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Ensemble Problem Solving · mhattingpete | DecimalAI

agent toolingby mhattingpete

Ensemble Problem Solving

mhattingpete/ensemble-solving

Source mhattingpete/claude-skills-marketplace ↗License Apache-2.0

Generate multiple diverse solutions in parallel and select the best.

SkillScore45Maintained

Automatic

AI Engineer pack

Last verified 8/18/2026

What it changes

Passed 10 of 22 test cases with the skill, and 8 of 22 without it.

Without skill36%

With skill45%

Checks it passed that the model alone missed

Evaluates the candidate solutions using weighted rubric criteria.
Assigns Clarity a 15 percent base weight in the evaluation rubric.
Delegates the task to generate three parallel candidate solutions.

and 2 more in the full report

3 fixed7 passed either way11 still failing1 broke

Pass-rate lift: +9 pp
Tokens: +44%
Agent turns: 0%
Response time: +6%

Model gemini-3.6-flashMeasured 8/18/2026v110 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/mhattingpete-ensemble-solving/SKILL.md https://app.decimal.ai/s/mhattingpete-ensemble-solving/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add mhattingpete-ensemble-solving, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/mhattingpete-ensemble-solving/ and pins it in .decimal/skills.lock

decimalai skills add mhattingpete-ensemble-solving

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/mhattingpete-ensemble-solving/SKILL.md https://app.decimal.ai/s/mhattingpete-ensemble-solving/SKILL.md

Raw file: /s/mhattingpete-ensemble-solving/SKILL.md ↗ · machine-readable summary at /s/mhattingpete-ensemble-solving.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 3

Prompt

Explore different approaches for structuring a REST API error handling middleware in Express.js.

What was checked, without and with the skill
Checked	Without skill	With skill
Assigns Clarity a 15 percent base weight in the evaluation rubric.	Missed	Passed
Assigns Elegance a 15 percent base weight in the evaluation rubric.	Missed	Passed

case-09 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md161 lines3 files

Ensemble Problem Solving

Generate multiple solutions in parallel by spawning 3 subagents with different approaches, then evaluate and select the best result.

When to Use

Activation phrases:

"Give me options for..."
"What's the best way to..."
"Explore different approaches..."
"I want to see alternatives..."
"Compare approaches for..."
"Which approach should I use..."

Good candidates:

Architecture decisions with trade-offs
Code generation with multiple valid implementations
API design with different philosophies
Naming, branding, documentation style
Refactoring strategies
Algorithm selection

Skip ensemble for:

Simple lookups or syntax questions
Single-cause bug fixes
File operations, git commands
Deterministic configuration changes
Tasks with one obvious solution

What It Does

Analyzes the task to determine if ensemble approach is valuable
Generates 3 distinct prompts using appropriate diversification strategy
Spawns 3 parallel subagents to develop solutions independently
Evaluates all solutions using weighted criteria
Returns the best solution with explanation and alternatives summary

Approach

Step 1: Classify Task Type

Track record

Benchmark

10 / 22

test cases passed, vs 8 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

mhattingpete / claude-skills-marketplace

engineering-workflow-plugin/skills/ensemble-solving/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1Bundled 2 files

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Ensemble Problem Solving

When to Use

What It Does

Approach

Step 1: Classify Task Type

Track record

Benchmark

Adoption

SkillSafety

Source

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