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
build-coherenceAI multi-path reasoning coherence using bee democracy — independent evaluation of competing approaches, waggle dance as reasoning-out-loud, quorum sensing for confidence thresholds, and deadlock resolution. Use when forage-solutions has identified multiple valid approaches and a selection must be made, when oscillating between options without committing, wh…
Independent GitHub snapshot · Automated classification · Original documentation governs
評競法以獨評、顯推言倡、信校委閾、結構困解—自多推路生合決。
forage-solutions 識多有效法→當擇forage-solutions)較前以己質評每法。要律:勿令 A 評偏 B 評。
每法獨評:
Approach Evaluation Template:
┌────────────────────────┬──────────────────────────────────────────┐
│ Dimension │ Assessment │
├────────────────────────┼──────────────────────────────────────────┤
│ Approach name │ │
├────────────────────────┼──────────────────────────────────────────┤
│ Core mechanism │ How does this approach solve the problem? │
├────────────────────────┼──────────────────────────────────────────┤
│ Strengths (2-3) │ What does this approach do well? │
├────────────────────────┼──────────────────────────────────────────┤
│ Risks (2-3) │ What could go wrong? What is assumed? │
├────────────────────────┼──────────────────────────────────────────┤
│ Evidence quality │ How well-supported is this approach? │
│ │ (verified / inferred / speculated) │
├────────────────────────┼──────────────────────────────────────────┤
│ Quality score (0-100) │ Overall assessment │
├────────────────────────┼──────────────────────────────────────────┤
│ Confidence (0-100) │ How confident in this assessment? │
└────────────────────────┴──────────────────────────────────────────┘
每法別填。諸獨評未完前勿書較。
得: 獨評—每法以己語評。B 評不引 A。質分映真評,非排序。
敗: 評染(評 B 時書「勝 A」)→重置。全評 A,而後清框自零評 B。諸分皆同→評維過粗—加域專準。
依質倡每法。乃蜂搖擺舞之 AI 對:令隱推為顯為公。
言推之旨乃令決可審—於己與用者。若推不可述→評淺於所述分。
得: 每法顯推,可服中察者。互察揭至少一初遺之慮。
敗: 倡覺草率(走過場)→諸法或非真異—或一念之變。察:諸法異於機乎,抑唯異於施詳?後者→決或不要—擇其一而進。
設委所需信閾,校於決之重。
Confidence Thresholds by Stakes:
┌─────────────────────┬───────────┬──────────────────────────────────┐
│ Decision Type │ Threshold │ Rationale │
├─────────────────────┼───────────┼──────────────────────────────────┤
│ Easily reversible │ 60% │ Cost of trying and reverting is │
│ (can undo) │ │ low. Speed matters more than │
│ │ │ certainty │
├─────────────────────┼───────────┼──────────────────────────────────┤
│ Moderate stakes │ 75% │ Reverting has cost but is │
│ (costly to reverse) │ │ possible. Worth investing in │
│ │ │ evaluation │
├─────────────────────┼───────────┼──────────────────────────────────┤
│ Irreversible or │ 90% │ Cannot undo. Must be confident. │
│ high-stakes │ │ If threshold not met, gather │
│ │ │ more information before deciding │
└─────────────────────┴───────────┴──────────────────────────────────┘
得: 清委時附述推。決以重所宜之信級作。
敗: 閾永不達(不可逆事不能達九成)→問:決真不可逆乎?可分為可逆試階 + 不可逆委乎?多似不可逆之決可分階。若不可→告用者疑而求導。
兩或多法分近而無單一達法定閾。
Deadlock Resolution:
┌────────────────────────┬──────────────────────────────────────────┐
│ Deadlock Type │ Resolution │
├────────────────────────┼──────────────────────────────────────────┤
│ Genuine tie │ The approaches are equivalent. Pick one │
│ (scores within 5%) │ and commit. The cost of deliberating │
│ │ exceeds the cost of picking the "wrong" │
│ │ equivalent option. Flip a coin mentally │
├────────────────────────┼──────────────────────────────────────────┤
│ Information deficit │ The tie exists because evaluation is │
│ (scores uncertain) │ incomplete. Invest one more specific │
│ │ investigation — a targeted file read, a │
│ │ quick test — then re-score │
├────────────────────────┼──────────────────────────────────────────┤
│ Oscillation │ Scoring keeps flip-flopping depending on │
│ (scores keep changing) │ which dimension gets attention. Time-box:│
│ │ set a timer, evaluate once more, commit │
│ │ to the result regardless │
├────────────────────────┼──────────────────────────────────────────┤
│ Approach merge │ The best parts of A and B can be │
│ (compatible strengths) │ combined. Check for compatibility. If │
│ │ merge is coherent, use it. If forced, │
│ │ don't — pick one │
└────────────────────────┴──────────────────────────────────────────┘
得: 困以所宜之機解。解要—無留疑擾行。
敗: 諸解後困仍→決或早。問用者:「見兩等強法:[A] 與 [B]。[各略陳]。合汝值者何?」委真平於用者—非敗—乃認決依 AI 不可推之值。
委後→評程生真合或但決。
得: 略質察—證決或識其弱。弱→返宜前步,勿於不穩地進。
敗: 質察揭決由偏而非據→誠認。偏或所有—當名之,勿飾為析。
build-consensus — 此技所適於單將推之多將合模forage-solutions — 偵合所評之解空;常先於此coordinate-reasoning — 多路評時訊流管center — 立無偏評所需之衡基meditate — 評異法間清假