Agent skill

Meta Decision Analysis

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

Apply structured decision analysis using decision matrices, decision trees, expected value, and multi-criteria decision analysis (MCDA).

MITAuto-check passed

Install Meta Decision Analysis

skills CLI
$ npx skills add asgard-ai-platform/skills --skill meta-decision-analysis -a claude-code

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

GitHub CLI
$ gh skill install asgard-ai-platform/skills meta-decision-analysis --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-decision-analysis .claude/skills/meta-decision-analysis && 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-decision-analysis
GitHub stars
242
Token cost
~814 tokens
SKILL.md length
253 words
Files
3 (incl. references)
Skills in repo
207
Repo updated
First seen
Licence
MIT

At a glance

Apply structured decision analysis using decision matrices, decision trees, expected value, and multi-criteria decision analysis (MCDA).

  • Works in 6 steps: List alternatives (3-6 options including… → Define criteria (4-8 factors that matter) → Weight criteria (must sum to 100%) → …
  • The user faces a complex decision with multiple options and criteria
  • 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 Decision Analysis is an agent skill from asgard-ai-platform/skills. Apply structured decision analysis using decision matrices, decision trees, expected value, and multi-criteria decision analysis (MCDA). Use this skill when the user faces a complex decision with multiple options and criteria, needs to compare alternatives objectively, quantify risk vs reward, or facilitate group decisions — even if they say 'which option should we choose', 'help me decide', 'how do we compare these options', or 'what's the expected outcome'.

Its SKILL.md is about 810 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/decision-tools.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 faces a complex decision with multiple options and criteria
  • Needs to compare alternatives objectively
  • Quantify risk vs reward
  • Facilitate group decisions — even if they say which option should we choose

Example prompts

  • “which option should we choose”
  • “help me decide”
  • “how do we compare these options”
  • “/meta-decision-analysis”

Workflow steps

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

  1. List alternatives (3-6 options including "do nothing")
  2. Define criteria (4-8 factors that matter)
  3. Weight criteria (must sum to 100%)
  4. Score each option per criterion (1-5 or 1-10)
  5. Calculate weighted total = Σ(score × weight)
  6. Sensitivity check: Does the winner change if you adjust the top-weighted criterion?

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 Decision Analysis loads about 814 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 253 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~814
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

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). 253 words, ~814 tokens.

Download SKILL.mdSave it as .claude/skills/meta-decision-analysis/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
meta-decision-analysis
description
Apply structured decision analysis using decision matrices, decision trees, expected value, and multi-criteria decision analysis (MCDA). Use this skill when the user faces a complex decision with multiple options and criteria, needs to compare alternatives objectively, quantify risk vs reward, or facilitate group decisions — even if they say 'which option should we choose', 'help me decide', 'how do we compare these options', or 'what's the expected outcome'.
metadata.category
WP-22 跨學科
metadata.tags
meta-thinking, decision-analysis, decision-matrix

Decision Analysis

Framework

IRON LAW: Make Criteria and Weights Explicit BEFORE Evaluating Options

Choosing criteria after seeing the options lets bias sneak in — you
unconsciously weight criteria that favor your preferred option.
Define criteria, assign weights, THEN score options.
Decision Matrix (Weighted Scoring)
  1. List alternatives (3-6 options including "do nothing")
  2. Define criteria (4-8 factors that matter)
  3. Weight criteria (must sum to 100%)
  4. Score each option per criterion (1-5 or 1-10)
  5. Calculate weighted total = Σ(score × weight)
  6. Sensitivity check: Does the winner change if you adjust the top-weighted criterion?
Decision Tree (Sequential Decisions Under Uncertainty)

For decisions with uncertainty and sequential steps:

  1. Map decision nodes (squares) and chance nodes (circles)
  2. Assign probabilities to chance outcomes (must sum to 1.0)
  3. Assign payoffs to terminal nodes
  4. Calculate Expected Value = Σ(probability × payoff)
  5. Choose the branch with highest EV (or best risk-adjusted outcome)
Multi-Criteria Decision Analysis (MCDA)

