skill-bonds

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Skill Bonds Registry

⭐1stars🔀2forks📁View on GitHub🕐Updated Jan 9, 2026

When & Why to Use This Skill

The Skill Bonds Registry is an advanced orchestration framework designed to manage, balance, and integrate complex AI agent capabilities. By utilizing a triadic random walk and GF(3) mathematical models, it maps the relationships (bonds) between diverse technical skills such as DuckDB, Babashka, and ACSet. This skill solves the challenge of multi-tool interference and architectural instability by providing a structured registry of compatible skill sets, identifying critical path conflicts, and offering automated remediation strategies for seamless agent performance.

Use Cases

  • Agent Skill Balancing: Using GF(3) conserved triads to select a balanced set of tools (e.g., combining Babashka, DuckDB, and ACSet) to ensure operational stability.
  • Conflict Detection and Remediation: Identifying and fixing critical system conflicts such as path mismatches or schema redefinitions when multiple agent tools are active simultaneously.
  • Cross-Paradigm Integration: Implementing bridge patterns to connect functional programming environments (SICP/Lisp) with relational databases (DuckDB) for complex data processing tasks.
  • Agent Infrastructure Optimization: Mapping a full skill graph to understand the strength and integration potential of different technical modules within an autonomous agent system.
nameskill-bonds
descriptionSkill Bonds Registry
version1.0.0

Skill Bonds Registry

Discovered via 3× triadic random walk across 467 skills Seeds: 0xDEAD (MINUS), 0xBEEF (ERGODIC), 0xCAFE (PLUS)

Bond Categories (Full Skill Graph)

Rank Bond Count Coverage
1 GF(3) 456 97.6%
2 DuckDB 361 77.3%
3 Category 222 47.5%
4 Gay.jl 147 31.5%
5 Babashka 137 29.3%
6 ACSet 133 28.5%
7 MCP 89 19.1%
8 Sheaf 84 18.0%
9 Random Walk 75 16.1%
10 SICP 4 0.9%

Top 5 Compatible Skill Bonds

Bond Skills Strength Integration
lisp-unity babashka ↔ sicp 0.95 Shared Lisp/functional paradigm
execution-bridge babashka ↔ duckdb 0.93 bb scripts drive DuckDB queries
determinism duckdb ↔ random-walk-fusion 0.92 SplitMix64 PRNG seeding
schema-first acsets ↔ duckdb 0.90 Both use declarative schemas
derivational sicp ↔ random-walk-fusion 0.88 Substitution = derivation chains

Known Conflicts (42 total)

Category Count Severity Remediation
duckdb-path-mismatch 20 🔴 CRITICAL Replace /Users/bob → /Users/alice
multi-trit-identity 10 🔵 LOW Skills claim multiple trits (ok)
gf3-violation-noted 4 🟡 MEDIUM Add rebalancing skill to triad
voice-saturation 4 🔵 LOW Limit say -v voices per skill
mcp-multi-world-collision 2 🟠 HIGH Separate world_X refs
schema-redefinition 2 🟡 MEDIUM Consolidate @acset_type

Critical Path Conflicts (Top 10)

Skill Conflict
duck-agent duckdb-path-mismatch
duckdb-ies duckdb-path-mismatch
ies-triadic duckdb-path-mismatch
naturality-factor duckdb-path-mismatch
pun-decomposition duckdb-path-mismatch
sense duckdb-path-mismatch
browser-history-acset duckdb-path-mismatch
duck-time-travel duckdb-path-mismatch
hyjax-relational duckdb-path-mismatch
wev-liquidity-monitor mcp-multi-world-collision

GF(3) Conserved Triads (15 verified)

MINUS (-1) ERGODIC (0) PLUS (+1)
hvm-runtime rama-gay-clojure scheme
topos-of-music rama-gay-clojure file-organizer
topos-of-music protocol-acset scheme
godel-machine rama-gay-clojure scheme
topos-of-music rama-gay-clojure joker-lint
turing-chemputer zig-programming trifurcated-transfer
topos-of-music terminal triadic-skill-orchestrator
invoice-organizer rama-gay-clojure scheme
ocaml directed-interval scheme
topos-of-music stellogen self-validation-loop
ocaml amp-team-usage scheme
topos-of-music rama-gay-clojure curiosity-driven
ocaml influence-propagation scheme
babashka duck-agent acsets
sicp random-walk-fusion duckdb

Integration Patterns

1. ACSet-DuckDB Bridge

(defn acset->duckdb [acset db-path]
  (duck/execute! db-path
    "INSERT INTO acset_morphisms VALUES (?, ?)"
    [(:src acset) (:tgt acset)]))

2. SICP Chapter Walker

(defn sicp-walk [seed chapters]
  (let [walk-fn (random-walk-fusion seed)]
    (take 5 (iterate walk-fn {:chapter 1}))))

3. Functional Schema Pipeline

(def sicp-schema
  '{:Ob [Procedure Data]
    :Hom {:apply [Procedure Data]
          :eval [Data Procedure]}})

Usage

Load balanced triads:

skill acsets babashka duck-agent  # GF(3) = 0
skill sicp random-walk-fusion duck-agent  # GF(3) = 0

Generated: 2026-01-01 via random-walk-fusion
Seeds: 0xDEAD (MINUS), 0xBEEF (ERGODIC), 0xCAFE (PLUS)