SystemsThinking
SystemsThinking is a Structured reasoning & decision frameworks skill for AI agents, published by danielmiessler in the LifeOS repository on GitHub. Skillspace rates SystemsThinking C (79/100) and it passed the safety scan; a judge model has also reviewed it.
Structural analysis of complex systems — Iceberg model, Causal Loop feedback diagrams, archetype matching, Meadows leverage points, and concept maps — grounded in the premise that behavior is generated by structure. USE WHEN systems thinking, causal loop, feedback loops, archetypes, leverage points, iceberg model, fix the system, why does this keep happening, recurring problem, second-order effects. NOT FOR incident causal chains (use RootCauseAnalysis).
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 16,717
Placed #5 of 6 in the judged category final for Structured reasoning & decision frameworks.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. LifeOS product skill; checks LifeOS's own customization directory convention.
Judge review
Placed #5 of 6 in the judged category final for Structured reasoning & decision frameworks.
- Trigger
78 78 - Instructions
72 72 - Specificity
68 68 - Safety
48 48 - Disclosure
75 75 - Maintenance
60 60
Intellectually well-grounded with clear scope boundaries against sibling skills, but concrete procedural detail lives entirely in unseen workflow files.
Intellectually well-grounded (Meadows, Senge, Forrester) with clear scope boundaries, but no worked example survives into the visible text.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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