skills.homescapability registry تلاش

home/categories/data-analysis

category focus

Data Analysis

Statistical analysis and data visualization.

1490 اسکلزall categories

sorting

stars

current ordering strategy

query

all entries

refine the visible subset

data-analysis

72

table-setup

Create and configure Clay tables, choose column types, import data, and set up auto-update. Use when the user asks about creating a Clay table, choosing column types, importing data (CSV, CRM, LinkedIn), setting up views and filters, configuring auto-update, using the Chrome extension, or organizing workbooks. Triggers on "create table", "table setup", "column types", "data import", "auto-update", "Clay table", "workbook", "views", "filters", "CSV import", "Chrome extension", "Clip to Clay". Do NOT use for enrichment-specific questions, scoring, or formula writing.

sachacoldiq

data-ai

data-analysis

72

scoring

Build lead scoring systems in Clay using formulas and enrichment data. Use when the user asks about lead scoring, ICP fit scoring, segmentation, lead qualification, tier assignment, prioritizing leads, or building a 100-point scoring model. Triggers on "lead scoring", "scoring system", "ICP fit", "segmentation", "lead qualification", "tier assignment", "prioritize leads", "score leads", "qualify leads", "lead score". Do NOT use for enrichment setup, email finding, or general data manipulation without scoring context.

sachacoldiq

data-ai

data-analysis

70

data-viz

Data visualization for charts and graphs. Use when user needs "画图/图表/可视化". Creates static PNG or interactive HTML charts from data.

JinFanZheng

data-ai

data-analysis

70

toon-formatter

Token-Oriented Object Notation (TOON) format expert for 30-60% token savings on structured data. Auto-applies to arrays with 5+ items, tables, logs, API responses, database results. Supports tabular, inline, and expanded formats with comma/tab/pipe delimiters. Triggers on large JSON, data optimization, token reduction, structured data, arrays, tables, logs, metrics, TOON.

raintree-technology

data-ai

data-analysis

70

toon-formatter

AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inline, tabular, expanded), 3 delimiters (comma, tab, pipe), key folding for nested objects. Triggers on structured data, arrays, repeated patterns. Use TOON by default when tokens matter - RAG pipelines, tool calls, agents, benchmarks. Keywords "data", "array", "list", "table", "log", "transaction", "metric", "analytics", "API", "database", "query", "TOON".

raintree-technology

data-ai

data-analysis

69

user-research-techniques

User research methods including interviews, usability testing, surveys, and analytics. Use when planning user research, choosing a research method, gathering user insights, or validating assumptions with data. Trigger on: 'plan user research', 'which research method should I use', 'how do I talk to users', 'conduct user research', 'how many participants do I need'.

slgoodrich

data-ai

data-analysis

69

visualization-choice-reporting

Use when you need to choose the right visualization for your data and question, then create a narrated report that highlights insights and recommends actions. Invoke when analyzing data for patterns (trends, comparisons, distributions, relationships, compositions), building dashboards or reports, presenting metrics to stakeholders, monitoring KPIs, exploring datasets for insights, communicating findings from analysis, or when user mentions "visualize this", "what chart should I use", "create a dashboard", "analyze this data", "show trends", "compare these metrics", "report on", "what does this data tell us", or needs to turn data into actionable insights. Apply to business analytics (revenue, growth, churn, funnel, cohort, segmentation), product metrics (usage, adoption, retention, feature performance, A/B tests), marketing analytics (campaign ROI, attribution, funnel, customer acquisition), financial reporting (P&L, budget, forecast, variance), operational metrics (uptime, performance, capacity, SLA), sales

lyndonkl

data-ai

data-analysis

69

scout-mindset-bias-check

Use to detect and remove cognitive biases from reasoning. Invoke when prediction feels emotional, stuck at 50/50, or when you want to validate forecasting process. Use when user mentions scout mindset, soldier mindset, bias check, reversal test, scope sensitivity, or cognitive distortions.

lyndonkl

data-ai

data-analysis

69

metrics-tree

Use when setting product North Star metrics, decomposing high-level business metrics into actionable sub-metrics and leading indicators, mapping strategy to measurable outcomes, identifying which metrics to move through experimentation, understanding causal relationships between metrics (leading vs lagging), prioritizing metric improvement opportunities, or when user mentions metric tree, metric decomposition, North Star metric, leading indicators, KPI breakdown, metric drivers, or how metrics connect.

