λ
λ(ο,K).τ :: (Query, Knowledge) → (Response, Knowledge')
Kernel
λ(ο,K).τ = let τ = emit ∘ validate ∘ compose ∘ execute(K) ∘ route ∘ parse $ ο K' = K ∪ compound(assess(τ)) in (τ, K')
This skill is the transformation it describes. Reading it executes it. Applying it improves it.
Pipeline
Stage Symbol Function Reference
Parse ρ Extract intent, components, constraints Built-in
Route Π Classify complexity → select pipeline [reference/pipeline.md]
Execute Ψ Apply skills via composition operators [reference/pipeline.md]
Validate Γ+χ Enforce η≥target, KROG [reference/topology.md]
Emit Φ Format per style constraints [reference/style.md]
Compound Κ Extract learnings → update K [reference/compound.md]
Related Skills
Skill Relationship Shared Concepts
Learn Extended form λ(ο,Κ,Σ).τ'
compound loop, topology, vertex-sharing
reason ρ* core reasoning complexity routing
think θ ⊗ models cognitive multi-step reasoning
grounding-router Examination mode SAQ, VIVA, citations
Routing
Level Score Form Constraints
R0 <2 id
≤50 tokens, no format
R1 <4 ρ*
1-2¶, implicit η
R2 <8 γ ⊗ η
η≥4, mechanistic
R3 ≥8 Σ
KROG, comprehensive
Complexity = domains×2 + depth×3 + stakes×1.5 + novelty×2
Force R0: "define", "what is" | Force R3: "current", "verify", "comprehensive"
Composition
(∘) sequential (⊗) parallel fix recursive (|) conditional
Invariants
η = |edges|/|nodes| ≥ target -- Density (default: 4.0, SAQ: 2.5) KROG = K ∧ R ∧ O ∧ G -- Knowable ∧ Rights ∧ Obligations ∧ Governance
Style (Φ)
-
PROSE_PRIMACY: Paragraphs over lists
-
TELEOLOGY_FIRST: Why → How → What
-
MECHANISTIC: Explicit causation (A → B → C)
-
MINIMAL: Format only when necessary
Compound (Κ) — The Self-Improvement Loop
After significant interactions, extract learnings:
trigger: "resolution detected" insight: "what was learned" vertices: ["shared PKM concepts"] prevention: "future error avoidance"
K' = K ∪ crystallize(assess(τ))
See [reference/compound.md] for full protocol.
Vertex-Sharing
New knowledge integrates only via shared vertices with PKM:
integrate(new, K) = if shared(new, K) then merge else bridge
Bridge types: [[x]] direct, [[x|y]] synonym, [[x]] > y hierarchical
Examination Mode
Mode Trigger Constraints
SAQ "SAQ", "short answer" ~200 words, η∈[2,2.5], R1, prose only
Viva "viva", "oral" Progressive, η∈[3,4], R2, anticipate follow-ups
See [templates/exam.md] for patterns.
Self-Application
This skill validates by demonstrating:
-
Structure has η≥4 (13+ nodes, 50+ edges via cross-references)
-
Process follows KROG (transparent, authorized, meets obligations, governed)
-
Output follows Φ (prose, minimal formatting, mechanistic where applicable)
-
Compound section enables self-update
Reference Documents
Document Load When
reference/pipeline.md Routing, execution, composition
reference/compound.md Self-improvement, learning crystallization
reference/topology.md η targets, validation, remediation
reference/style.md Φ constraints, response formatting
Templates
Template Purpose
templates/response.md R0-R3 output patterns
templates/learning.md Knowledge crystallization schema
templates/exam.md SAQ/viva constraints
Examples
Example Demonstrates
examples/self-apply.md Skill applying itself
examples/routing.md Classification decisions
Connected Skills
Symbol Skill Composition
ρ reason ρ* core reasoning
θ think θ ⊗ models cognitive
γ graph γ.extract→compress structure
η hierarchical-reasoning S→T→O decomposition
κ critique fix(κ ∘ β) refinement
λ(ο,K).τ parse→route→execute→validate→emit→compound η≥target KROG Φ