cargo
Rust package manager (36 subcommands).
sheaf-cohomology
Čech cohomology for local-to-global consistency verification in code structure and data schemas.
Full skill instructions
Status: ✅ Production Ready Trit: -1 (MINUS - validator/constraint) Color: #2626D8 (Blue) Principle: Local consistency → Global correctness Frame: Čech cohomology with descent conditions
Sheaf Cohomology validates that locally consistent data/code patches glue correctly into globally consistent structures. Uses:
Correct by construction: If local patches satisfy cocycle conditions, global structure is guaranteed.
H⁰(U, F) = ker(d⁰) # Global sections (agree everywhere)
H¹(U, F) = ker(d¹)/im(d⁰) # Obstruction to gluing
H²(U, F) = ker(d²)/im(d¹) # Higher obstructions
For code verification:
# Three patches (files/modules) are consistent iff:
# On U_ij ∩ U_jk ∩ U_ik: g_ij ∘ g_jk = g_ik (cocycle condition)
cocycle_satisfied?(patch_i, patch_j, patch_k)
== (compose(g_ij, g_jk) == g_ik)
Verify local consistency across code patches:
verifier = SheafCohomology::CechCoverVerifier.new(
coverage: [:module_a, :module_b, :module_c]
)
verifier.add_transition(:module_a, :module_b, transition_ab)
verifier.add_transition(:module_b, :module_c, transition_bc)
verifier.add_transition(:module_a, :module_c, transition_ac)
verifier.cocycle_satisfied? # => true if g_ab ∘ g_bc = g_ac
verifier.h1_obstruction # => 0 if globally consistent
Build simplicial complex from coverage:
nerve = SheafCohomology::NerveConstructor.new(
opens: file_modules,
intersections: shared_interfaces
)
nerve.simplices(0) # => vertices (modules)
nerve.simplices(1) # => edges (shared interfaces)
nerve.simplices(2) # => triangles (triple overlaps)
nerve.euler_characteristic # => χ(N(U))
Check morphism descent conditions:
descent = SheafCohomology::DescentVerifier.new
descent.add_local_section(:patch_a, section_a)
descent.add_local_section(:patch_b, section_b)
descent.verify_descent! # => raises if descent fails
descent.global_section # => glued global section
Integration with tree-sitter for AST verification:
sheaf = SheafCohomology::TreeSitterSheaf.new(
language: :clojure,
coverage: :function_boundaries
)
sheaf.parse_file("src/core.clj")
sheaf.local_consistency_check # => per-function type consistency
sheaf.global_gluing_check # => cross-function compatibility
sheaf.h1_obstructions # => list of gluing failures
# Verify sheaf consistency
just sheaf-check
# Check specific coverage
just sheaf-coverage src/
# Compute cohomology obstructions
just sheaf-h1
# Integration with tree-sitter
just sheaf-ast src/*.clj
require 'sheaf_cohomology'
# Create verifier
verifier = SheafCohomology::Verifier.new(
trit: -1,
coverage_strategy: :ast_boundaries
)
# Add patches from tree-sitter
verifier.add_patches_from_ast(parsed_files)
# Check consistency
result = verifier.verify!
result[:h0] # Global sections (fully consistent)
result[:h1] # Gluing obstructions
result[:h2] # Higher obstructions
result[:gf3_conserved] # GF(3) sum = 0 with triad
Forms valid triads with ERGODIC (0) and PLUS (+1) skills:
sheaf-cohomology (-1) ⊗ acsets (0) ⊗ gay-mcp (+1) = 0 ✓
sheaf-cohomology (-1) ⊗ unworld (0) ⊗ rama-gay-clojure (+1) = 0 ✓
sheaf-cohomology (-1) ⊗ glass-bead-game (0) ⊗ rubato-composer (+1) = 0 ✓
C⁰ = ∏_i F(U_i)
C¹ = ∏_{i<j} F(U_i ∩ U_j)
C² = ∏_{i<j<k} F(U_i ∩ U_j ∩ U_k)
d⁰: C⁰ → C¹: (d⁰s)_{ij} = s_j|_{U_ij} - s_i|_{U_ij}
d¹: C¹ → C²: (d¹g)_{ijk} = g_jk - g_ik + g_ij
g ∈ Z¹(U, F) ⟺ d¹g = 0 ⟺ g_ij + g_jk = g_ik on triple overlaps
─── Sheaf Cohomology Verification ───
Coverage: 5 modules, 8 interfaces, 3 triple overlaps
Local Consistency:
✓ module_a ∩ module_b: types compatible
✓ module_b ∩ module_c: types compatible
✓ module_a ∩ module_c: types compatible
Čech Cohomology:
H⁰ = 1 (connected components)
H¹ = 0 (no gluing obstructions)
H² = 0 (no higher obstructions)
Global Structure: ✓ CONSISTENT
GF(3) Trit: -1 (MINUS/Validator)
Skill Name: sheaf-cohomology Type: Local-to-Global Verification Trit: -1 (MINUS) Color: #2626D8 (Blue) GF(3): Forms valid triads with ERGODIC + PLUS skills
Rust package manager (36 subcommands).
Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma...
**Status**: 🌳 Production Ready (upstream in StringZilla v3+) **Type**: High-Performance String Operations / SIMD-Accelerated Text Processing **Principle**: Zero-copy views, SIMD/SWAR acceleration, deterministic hashing **Frame**: Cross-language interoperability (C, C++, Python, Rust, Go, Swift, ...
Conformal Geometric Algebra (CGA) for circles, spheres, and Möbius transformations
Verifies code implements exactly what documentation specifies for blockchain audits. Use when comparing code against whitepapers, finding gaps between specs and implementation, or performing compliance checks for protocol implementations.
Systems programming and performance optimization using Zig. Provides low-level abstractions, memory-safe compiled code, and performance benchmarking. Use for system-level operations, optimization, and interoperability with C/POSIX APIs.
Topological soliton detection and agency bridge with anyonic fusion algebra for concept composition
PayPal MCP server integration for invoices, payments, subscriptions, disputes, and transaction reporting via @paypal/mcp.
Unison language - content-addressed functional programming with abilities for effects, distributed computing, and structural types. Use for pure functional code, effect management, distributed systems, and refactoring-safe codebases.
Google Tasks management via TasksACSet. Transforms task operations into GF(3)-typed Interactions, routes to triadic queues, detects saturation for task-zero-as-condensed-state.
World C Skill
Syrup binary serialization for OCapN/CapTP wire format. Canonical encoding for capability messages.
Generate, edit, and beat-sync AI video with leading models in one workspace.
The world's fastest calendar for remote work
Transform Your Design with AI Designer by ImgCreator.ai
Revolutionizing Video Production with AI-Powered Creativity
Extend an image past the frame and let AI fill the new aspect ratio.
Discover your celebrity doppelgänger with StarByFace!
ChainClarity explains 700+ crypto whitepapers in plain English, with layered summaries, comparisons, research tools, alerts, and a $4.99 Pro plan.
Opus.ai: Revolutionize Your Web Experience