Machine Learning

New growth planting skill. Use when it's time to add something to the codebase that serves the intended topology — after /prescribe names the vision and /undergrowth (probe mode) confirms viability. Reads the season signal from forestry-state.json before planting. Won't plant in fire season without explicit prescription.

JDHayesBC0

Machine Learning

Pattern Proposal

This skill should be used when the user asks for improvement suggestions, says "what do you propose", "how to improve", or invokes /suggest. Also triggers automatically when confirmed patterns exist with a ready action. Triggers on "propose improvements", "apply detected patterns", "suggest changes", "améliorer", "proposer", or "qu'est-ce que tu proposes". Transforms confirmed patterns into concrete actions and manages the feedback loop post-application.

julienrenier0

Machine Learning

Role Fit Analysis

Run an end-to-end deterministic role fit analysis by comparing a resume against a target job description with role-analyzer MCP tools.

JungBok-Cho0

Machine Learning

Upgrade Integration

Integrate Carnegie Learning's UpGrade A/B testing platform into LMS and EdTech applications. Guides setup of decision points, experiment conditions, LTI/xAPI integration, and outcome logging. Use when asked to add A/B testing, experiments, or feature flags to educational software.

JDerekLomas0

Machine Learning

Prepare Energy Data

Use this skill when the task is to clean, align, validate, and export daily data for Electricity, Gas, WTI, Coal, Solar, and Wind into a single modeling-ready dataset.

JUNLONGTI06260

Machine Learning

Train Topology Graph Transformer

Use this skill when the task is to train the topology-aware spatio-temporal graph transformer on dynamic spillover graphs to predict future HSS or TCI.

JUNLONGTI06260

Machine Learning

Unify Types

Use when similar types have minor differences. Use when union types become complex. Use when choosing between modeling differences.

luyi9850

Machine Learning

Matlab Change Verification

Use this skill when a task changes MATLAB `.m` files, classdef or package code, startup or addpath behavior, MATLAB scripts, or MATLAB tests. Do not use it for Python-only changes or for data-only edits.

lndshrk5040

Machine Learning

Reasoning Synthesize

Meta-reasoning skill that connects disparate findings into coherent, actionable insight. Injectable into any SDD phase to merge multiple analyses, resolve conflicts, and surface emergent patterns. Trigger: When combining outputs from multiple skills, merging perspectives, or resolving conflicting analyses.

JNZader0

Machine Learning

Team

Orchestrate N workers on a shared goal using tmux+worktrees+subagent back-pressure

Jurel890

Machine Learning

Kalshi Mcp

Complete Kalshi trading MCP server and CLI for prediction markets

JussCubs0

Machine Learning

Paper Figure Gen

为学术论文生成 publication-quality 图片（架构图、pipeline、概念示意图、对比图等）。内置学术 prompt 工程、强制 inspect-revise 循环、LaTeX snippet 输出。底层调用 gemini-image-gen skill 的 generate_image.py 引擎。适用场景："画个架构图"、"generate a figure for my paper"、"论文配图"、"method overview diagram"。

justcyl0

Machine Learning

Multi Model Routing

Leverage brainstorm's intelligent model routing. Use when optimizing cost, selecting models for specific tasks, or understanding routing decisions.

justinjilg0

Machine Learning

Check Plan

Adaptive mesh refinement for plans — bidirectional verification that catches what single-pass planning misses

justinstimatze0

Machine Learning

Upgrade Integration

Integrate Carnegie Learning's UpGrade A/B testing platform into LMS and EdTech applications. Guides setup of decision points, experiment conditions, LTI/xAPI integration, and outcome logging. Use when asked to add A/B testing, experiments, or feature flags to educational software.

JDerekLomas0

Machine Learning

AFM Fusion: Seed + Engine + WHY

Assumption Failure Methodology v3.1 — seed-first + pure engine + WHY questioning. Phase 1: broad sweep to find anything wrong, inconsistent, or fragile — any dimension. Phase 2: for each seed, interrogate the designer (three questions), then freely chain REVERSE/FORWARD on the board. Verdicts: VULNERABLE (confirmed, go deeper + ask WHY), HOLDS (defense found — challenge the defense's own assumptions), UNCLEAR (defer). Every seed MUST get a verdict. Trigger: 'afm', 'assumption failure', 'run afm', 'assumption review'. Best for: code analysis, architecture reviews, finding hidden assumptions across all dimensions — why things break, why designs fail, why logic is wrong.

juzleaf0

Machine Learning

A2 Skill Improver Second Target Admission Audit Operator

Audit-only follow-on that decides whether skill-improver-operator should hold at one proven target or admit one second bounded native target class.

Joshua-Eisenhart0

Machine Learning

Domain Modeling

Use this skill for semantic types, primitive obsession, parse-don't-validate, invalid-state prevention, and domain-focused review. It is also the domain review lens for the TDD cycle.

jwilger0

Machine Learning

Tailor

Tailor resume bullet points to a job description. Use when the user provides scraped job description text and wants tailored resume bullets generated.

kamronarabi0

Machine Learning

Pattern Author

Draft and normalize Rune Weaver patterns through a three-stage process: candidate identification, draft creation, and admission validation.

Kan1330

Machine Learning

Continuous Learning V2

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.

KanakMalpani0

Machine Learning

Corearena Classes Rewards

Troubleshooting class selection, tier upgrades, experience, and nugget economy

kangarko0

Machine Learning

Improve

Run the improvement loop - analyze failures and generate persistent learnings.

j-d0g0

Machine Learning

Pipeline

Post-training pipeline - sync checkpoint to skt, run eval on L40S, collect results. Use when user wants end-to-end automation after training completes.

kang-jaehyun0

Machine Learning

Gsd Set Profile

Machine Learning

Gsd Set Profile

Statistical Inference

Bayesian Inference

Gsd Set Profile

Gsd Set Profile

Implement Feature Safely

Greenwood

Pattern Proposal

Role Fit Analysis

Upgrade Integration

Prepare Energy Data

Train Topology Graph Transformer

Unify Types

Matlab Change Verification

Reasoning Synthesize

Team

Kalshi Mcp

Paper Figure Gen

Multi Model Routing

Check Plan

Upgrade Integration

AFM Fusion: Seed + Engine + WHY

A2 Skill Improver Second Target Admission Audit Operator

Domain Modeling

Tailor

Pattern Author

Continuous Learning V2

Corearena Classes Rewards

Improve

Pipeline