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Agent Skill · 研究检索

integrated-reasoning-v2(综合推理 v2)

integrated-reasoning-v2 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

integrated-reasoning-v2 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 70,176。

总安装 212周安装 9GitHub Stars 4下载 74核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:integrated-reasoning-v2(综合推理 v2)
来源仓库:https://github.com/kimasplund/claude_cognitive_reasoning
仓库路径:skills/integrated-reasoning-v2
安装命令:
npx skills add https://github.com/kimasplund/claude_cognitive_reasoning --skill integrated-reasoning-v2
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/kimasplund/claude_cognitive_reasoning --skill integrated-reasoning-v2

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适合根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从指定仓库安装并使用。建议确认权限范围、维护状态及是否触发联网或文件读写操作。integrated-reasoning-v2 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/integrated-reasoning-v2

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/kimasplund/claude_cognitive_reasoning --skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

integrated-reasoning-v2 怎么安装?

在终端执行 npx skills add https://github.com/kimasplund/claude_cognitive_reasoning --skill integrated…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

integrated-reasoning-v2 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

integrated-reasoning-v2 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

integrated-reasoning-v2 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

integrated-reasoning-v2 用的人多吗?

公开数据是累计安装 212 次,近一周安装 9 次,下载 74 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

integrated-reasoning-v2 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
integrated-reasoning-v2

综合推理 v2 · 本页

2124需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Integrated Reasoning v2 - Meta-Orchestration

Purpose: Select and orchestrate optimal reasoning pattern(s) for your problem. V2 addresses limitations of v1: adds new patterns, replaces order-dependent decision tree with weighted scoring, includes feedback loops, and fixes confidence aggregation.

Available Reasoning Patterns (9)

PatternPurposeBest For
Tree of Thoughts (ToT)Find optimal solution through deep explorationOptimization, clear criteria, find THE best
Breadth of Thought (BoT)Map solution space comprehensivelyUnknown space, need multiple options
Self-Reflecting Chain (SRC)Sequential reasoning with validationDependent steps, proofs, linear traces
Hypothesis-Elimination (HE)Systematic elimination through evidenceDiagnosis, debugging, root cause
Adversarial Reasoning (AR)Stress-test through attack simulationValidation, security, pre-mortems
Dialectical Reasoning (DR)Synthesize opposing valid perspectivesTrade-offs, conceptual conflicts
Analogical Transfer (AT)Solve via cross-domain parallelsNovel problems, no direct precedent
Rapid Triage Reasoning (RTR)Fast decisions under time pressureIncidents, emergencies, time-boxed choices
Negotiated Decision Framework (NDF)Multi-stakeholder coordinationPolitics, competing interests, buy-in needed

Pattern Selection: Weighted Multi-Dimensional Scoring

Step 1: Assess Problem Characteristics

Score each dimension (1-5):

| Dimension | Score | Description |
|-----------|-------|-------------|
| **Sequential Dependencies** | _/5 | Do steps depend on previous steps? |
| **Criteria Clarity** | _/5 | Can you clearly evaluate solutions? |
| **Solution Space Known** | _/5 | Do you know the options? |
| **Single Answer Needed** | _/5 | Need ONE answer vs multiple options? |
| **Evidence Available** | _/5 | Can you gather discriminating evidence? |
| **Opposing Valid Views** | _/5 | Are there legitimate conflicting perspectives? |
| **Problem Novelty** | _/5 | Is this unprecedented in your domain? |
| **Robustness Required** | _/5 | Need to stress-test before committing? |
| **Solution Exists** | _/5 | Do you have a candidate solution to evaluate? |
| **Time Pressure** | _/5 | How constrained is decision time? (5=minutes) |
| **Stakeholder Complexity** | _/5 | Multiple parties with competing interests? |

Step 1.5: Time Pressure Fast-Path

CRITICAL: If Time Pressure = 5 (emergency/incident):

  • Skip full scoring
  • Use Rapid Triage Reasoning (RTR) directly
  • RTR is optimized for decisions under extreme time constraints

If Time Pressure ≥ 4:

  • Consider RTR unless problem is clearly sequential (use SRC) or diagnostic (use HE)
  • Apply abbreviated scoring (skip orchestration considerations)

Step 2: Calculate Pattern Affinity Scores

ToT  = (Criteria × 0.35) + (SingleAnswer × 0.30) + (SpaceKnown × 0.20) + ((6-Novelty) × 0.15)

