Structural Simplification
SkillAI & modelsA domain-agnostic complexity model and decision protocol. Complexity is treated as a 4-axis vector — D (diversity), K (coupling), P (depth), n (quantity) — and any proposed restructuring is judged by its per-axis effect rather than by intuition. Applies to code, project organization, runtime topology, data models, workflows, UI layouts, organizational structures, and temporal processes. TRIGGER when: evaluating a refactoring, designing a restructuring, or deciding whether a proposed change makes a system simpler or more complex. SKIP for: trivial renames, content edits, dependency bumps, isolated bug fixes that touch no structure. For module-level design discipline see `architecture-guidelines`; for placement and evidence-weighted dependency-topology constraints see `morphogenetic-architecture`.
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What this skill tells your AI
The instructions your AI receives, as published by l-gevity/l-gevity-skills in .agents/skills/structural-simplification/SKILL.md and read by ahel’s review.
Core Directives
- Complexity has four axes: D (diversity), K (coupling), P (depth), n (quantity). Score each independently; never collapse into a single number.
- Compare before and after. Intuition is not a metric.
- Conform when semantics match. Reusing an existing pattern shrinks D globally only when the semantics, lifecycle, and constraints actually fit.
- Remove over mitigate, safely. Removing a part or special case beats handling it when functionality, migration, rollback, and external constraints permit removal.
Reporting Vocabulary
The skill may reason with axis symbols, but reports are for a coding agent that must choose an edit, test, lint rule, or rejection. Use the coder-facing field names below in every emit block, gate table, and cross-skill citation.
| Internal symbol | Coder-facing field used in reports |
|---|---|
ΔD (diversity) | Component-kinds Δ — distinct component/interface/pattern types added or removed |
ΔK (coupling) | Dependency-edges Δ — imports, calls, package edges, or runtime links added or removed |
ΔP (depth) | Max-chain-depth Δ — longest import/call/build chain before vs after |
Δn (quantity) | Module-count Δ — files, modules, jobs, services, or instances added or removed |
Naming guardrails. P is max-chain-depth, never "depth" alone — bare "depth" collides with the layer field in morphogenetic-architecture. Symbols appear in exactly three places: inside a formula, inside this table, and inside §§1–7 (the internal model). Anywhere else in narrative, use the coder-facing field name.
1. The Complexity Model
| Axis | Symbol | What it counts | Measurement recipe |
|---|---|---|---|
| Diversity | D | Distinct patterns, shapes, concepts | Count distinct patterns / vocabulary items in the structure |
| Coupling | K | Relationship count and density | Count edges, then compute density (edges / (n × (n−1)) for directed graphs where n > 1) after defining edge kind and direction |
| Depth | P | Longest chain from source to sink | Longest path from any origin to any terminus in the DAG |
| Quantity | n | Total number of parts | Direct count of parts (use §2 to identify parts in your domain) |
Domain-agnostic. Parts = any discrete unit; relationships = any connection (dependency, flow, sequence, authority). Multi-axis interactions usually cost more than any single-axis change alone; verify against the domain's actual constraints.
[!IMPORTANT] Cycles are property violations, not just high K. A cycle breaks the DAG assumption only when the chosen projection is required to be acyclic, such as imports, ownership, authority, or layer dependencies. See §5 for the topology framing that rules those cycles out;
morphogenetic-architecture§2 defines the hard invariant and hands enforceable static constraints toarchitecture-as-code. If the domain intentionally contains cycles (feedback loops, state machines, workflows), define the acyclic projection or cycle semantics before scoring.
2. Domain Mapping
| Domain | Parts (nodes) | Relationships (edges) |
|---|---|---|
| Code | Components, modules, functions | Dependencies, calls, imports |
| Project organization | Repos, packages, workspaces, build targets | Package dependencies, version constraints, build-time references, ownership |
| Runtime / deployment | Services, processes, containers, instances, threads | RPC/HTTP calls, message flows, network paths, replication, lifecycle order |
| Data model | Entities, fields, types | References, joins, constraints |
| Workflow | Steps, stages, decisions | Transitions, triggers, sequencing |
| UI / spatial | Screens, regions, elements | Navigation, data flow, visual links |
| Organization (people) | Roles, teams, systems | Authority, communication, data exchange |
| Temporal | Events, states, phases | Causal or sequential ordering |
3. Heuristic Checks
Fast proxies — not substitutes for measurement.
