critical-chain-identification

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/critical-chain-identification

Identify critical chain paths considering resource contention

  • Solves task of identifying longest path in dependency graph under resource constraints.
  • Deploys dependency graph and duration estimates as inputs to decision-making process.
  • Uses Goldratt's Critical Chain method to resolve resource conflicts and optimize project scheduling.
  • Outputs critical chain paths with resolved resource conflicts for further use by other agents.

SKILL.md

.github/skills/critical-chain-identificationView on GitHub ↗
---
name: critical-chain-identification
description: "Identify the critical chain — longest path considering resource contention"
version: 1.0.0
category: experiment-execution
type: sop
execution: subagent
prompt: ./prompt.md
used-by: dependency-constraint
input: dependency graph, resource assignments, duration estimates
output: critical chain with resource conflicts resolved, feeding chains identified
shared: true
---

# SOP: Critical Chain Identification

Identify the critical chain (longest resource-constrained path) using Goldratt's Critical Chain method. Differs from CPM by resolving resource contention and removing task-level safety margins.

Subagent — spawned via subagent-spawning/spawn-agent skill.

Shared: Used by dependency-constraint strategy and implementation-planning campaign.

More from yogsoth-ai/de-anthropocentric-research-engine

SkillDescription
abductive-hypothesis-generationStrategy: 面对异常的最佳解释推理
ablation-brainstormRemove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
ablation-component-mappingMap system architecture to ablatable units for ablation studies
ablation-designDesign ablation studies to isolate component contributions in ML systems
ablation-executionRemove components one by one from a system, record the response/impact of each removal.
abp-vulnerability-classificationClassify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant.
abstraction-extractionExtract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
abstraction-ladderPerform bisociation at multiple abstraction levels
abstraction-ladderingMove between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
abstraction-to-designAbstract biological principle to design principle. Bridge from biology to engineering.