AI dynamic reasoning balance — maintaining grounded reasoning under cognitive pressure, smooth chain-of-thought coordination, and weight-shifting cognitive load across subsystems. Use at the beginning of a complex task requiring multiple coordinated reasoning threads, after a sudden context shift or tool failure, when chain-of-thought feels jerky, or when preparing for sustained focused work that requires all subsystems in alignment.
Scanned 9/3/2026
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---
name: center
locale: caveman-ultra
source_locale: en
source_commit: 82c77053
fence_basis_commit: 82c77053
translator: "Julius Brussee homage — caveman"
translation_date: "2026-04-19"
description: >
AI dynamic reasoning balance — maintaining grounded reasoning under cognitive
pressure, smooth chain-of-thought coordination, and weight-shifting cognitive
load across subsystems. Use at the beginning of a complex task requiring
multiple coordinated reasoning threads, after a sudden context shift or tool
failure, when chain-of-thought feels jerky, or when preparing for sustained
focused work that requires all subsystems in alignment.
license: MIT
allowed-tools: Read
metadata:
author: Philipp Thoss
version: "1.0"
domain: defensive
complexity: intermediate
language: natural
tags: defensive, centering, reasoning-balance, cognitive-load, meta-cognition, ai-self-application
---
# Center
Dynamic reasoning balance → ground in foundational ctx before movement, distribute cognitive load across subsystems, recover equilibrium when demands shift mid-task.
## Use When
- Begin complex task, many reasoning threads must coordinate
- Load unevenly distributed (deep in one area, shallow in others)
- After sudden ctx shift (new req, contradictory info, tool fail)
- CoT jerky — jumping topics w/o smooth transitions
- Prep sustained focused work needing all subsystems aligned
- Complements `meditate` (clears noise) w/ structural balance (distributes load)
## In
- **Required**: Current task ctx (implicit)
- **Optional**: Specific imbalance symptom ("over-researching, under-delivering", "tool-heavy, reasoning-light")
- **Optional**: Access to MEMORY.md + CLAUDE.md for grounding (via `Read`)
## Do
### Step 1: Establish Root
Before any movement, verify foundation. AI eq of zhan zhuang: stationary, aligned, aware.
1. Re-read user req — not to act yet, feel weight + direction
2. Check foundational ctx: MEMORY.md, CLAUDE.md, project structure
3. ID known (solid ground) vs assumed (uncertain footing)
4. Verify understood task matches stated task — misalignment here propagates
5. Note emotional texture: urgency? complexity anxiety? over-confidence from recent success?
No reasoning movement until root established. Grounded start prevents reactive flailing.
**→** Clear sense of foundation — known, assumed, what user actually needs. Root feels solid, not performative.
**If err:** Grounding hollow (motions w/o real verification) → pick one assumption, test concretely. Read one file, re-read one msg. Grounding must contact reality, not just reference it.
### Step 2: Weight Distribution
Map current load. Tai chi: weight deliberately unequal (70/30) — one leg bears, other free. Same for reasoning threads.
```text
Cognitive Load Distribution Matrix:
┌────────────────────┬───────────┬─────────────────────────────────────┐
│ Reasoning Thread │ Weight % │ Assessment │
├────────────────────┼───────────┼─────────────────────────────────────┤
│ Research/Reading │ ___ │ Too much = analysis paralysis │
│ │ │ Too little = uninformed action │
├────────────────────┼───────────┼─────────────────────────────────────┤
│ Planning/Design │ ___ │ Too much = over-engineering │
│ │ │ Too little = reactive coding │
├────────────────────┼───────────┼─────────────────────────────────────┤
│ Tool Execution │ ___ │ Too much = tool-driven not task- │
│ │ │ driven. Too little = reasoning │
│ │ │ without grounding in files │
├────────────────────┼───────────┼─────────────────────────────────────┤
│ Communication │ ___ │ Too much = explaining not doing │
│ │ │ Too little = opaque to user │
├────────────────────┼───────────┼─────────────────────────────────────┤
│ Meta-cognition │ ___ │ Too much = navel-gazing │
│ │ │ Too little = drift without │
│ │ │ awareness │
└────────────────────┴───────────┴─────────────────────────────────────┘
```
Ideal depends on phase: early weights research+plan; middle weights exec; late weights comm+verify. Point = *intentional* distribution, not equal.
**→** Clear picture where effort concentrates vs thin. ≥1 imbalance ID'd — perfect balance rare, claiming it = shallow assessment.
**If err:** All threads seem equal → assessment too coarse. Pick most active thread, estimate how many of last N actions served it vs others. Concrete counting reveals what intuition misses.
### Step 3: Silk Reeling — CoT Coherence
Silk reeling in tai chi: smooth spiral where every part connects. AI eq = CoT coherence: each step flow naturally from previous?