BoT  = ((6-SpaceKnown) × 0.35) + ((6-SingleAnswer) × 0.30) + ((6-Criteria) × 0.20) + (Novelty × 0.15)

SRC  = (Sequential × 0.45) + (Criteria × 0.25) + (SingleAnswer × 0.20) + ((6-OpposingViews) × 0.10)

HE   = (Evidence × 0.40) + (SingleAnswer × 0.30) + ((6-Novelty) × 0.20) + ((6-OpposingViews) × 0.10)

AR   = (Robustness × 0.40) + (SolutionExists × 0.30) + ((6-Novelty) × 0.15) + (Evidence × 0.15)
       # NOTE: AR requires SolutionExists ≥ 3, otherwise score = 0

DR   = (OpposingViews × 0.50) + (Criteria × 0.20) + ((6-Evidence) × 0.15) + (MIN(SingleAnswer, OpposingViews) × 0.15)
       # NOTE: V2.1 fix - SingleAnswer no longer penalized when OpposingViews is high

AT   = (Novelty × 0.45) + ((6-SpaceKnown) × 0.30) + ((6-Evidence) × 0.15) + ((6-Sequential) × 0.10)

RTR  = (TimePressure × 0.50) + (SingleAnswer × 0.25) + (Evidence × 0.15) + ((6-Novelty) × 0.10)
       # NOTE: RTR auto-selected when TimePressure = 5

NDF  = (StakeholderComplexity × 0.45) + (OpposingViews × 0.25) + ((6-Criteria) × 0.15) + ((6-TimePressure) × 0.15)
       # NOTE: NDF requires StakeholderComplexity ≥ 3 to be considered

Formula Validation Rules (V2.1):

  • AR returns 0 if SolutionExists < 3 (nothing to attack)
  • RTR auto-triggers when TimePressure = 5 (emergency mode)
  • NDF returns 0 if StakeholderComplexity < 3 (single decision-maker)
  • If multiple patterns score within 0.3 of each other, use uncertainty propagation (Step 2.5)

Step 2.5: Uncertainty Propagation (V2.1)

When dimension scores are uncertain, propagate uncertainty to pattern selection:

## Uncertainty Assessment

For each dimension where you're unsure (±1 point uncertainty):

1. Calculate pattern scores at LOW end (dimension - 1)
2. Calculate pattern scores at HIGH end (dimension + 1)
3. If different pattern wins at each end → **Flag as uncertain selection**

### Handling Uncertain Selections

**If same pattern wins both ends**: Proceed with confidence
**If different patterns win**:
  - Run BOTH patterns in parallel (if time permits)
  - OR use the pattern that's more robust to being wrong
  - OR gather more information to reduce dimension uncertainty

### Uncertainty Discount
Apply -5% to final confidence for each uncertain dimension that affects the winning pattern.

Step 3: Interpret Scores

ScenarioAction
One pattern scores >4.0Use that pattern directly
Top 2 within 0.5 of each otherConsider multi-pattern orchestration
Top 3 within 0.3 of each otherApply uncertainty propagation first
All patterns <3.0Problem may need decomposition first
Top pattern <2.5None fit well; use Direct Analysis

Direct Analysis (10th Pattern)

When all pattern scores are below 2.5, no specialized methodology is warranted:

## Direct Analysis

**When to use**: All patterns score <2.5 (problem doesn't match any pattern's strengths)

**Approach**:
1. No special framework needed
2. Just think through the problem directly, step by step
3. Use common sense and straightforward reasoning
4. Appropriate for simple problems that don't need cognitive overhead

**Examples**:
- Simple factual questions
- Straightforward calculations
- Basic lookups or translations
- Problems with obvious solutions

**Confidence**: Use intuitive confidence based on problem clarity
- Clear problem + clear answer = high confidence
- Any ambiguity = document it explicitly

Direct Analysis Threshold

Use Direct Analysis (no specialized pattern) when:

  • MAX(all pattern scores) < 4.0 AND
  • No dimension scored >= 4 AND
  • Problem is not time-critical (TimePressure < 4)

Direct Analysis = simple step-by-step reasoning without framework overhead.


