SKILLEMALL.ai

BC thinking-fast-and-slow-kahneman

Daniel Kahneman's "Thinking, Fast and Slow" — an executable toolkit for understanding how your mind works, recognizing cognitive biases, and making better decisions. Covers 5 use cases: ① Decision-Making — ("How to make better decisions" "Why do I keep making the same mistakes") ② Cognitive Bias Recognition — ("What biases affect my thinking" "How to spot my own blind spots") ③ Risk Assessment — ("How to evaluate risk properly" "Why am I afraid of the wrong things") ④ Judgment Improvement — ("How to think more clearly" "How to avoid errors in judgment") ⑤ Behavioral Economics — ("How to understand human behavior" "Why people make irrational choices") Trigger when users say: "Thinking Fast and Slow" "Daniel Kahneman" "System 1" "System 2" "Cognitive bias" "Anchoring" "Availability heuristic" "Confirmation bias" "Loss aversion" "How to think better" "How to avoid biases" "Hindsight bias" "Planning fallacy" or mention: Kahneman / Tversky / heuristics / biases / prospect theory / behavioral economics / decision-making / overconfidence / framing.

ClawHub Agent Skills author: BestBooks v1.0.2 MIT-0 8 files body ≈ 2 284 tokens Open the sourceclawhub.ai analyzed 2 d ago

Daniel Kahneman's "Thinking, Fast and Slow" — an executable toolkit for understanding how your mind works, recognizing cognitive biases, and making better…

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureSales and CRMWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1057 chars, limit 1024

Process rating: all ten parameters 63/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 60Failures and branches. 2 branches
  • 70When it triggers. States when to use, but not when not to
  • 100Tools and files. No external tools needed
  • 100Steps. 35 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2284 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1057: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 24 example trigger phrases
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 35 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a prompt-only educational skill for applying Thinking, Fast and Slow concepts, with no evidence of code execution, credential use, persistence, or hidden data access.
LLM: benign (high) · VirusTotal: · 8 Jun 2026