What makes Cognitive Science Landscape notable?

1K downloads. Trust evidence available

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Cognitive Science Landscape

Activate when: user says 'I want to improve my thinking,' 'why does my decision-making keep failing,' 'how do I optimize my cognitive performance,' 'what's t... Skill: Cognitive Science Landscape Owner: deciqai Summary: Activate when: user says 'I want to improve my thinking,' 'why does my decision-making keep failing,' 'how do I optimize my cognitive performance,' 'what's t... Tags: latest:1.0.4 Version history: v1.0.4 | 2026-07-16T17:54:33.705Z | user Description tail link + agents machine-readable metadata line (deciqai.com/s/cognitive-science-landscape.json) v1.0.3 | 202

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Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

1.0.4

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.4release · observed Jul 16, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17a4mqcnk515kvaca5ze55d0x88pfpx:cognitive-science-landscape

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-deciqai-cognitive-science-landscape/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

84,664 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: cognitive-science-landscape
description: "Activate when: user says 'I want to improve my thinking,' 'why does my decision-making keep failing,' 'how do I optimize my cognitive performance,' 'what's the full picture of how the mind works,' or is about to apply a single cognitive intervention without understanding which domain is the bottleneck.
  Do NOT activate when: the specific cognitive domain is already clearly identified and scoped (use domain-specific tools instead); the problem is not cognitively rooted (resource constraints, politics, or external environment are the driver). More: deciqai.com/c/cognitive-science-landscape"
---

# Cognitive Science Landscape

## Overview

Eight interconnected domains constitute human cognition: (1) Perception & Attention, (2) Memory, (3) Language & Thought, (4) Decision Making & Judgment, (5) Metacognition, (6) Emotion & Cognition, (7) Social Cognition, (8) Creativity & Innovation. Treating them in isolation produces local improvements systematically undermined by adjacent unaddressed weaknesses. The skill is NOT listing all eight domains — it is identifying which domain is the bottleneck and tracing its upstream dependencies.

**Cross-skill composition:** Use BEFORE [metacognition] (covers domain 5 of 8 only). Use WITH [cognitive-evolution-stages]: landscape = WHAT domains exist; evolution stages = how competence within any domain develops.

## When to Use

- A cognitive intervention (memory training, decision frameworks, mindfulness) is not producing results
- Designing a learning or development program — avoid tunnel vision on one domain
- Communication failures, team problems, or leadership gaps with a cognitive origin
- Building AI systems that model or augment human cognition
- Someone says "think better" without specifying which domain is the bottleneck

**When NOT to use:** Domain already clearly identified (use domain-specific tools); problem is not cognitively rooted; immediate decision needed under time pressure.

## Coaching Novices (Adaptive Front Door)

- **Engine mode:** user has a concrete case → run The Process directly.
- **Coach mode:** user is unfamiliar or says "I want to think better" → guide step by step.

In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.

1. **What it is:** A map of 8 interconnected mental systems — locating your specific weakness lets us design an intervention that hits the right target.
2. **Check fit:** Does your challenge involve memory, attention, decisions, self-monitoring, emotions, or social cognition? Which resonates?
3. **Elicit the real case:** Walk me through the specific situation. What were you trying to do, and where did things go wrong?
> **[WAIT — do not advance until user responds]**
4. **Domain identification first:** Map the failure to a domain, then check which upstream domain may be causing it — don't jump to solutions.
> **[WAIT — do not advance until user responds]**

_meta.json

{
  "ownerId": "kn754b8sk22s8c6gjxt02bftbn88q7ye",
  "slug": "cognitive-science-landscape",
  "version": "1.0.4",
  "publishedAt": 1784224473705
}

references/sources.md

# Sources — cognitive-science-landscape

> *Primary sources for the [cognitive-science-landscape](../SKILL.md) skill.*

**Primary Source 1:**
Neisser, U. (1967). *Cognitive Psychology*. Appleton-Century-Crofts. Archive: https://archive.org/details/cognitivepsychol00neis

Verbatim: "As used here, the term 'cognition' refers to all the processes by which the sensory input is transformed, reduced, elaborated, stored, recovered, and used... Such terms as sensation, perception, imagery, retention, recall, problem-solving, and thinking, among others, refer to hypothetical stages or aspects of cognition." (p. 4)

**Primary Source 2:**
Baddeley, A.D., & Hitch, G. (1974). Working memory. In G.H. Bower (Ed.), *The Psychology of Learning and Motivation*, Vol. 8, pp. 47–89. Academic Press. https://doi.org/10.1016/S0079-7421(08)60452-1

Verbatim: "We wish to suggest that temporary storage of information does not rely on a single unitary store, but on a system of limited capacity... involving at least two separate storage components." (p. 48)

**Primary Source 3:**
Miller, G.A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. *Psychological Review*, 63(2), 81–97. https://doi.org/10.1037/h0043158

Verbatim: "My problem is that I have been persecuted by an integer. For seven years this number has followed me around, has intruded in my most private data, and has assaulted me from the pages of our most public journals." (p. 81) — the opening establishing that working memory capacity is a real and consistent constraint.