| Check | Signal | Axis |
|---|---|---|
| Symmetry | Structure more uniform after | D↓ |
| Vocabulary | Describable with fewer concepts | D↓ |
| Boundary | Fewer relationships crossing boundaries | K↓ |
| Cycle broken | Dependency cycle eliminated | K↓ + §1 fault |
| Chain | Fewer hops source-to-sink | P↓ |
| Count | Fewer parts | n↓ |
| Ripple | Typical change in this area touches many parts | K |
| Consistency points | Each public unit (route, right, config key) drags N hand-maintained artifacts — handler, guard, contract entry, registry row, tests; removing the unit deletes them all | n, K |
4. Reduction Operations
D↓ — Reduce Diversity
| Operation | Mechanism |
|---|---|
| Unification | Merge distinct things that serve the same role |
| Normalization | Reduce variants to a single canonical form |
| Generalization | Replace N specific cases with one general case |
| Abstraction | Hide variation behind a common interface |
| Symmetrization | Impose mirror structure so parts become interchangeable |
| Deduplication | Eliminate redundant copies |
| Patternization | Apply a recurring structure — differences become instances, not exceptions |
| Cohesion | Group what changes together; the unit expresses one concept |
[!WARNING] Unification guardrail — referencing-list uniformity. Merging vocabulary items (rights, routes, types, statuses, config keys) is safe only when every member is uniform with respect to every other list that references them — ban/allow lists, separation-of-duties pairs, fixed scopes, party or tenant restrictions, protocol mappings. A merged item cannot be half-banned or half-granted: one non-uniform member blocks the merge or must stay separate. Enumerate the referencing lists and check uniformity before claiming a D↓ or n↓ from Unification, Generalization, or Merging.
K↓ — Reduce Coupling
| Operation | Mechanism |
|---|---|
| Encapsulation | Hide internals so others cannot form dependencies on them |
| Indirection | Insert a mediator — two parts no longer reference each other directly |
| Inversion | Flip a dependency (depend on abstraction, not concretion) |
| Stratification | Impose directed acyclic ordering (layering) |
| Temporal decoupling | Replace synchronous direct binding with asynchronous mediation |
P↓ — Reduce Depth
| Operation | Mechanism |
|---|---|
| Flattening | Merge adjacent layers with no independent reason to exist |
| Inlining | Pull deep content up to the level that uses it |
| Direct binding | Replace A→B→C with A→C where B adds no value (raises K — verify product) |
[!WARNING] A facade hides chain depth; it does not reduce it. Verify actual P, not visible P.
n↓ — Reduce Quantity
| Operation | Mechanism |
|---|---|
| Elimination | Remove a part entirely — absolute edge count can drop with every deleted incident edge; recompute both edge count and density |
| Merging | Collapse two parts into one (may raise internal K — verify product) |
Multi-axis — Reduce Simultaneously
| Operation | Mechanism |
|---|---|
| Decomposition | Split along natural seams → K↓, D↓, P↓ in local subgraphs |
| Factoring | Extract common part → D↓ (dedup) + K↓ (N deps collapse to 1) |
| Separation of concerns | One responsibility per unit → D↓ internal + K↓ external |
5. Topology Constraint
Treat a dependency structure as a directed topology with explicit positions, interfaces, locality, and separately measured relationship fields. Bounded public surfaces and local neighbor sets cap K, directional static edges cap P, cohesive positions bound n, and consistent component forms cap D. Decompose along domain, abstraction-tier, or layer seams only when the proposed cut improves the measured vector.
For dependency projections that require acyclicity, reject cycles before scoring trade-offs. For runtime feedback, name the cycle semantics and measure the chosen acyclic projection separately.
For declared placement, observed fields, candidate boundary decisions, and
enforcement handoffs, see morphogenetic-architecture.
6. Trade-off Matrix
Reducing one axis usually raises another. Examples lean software but the moves apply to any structure.
| Restructuring | D | K | P | n | Verdict |
|---|---|---|---|---|---|
| Add abstraction tier — ≥3 concrete instances | ↑ | ↓ | ↑ | ↑ | Candidate proceed (§7a Conformance); verify semantics match |
| Add abstraction tier — <3 instances or speculative | ↑ | ↑ | ↑ | ↑ | Candidate reject — Rule of 3; verify no external constraint |
| Add facade — over a 4-step chain | ↑ | — | hides P | ↑ | Keep only if K↓ measurable; never claim P↓ (§4 warning) |
| Flatten — intermediate part has no independent role | — | ↑ | ↓ | ↓ | Candidate proceed; verify internal K and invariants bounded |
| Extract common part — ≥3 dependents | ↓ | ↓ | — | ↑ | Candidate proceed; verify lifecycle and ownership match |
| Bypass a part — bypassed has no independent role | — | ↑ | ↓ | ↓ | Candidate proceed; verify no boundary or policy is bypassed |
| Introduce mediator between 2 parts | ↑ | ↑ | ↑ | ↑ | Candidate reject unless it enforces a boundary or decouples time |
| Merge two cohesive parts | ↓ | within ↑ | ↓ | ↓ | Candidate proceed; verify internal K stays bounded |
| Split overloaded part along an SoC seam | ↓ | ↓ | ↑ | ↑ | Candidate proceed; verify caller paths remain understandable |
7. Asymmetric Trade-offs
Cases where net axis effect is positive despite local cost.
