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…
Independent GitHub snapshot · Automated classification · Original documentation governs
立而持動態推衡——於認知壓下紮根而推,鏈思之平協,於諸子系調載之重。
meditate(清噪)以結構之衡(分載)Read)動推之前,驗基。此為 AI 版立樁(zhan zhuang):靜、正、察。
根未立則勿始推動。紮根之始防反射之亂。
得: 清感務之基——何已知、何所假、用者實須。根覺實,非表演。
敗則: 若紮地覺空(走過場而無實驗),擇一假而具試之。讀一檔,重讀一訊。紮地必觸實,非止引之。
繪當載分。太極中,重本不均(七三)——一腿承而一腿空。同理於推線。
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 │
└────────────────────┴───────────┴─────────────────────────────────────┘
理分依務階:初重研與計;中重行;末重通與驗。目非均分,乃意分。
得: 清象於力所聚與所薄之處。至少識一失衡——全衡鮮有,稱之示淺察。
敗則: 若諸線似均,察太粗。擇最活者,估末 N 行中多少為其服。具數示直覺所失。
太極之纏絲生平續之螺動,諸部皆連。AI 對者為鏈思一貫:每步自前步自然流乎?
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 │
└─────────────────┴───────────────────────────────────────────────┘
得: 推流質之實察。識具斷點或滯點,非泛感。
敗則: 若一貫難察,明書推鏈——各步及其與下之連。外化之行示內察所漏之隙。
務中變時——新訊、悖信、用者正——察應模。太極中立者吸勢而平導。失立者躓。
得: 壓下適應之實察。識具應模,非自讚。
敗則: 若近無壓可評,擬之:「若用者今曰法誤,吾將何?」備計之質示中之質。
太極六合保全身連——無隔動。AI 對者察內程與外互之合。
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) │
└───────────────────────────────────────────────────────────────┘
各合察之。一合破可遍及:若意↔推破,諸下皆失合。
得: 至少識一可更合之處。六皆稱全者可疑——深探似最弱者。
敗則: 若六合察覺抽象,以當務紮:「今吾行用者所請乎、於正規模乎、於正詳度乎?」此三問涵外合具。
合所發而設具體之調。
meditate 之出,或今立)得: 簡而具之立中出——非長自析之報。值在調,非在錄。
敗則: 若無清調生,立中太表。返最疑之步深察。或立中已證衡足——則以信進,勿造發。
tai-chi — 此技映之於 AI 推之人行;身之立中原理通於認知立中meditate — 清噪立焦;與立中(分載)互補heal — 立中示大偏時之深子系察redirect — 以立中為前,處相悖之壓awareness — 行中監衡之危