Agent skill

Meta Mental Models

by asgard-ai-platform in asgard-ai-platform/skills

Apply a latticework of mental models from multiple disciplines to improve decision quality.

MITAuto-check passed

Install Meta Mental Models

skills CLI
$ npx skills add asgard-ai-platform/skills --skill meta-mental-models -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install asgard-ai-platform/skills meta-mental-models --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/meta-mental-models .claude/skills/meta-mental-models && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
meta-mental-models
GitHub stars
242
Token cost
~1.2k tokens
SKILL.md length
392 words
Files
3 (incl. references)
Skills in repo
207
Repo updated
First seen
Licence
MIT

At a glance

Apply a latticework of mental models from multiple disciplines to improve decision quality.

  • Works in 5 steps: State the decision or problem → Select 2-3 relevant models from… → Apply each model to the situation — what… → …
  • The user needs to think more clearly
  • SKILL.md covers Framework, Output Format, Gotchas and References
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Meta Mental Models is an agent skill from asgard-ai-platform/skills. Apply a latticework of mental models from multiple disciplines to improve decision quality. Use this skill when the user needs to think more clearly, avoid cognitive blind spots, apply cross-disciplinary reasoning, or evaluate a complex decision from multiple angles — even if they say 'how should I think about this', 'what am I missing', 'give me a different perspective', or 'what frameworks apply here'.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `examples/sample_scenario.md` and `references/mental-models-catalog.md`).

The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.

When your agent uses it

  • The user needs to think more clearly
  • Avoid cognitive blind spots
  • Apply cross-disciplinary reasoning
  • Evaluate a complex decision from multiple angles — even if they say how should I think about this

Example prompts

  • “how should I think about this”
  • “what am I missing”
  • “give me a different perspective”
  • “/meta-mental-models”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. State the decision or problem
  2. Select 2-3 relevant models from different disciplines
  3. Apply each model to the situation — what does it suggest?
  4. Compare conclusions — where do they agree? Where do they disagree?
  5. Synthesize — the disagreement reveals the key trade-off to resolve

What it can do on your machine

Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Meta Mental Models loads about 1.2k tokens when it runs, and up to ~7.2k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 392 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 392 words, ~1,169 tokens.

Download SKILL.mdSave it as .claude/skills/meta-mental-models/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
meta-mental-models
description
Apply a latticework of mental models from multiple disciplines to improve decision quality. Use this skill when the user needs to think more clearly, avoid cognitive blind spots, apply cross-disciplinary reasoning, or evaluate a complex decision from multiple angles — even if they say 'how should I think about this', 'what am I missing', 'give me a different perspective', or 'what frameworks apply here'.
metadata.category
WP-22 跨學科
metadata.tags
meta-thinking, mental-models, munger, decision-making

Mental Models Toolkit

Framework

IRON LAW: Use Multiple Models, Not Just Your Favorite

"To a man with a hammer, everything looks like a nail." (Munger)
A single mental model creates blind spots. Apply 2-3 models from
DIFFERENT disciplines to any important decision. Where models agree,
confidence is high. Where they disagree, the disagreement reveals
the most important dimension of the decision.
Core Mental Models (Cross-Disciplinary)

From Physics/Engineering

ModelPrincipleApplication
InversionInstead of "how do I succeed?", ask "how would I fail?" Then avoid that.Risk management, pre-mortem
Second-order effectsEvery action has consequences, which have consequences. Think two steps ahead.Policy design, strategy
EntropySystems tend toward disorder without energy input. Things decay by default.Maintenance, quality, relationships

From Biology

ModelPrincipleApplication
Evolution/natural selectionWhat survives is what's adapted, not what's "best" in absolute terms.Market competition, product-market fit
Red Queen effectYou must keep improving just to stay in the same place (because competitors improve too).Competitive strategy
Niche specializationGeneralists and specialists coexist because they serve different niches.Market positioning, career strategy

From Mathematics/Statistics

ModelPrincipleApplication
Pareto principle (80/20)~80% of effects come from ~20% of causes.Prioritization, resource allocation
Regression to the meanExtreme results tend to be followed by more average ones.Performance evaluation, forecasting
Bayes' theoremUpdate beliefs based on new evidence, weighted by prior probability.Decision-making under uncertainty

