brainstorm potential solutions 5. **Filter**: Apply evaluation-filtering to rank gap-filling ideas 6. **Synthesize**: Produce final report via enumeration-synthesis