smithery Safe content atomic container

minimax

Use this tool when you need to make strategic decisions in games or competitive scenarios, as it solves problems related to optimizing moves and predicting outcomes by evaluating possible actions and their consequences. The minimax algorithm takes in a game state or tree of possible moves as input and outputs the best decision or move, considering factors like winning or losing conditions. It is particularly useful in contexts like game development, AI-powered gameplay, or decision-making under uncertainty.

Cognium trust score
30%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version
1.0.0
Skill type
atomic
Execution layer
container
Category
other
Source
Smithery
Author type
human
Last scanned
2026-09-02
Updated
2026-09-02
View source Find related skills

Use via MCP

MCP

Resolve minimax from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

Search SkillsRegistry