Sequential vs Parallel Execution Decision

Use SEQUENTIAL when:

  • Pattern B depends on Pattern A's output (e.g., BoT finds options → ToT optimizes)
  • Confidence from A affects what to do in B
  • Evidence from A eliminates need for B
  • One pattern discovers the problem is different than expected

Use PARALLEL when:

  • Patterns explore independent dimensions
  • No dependency between pattern outputs
  • Need ensemble confidence (run same problem through 2 patterns)
  • Time allows and you want cross-validation
  • Patterns are complementary (e.g., different perspectives on same problem)

Common Chains (Sequential):

BoT → ToT → AR     (explore → optimize → validate)
HE → SRC → AR      (diagnose → trace → validate fix)
AT → DR → ToT      (analogize → synthesize → optimize)
RTR → HE → ToT     (triage → root cause → proper fix)
NDF → ToT → AR     (align stakeholders → optimize → validate)
DR → NDF → ToT     (resolve concepts → negotiate politics → optimize)
AT → BoT → ToT     (find analogies → explore adaptations → select best)

Common Parallel Combinations:

BoT || AT          (parallel exploration from different angles)
ToT || DR          (optimize while synthesizing trade-offs)
HE branches        (test multiple hypotheses simultaneously)
AR attack vectors  (stress-test from multiple directions at once)

Full Reasoning Chain: Input → Output

Complete end-to-end flow for IR-v2 orchestration:

1. **Problem Input**
   └─→ Receive problem statement, constraints, and context

2. **Score 11 Dimensions**
   └─→ Sequential Dependencies, Criteria Clarity, Solution Space Known,
       Single Answer Needed, Evidence Available, Opposing Valid Views,
       Problem Novelty, Robustness Required, Solution Exists,
       Time Pressure, Stakeholder Complexity

3. **Fast-Path Check**
   └─→ TimePressure = 5? → RTR immediately (skip remaining steps)

4. **Pattern Selection**
   └─→ IR-v2 calculates affinity scores for all 9 patterns
   └─→ Apply validation rules (AR needs solution, NDF needs stakeholders)

5. **Direct Analysis Check**
   └─→ All patterns < 2.5? → Use Direct Analysis (no framework)

6. **Orchestration Decision**
   └─→ Single pattern > 4.0? → Use that pattern directly
   └─→ Top 2 within 0.5? → Consider multi-pattern orchestration
   └─→ Top 3 within 0.3? → Apply uncertainty propagation first
   └─→ Decide: Sequential or Parallel execution?

7. **Pattern Execution**
   └─→ Apply selected pattern(s) using their methodologies
   └─→ Track confidence and key findings

8. **Checkpoint (15 min)**
   └─→ Progress check, pattern fit check, new information check
   └─→ Re-evaluate and potentially switch patterns if needed

9. **Handover (if multi-pattern)**
   └─→ Transfer context via .reasoning/ directory
   └─→ Preserve insights from completed pattern
   └─→ Set up next pattern with full context

10. **Synthesis (if multi-pattern)**
    └─→ Combine findings from all patterns
    └─→ Resolve conflicts, identify agreements

11. **Confidence Aggregation**
    └─→ Single pattern: use internal confidence
    └─→ Multi-pattern: apply agreement analysis
    └─→ Apply uncertainty discounts if applicable

12. **Output**
    └─→ Deliver answer with reasoning trail
    └─→ Document confidence level and key uncertainties
    └─→ Provide actionable recommendations

Multi-Pattern Orchestration

When to Orchestrate

  • Top 2 patterns within 0.5 points AND
  • Problem is high-stakes (consequences matter) AND
  • Time budget allows (>45 minutes available)

Orchestration Patterns

Sequential Orchestration (most common):

  1. Use exploration pattern first (BoT, AT)
  2. Use optimization pattern second (ToT, HE)
  3. Use validation pattern last (AR, SRC)

Parallel Orchestration (when patterns are complementary):

  • Run 2 patterns independently
  • Compare conclusions
  • Use agreement/disagreement to calibrate confidence

Nested Orchestration (when patterns address different aspects):

