ensemble-solving
CheckedGenerate multiple diverse solutions in parallel and select the best. Use for architecture decisions, code generation with multiple valid approaches, or creative tasks where exploring alternatives impr
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What we know about this skill
Publisher
mhattingpete
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
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No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned mhattingpete/claude-skills-marketplace at b5b34bcf4c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- b5b34bcf4c
- Scanned
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About this skill
What it does
This skill generates multiple, diverse solutions to a problem concurrently, then selects the optimal one based on an evaluation metric. It's particularly useful when there are several viable approaches to a task, allowing for exploration of different options and ultimately choosing the best fit. The process involves parallel generation followed by automated selection, leading to more robust outcomes than relying on a single solution.
When to use it
- Architecture Design: Generate multiple architectural designs for a new software system and choose the one with the highest performance score.
- Code Generation: Produce several code snippets that achieve the same functionality but using different algorithms, then select the most efficient or readable version.
- Creative Writing: Explore diverse plotlines or character concepts for a story by generating multiple options and selecting the most compelling narrative arc.
- Problem Solving: When facing complex challenges with no immediately obvious solution, use this skill to explore various approaches simultaneously.
Key capabilities
- Parallel generation of solutions
- Diversity-focused solution creation
- Automated selection based on evaluation metrics
- Exploration of multiple valid approaches
Example prompts
- "Generate three different architectural designs for a microservice, prioritizing scalability and resilience."
- "Create five code snippets to sort a list using various algorithms. Evaluate them by execution time."
- "Develop two plot outlines for a fantasy novel centered around a lost artifact; select the one with the most engaging premise."
Tips & gotchas
The quality of the selected solution depends heavily on the clarity and effectiveness of the evaluation metric used to compare generated options. Ensure this metric accurately reflects the desired outcome or criteria for success.