intelligence/systems-thinking
Skill10 starsChanged 2 months agoMITView on GitHub
Use when reasoning about architecture, holistic analysis, feedback loops, or emergent behavior — sees components, connections, feedback loops, and emergent properties to prevent the tunnel vision of analyzing parts in isolation. Default skill for Starlight Architect and Starlight Prime.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Arcanea-Labs/Starlight-Intelligence-Systemword for word, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 1
- Arcanea-Labs/Starlight-Intelligence-System★ 10100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository49 other files it gives its agents.
- AGENTS.mdAGENTS.md
- site/AGENTS.mdAGENTS.md
- .claude/hooks/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- site/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- .cursor/rules/editorial.mdcCursor rule
- .cursor/rules/starlight-agents.mdcCursor rule
- .cursor/rules/starlight-core.mdcCursor rule
- .cursor/rules/starlight-memory.mdcCursor rule
- .cursor/rules/starlight-voice.mdcCursor rule
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- agent-hygieneSkill
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- SKILL.mdSkill
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- skill-forgeSkill
- system-forgeSkill
- taste-engineSkill
- integration/ecosystem-syncSkill
- integration/repo-bridgeSkill
- integration/transmission-protocolSkill
- integration/universal-adapterSkill
- intelligence/decision-frameworkSkill
- intelligence/hermes-searchSkill
- intelligence/pattern-recognitionSkill
- intelligence/strategic-reasoningSkill
- heartSkill
- storageSkill
- memory/capture-disciplineSkill
- memory/context-preservationSkill
- memory/insight-distillationSkill
- memory/knowledge-synthesisSkill
- memory/memory-consolidationSkill
- sis-memory-orchestratorSkill
- memory/vault-managementSkill
- agent-creatorSkill
- orchestration/context-engineeringSkill
- orchestration/gencreator-stackSkill
- orchestration/hermes-swarmSkill
- orchestration/multi-agent-coordinationSkill
- orchestration/parallel-executionSkill
- orchestration/workflow-designSkill
- workflow-skill-creatorSkill
- safety/mutation-approvalSkill
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- safety/secret-detectorSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Default for: Starlight Architect, Starlight Prime
- Distinctive: line 30
Document system boundaries (what's inside vs.
- Distinctive: line 38
Check for unintended consequences
- Distinctive: line 55
Transmissions: All channels (ecosystem-wide implications)
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Systems Thinking
"Everything is connected. See the connections, see the truth."
When This Skill Activates
- Architecture discussions, holistic analysis, understanding emergent behavior
- Keywords: "system", "architecture", "holistic", "feedback", "emergent", "ecosystem"
- Default for: Starlight Architect, Starlight Prime
What This Skill Does
Enables holistic analysis that sees components, connections, feedback loops, and emergent properties. Prevents the tunnel vision of looking at parts in isolation.
Procedures
Procedure 1: System Mapping
- Identify all components in the system
- Map connections between components (data, control, dependency)
- Identify feedback loops (reinforcing and balancing)
- Find leverage points (where small changes have big effects)
- Identify emergent properties (what the whole does that parts don't)
- Document system boundaries (what's inside vs. outside)
Procedure 2: Impact Analysis
- Identify the proposed change
- Trace first-order effects (direct impacts)
- Trace second-order effects (impacts of impacts)
- Trace third-order effects (if significant)
- Check for unintended consequences
- Identify affected feedback loops
- Assess net system impact
Procedure 3: Ecosystem View
- Map the FrankX ecosystem: Starlight, ACOS, Arcanea, AI-Ops
- Identify shared resources and dependencies
- Find integration points and gaps
- Assess ecosystem health (is it balanced? growing?)
- Identify opportunities for better connection
- Recommend ecosystem-level improvements
Integration Points
- Vault: Technical Vault (system patterns), Wisdom Vault (system principles)
- Agents: Architect (primary), Prime (ecosystem), All (system awareness)
- Transmissions: All channels (ecosystem-wide implications)
Quality Criteria
- Did you consider the whole system, not just the part being changed?
- Are feedback loops identified?
- Are second-order effects considered?
- Is the ecosystem perspective included?
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