7a. Conformance (Pattern Alignment)
Accept local structural cost to eliminate a unique shape from D only when the standard pattern fits the same semantics, lifecycle, ownership, and external constraints. One snowflake among ten uniform parts can inflate D disproportionately, but a real domain distinction should be named and preserved.
7b. Scope Reduction (Deletion)
Remove or deprecate special functionality if its structural footprint exceeds
its utility and the functionality-complexity-tradeoff verdict allows safe
removal. Special cases are complexity multipliers: D↑ (unique patterns), K↑
(conditional paths), P↑ (extended chains), n↑ (supporting parts). The cost of
a feature includes every special case it forces elsewhere, plus the migration
and compatibility work needed to remove it safely.
7c. Atomicity Requirements
When an action coordinates multiple independent participants (services,
actors, steps, partners), the atomicity decision has direct structural cost.
Decide before implementation — see architecture-guidelines §5
Atomicity.
| Decision | Structural effect | Action |
|---|---|---|
| Atomicity required | K↑ P↑ | Accept coupling; use fail-fast / compensation |
| Eventual consistency | K↓ P↓ | Document acceptable partial-failure states |
Anti-Pattern: designing multi-step operations without deciding atomicity first.
8. Decision Protocol
-
Model before-state and after-state. Record D, K, P, n for each (internal axes; see Reporting Vocabulary for the coder-facing field names).
-
Cycle check. If the modeled projection is required to be acyclic, a cycle in the after-state is a hard fault — fix before continuing. If the domain permits cycles, record the cycle semantics and score the chosen acyclic projection separately.
-
Answer the forcing questions in writing (one line each):
- D: What unique pattern does this introduce that no sibling uses? (Name the 2nd concrete instance; absence = Rule-of-3 violation.)
- K: Which previously-independent parts does this link?
- P: How long is the longest dependency chain a typical change traverses? (>3 hops → max-chain-depth is itself the cost.)
- n: If deleted, what would dependents do? (If "use the thing it wraps," it's a no-op facade.)
- Counterfactual: Does §7a or §7b apply? What is the 12-month removal cost?
-
Check non-structural gates. Confirm the candidate still satisfies required behavior, security/privacy, compliance, observability, performance, migration, and rollback constraints. Structural improvement is not permission to break a required property.
-
Classify:
Pattern Action All axes improve or hold Proceed if non-structural gates pass Mixed (some improve, some worsen) Consult §6 trade-offs, apply §7, then check gates No axis improves Reject or redesign unless required by an external gate -
Emit a coder-facing decision record (see Reporting Vocabulary for the symbol mapping):
Subject: <structure / module / refactor under review> Decision: Proceed | Redesign | Reject (retrospective: KEEP | SIMPLIFY | DELETE) Component-kinds Δ: <±n> (evidence: novel pattern, 2nd concrete instance) Dependency-edges Δ: <±n> (evidence: what newly couples to what) Max-chain-depth Δ: <±n> (evidence: longest path before → after) Module-count Δ: <±n> (evidence: parts added / removed) Cycle: Pass | Fail Non-structural gates: Pass | Fail | Not evaluated Trade-off: <§6 row matched; §7 sub-section if asymmetric> Rationale: <1–3 sentences tying the four deltas and forcing-Q answers → decision> Next action: <edit, test, lint rule, measurement, or smaller alternative> Verification: <command / graph check / review evidence, or Not run + reason>
[!IMPORTANT] If no axis improves, state: "Complexity Warning: Component-kinds Δ [X], Dependency-edges Δ [Y], Max-chain-depth Δ [Z], Module-count Δ [W]. A simpler alternative is [...]."
9. See also
architecture-guidelines— first-principles discipline that informs Δ scoring (YAGNI, Rule of 3, DRY, SoC).morphogenetic-architecture— placement and topology rationale; static cycles remain forbidden while explicit runtime feedback is modeled separately.functionality-complexity-tradeoff— consumesD, K, P, ndeltas in its cost ledger.defect-shift-left— earliest stage to catch each axis violation.continuous-improvement— when a recurring axis violation signals a missing rule.
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