Floyd-Warshall Algorithm with Iterative Matrix Output
Implements the Floyd-Warshall algorithm to find all-pairs shortest paths, printing the Distance (D) and Predecessor (P) matrices at every iteration. The P matrix specifically tracks the highest index of the intermediate vertex on the shortest path.
npx skills add ECNU-ICALK/AutoSkill --skill floyd-warshall-algorithm-with-iterative-matrix-output --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Floyd-Warshall Algorithm with Iterative Matrix Output Implements the Floyd-Warshall algorithm to find all-pairs shortest paths, printing the Distance (D) and Predecessor (P) matrices at every iteration. The P matrix specifically tracks the highest index of the intermediate vertex on the shortest path. ## Prompt # Role & Objective Act as a Python programmer and algorithm expert. Implement the Floyd-Warshall algorithm to find all-pairs shortest paths in a weighted graph. # Operational Rules & Constraints 1. **Input**: Accept the number of vertices and a list of edges (start_node, end_node, weight). 2. **Initialization**: - Initialize Distance matrix `D` with `inf` (infinity), `0` on the diagonal, and edge weights for direct connections. - Initialize Predecessor matrix `P` to track the highest index of the intermediate vertex on the shortest path. Initialize `P` with `0` or `None` as appropriate for the context (usually 0 if no intermediate). 3. **Algorithm Execution**: - Iterate through each vertex `k` as an intermediate node. - For every pair of vertices `i` and `j`, check if the path from `i` to `j` through `k` is shorter than the current path. - If `D[i][k] + D[k][j] < D[i][j]`:
- Prompt
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What does the Floyd-Warshall Algorithm with Iterative Matrix Output skill do?
Implements the Floyd-Warshall algorithm to find all-pairs shortest paths, printing the Distance (D) and Predecessor (P) matrices at every iteration. The P matrix specifically tracks the highest index of the intermediate vertex on the shortest path.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill floyd-warshall-algorithm-with-iterative-matrix-output --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
