Results for “channel-evaluation”
11 skillschannel-name-parsing
Multi-format channel name parsing for KINTSUGI CHANNELNAMES.txt files
3
coverage-analysis
Analyzes .NET project code coverage and CRAP (Change Risk Anti-Patterns) scores to identify risk hotspots, methods blocking coverage gains, and prioritize where to add tests.
4k · bundle
channel-entry-strategy
当在个人发展的某个领域(心智、身体、精神、职业)达到“失调阶段”(即对现状感到厌倦、停滞或不满,但尚未麻木)时,用于主动进入一个能加速学习和成长的“心流”或“痴迷”状态(即“渠道”)
11 · bundle
uv-mapping
Inspect, generate, transform, and visualize UV channels on StaticMesh assets (UVMappingService). Use when the user asks to check/add/remove UV channels, auto-unwrap UVs, transform (tile/offset/rotate) UVs, check UV health/islands, or export a UV layout image.
605 · bundle
e1
E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include qualitative analysis (thematic, grounded theory, content, narrative) Absorbed E4 (Analysis Code Generator) and E5 (Sensitivity Analysis - Primary Study) capabilities Use when: selecting statistical/qualitative methods, interpreting results, checking assumptions, generating code, sensitivity analysis Triggers: statistical analysis, ANOVA, regression, t-test, power analysis, assumption checking, effect size, thematic analysis, grounded theory, content analysis, narrative analysis, NVivo, ATLAS.ti, coding, qualitative data, R code, Python code, SPSS syntax, sensitivity analysis, robustness check
1k
alphago-deep-rl
Strategic patterns for solving intractable problems through cascading approximation, self-improvement, and heterogeneous evaluation from DeepMind's AlphaGo system
10 · bundle
channel-message-flows
Use when running QA Lab channel message flow evidence.
0
enet
ENet reliable UDP skill for channels and packet fragmentation.
1.7k · bundle
drama-evaluator
依据竖屏短剧评估标准,从核心爽点、故事类型等维度评估打分。适用于评估故事改编为竖屏短剧的潜力、分析市场竞争力
349 · bundle
llava-critic-learning-to-evaluate-multimodal-models-arxiv-24
LLaVA-Critic: Learning to Evaluate Multimodal Models
6
basic-caching-evaluation
Evaluation of BaSiC illumination correction caching - NOT RECOMMENDED for sparse markers. Trigger: optimizing BaSiC, caching illumination correction
3