From Psychology

ModelPrincipleApplication
Incentive-caused biasPeople do what they're incentivized to do, not what you ask them to do.Compensation design, policy design
Circle of competenceKnow what you know and what you don't. Stay within your expertise for high-stakes decisions.Self-awareness, delegation
Hanlon's razorNever attribute to malice what is adequately explained by ignorance or incompetence.Conflict resolution, workplace dynamics
Show full SKILL.md (159 more words)Show less
Application Method
  1. State the decision or problem
  2. Select 2-3 relevant models from different disciplines
  3. Apply each model to the situation — what does it suggest?
  4. Compare conclusions — where do they agree? Where do they disagree?
  5. Synthesize — the disagreement reveals the key trade-off to resolve

Output Format

markdown
# Multi-Model Analysis: {Decision}

## Models Applied
| Model | Discipline | Insight |
|-------|-----------|---------|
| {model 1} | {field} | {what this model says about the situation} |
| {model 2} | {field} | {what this model says} |
| {model 3} | {field} | {what this model says} |

## Convergence
{Where models agree — high confidence}

## Divergence
{Where models disagree — key trade-off to resolve}

## Synthesis
{Recommended decision based on multi-model analysis}

Gotchas

  • Models are simplifications: Every model omits something. The map is not the territory. Use models as lenses, not as truth.
  • Model inventory grows over time: Start with 10-15 core models. Add new ones as you encounter new domains. Quality of application matters more than quantity of models.
  • Some models conflict by design: Inversion says "avoid failure." Evolution says "failure is how you learn." The conflict is resolved by context: avoid catastrophic failure, embrace recoverable failure.
  • Don't force-fit: Not every model applies to every situation. If a model doesn't naturally illuminate the problem, skip it — don't stretch it to fit.

References

  • For expanded mental models catalog (50+), see references/mental-models-catalog.md

© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in meta-mental-models of asgard-ai-platform/skills.

  • SKILL.md
  • examples/sample_scenario.md
  • references/mental-models-catalog.md

Open the folder on GitHubat commit 4e7f4f8

Compare with similar skills

Meta Mental Models next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Meta Mental Models compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Meta Mental Models this skillasgard-ai-platform/skills242—~1.2kAutomated safety check: PassMIT
Skill Improversickn33/agentic-awesome-skills47k2 repos~1.5kAutomated safety check: PassMIT
Improve Oaselastic/kibana21k—~4.8kAutomated safety check: PassCustom licence
Self-Improve Evolutionary LoopYeachan-Heo/oh-my-claudecode40k—~5.3kAutomated safety check: WarnMIT
Bdi Mental Statessickn33/agentic-awesome-skills47k2 repos~2.6kAutomated safety check: PassMIT
Skill Improvement LoopDonchitos/Claude-Code-Game-Studios26k—~1.7kAutomated safety check: NotesMIT

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Questions about Meta Mental Models

What does Meta Mental Models do?

Apply a latticework of mental models from multiple disciplines to improve decision quality. Meta Mental Models is an agent skill from asgard-ai-platform/skills. Apply a latticework of mental models from multiple disciplines to improve decision quality.

When should I use Meta Mental Models?

Meta Mental Models fits situations like: the user needs to think more clearly; avoid cognitive blind spots; apply cross-disciplinary reasoning; evaluate a complex decision from multiple angles — even if they say how should I think about this.

How do I install Meta Mental Models in Claude Code?

Run `npx skills add asgard-ai-platform/skills --skill meta-mental-models -a claude-code`. Or copy the skill folder (meta-mental-models in asgard-ai-platform/skills) into .claude/skills/meta-mental-models in your project. Claude Code loads it when a task matches its description.

How do I install Meta Mental Models in Codex?

Run `npx skills add asgard-ai-platform/skills --skill meta-mental-models -a codex`. Or copy the skill folder (meta-mental-models in asgard-ai-platform/skills) into .agents/skills/meta-mental-models in your project. Codex loads it when a task matches its description.

Can I use Meta Mental Models in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add asgard-ai-platform/skills --skill meta-mental-models -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meta-mental-models, .gemini/skills/meta-mental-models, .github/skills/meta-mental-models and .opencode/skills/meta-mental-models in your project.

What does Meta Mental Models need to run?

SKILL.md names no scripts, command-line tools or credentials: Meta Mental Models is instructions for the agent only.

Does Meta Mental Models access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Meta Mental Models safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Meta Mental Models use?

Meta Mental Models is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Meta Mental Models use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.1k tokens, read only when the agent opens those files.

What are the alternatives to Meta Mental Models?

Skills that share tags, products or a category with Meta Mental Models: Skill Improver (sickn33/agentic-awesome-skills, 47k stars), Improve Oas (elastic/kibana, 21k stars), Self-Improve Evolutionary Loop (Yeachan-Heo/oh-my-claudecode, 40k stars) and Bdi Mental States (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meta Mental Models?

asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.

Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.