**What is NOT cited and why:** Specific neuroscience imaging studies (fMRI) on cognitive domains are not cited because this skill addresses the functional and behavioral architecture of cognition, not its neural substrate — the landscape is a functional map, not a neuroanatomical one. Neuroimaging research would require a separate skill for that specific application context.

examples/the-1956-mit-symposium-and-the-birth-of-cognitive-science-1956.md

# Method in Action: The 1956 MIT Symposium and the Birth of Cognitive Science (1956)

> *Example for the [cognitive-science-landscape](../SKILL.md) skill.*

Before 1956, what we now call cognition was studied in isolated disciplinary silos. Behaviorism (Watson, Skinner) studied only observable behavior and explicitly excluded mental processes. Neurology studied brain structure without behavioral integration. Linguistics studied language without reference to the mental processes generating it. These disciplines could not explain each other's phenomena.

The September 1956 MIT "Symposium on Information Theory" changed this. In two days, three landmark papers appeared: George Miller presented "The Magical Number Seven, Plus or Minus Two," identifying the ~7-item capacity constraint of working memory. Noam Chomsky presented a critique of Markov process models of language, establishing that grammar was not stimulus-response learning but structural computation. Allen Newell and Herbert Simon presented the Logic Theorist, demonstrating that problem-solving could be modeled as heuristic search through a problem space.

When placed in a single framework, the interactions became immediately visible and scientifically productive. Miller's working memory limits constrained Chomsky's syntactic structures: deep-embedding sentences that respected grammatical rules but violated working-memory capacity were hard to parse not because they were ungrammatical but because they overloaded the working memory buffer. Newell and Simon's problem-solving models required an attention-allocation mechanism — selecting which node in the problem space to expand next — that linked directly to Miller's capacity limits.

The integrated landscape did not just organize existing knowledge — it generated new research questions that isolated disciplines could not have formulated. This is the operative value of a landscape map: it reveals interactions that are invisible in the silos.

Primary source: Miller, G.A. (1956). "The Magical Number Seven, Plus or Minus Two: Some Limits on Our Capacity for Processing Information." *Psychological Review*, 63(2), 81–97. https://doi.org/10.1037/h0043158

Secondary source: Gardner, H. (1985). *The Mind's New Science: A History of the Cognitive Revolution*. Basic Books. (Chapter 5: "The Key Players and the Watershed Year.")

skill-card.md

## Description:

Helps agents identify the cognitive domain behind a thinking or performance failure, map upstream dependencies, and select a domain-appropriate intervention.

This skill is ready for commercial/non-commercial use.

## Publisher:

[deciqai](https://clawhub.ai/user/deciqai)

### License/Terms of Use:

MIT-0

## Use Case:

External users, developers, coaches, educators, and team leads use this skill to diagnose cognitive bottlenecks before choosing interventions for learning, decision-making, communication, leadership, or AI system design workflows.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill text asks agents to paste real user failure patterns back into SKILL.md, which could capture sensitive or personal user data in a reusable runtime file.

Mitigation: Keep packaged skill files read-only during use, and record only generalized, reviewed, anonymized observations outside the runtime skill context.

Risk: The skill can produce misleading cognitive recommendations if an agent assigns a domain without concrete behavioral evidence.

Mitigation: Require observable evidence, map upstream dependencies before selecting tools, and reassess the intervention after the stated 4-6 week audit window.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/deciqai/skills/cognitive-science-landscape)
- [Cognitive Science Landscape product page](https://www.deciqai.com/c/cognitive-science-landscape)
- [Machine-readable skill metadata](https://www.deciqai.com/s/cognitive-science-landscape.json)
- [Sources](references/sources.md)
- [The 1956 MIT Symposium and the Birth of Cognitive Science](examples/the-1956-mit-symposium-and-the-birth-of-cognitive-science-1956.md)
- [Neisser, Cognitive Psychology](https://archive.org/details/cognitivepsychol00neis)
- [Baddeley and Hitch, Working Memory](https://doi.org/10.1016/S0079-7421(08)60452-1)
- [Miller, The Magical Number Seven, Plus or Minus Two](https://doi.org/10.1037/h0043158)

## Skill Output:

**Output Type(s):** [text, markdown, guidance]

**Output Format:** [Markdown diagnostic map and coaching guidance]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include stepwise questions, domain mapping, upstream dependency analysis, intervention selection, and reassessment criteria.]

## Skill Version(s):

1.0.4 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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