Agent skill · Workflow & Productivity

systems-thinking

Apply systems thinking to leadership decisions and produce a Systems Thinking Pack (system boundary, actors & incentives map, feedback loops, second-order effects ledger, leverage points, intervention plan). Use for complex ecosystems, trade-offs, org/process redesign, and preventing unintended consequences.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill systems-thinking --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/analysis/systems-thinking/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Systems Thinking ## Scope **Covers** - Seeing the “whole system” behind a problem (actors, incentives, feedback loops, culture/rules) - Anticipating second- and third-order effects (including time delays) - Finding leverage points (small changes with outsized impact) - Converting recurring pain into a reusable system (process, automation, or operating mechanism) **When to use** - “This is a complex ecosystem; we’re missing the bigger picture.” - “What are the second-order effects if we do X?” - “We keep solving symptoms—what’s the system causing this?” - “Map the players + incentives and how they interact.” - “We need to redesign a process/org without unintended consequences.” **When NOT to use** - The problem is simple/linear and mostly execution (use a project plan/timeline). - You need primary user research or data you don’t have (do discovery first). - You need deep quantitative forecasting/simulation (this skill produces a qualitative map + risks, not a full model). - The decision is low-impact and fully reversible (don’t over-invest). ## Inputs **Minimum required** - The focal decision or problem statement (1–2 sentences) - Desired outcome + time horizon (default: 6–12 mont

What's inside
Steps it walks through
  1. Scope
  2. Inputs
  3. Outputs (deliverables)
  4. Workflow (8 steps)
  5. 1) Intake + pick the focal decision/problem
  6. 2) Define the system boundary (what’s “in” vs “out”)
  7. 3) Map actors + incentives (multi-agent reality)
  8. 4) Build a simple system map (variables + causal links)
  9. 5) Identify feedback loops + time delays
  10. 6) Run second-/third-order effects on 1–3 candidate moves
  11. 7) Choose leverage points + design interventions (including “build a system”)
  12. 8) Quality gate + finalize pack
  13. Quality gate (required)
  14. Examples
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the systems-thinking skill do?

Apply systems thinking to leadership decisions and produce a Systems Thinking Pack (system boundary, actors & incentives map, feedback loops, second-order effects ledger, leverage points, intervention plan). Use for complex ecosystems, trade-offs, org/process redesign, and preventing unintended consequences.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill systems-thinking --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going