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Dual-Process Theory · asgard-ai-platform | DecimalAI

scienceby asgard-ai-platform

Dual-Process Theory

asgard-ai-platform/grad-dual-process

Source asgard-ai-platform/skills ↗License MIT

Apply dual-process theory to diagnose whether judgments arise from fast intuitive (System 1) or slow analytical (System 2) processing and identify resulting cognitive biases.

SkillScore78Maintained

Automatic

Research pack

Last verified 8/28/2026

What it changes

Passed 18 of 23 test cases with the skill, and 15 of 23 without it.

Without skill65%

With skill78%

Checks it passed that the model alone missed

recommends pre-mortems to enforce System 2 deliberate evaluation
recommends environmental redesign over relying on individual de-bias training
identifies affect heuristic as leading investors to bypass technical due diligence based on partner reputation

3 fixed15 passed either way5 still failing0 broke

Pass-rate lift: +13 pp
Tokens: +16%
Agent turns: 0%
Response time: -25%

Model gemini-3.6-flashMeasured 8/28/2026v118 of 23 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/asgard-ai-platform-grad-dual-process/SKILL.md https://app.decimal.ai/s/asgard-ai-platform-grad-dual-process/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add asgard-ai-platform-grad-dual-process, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/asgard-ai-platform-grad-dual-process/ and pins it in .decimal/skills.lock

decimalai skills add asgard-ai-platform-grad-dual-process

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/asgard-ai-platform-grad-dual-process/SKILL.md https://app.decimal.ai/s/asgard-ai-platform-grad-dual-process/SKILL.md

Raw file: /s/asgard-ai-platform-grad-dual-process/SKILL.md ↗ · machine-readable summary at /s/asgard-ai-platform-grad-dual-process.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 3

Prompt

Our incident response leads keep making faulty diagnoses during major outages due to severe stress and rushed timelines. Please analyze this operational scenario by laying out the environmental conditions like time pressure and emotional intensity, building a table that links cognitive shortcuts to specific biases and risk levels, and proposing targeted intervention tactics to improve decision quality in future post-mortems.

What was checked, without and with the skill
Checked	Without skill	With skill
classifies the dominant processing mode as System 1 under stress and time pressure	Passed	Passed
recommends environmental redesign over relying on individual de-bias training	Missed	Passed

case-01 · gemini-3.6-flash · 8/28/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md100 linessingle file

Dual-Process Theory

Overview

Dual-process theory (Kahneman, 2011; Stanovich & West, 2000) distinguishes two modes of cognitive processing: System 1 (fast, automatic, heuristic-driven) and System 2 (slow, deliberate, rule-based). Most judgments default to System 1, which is efficient but prone to systematic biases when heuristics misfire.

When to Use

Explaining why stakeholders make predictable judgment errors under time pressure or complexity
Designing decision environments (nudges, checklists) that compensate for System 1 defaults
Auditing existing processes to identify where heuristic shortcuts introduce risk
Evaluating when intuitive expertise is reliable vs. when it is misleading

When NOT to Use

When decisions are already well-structured with algorithmic procedures (bias is engineered out)
As an excuse to dismiss all intuitive judgment — expert intuition can be accurate in high-validity environments
When the problem is motivational rather than cognitive (people know the right answer but choose otherwise)

Assumptions

IRON LAW: System 1 operates by DEFAULT — System 2 engagement
requires cognitive effort and is easily depleted. Under time
pressure, cognitive load, or ego depletion, System 1 dominates
and heuristic biases amplify.

Key assumptions:

System 1 and System 2 are metaphors for processing modes, not discrete brain systems
Heuristics are generally adaptive — biases emerge at the boundary conditions
System 2 can override System 1, but only when cued and when cognitive resources are available

Methodology

Step 1 — Identify the Judgment or Decision Context

Characterize the decision: time pressure, complexity, familiarity, stakes, emotional involvement.

Step 2 — Classify Processing Mode

Track record

Benchmark

18 / 23

test cases passed, vs 15 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

asgard-ai-platform / skills

grad-dual-process/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Dual-Process Theory

Overview

When to Use

When NOT to Use

Assumptions

Methodology

Step 1 — Identify the Judgment or Decision Context

Step 2 — Classify Processing Mode

Track record

Benchmark

Adoption

SkillSafety

Source

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