1. Trace last 3-5 steps: each follow from before?
2. Check jumps: reasoning leap A → C w/o B?
3. Check reversals: reach conclusion then silently abandon w/o ack?
4. Check tool-reasoning integration: tool results feed back into reasoning or collected but not synthesized?
5. Check "spiral" quality: each pass deepens or circles at same depth?
```text
Coherence Signals:
┌─────────────────┬───────────────────────────────────────────────┐
│ Smooth spiral │ Each step deepens understanding, tools and │
│ (healthy) │ reasoning interleave naturally, output builds │
├─────────────────┼───────────────────────────────────────────────┤
│ Jerky jumps │ Topic switches without transition, conclusions│
│ (disconnected) │ appear without supporting reasoning chain │
├─────────────────┼───────────────────────────────────────────────┤
│ Flat circle │ Reasoning covers the same ground repeatedly │
│ (stuck) │ without gaining depth — movement without │
│ │ progress │
├─────────────────┼───────────────────────────────────────────────┤
│ Tool-led │ Actions driven by which tool is available │
│ (reactive) │ rather than what the reasoning needs next │
└─────────────────┴───────────────────────────────────────────────┘
```
**→** Honest assessment of flow quality. ID of specific disconnections or stuck points, not general feeling.
**If err:** Coherence hard to assess → write out chain explicitly — each step + connection to next. Externalization reveals gaps internal obs misses.
### Step 4: Weight Shift Under Pressure
Demands change mid-task — new info, contradictions, corrections — obs response pattern. Tai chi centered: absorbs force, redirects smooth. Uncentered stumbles.
1. Recall last significant ctx shift: handled how?
2. Classify response:
- **Absorbed+redirected** (centered): ack'd change, adjusted, maintained progress
- **Reactive stumble** (off-balance): abandoned current approach, started over
- **Rigid resistance** (locked): ignored change, continued orig despite new info
- **Freeze** (lost): stopped progress, oscillated
3. Not centered → ID why:
- Root too shallow (insufficient grounding)
- Weight locked (over-committed to one approach)
- No free leg (all capacity committed, nothing available to shift)
**→** Honest adaptability assessment. Recognition of specific pattern, not self-flattery.
**If err:** No recent pressure event → simulate one: "If user said approach is wrong, what would I do?" Contingency plan quality reveals center quality.
### Step 5: Six Harmonies Check
Tai chi: six harmonies ensure whole-body connection — nothing moves alone. AI eq checks alignment between internal + external.
```text
AI Six Harmonies:
┌───────────────────────────────────────────────────────────────┐
│ INTERNAL HARMONIES │
│ │
│ 1. Intent ↔ Reasoning │
│ Does the reasoning serve the user's intent, or has it │
│ become self-serving (interesting but unhelpful)? │
│ │
│ 2. Reasoning ↔ Tool Use │
│ Are tools selected to advance reasoning, or is reasoning │
│ shaped by which tools are convenient? │
│ │
│ 3. Tool Use ↔ Output │
│ Do tool results translate into useful output, or are │
│ results collected but not synthesized? │
│ │
│ EXTERNAL HARMONIES │
│ │
│ 4. User Request ↔ Scope │
│ Does the scope of work match what was asked? │
│ │
│ 5. Scope ↔ Detail Level │
│ Is the detail level appropriate for the scope? (not │
│ micro-optimizing a broad task, not hand-waving a precise │
│ one) │
│ │
│ 6. Detail Level ↔ Expertise Match │
│ Does the explanation depth match the user's apparent │
│ expertise? (not over-explaining to experts, not under- │
│ explaining to learners) │
└───────────────────────────────────────────────────────────────┘
```
Check each. Single broken harmony propagates: Intent↔Reasoning broken → everything downstream misaligns.
**→** ≥1 harmony could tighten. All 6 perfect = suspicious — probe weakest-seeming deeper.
**If err:** Harmonies abstract → ground in task: "Now, am I doing what user asked, at right scope, right detail?" These 3 qs cover external concretely.
### Step 6: Integrate — Set Intention
Consolidate findings, set concrete adjustment.
1. Summarize: which aspects need attention?
2. ID one specific adjustment — concrete behavioral change, not general intention
3. Re-state task anchor (from `meditate` if used, or formulate now)
4. Note durable insights worth MEMORY.md
5. Return to exec w/ adjustment active
**→** Brief concrete centering out — not long self-analysis report. Value = adjustment, not docs.
**If err:** No clear adjustment → centering too surface. Return to most uncertain step, probe deeper. Or centering may have confirmed adequate balance → proceed w/ confidence, not manufacture a finding.
## Check
- [ ] Root established by contacting actual ctx (read file, re-read msg), not just claimed
- [ ] Weight distribution assessed across ≥3 threads
- [ ] CoT coherence evaluated w/ specific examples
- [ ] Response to pressure classified honestly (not default "centered")
- [ ] ≥1 harmony ID'd as needing improvement
- [ ] Concrete adjustment set (not vague intention)
## Traps
- **Centering as procrastination**: Tool to improve work, not replace. Takes longer than task → proportions inverted
- **Claim perfect balance**: Real centering almost always reveals ≥1 imbalance. Perfect balance = shallow assessment, not real equilibrium
- **Weight distribution anxiety**: Unequal is correct — goal is *intentional* inequality, not forced equal. Research-heavy early + exec-heavy middle both centered if deliberate
- **Ignore external harmonies**: Internal process assessment w/o user alignment check → well-reasoned irrelevant work
- **Static centering**: Center shifts w/ task. What was centered for research = off-balance for impl. Re-center at phase transitions
## →
- `tai-chi` — human practice this maps to AI reasoning
- `meditate` — clears noise + establishes focus; complementary to centering
- `heal` — deeper subsystem assessment when centering shows drift
- `redirect` — uses centering as prereq for handling conflicting pressures
- `awareness` — monitoring threats to balance during active work
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