  • Apply different patterns to different sub-problems
  • Synthesize at the end

Orchestration Decision Table

Pattern A HighPattern B HighOrchestration
BoTToTSequential: BoT (explore) → ToT (optimize top options)
BoTHESequential: BoT (generate hypotheses) → HE (eliminate)
ToTARSequential: ToT (select) → AR (validate before commit)
ToTSRCSequential: ToT (decide) → SRC (plan implementation)
DRToTSequential: DR (resolve tension) → ToT (optimize within synthesis)
ATToTSequential: AT (find analogies) → ToT (evaluate derived solutions)
ATBoTParallel: Both explore, merge findings
HESRCSequential: HE (find cause) → SRC (trace mechanism)
RTRHESequential: RTR (immediate triage) → HE (post-incident RCA)
RTRARSequential: RTR (quick decision) → AR (post-decision validation)

| NDF | ToT | Sequential: NDF (get buy-in) → ToT (optimize within agreed bounds) | | NDF | DR | Sequential: DR (resolve conceptual tension) → NDF (negotiate stakeholders) | | BoT | NDF | Sequential: BoT (explore options) → NDF (negotiate which to pursue) |

RTR Orchestration Rules:

  • RTR is typically a STARTING pattern, not an ending one
  • After RTR stabilizes situation, follow up with deeper analysis
  • RTR → HE for incident root cause analysis
  • RTR → ToT for revisiting decision with more time

NDF Orchestration Rules:

  • NDF typically FOLLOWS technical analysis (know options before negotiating)
  • BoT → NDF: Explore space, then negotiate which options to pursue
  • NDF → ToT: After stakeholder agreement, optimize implementation
  • DR → NDF: Resolve conceptual tensions first, then stakeholder tensions

Parallel Execution Integration

When to Parallelize

Parallel execution is appropriate when independent reasoning paths can run concurrently without blocking each other:

ConditionParallelization Strategy
Top 2 patterns within 0.3 of each otherRun both patterns in parallel, compare results
BoT natural parallelism8-10 branches can explore simultaneously
Hypothesis testing (HE)Parallel evidence gathering for multiple hypotheses
Multi-perspective needs (MoA pattern)Different "expert personas" analyze in parallel

Parallel Orchestration Patterns

Pattern CombinationParallel StrategyMerge Approach
**BoT \\AT**Parallel exploration from different anglesMerge findings, deduplicate insights
ToT branchesParallel subtree exploration at each levelTake best-scoring subtree
HE hypothesesParallel evidence collection for each hypothesisAggregate evidence, eliminate losers
AR attacksParallel threat simulation (different attack vectors)Union of discovered vulnerabilities

Parallel Configuration

parallel_config:
  max_concurrent_patterns: 3      # Max patterns running simultaneously
  max_concurrent_branches: 8      # Max branches within a single pattern
  merge_strategy: "consensus"     # "consensus" | "voting" | "aggregation" | "best-of-n"
  timeout_per_branch_ms: 60000    # 60 second timeout per branch
  early_termination_threshold: 0.95  # Stop early if confidence exceeds this

Configuration Guidelines:

  • Use max_concurrent_patterns: 2 for typical orchestration
  • Use max_concurrent_branches: 8 for BoT exploration
  • Increase timeout_per_branch_ms for complex sub-problems
  • Lower early_termination_threshold (e.g., 0.85) when speed matters more than certainty

Merge Strategies

StrategyWhen to UseBehavior
ConsensusHigh-stakes, need confidenceAll must agree → boost confidence by +10%; any disagreement → flag for review
VotingMultiple viable optionsMajority wins; ties broken by highest individual confidence
AggregationComplementary findingsSynthesize all findings into unified result; no filtering
Best-of-NCompetitive explorationTake highest confidence result; discard others

Merge Strategy Selection:

If robustness critical → "consensus"
If options are mutually exclusive → "voting"
If findings are additive → "aggregation"
If racing for speed → "best-of-n"

Integration with.reasoning/ Protocol

Parallel execution integrates with the .reasoning/ handover protocol:

.reasoning/
├── current-context.md         # Master context (shared by all branches)
├── parallel-session/
│   ├── config.yaml            # Parallel execution configuration
│   ├── branch-001/
│   │   ├── approach.md        # Pattern being applied
│   │   ├── findings.md        # Intermediate findings
│   │   └── confidence.json    # Branch confidence score
│   ├── branch-002/
│   │   ├── approach.md
│   │   ├── findings.md
│   │   └── confidence.json
│   └── branch-N/
│       └── ...
├── merge-result.md            # Synthesized output from all branches
└── handover.md                # Final handover (captures all branch insights)

Protocol Rules:

