machine-learning
185
base-model-selector
Use when starting a fine-tuning project to determine if fine-tuning is needed, or when evaluating whether a base model meets quality thresholds for a specific domain task
majiayu000
data-ai
sorting
์คํ
current ordering strategy
query
all entries
refine the visible subset
machine-learning
185
baseline-quality-assessment
Achieve comprehensive baseline (V_meta โฅ0.40) in iteration 0 to enable rapid convergence. Use when planning iteration 0 time allocation, domain has established practices to reference, rich historical data exists for immediate quantification, or targeting 3-4 iteration convergence. Provides 4 quality levels (minimal/basic/comprehensive/exceptional), component-by-component V_meta calculation guide, and 3 strategies for comprehensive baseline (leverage prior art, quantify baseline, domain universality analysis). 40-50% iteration reduction when V_meta(sโ) โฅ0.40 vs <0.20. Spend 3-4 extra hours in iteration 0, save 3-6 hours overall.
majiayu000
data-ai
machine-learning
185
cns-tinker
Apply Chiral Narrative Synthesis (CNS) framework for contradiction detection and multi-source analysis using Tinker API for model training. Use when implementing CNS with Tinker for fine-tuning models on contradiction detection, training on SciFact/FEVER datasets, or building multi-agent debate systems for narrative synthesis.
majiayu000
data-ai
machine-learning
185
create-test-lane
This skill should be used when creating new test lanes for the XML test data generator. A test lane consists of an XSD schema file paired with a meta.yaml configuration file. This skill guides the process of creating both files with proper semantic type mappings, distribution settings, and field overrides. Use when users request new test lanes, want to generate test data configurations, or need help setting up XSD + meta.yaml pairs for the testgen CLI tool.
majiayu000
data-ai
machine-learning
185
data-ai-ml-skill
Master machine learning, data engineering, AI engineering, MLOps, and prompt engineering. Build intelligent systems from data pipelines to production AI applications with LLMs, agents, and modern frameworks.
majiayu000
data-ai
machine-learning
185
data-ai-skills
Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
majiayu000
data-ai
machine-learning
185
huggingface-model-trainer
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods
majiayu000
data-ai
machine-learning
185
laravel-models
Eloquent model patterns and database layer. Use when working with models, database entities, Eloquent ORM, or when user mentions models, eloquent, relationships, casts, observers, database entities.
majiayu000
data-ai
machine-learning
185
baseline-runner
Use this when the project needs real baseline results before or alongside the main model. Runs classical or literature-aligned baselines under the same protocol and writes a reproducible baseline summary.
tsingyuai
data-ai
machine-learning
185
research-pipeline
Use this skill when the user wants to research a topic, analyze papers, build ML models, or run experiments. Orchestrates the full pipeline: paper search โ analysis โ planning โ implementation โ review โ experiments.
tsingyuai
data-ai
data-analysis
184
hugging-face-stat
ไธ้จ็จไบ่ทๅ Hugging Face ไธ็ๆจกๅใๆฐๆฎ้ๅ Space ็่ฏฆ็ป็ป่ฎกไฟกๆฏ๏ผๅ ๆฌๅๅฒๆปไธ่ฝฝ้ใ
cafe3310
data-ai
data-analysis
183
google-sheets
Integrate with Google Sheets for spreadsheet management and data processing. Use when you need to: (1) create and update spreadsheets, (2) read and write cell data in ranges, (3) manage sheets and formatting, or (4) create charts and analyze data in spreadsheets.
refly-ai
data-ai
data-analysis
181
regression-analysis-modeling
Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. Use when you need to predict continuous values like housing prices, sales forecasts, demand predictions, or any numerical target variables. Includes automated feature engineering, model comparison, and visualization with Chinese language support.
liangdabiao
data-ai
data-analysis
181
funnel-analysis
Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities. Use when working with multi-step user journey data, conversion analysis, or when user mentions funnels, conversion rates, or user flow analysis.
liangdabiao
data-ai
data-analysis
181
attribution-analysis-modeling
Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models. Use when you need to analyze marketing channel effectiveness, calculate conversion attribution, optimize marketing budgets, or understand customer journey paths. Supports channel transition analysis, ROI calculation, and marketing optimization insights with Chinese language support.
