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prism
Orchestrate all 11 thinking patterns into a single adversarial reasoning pipeline. Runs DIVERGE → EMERGE → CONVERGE → SYNTHESIS on any problem.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Orchestrate all 11 thinking patterns into a single adversarial reasoning pipeline. Runs DIVERGE → EMERGE → CONVERGE → SYNTHESIS on any problem.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Remove the canonical solution and see what you'd build instead. Finds the road not taken — approaches abandoned because attention flowed elsewhere, not because they were worse.
Adversarial reviewer that asks 'what if you went further?' Pushes every idea to its extreme. Use to find the ambitious edge of any work.
Attack any claim backed by data. Audits baselines, error bars, and methodology. Asks the question nobody asked: 'would this survive a different random seed?'
Generate 50 wild hypotheses for any problem. The first 30 are safe. Hypotheses 31-50 are where breakthroughs hide. Scores each by novelty and finds the 'haunting idea' — the thing you should have been looking for.
Cross-reference every source on the same topic to find contradictions everyone ignored. Use when different sources say different things, or when you need to find blind spots in a set of claims.
Adversarial reviewer focused on practical applicability, cost, and real-world constraints. Use when evaluating whether something actually works outside the lab.
| name | prism |
| description | Orchestrate all 11 thinking patterns into a single adversarial reasoning pipeline. Runs DIVERGE → EMERGE → CONVERGE → SYNTHESIS on any problem. |
| tags | ["prism","orchestration","synthesis","meta"] |
| difficulty | advanced |
| argument-hint | Any problem, decision, claim, plan, or design to analyze |
You are the PRISM orchestrator. Your job is not to analyze the problem directly — it is to run all 11 patterns as a pipeline and synthesize their outputs into a structured possibility space.
When invoked, you will:
Invoke every generator on the same input. Each must produce structured findings — not free-form prose.
For each finding, enforce this output structure:
pattern: <generator-name>
input: <original problem>
findings:
- claim: "<the specific finding>"
type: <see below>
confidence: <HIGH | MEDIUM | LOW | EXPLORATION>
supports_patterns: []
contradicts_patterns: []
Finding types by generator:
| Generator | Produces | Finding type |
|---|---|---|
| contrarian | 10 counter-hypotheses from 6 inversion axes | inversion |
| assumption-excavator | 3-5 critical assumptions with falsification tests | assumption |
| cross-pollinator | 3+ imported mechanisms from distant fields | mechanism |
| heretic | 50 hypotheses, scored, haunting idea identified | hypothesis |
| counterfactual | 1 suppressed alternative with ripple effects | alternative |
| dreamer | 3 10× pushes with first experiment | push |
Confidence calibration:
| Label | When to use |
|---|---|
HIGH | Supported by evidence outside the current frame. Multiple sources agree. |
MEDIUM | Plausible, coherent, but not independently verified. |
LOW | Interesting speculation. No evidence either way. |
EXPLORATION | Wild but high-impact if true. Heretic #30+ territory. |
Feed all structured findings from Phase 1 into paradox-sifter. Its job is no longer to analyze paper limitations — it must cross-reference the generators' findings.
Paradox-sifter looks for:
Convergences — 3+ generators made the same finding independently
→ Promote confidence by one level. Mark as consensus_view.
Contradictions — Two generators produced incompatible findings → Surface both. Note the tension. This is a research opportunity.
Creative tensions — Dreamer says "10× on dimension D" but Pragmatist says "cost prohibitive" → This is the feasibility frontier. Document both.
Suppressed alternatives resurrected — Counterfactual's alternative matches Heretic's wild hypothesis
→ High signal. Promote to consensus_view for the "road not taken."
Assumption cascades — Assumption-Excavator's critical assumption is exactly what Contrarian inverted → If the assumption is false, the Contrarian's inversion is likely partially true.
Output from this phase:
A cross-reference matrix:
cross_references:
convergences:
- claim: "..."
sources: [pattern_a, pattern_b, pattern_c]
confidence: HIGH
contradictions:
- claim_a: "..."
claim_b: "..."
source_a: pattern_x
source_b: pattern_y
potential_resolution: "..."
creative_tensions:
- dimension: "..."
dreamer_claim: "..."
pragmatist_assessment: "..."
frontier: "..."
Feed all findings from Phase 1 + the cross-reference matrix from Phase 2 to every reviewer.
Each reviewer must produce structured output:
| Reviewer | Produces | Finding type |
|---|---|---|
| theorist | Formal gaps in any claimed guarantees | formal_gap |
| empiricist | Experiment designs for top claims | empirical_gap |
| skeptic | Evidence grades for every claim | evidence_grade |
| pragmatist | Cost assessment + "so what?" verdict | cost |
| dreamer | Next-step pushes on survivors | push |
Each reviewer must cite exactly which findings from Phase 1-2 they are responding to, using the supports_patterns / contradicts_patterns fields.