  1. Each parallel branch writes to its own branch-{id}/ directory
  2. Branches read shared context but do NOT write to shared files
  3. Merge phase reads all branches, applies merge strategy
  4. Handover document captures insights from ALL branches (not just winner)
  5. Failed branches are preserved for debugging (marked with status: failed)

Branch Handover Template:

## Branch {id} Summary
- **Pattern Applied**: [pattern name]
- **Conclusion**: [finding]
- **Confidence**: [X]%
- **Key Insights**: [unique contributions]
- **Disagreements**: [where this branch diverged from others]

Feedback Loop: 15-Minute Checkpoint

After 15 minutes of applying selected pattern:

## Checkpoint Evaluation

### Progress Check
- [ ] Have I made meaningful progress toward goal?
- [ ] Is my confidence increasing?

### Pattern Fit Check
- [ ] Am I fighting the methodology?
- [ ] Have I discovered new problem characteristics?

### New Information
- [ ] Has the problem changed?
- [ ] Do my characteristic scores need updating?

### Decision
If 2+ checks FAIL:
  → PAUSE: Re-score characteristics
  → If different pattern scores highest: SWITCH
  → If same pattern: Continue with awareness

If all checks PASS:
  → Continue current pattern
  → Set next checkpoint at 30 min mark

Confidence Aggregation (Fixed)

V1 Problem: Additive confidence boosting was statistically invalid.

V2 Approach: Agreement-based bounded adjustment.

Single Pattern Confidence

Use the pattern's internal confidence score (per its methodology).

Multi-Pattern Confidence

## Multi-Pattern Synthesis

### Raw Scores
- Pattern A conclusion: [Answer A] at [X]% confidence
- Pattern B conclusion: [Answer B] at [Y]% confidence
- Pattern C conclusion: [Answer C] at [Z]% (if used)

### Agreement Analysis

**FULL AGREEMENT** (same conclusion):
- Final Confidence = MIN(MAX(X, Y, Z) + 5%, 95%)
- Rationale: Independent paths converging increases trust

**Confidence Bounds**:
- Floor: 10% (never report lower confidence)
- Ceiling: 95% (never report higher confidence)

**PARTIAL AGREEMENT** (2/3 agree):
- Final Confidence = (AVG of agreeing × 0.7) + (disagreeing × 0.15)
- Must document the disagreement
- Consider: Why does one pattern disagree?

**NO AGREEMENT** (different conclusions):
- Final Confidence = MIN(X, Y, Z) - 10%
- This is a FEATURE not a bug - disagreement reveals complexity
- Action: Either (a) gather more information, or (b) present trade-offs to stakeholder

### Shared Assumption Discount
If patterns share significant assumptions, apply -5% adjustment.
(Same LLM, same problem framing, same information = shared blind spots)

Pattern Limitations Reference

Tree of Thoughts (ToT):

  • Requires clear evaluation criteria
  • Deep recursion may overfit to evaluation function
  • Fixed branching can force artificial distinctions

Breadth of Thought (BoT):

  • Cannot truly be "exhaustive"
  • 8-10 branches may not cover solution space
  • Returns multiple options requiring further decision

Self-Reflecting Chain (SRC):

  • Limited by weakest step in chain
  • Backtracking is costly
  • Assumes linear dependency structure

Hypothesis-Elimination (HE):

  • Requires discriminating evidence
  • Can only find causes in the hypothesis set
  • Time-sensitive (may not suit exploration)

Adversarial Reasoning (AR):

  • Requires existing solution to attack
  • Can be demoralizing if overused
  • May miss non-adversarial failure modes

Dialectical Reasoning (DR):

  • Requires genuinely opposing valid views
  • Synthesis isn't always possible
  • Can be slower than just deciding

Analogical Transfer (AT):

  • Analogy quality varies widely
  • Source domain may mislead
  • Requires creativity in finding parallels

Rapid Triage Reasoning (RTR):

  • Sacrifices depth for speed
  • May miss optimal solution (accepts "good enough")
  • Requires follow-up analysis for important decisions
  • Not suitable when time is actually available

Negotiated Decision Framework (NDF):

  • Requires multiple genuine stakeholders
  • Time-intensive (relationship building takes time)
  • May produce suboptimal technical solutions for political acceptance
  • Doesn't help when one party has absolute authority

