lean-math-dynamical
Skill3 starsChanged 24 days agoApache-2.0View on GitHub
USE FOR: nonlinear dynamical systems, Lyapunov stability, bifurcation theory, catastrophe theory, control theory. DO NOT USE FOR: stochastic dynamics (@lean-math-stochastic). TRIGGERS: Lyapunov, stability, bifurcation, cusp catastrophe, attractor.
In this repository65 other files it gives its agents.
- AGENTS.mdAGENTS.md
- ai-guard-judge-evalSkill
- applied-data-information-securitySkill
- applied-engineering-disciplinesSkill
- applied-legal-reasoningSkill
- epistemic-discovery-engineSkill
- epistemic-mappingSkill
- hol-metamath-adapterSkill
- isabelle-isar-adapterSkill
- itp-cross-portingSkill
- lean-ai-formalizationSkill
- lean-applied-reasoningSkill
- lean-axiom-closureSkill
- lean-bigraph-modelingSkill
- lean-bisectSkill
- lean-blueprintSkill
- lean-buildSkill
- lean-causal-reasoningSkill
- lean-competitive-mathSkill
- lean-convergence-verificationSkill
- lean-core-onlySkill
- lean-dag-visualizerSkill
- lean-deep-auditSkill
- lean-doc-feedbackSkill
- lean-doc-improvementSkill
- lean-doc-requirementsSkill
- lean-enforcementSkill
- lean-formalization-breakdownSkill
- lean-gatewaySkill
- lean-integration-protocolSkill
- lean-knowledge-formalizationSkill
- lean-math-analysisSkill
- lean-math-discreteSkill
- lean-math-foundationsSkill
- lean-math-optimizationSkill
- lean-math-stochasticSkill
- lean-mweSkill
- lean-nested-learningSkill
- lean-package-researchSkill
- lean-pedagogical-expositionSkill
- lean-proof-refactorSkill
- lean-proof-repairSkill
- lean-proof-reviewSkill
- lean-proofSkill
- lean-prSkill
- lean-quality-engineSkill
- lean-replay-verificationSkill
- lean-reportSkill
- lean-researchSkill
- lean-retroactive-auditSkill
- lean-retro-methodologySkill
- lean-review-councilSkill
- lean-security-formalizationSkill
- lean-setupSkill
- lean-specificationSkill
- lean-tautology-triageSkill
- lean-upstream-portingSkill
- lean-vendor-substrateSkill
- lean-zettelkastenSkill
- math-product-managementSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 41
STOP if the proof depends on a manifold or smooth-structure API not in Mathlib at the current pin — escalate to @lean-research.
- Very specific: line 44
STOP if a stochastic perturbation enters the model — re-route to @lean-math-stochastic.
≈ “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
Lean 4 Nonlinear Dynamics & Stability
Guide to formalizing dynamical systems, stability theory, and bifurcation in Lean 4.
Routing
- USE FOR: nonlinear dynamical systems, Lyapunov stability, bifurcation theory, catastrophe theory, control theory, phase-portrait analysis, attractor classification, and any deterministic system with state evolution over time in Lean 4.
- DO NOT USE FOR: stochastic dynamics (delegate to
@lean-math-stochastic); pure analysis / topology (delegate to@lean-math-analysis); optimization-only control problems (delegate to@lean-math-optimization); writing one specific proof (delegate to@lean-proof).
Workflow
- Classify the system (Part 1) — discrete-time, continuous-time, gradient, conservative, controlled.
- Pick the appropriate technique below (Lyapunov, contraction, bifurcation-normal-form, catastrophe-classification).
- Handoff to
@lean-prooffor the concrete proof; if it bottoms out in a derivative / measure step, handoff to@lean-math-analysis.
Recovery & STOP
- STOP if the proof depends on a manifold or smooth-structure API not in Mathlib at the current pin — escalate
to
@lean-research. - STOP if a stochastic perturbation enters the model — re-route to
@lean-math-stochastic; this skill covers only deterministic dynamics.
Handoffs
- Predecessors:
agent:gateway,skill:lean-proof(mid-proof stability goal),skill:lean-research(catastrophe-theory result survey). - Successors:
skill:lean-proof(apply the dynamical pattern),skill:lean-proof-review(audit Lyapunov candidate),skill:lean-math-analysis(continuous-derivative or contraction reduction).
Detailed reference
Full encyclopedic reference, decision trees, and lookup tables live in
references/lean-math-dynamical-handbook.md .
See also
../../references/lean-math-dynamical-handbook.md-- Completelean-math-dynamicalHandbook../lean-gateway/SKILL.md-- Top-level skill router
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.

