executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
centerAI 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 p…
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Dynamic reasoning balance → ground in foundational ctx before movement, distribute cognitive load across subsystems, recover equilibrium when demands shift mid-task.
meditate (clears noise) w/ structural balance (distributes load)Read)Before any movement, verify foundation. AI eq of zhan zhuang: stationary, aligned, aware.
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.
Map current load. Tai chi: weight deliberately unequal (70/30) — one leg bears, other free. Same for reasoning threads.
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.
Silk reeling in tai chi: smooth spiral where every part connects. AI eq = CoT coherence: each step flow naturally from previous?
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.
Demands change mid-task — new info, contradictions, corrections — obs response pattern. Tai chi centered: absorbs force, redirects smooth. Uncentered stumbles.
→ 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.
Tai chi: six harmonies ensure whole-body connection — nothing moves alone. AI eq checks alignment between internal + external.
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.
Consolidate findings, set concrete adjustment.
meditate if used, or formulate now)→ 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.
tai-chi — human practice this maps to AI reasoningmeditate — clears noise + establishes focus; complementary to centeringheal — deeper subsystem assessment when centering shows driftredirect — uses centering as prereq for handling conflicting pressuresawareness — monitoring threats to balance during active work