For complex decisions with competing stakeholder priorities:

  1. Each stakeholder defines their criteria and weights independently
  2. Aggregate into a combined weighted matrix
  3. Identify where stakeholders agree (easy decisions) and disagree (requires negotiation)

Output Format

markdown
# Decision Analysis: {Decision}

## Alternatives
1. {Option A}
2. {Option B}
3. {Option C}

## Decision Matrix
| Criterion | Weight | Option A | Option B | Option C |
|-----------|--------|----------|----------|----------|
| {criterion 1} | {X%} | {1-5} | {1-5} | {1-5} |
| **Weighted Total** | 100% | **{total}** | **{total}** | **{total}** |

## Sensitivity Analysis
- If {criterion} weight changes from X% to Y%, winner changes from {A} to {B}

## Recommendation
{Winner with rationale and key trade-offs acknowledged}

Gotchas

  • "Do nothing" is always an option: Include it as a baseline. Sometimes the best decision is to wait.
  • Scores are subjective: A score of "4" from one person ≠ "4" from another. Calibrate by defining what each score means before scoring.
  • Expected value ignores risk preference: EV of $50 (certain) vs EV of $50 (50% chance of $0, 50% chance of $100) are equal by EV but feel very different. For high-stakes decisions, use risk-adjusted metrics.
  • Analysis paralysis: Decision analysis should accelerate decisions, not delay them. Set a time limit for the analysis.

References

  • For decision tree software tools, see references/decision-tools.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-decision-analysis of asgard-ai-platform/skills.

  • SKILL.md
  • examples/sample_scenario.md
  • references/decision-tools.md

Open the folder on GitHubat commit 4e7f4f8

Compare with similar skills

Meta Decision Analysis 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 Decision Analysis compared with similar skills
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Meta Decision Analysis this skillasgard-ai-platform/skills242—~814Automated safety check: PassMIT
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Pierre Trees File Treepierrecomputer/pierre6.3k—~473Automated safety check: PassApache-2.0
Expectmillionco/expect3.6k—~988Automated safety check: PassMIT
Matricesparcadei/Continuous-Claude-v33.9k1 repos~316Automated safety check: NotesMIT
Value Propositionphuryn/pm-skills27k—~1.5kAutomated safety check: PassMIT

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Questions about Meta Decision Analysis

What does Meta Decision Analysis do?

Apply structured decision analysis using decision matrices, decision trees, expected value, and multi-criteria decision analysis (MCDA). Meta Decision Analysis is an agent skill from asgard-ai-platform/skills. Apply structured decision analysis using decision matrices, decision trees, expected value, and multi-criteria decision analysis (MCDA).

When should I use Meta Decision Analysis?

Meta Decision Analysis fits situations like: the user faces a complex decision with multiple options and criteria; needs to compare alternatives objectively; quantify risk vs reward; facilitate group decisions — even if they say which option should we choose.

How do I install Meta Decision Analysis in Claude Code?

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

How do I install Meta Decision Analysis in Codex?

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

Can I use Meta Decision Analysis 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-decision-analysis -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-decision-analysis, .gemini/skills/meta-decision-analysis, .github/skills/meta-decision-analysis and .opencode/skills/meta-decision-analysis in your project.

What does Meta Decision Analysis need to run?

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

Does Meta Decision Analysis 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 Decision Analysis 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 Decision Analysis use?

Meta Decision Analysis 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 Decision Analysis use?

About 814 tokens (SKILL.md is roughly 3.3k 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 2.5k tokens, read only when the agent opens those files.

What are the alternatives to Meta Decision Analysis?

Skills that share tags, products or a category with Meta Decision Analysis: More Trees Automation (ComposioHQ/awesome-claude-skills, 77k stars), Pierre Trees File Tree (pierrecomputer/pierre, 6.3k stars), Expect (millionco/expect, 3.6k stars) and Matrices (parcadei/Continuous-Claude-v3, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meta Decision Analysis?

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.