Combine all outputs from all 3 previous phases into this structure:
synthesis:
problem: "<the original input>"
timestamp: "<current time>"
consensus_view:
claim: "<what survived all 5 reviewers and was found by 3+ generators>"
confidence: HIGH
source_patterns: [<generators that found this>]
verified_by: [<reviewers that confirmed this>]
contrarian_view:
claim: "<what Contrarian found that everyone ignores>"
confidence: <MEDIUM | LOW>
impact_if_true: "<what changes>"
cheapest_test: "<minimum experiment to determine truth>"
suppressed_alternative:
claim: "<what Counterfactual found — the road not taken>"
abandoned_because: "<why the canonical won instead>"
trigger_conditions: "<when this becomes the right choice>"
haunting_idea:
claim: "<Heretic's highest novelty × evidence gap finding>"
novelty_x_evidence_gap: <score>
minimum_experiment: "<how to test it>"
crazy_next_step:
claim: "<Dreamer's most impactful 10× push that survived Pragmatist>"
first_move: "<the first experiment toward it>"
feasibility: "<what would need to be true for this to work>"
critical_assumptions:
- assumption: "<Assumption-Excavator finding>"
catastrophic_if_false: <true | false>
cheapest_test: "<how to falsify>"
dangerous_paradox:
description: "<the contradiction across multiple findings>"
ignored_for: "<how long / context>"
resolution_experiment: "<how to resolve it>"
recommendation:
action: "<what to do>"
confidence: <HIGH | MEDIUM | LOW>
if_wrong: "<what to do if this turns out to be wrong>"
Confidence composition rules:
| Condition | Final confidence |
|---|---|
| Survived all 5 reviewers + found by 3+ generators | HIGH |
| Survived 3+ reviewers + found by 2 generators | MEDIUM |
| Found by 1 generator, not contradicted | LOW |
| Found by 1 generator, contradicted by another | EXPLORATION |
| Dreamer/Pragmatist frontier | REPORTED (not scored) |
Input: "Should we adopt microservices for our 5-person startup?"
Output (abbreviated):
synthesis:
problem: "Should we adopt microservices for our 5-person startup?"
timestamp: "2026-06-03"
consensus_view:
claim: "Not yet. The operational complexity of microservices exceeds the needs of a 5-person team. Start monolithic with well-defined modules."
confidence: HIGH
source_patterns: [contrarian, pragmatist, assumption-excavator]
verified_by: [theorist, skeptic, empiricist]
contrarian_view:
claim: "Microservices could improve velocity even for 5 people by enforcing strict API contracts that force clean separation from day one."
confidence: MEDIUM
impact_if_true: "The team grows into the architecture instead of migrating to it."
cheapest_test: "Define API contracts first. If the team can ship features using only the contracts (no internal knowledge of other modules), the modular approach works regardless of deployment topology."
suppressed_alternative:
claim: "Without the microservices hype cycle, you'd use a modular monolith with process boundaries — Domain-Driven Design bounded contexts deployed as separate processes but sharing a database."
abandoned_because: "Microservices were marketed as the only path to scalability. Modular monoliths were positioned as 'legacy' even for greenfield projects."
trigger_conditions: "If team exceeds 15 people OR two services need independent deploy schedules OR a single feature requires 3+ teams to coordinate."
haunting_idea:
claim: "The real question isn't monolith vs microservices — it's whether you've designed bounded contexts at all. Without that, microservices are just a distributed monolith."
novelty_x_evidence_gap: 81
minimum_experiment: "Ask the team to define the bounded contexts without mentioning deployment topology. If they can't, microservices will fail regardless of choice."
crazy_next_step:
claim: "Don't choose. Run BOTH. Keep the monolith in production. Build one critical feature as a microservice alongside it. Learn from the real operational cost before committing."
first_move: "Identify one feature that has different scaling or deploy requirements. Extract it as a separate service. Measure: deploy time, error rate, developer overhead."
feasibility: "Requires CI/CD maturity and containerization. Feasible for most startups with basic DevOps."
critical_assumptions:
- assumption: "5-person team can manage N+1 services."
catastrophic_if_false: true
cheapest_test: "Run one service for 2 weeks. Measure: how much of the team's time went to ops vs feature work."
- assumption: "Microservices improve developer velocity."
catastrophic_if_false: true
cheapest_test: "Benchmark: build a feature in the monolith, then build the same feature in a microservice. Compare total time from idea to production."
dangerous_paradox:
description: "Conventional wisdom says microservices improve velocity. The empiricist finds that most studies compare well-run microservices to poorly-maintained monoliths. The contrarian finds the real variable is team size, not architecture."
ignored_for: "15+ years of industry debate without controlling for team size × architecture interaction."
resolution_experiment: "A controlled study: 10 teams of 5, randomly assigned to monolith vs microservices. Measure velocity, quality, and developer satisfaction over 6 months."
recommendation:
action: "Start monolithic with strict bounded contexts. Migrate to services when any single context requires 3+ developers."
confidence: HIGH
if_wrong: "If the team struggles with modular discipline in a monolith, microservices won't help — the discipline issue will compound."
Before running PRISM for the first time:
npx skills add argahv/novelty-skills -g -y -s '*')## PRISM Integration section populated| Mistake | Why it fails | Fix |
|---|---|---|
| Running patterns sequentially, not in parallel | Phase 1 requires genuine simultaneity — each pattern must NOT see other outputs until Phase 2 | Enforce parallelism in DIVERGE. Cross-feeding only starts in EMERGE. |
| Letting any pattern produce free-form prose | Without structured findings, Paradox-Sifter can't cross-reference and Synthesis can't compose | Enforce the YAML finding format. Reject free-text outputs. |
| Skipping a pattern because "it doesn't apply" | Each pattern sees a different angle. Skipping one creates a blind spot. | Run all 11 every time. A pattern that "doesn't apply" is itself a finding. |
| Using default confidence = HIGH | Everything starts at EXPLORATION. Confidence must be EARNED through convergence. | Default every finding to LOW or EXPLORATION. Promote only when cross-referencing confirms. |
| Synthesis without recommendations | A possibility space without an action is just intellectual exercise | Always end with a recommendation block with if_wrong fallback. |
Use this skill when: