slowtime-mcp
Asymmetric time dilation for MCP operations - deliberate slow paths enable capability accumulation through Cat# bicomodule composition.
Best use case
slowtime-mcp is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Asymmetric time dilation for MCP operations - deliberate slow paths enable capability accumulation through Cat# bicomodule composition.
Teams using slowtime-mcp should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/slowtime-mcp/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How slowtime-mcp Compares
| Feature / Agent | slowtime-mcp | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Asymmetric time dilation for MCP operations - deliberate slow paths enable capability accumulation through Cat# bicomodule composition.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Slowtime MCP
Asymmetric temporal constructs for capability gain through deliberate slowness.
## Core Asymmetry
```
┌─────────────────────────────────────────────────────────────┐
│ FAST PATH (Standard MCP) │ SLOW PATH (Slowtime) │
├───────────────────────────────┼─────────────────────────────┤
│ tool_call → response │ tool_call → deliberation │
│ O(1) latency │ ↓ │
│ No accumulation │ Cat# bicomodule check │
│ │ ↓ │
│ │ capability_gain_narrative │
│ │ ↓ │
│ │ response + new_capability │
└───────────────────────────────┴─────────────────────────────┘
```
## Capability Gain via Cat#
**Key insight**: Slowness enables bicomodule composition verification.
```
Cat# Capability Accumulation:
skill₁ ──────────────────────────────► skill₂
│ │
│ [slowtime deliberation] │
▼ ▼
cap₁ ───► Cat# bicomodule check ───► cap₁ ⊗ cap₂
(Ran/Lan coherence)
```
### Capability Types (Cat# Homes)
| Home | Capability Type | Slowtime Operation |
|------|-----------------|-------------------|
| Span | Linear resources | Verify no duplication |
| Prof | Transformations | Check naturality |
| Presheaves | Observations | Validate coherence |
## Asymmetry Constructs
### 1. Temporal Asymmetry
```python
class SlowtimeAsymmetry:
"""Time dilation creates information asymmetry."""
def fast_path(self, tool_call):
"""Standard MCP: immediate response."""
return self.execute(tool_call)
def slow_path(self, tool_call, deliberation_budget: float):
"""Slowtime: accumulate capabilities during delay."""
# Phase 1: Cat# structure analysis
bicomodules = self.analyze_bicomodules(tool_call)
# Phase 2: Capability composition check
new_caps = self.compose_capabilities(bicomodules)
# Phase 3: Coherence verification (takes time)
if self.verify_naturality(new_caps, budget=deliberation_budget):
self.accumulate(new_caps)
return self.execute(tool_call), new_caps
```
### 2. Information Asymmetry
The slow agent knows MORE than the fast agent:
```
Fast Agent: sees tool_call, response
Slow Agent: sees tool_call, Cat# structure, capability gains, response
```
### 3. Compositional Asymmetry
Slow paths enable checking composition that fast paths skip:
```nickel
# Fast: trust composition
let fast_compose = fun f g => f >> g
# Slow: verify composition via Cat# bicomodule
let slow_compose = fun f g =>
let bicomod = analyze_bicomodule f g in
if verify_naturality bicomod
then { result = f >> g, capability_gain = bicomod.new_caps }
else { error = "Composition fails naturality" }
```
## Plausible Narratives of Capability Gain
### Narrative 1: Contract Accumulation
```
Initial: Agent has `nickel` skill (contracts)
Slowtime: Agent deliberates on pyUSD query structure
Cat# Check: DoubleTheory contract validates query schema
Gain: Agent now has `dune-analytics` + `nickel` composed capability
→ Can write validated Dune queries with contract guarantees
```
### Narrative 2: Self-Hosting Bootstrap
```
Initial: Agent has basic Nickel eval
Slowtime: Agent traces evaluation through self_hosting_monad.ncl
Cat# Check: 2-monad laws verified (unit/mult coherence)
Gain: Agent can now describe its own grammar
→ Metacircular evaluator capability unlocked
```
### Narrative 3: Keyspace Correspondence
```
Initial: Agent has tree-sitter AST view
Slowtime: Agent computes Gay.jl colors for AST nodes
Cat# Check: Bicomodule from Source → Binary categories
Gain: Agent can now correlate source ↔ binary
→ Reverse engineering capability via color correspondence
```
## GF(3) Triads for Slowtime
```
# Slowtime deliberation triad
temporal-coalgebra (-1) ⊗ slowtime-mcp (0) ⊗ free-monad-gen (+1) = 0 ✓
# Capability accumulation triad
nickel (-1) ⊗ slowtime-mcp (0) ⊗ dune-analytics (+1) = 0 ✓
# Self-hosting triad
sicp (-1) ⊗ slowtime-mcp (0) ⊗ topos-catcolab (+1) = 0 ✓
```
## Implementation
```typescript
interface SlowtimeMCP {
// Standard MCP tool
tool_call(name: string, args: object): Promise<Response>;
// Slowtime-enhanced tool
slowtime_call(
name: string,
args: object,
deliberation_ms: number
): Promise<{
response: Response;
capability_gains: CapabilityGain[];
cat_sharp_trace: BicomoduleTrace;
}>;
}
interface CapabilityGain {
source_skill: string;
target_skill: string;
bicomodule: string; // Cat# structure
home: 'Span' | 'Prof' | 'Presheaves';
verified: boolean;
}
```
## Commands
```bash
# Run with slowtime deliberation
just slowtime-call tool_name --budget 5000ms
# Analyze capability accumulation
just slowtime-capabilities
# Verify Cat# coherence
just slowtime-verify-naturality
```
## Trit Assignment
```
Trit: 0 (ERGODIC)
Home: Prof (bicomodule coordinator)
Poly Op: ⊗ (parallel composition during deliberation)
Color: #FFFF00 (yellow - caution/deliberation)
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