liangdabiao
data-ai
data-analysis
181
rfm-customer-segmentation
Perform RFM (Recency, Frequency, Monetary) customer segmentation analysis on e-commerce data. Use when you need to analyze customer value, identify VIP customers, or create marketing segments. Automatically cleans data, calculates RFM metrics, applies K-means clustering, and generates visualization reports with Chinese language support.
liangdabiao
data-ai
data-analysis
181
recommender-system
ๆบ่ฝๆจ่็ณป็ปๅๆๅทฅๅ ท๏ผๆไพๅค็งๆจ่็ฎๆณๅฎ็ฐใ่ฏไผฐๆกๆถๅๅฏ่งๅๅๆใไฝฟ็จๆถ้่ฆ็จๆท่กไธบๆฐๆฎใๅๅไฟกๆฏๆ่ฏๅๆฐๆฎ๏ผๆฏๆๅๅ่ฟๆปคใ็ฉ้ตๅ่งฃ็ญๆจ่็ฎๆณ๏ผ็ๆไธชๆงๅๆจ่็ปๆๅ่ฏไผฐๆฅๅใ
liangdabiao
data-ai
data-analysis
181
ab-testing-analyzer
ๅ จ้ข็ABๆต่ฏๅๆๅทฅๅ ท๏ผๆฏๆๅฎ้ช่ฎพ่ฎกใ็ป่ฎกๆฃ้ชใ็จๆทๅ็พคๅๆๅๅฏ่งๅๆฅๅ็ๆใ็จไบๅๆไบงๅๆน็ใ่ฅ้ๆดปๅจใๅ่ฝไผๅ็ญABๆต่ฏ็ปๆ๏ผๆไพ็ป่ฎกๆพ่ๆงๆฃ้ชๅๆทฑๅบฆๆดๅฏใ
liangdabiao
data-ai
data-analysis
181
data-exploration-visualization
่ชๅจๅๆฐๆฎๆข็ดขๅๅฏ่งๅๅทฅๅ ท๏ผๆไพไปๆฐๆฎๅ ่ฝฝๅฐไธไธๆฅๅ็ๆ็ๅฎๆดEDA่งฃๅณๆนๆกใๆฏๆๅค็งๅพ่กจ็ฑปๅใๆบ่ฝๆฐๆฎ่ฏๆญใๅปบๆจก่ฏไผฐๅHTMLๆฅๅ็ๆใ้็จไบๅป็ใ้่ใ็ตๅ็ญ้ขๅ็ๆฐๆฎๅๆ้กน็ฎใ
liangdabiao
data-ai
data-analysis
181
echarts-chart
EChartsๆฐๆฎๅฏ่งๅไธๅฎถ๏ผ่ฝๅคๆ นๆฎๆฐๆฎๅๅๆ้ๆฑ็ๆไธไธ็EChartsๅพ่กจ้ ็ฝฎใ้็จไบ๏ผๆฐๆฎๅฏ่งๅใๅพ่กจ็ๆใๆฐๆฎๅฑ็คบใ่ถๅฟๅๆๅพ่กจใๅฏนๆฏๅพ่กจใๅๅธๅพ่กจใ้ฅผๅพใๆฑ็ถๅพใๆ็บฟๅพใๆฃ็นๅพใ้ท่พพๅพใ็ญๅๅพใไปช่กจ็ใๆผๆๅพใๆ ๅฝขๅพใๅ ณ็ณปๅพใๆกๅบๅพใๆฐๆฎๆฅ่กจๅพ่กจใBIๅพ่กจใๆฐๆฎๅคงๅฑใไปช่กจๆฟๅพ่กจใ็ป่ฎกๅพ่กจใๅๆๅพ่กจใๅฏ่งๅๆฅๅใ
xiaoyuge886
data-ai
llm-ai
180
agent-recorder-fixtures
Record real OpenAI/Anthropic HTTP back-and-forth (requests + responses, including streaming text/event-stream) and print paste-ready Swift fixtures for SwiftAgent unit tests (ReplayHTTPClient) using the AgentRecorder CLI or HTTPReplayRecorder. Use when adding/updating any provider adapter tests (text, streaming, structured outputs, tool calls), when payload formats change, or when debugging agent loop mismatches by inspecting recorded JSON/SSE payloads.
SwiftedMind
data-ai
data-analysis
177
sessiondashboard
Generate an interactive HTML dashboard of Claude Code session analytics
kagenti
data-ai