lyndonkl

data-ai

data-analysis

69

d3-visualization

Use when creating custom, interactive data visualizations with D3.js—building bar/line/scatter charts from scratch, creating network diagrams or geographic maps, binding changing data to visual elements, adding zoom/pan/brush interactions, animating chart transitions, or when chart libraries (Highcharts, Chart.js) don't support your specific visualization design and you need low-level control over data-driven DOM manipulation, scales, shapes, and layouts.

lyndonkl

data-ai

data-analysis

69

proof-skeleton-generator

Generate structured proof skeletons with tactics, strategies, and intermediate lemmas for theorems in Isabelle/HOL or Coq. Use when users need to: (1) Create proof outlines for theorem statements, (2) Generate proof structure with tactic placeholders, (3) Identify key lemmas needed for a proof, (4) Plan proof strategies (induction, case analysis, forward/backward reasoning), (5) Scaffold proofs with intermediate steps and subgoals, or (6) Convert theorem statements into detailed proof templates. Supports both Isabelle/HOL and Coq equally.

ArabelaTso

data-ai

data-analysis

69

ma-manuscript-quarto

Draft and render a meta-analysis manuscript with Quarto using an IMRaD structure and embedded figures/tables. Use when preparing the final paper from analysis outputs.

htlin222

data-ai

data-analysis

69

ma-meta-analysis

Run statistical meta-analysis in R with renv, generate effect estimates, heterogeneity, and publication bias diagnostics, and export figures and tables. Use when analyzing extracted study data.

htlin222

data-ai

data-analysis

68

distill-memory

Recognize breakthrough moments, blocking resolutions, and design decisions worth preserving. Detect high-value insights that save future time. Suggest distillation at valuable moments, not routine work.

nowledge-co

data-ai

data-analysis

68

bmssummarise-diary

Summarize diary entries for a given time period

benmatselby

data-ai

data-analysis

66

ainl

Deterministic compiled graphs for Hermes Agent (importer, runtime, MCP tools, learning-loop bridge)

sbhooley

data-ai

data-analysis

66

ainl

Deterministic compiled graphs for OpenClaw (importer, runtime, MCP tools)

sbhooley

data-ai

data-analysis

66

ainl

Deterministic compiled graphs for ZeroClaw (importer, runtime, MCP tools)

sbhooley

data-ai

data-analysis

66

volleyball-data

Dutch volleyball data (Eredivisie, Topdivisie, Superdivisie, and the full Dutch pyramid) via the Nevobo API. Standings, schedules, results, clubs, tournaments, and news. Zero config, no API keys. Use when: user asks about Dutch volleyball, Eredivisie volleyball, Nevobo, volleyball standings, volleyball match results, volleyball schedules, or Dutch volleyball clubs. Don't use when: user asks about other sports — use football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), golf-data (golf), cfb-data (college football), cbb-data (college basketball), tennis-data (tennis), or fastf1 (F1). For betting odds use polymarket or kalshi. For general news use sports-news.

machina-sports

data-ai

data-analysis

65

synthesize

Synthesize findings from multiple sources into coherent conclusions with uncertainty quantification.

poemswe

data-ai

data-analysis

65

research-synthesis

You must use this when merging findings from multiple studies into a coherent narrative with grounded evidence.

poemswe

data-ai

data-analysis

65

sequential-think

Multi-step reasoning engine for complex analysis and systematic problem solving. Use when: (1) Complex debugging scenarios with multiple layers, (2) Architectural analysis and system design, (3) Problems requiring hypothesis testing and validation, (4) Multi-component failure investigation, (5) Performance bottleneck identification. Triggers: "--think", "--think-hard", "--ultrathink", "analyze step by step", "break down this problem", "systematic analysis". IMPORTANT: Do NOT use for simple single-step tasks.

Dianel555

data-ai

data-analysis

62

research-ideation

Generate structured research questions, testable hypotheses, and empirical strategies from a topic or dataset

maxwell2732

data-ai

data-analysis

61

diagram-reports-generator

This skill generates comprehensive diagram and MicroSim reports for the geometry course by analyzing chapter markdown files and creating table and detail reports. Use this skill when working with an intelligent textbook (specifically geometry-course) that needs updated visualization of all diagrams and MicroSims across chapters, including their status, difficulty, Bloom's Taxonomy levels, and UI complexity.

dmccreary

data-ai

Page 39 / 63