Quick Selection Guide

"I need to find the BEST option among known choices"
  → Tree of Thoughts

"I need to explore ALL possible approaches"
  → Breadth of Thought

"I need to trace through a logical chain step by step"
  → Self-Reflecting Chain

"I need to find THE CAUSE of something"
  → Hypothesis-Elimination

"I need to VALIDATE a solution before committing"
  → Adversarial Reasoning

"I'm stuck between two valid but opposing approaches"
  → Dialectical Reasoning

"This problem is novel - no one has solved it in my domain"
  → Analogical Transfer

"I need to decide RIGHT NOW (minutes, not hours)"
  → Rapid Triage Reasoning

"Multiple stakeholders with competing interests must agree"
  → Negotiated Decision Framework

"I'm not sure which to use"
  → Score the dimensions (Step 1)

--- Parallelism Quick-Reference ---

"Top 2 patterns scored within 0.3"
  → Run both in parallel, merge with "consensus" or "voting"

"Need to explore many options fast"
  → Use BoT with max_concurrent_branches: 8

"Testing multiple hypotheses"
  → HE with parallel evidence gathering

"Need diverse perspectives on same problem"
  → MoA pattern: parallel expert personas

"Running parallel but need to merge"
  → consensus (high-stakes) | voting (exclusive) | aggregation (additive) | best-of-n (speed)

Example Application

Problem: "Design our company's approach to AI governance"

Characteristic Scoring

DimensionScoreReasoning
Sequential Dependencies2Not really step-by-step
Criteria Clarity3Some criteria, but subjective
Solution Space Known2Emerging field, options unclear
Single Answer Needed4Need one policy
Evidence Available2Few precedents to learn from
Opposing Valid Views5Big tension: innovation vs caution
Problem Novelty5Very new challenge
Robustness Required4High stakes, need validation
Solution Exists1No candidate solution yet
Time Pressure2Strategic decision, not urgent

Pattern Affinity Scores

  • ToT: (3×.35)+(4×.30)+(2×.20)+(1×.15) = 2.80
  • BoT: (4×.35)+(2×.30)+(3×.20)+(5×.15) = 3.35
  • SRC: (2×.45)+(3×.25)+(4×.20)+(1×.10) = 2.55
  • HE: (2×.40)+(4×.30)+(1×.20)+(1×.10) = 2.30
  • AR: 0 (SolutionExists=1 < 3, nothing to attack yet)
  • DR: (5×.50)+(3×.20)+(4×.15)+(4×.15) = 4.30
  • AT: (5×.45)+(4×.30)+(4×.15)+(4×.10) = 4.45 ← Highest
  • RTR: (2×.50)+(4×.25)+(2×.15)+(1×.10) = 2.40

Recommendation

Primary: Analogical Transfer (4.45) - Look at how other governance challenges were solved Secondary: Dialectical Reasoning (3.80) - Innovation vs caution tension needs synthesis

Orchestration: AT → DR → AR

  1. Use AT to find analogous governance frameworks (environmental, financial, medical)
  2. Use DR to synthesize the innovation/caution tension
  3. Use AR to stress-test the proposed governance approach

Version History

V2.1 (Current):

  • Added RTR (Rapid Triage Reasoning) for time-critical decisions
  • Added NDF (Negotiated Decision Framework) for multi-stakeholder coordination
  • Total: 9 reasoning patterns (up from 7 in V2.0)
  • Added 3 new dimensions: SolutionExists, TimePressure, StakeholderComplexity
  • Fixed AR formula: now requires SolutionExists ≥ 3
  • Fixed DR formula: SingleAnswer no longer penalized when OpposingViews high
  • Added uncertainty propagation for close pattern scores
  • Added Time Pressure fast-path (auto-selects RTR when TimePressure=5)
  • Added NDF validation (requires StakeholderComplexity ≥ 3)
  • Enhanced orchestration table with RTR and NDF combinations

V2.0:

  • Added 4 new patterns: HE, AR, DR, AT
  • Replaced decision tree with weighted multi-dimensional scoring
  • Added 15-minute feedback checkpoint
  • Fixed confidence aggregation (no more invalid additive boosting)
  • Added orchestration decision table
  • Added pattern limitations reference

V1.0 (Deprecated):

  • 3 patterns: ToT, BoT, SRC
  • Order-dependent decision tree
  • No feedback loop
  • Invalid confidence aggregation

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