constraint-identification-sop
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/constraint-identification-sopIdentifies constraints using TOC, TRIZ, and Pre-mortem methods
- Discovers bottlenecks, contradictions, and failure risks in candidate implementations
- Uses Theory of Constraints, TRIZ, and Pre-mortem frameworks
- Analyzes candidate and context to generate severity-ranked constraints
- Returns consolidated constraint list via subagent execution
SKILL.md
.github/skills/constraint-identification-sopView on GitHub ↗
--- name: constraint-identification-sop description: Identify constraints for a candidate using TOC, TRIZ, and Pre-mortem methods. execution: subagent prompt: ./prompt.md input: candidate, context used-by: feasibility-assessment --- # Constraint Identification SOP Systematically discover all constraints that could prevent a candidate from being implemented. Applies three complementary methods: Theory of Constraints (find the bottleneck), TRIZ contradiction analysis (surface technical/physical contradictions), and Pre-mortem (imagine failure and trace causes). ## Execution Spawns a subagent that: 1. Receives candidate description and implementation context 2. Applies TOC to identify system bottlenecks 3. Applies TRIZ to surface contradictions 4. Runs Pre-mortem to imagine failure scenarios 5. Deduplicates and returns consolidated constraint list ## Why Subagent Constraint discovery requires creative, divergent thinking across multiple frameworks. Running as a subagent prevents premature filtering and ensures all three methods are fully applied. ## HARD-GATE Output MUST include: at least 3 constraints identified, method attribution for each, and initial severity estimate. Reject if fewer than 3 constraints found.