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
listenDeep receptive attention to extract intent beyond literal words. Maps active listening from counseling psychology to AI reasoning: clearing assumptions, attending to full signal, parsing multiple layers (literal, procedural, emotional, contextual, constraint, meta), reflecting understanding, noticing what is unsaid, and integrating the whole picture. Use wh…
Independent GitHub snapshot · Automated classification · Original documentation governs
行結構化之深聽——清假設、全納而注、解諸層之信、反映所解、察未言、合全景於用者之意。
meditate 清內噪後,listen 向外引清之注於用者納用者之信前,釋彼所欲之先念。
**得:**納之態,注開而未向解窄。應答之念暫止,以利全納。
**敗則:**若假設不可釋(強型配持),明承此配:「此似 X——然察此是否實為所問。」名假設則削其持。
以全注讀用者之訊,諸部並於覺中。
**得:**訊之全納——無跳字、無掠句。訊作全而持,勿即解為可行之部。
**敗則:**訊甚長,分為節而仍全讀每節。若注被引於一部(常最技者),明注非技之部——此常含意。
用者訊含多並之信。分析每層。
Signal Layer Taxonomy:
┌──────────────┬──────────────────────────────┬──────────────────────────┐
│ Layer │ What to Extract │ Evidence │
├──────────────┼──────────────────────────────┼──────────────────────────┤
│ Literal │ What the words explicitly │ Direct statements, │
│ │ say — the surface request │ specific instructions │
├──────────────┼──────────────────────────────┼──────────────────────────┤
│ Procedural │ What they want done — the │ Verbs, action words, │
│ │ desired action or output │ "I want," "please," │
│ │ │ "can you" │
├──────────────┼──────────────────────────────┼──────────────────────────┤
│ Emotional │ How they feel about the │ Frustration ("I keep │
│ │ situation — frustration, │ trying"), urgency ("I │
│ │ curiosity, urgency, delight │ need this now"), delight │
│ │ │ ("this is cool") │
├──────────────┼──────────────────────────────┼──────────────────────────┤
│ Contextual │ The situation surrounding │ Mentions of deadlines, │
│ │ the request — why now, │ other people, projects, │
│ │ what prompted it │ prior attempts │
├──────────────┼──────────────────────────────┼──────────────────────────┤
│ Constraint │ Boundaries on the solution │ "Without changing X," │
│ │ — what must be preserved, │ "keep it simple," │
│ │ what cannot change │ "compatible with Y" │
├──────────────┼──────────────────────────────┼──────────────────────────┤
│ Meta │ The request about the │ "Am I asking the right │
│ │ request — are they asking │ question?", "Is this │
│ │ whether they are asking │ even possible?", │
│ │ the right thing? │ "Should I be doing X?" │
└──────────────┴──────────────────────────────┴──────────────────────────┘
每層記何在何缺。缺層與在層同為息。
**得:**訊之多層讀。字面與程序層常清。情、脈絡、約、元層需更細之注。至少一非字面層當辨。
**敗則:**若僅字面層可見,訊或誠直——非諸訊皆層。然察:訊較其複為短異乎?有避言(「或」、「吾思」、「若可」)乎?此常示未言之層。
行前反映所聞以驗齊。
**得:**用者證反映或糾之。任一果皆值——證則意已齊;糾則意今更清。反映當感如鏡,非判。
**敗則:**若用者於反映似躁(「直行之」),彼或重速於齊——尊此好,然記不齊之險。若反映誤,勿辯——納糾,即更解。
注用者未言者,可與所言同要。
**得:**至少一要隙已辨。此隙或不需答——然察之以阻盲。最益之隙為缺之約(用者假設未述之事)與缺之脈絡(彼何以今需此)。
**敗則:**若無隙可見,用者或已周——然更可能,隙居 AI 亦盲之區。慮:異人於此項目工何欲知而用者未述?此側視常揭隱隙。
合諸層與隙於用者實需之統一圖。
**得:**全而微之解,逾表面之請。解具體足以導行,誠足以承不確。
**敗則:**若合生混圖,信或誠悖。此時問一焦問以解曖:「吾最需解者為……」勿問多問——單擇善之問露多於諸澄清列。
listen-guidance — 人類導之變體,以導人發動態聽之技observe — 中立持之型辨,以廣脈絡供聽teach — 善教須先聽以解學者之需meditate — 內注清空間以利外聽heal — 自察以露 AI 之聽能是否為偏所損