灵感菇

AI 技能的自然生态,你的一句话,蔓延出无限连接。

搜索结果

全部能力

找到 88 个相关结果 / RAG 与知识库

数据与分析 / 分析洞察

devtu-optimize-skills

devtu-optimize-skills

242

Optimize ToolUniverse skills for better report quality, evidence handling, and user experience. Apply patterns like tool verification, foundation data layers,…

Stars 1,353
apiragdevtuoptimize

数据与分析 / 分析洞察

finance-report

finance-report

231

Quarterly / monthly financial report — masthead with KPIs, revenue and burn charts, P&L summary table, top-line highlights, and an outlook paragraph. Use when the brief mentions "financial report", "Q3 report", "MRR review", "P&L", or "财报".

Stars 42,030
designragworkflowfinance

数据与分析 / 分析洞察

data-exploration

data-exploration

230

Profile and explore datasets to understand their shape, quality, and patterns before analysis. Use when encountering a new dataset, assessing data quality,…

Stars 12,211
dataexplorationprofileand

数据与分析 / 分析洞察

sales-operations

sales-operations

229

Expert sales operations covering CRM management, sales analytics, territory planning, compensation design, and process optimization. Use when building pipeline reports, designing territories, setting quotas, creating comp plans, or auditing CRM data quality.

Stars 138
designuiperformanceaudit

数据与分析 / 分析洞察

saas-valuation-compression

saas-valuation-compression

228

Analyze SaaS company valuation compression between funding rounds. Use this skill whenever the user asks about: how much a SaaS company's valuation multiple changed between rounds, why the ARR multiple compressed or expanded, comparing a company's compression to macro benchmarks, or explaining what drove valuation changes for any VC-backed software company. Trigger on phrases like "valuation compression", "ARR multiple", "round-to-round valuation", "multiple change", or when the user asks to compare a company's funding rounds. Always use this skill for any multi-round SaaS valuation analysis — do not try to answer from memory alone.

Stars 0
tailwinddesignuidevops

数据与分析 / 分析洞察

encore-go-database

encore-go-database

217

Database queries and migrations with Encore Go.

Stars 24
apidatabasesqlrag

数据与分析 / 分析洞察

scrum-master

scrum-master

211

Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives,…

Stars 0
uiragpromptworkflow

数据与分析 / 分析洞察

ai-tech-rss-fetch

ai-tech-rss-fetch

202

订阅 AI 和技术类 RSS 订阅源,并使用成熟的 Python 工具(feedparser + sqlite3)将规范化后的元数据持久化存储到 SQLite。在添加订阅源时使用……

Stars 0
databasesqlragagent

数据与分析 / 分析洞察

kaggle

kaggle

185

Unified Kaggle skill. Use when the user mentions kaggle, kaggle.com, Kaggle competitions, datasets, models, notebooks, GPUs, TPUs, hackathons, writeups,…

Stars 33
uiplaywrightapirag

数据与分析 / 分析洞察

people-analytics

people-analytics

154

Expert people analytics covering workforce analytics, HR metrics, predictive modeling, employee insights, and data-driven HR decisions. Use when building turnover prediction models, analyzing engagement surveys, running pay equity regressions, designing people dashboards, scoring flight risk, or advising HR leaders with workforce data.

Stars 138
designuiragagent

数据与分析 / 分析洞察

content-gap-analysis

content-gap-analysis

147

Identify content gaps between your site and competitors. Use when the user says "content gaps", "what am I missing", "competitor content", "content…

Stars 428
auditdatabaseragcontent

数据与分析 / 分析洞察

analytics-engineer

analytics-engineer

147

Expert analytics engineering covering data modeling, dbt development, data transformation, and semantic layer management. Use when building dbt models, designing star schemas, writing staging or mart SQL, configuring data tests, defining semantic-layer metrics, or optimizing warehouse query performance.

Stars 0
designuiperformancesql

数据与分析 / 分析洞察

data-journalism

data-journalism

136

Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating charts and maps, cleaning messy data,…

Stars 206
ragworkflowdatajournalism

数据与分析 / 分析洞察

echarts

echarts

136

Knowledge about pyecharts chart creation, HTML report generation, and visualization best practices

Stars 5
echartsknowledgeaboutpyecharts

数据与分析 / 分析洞察

looker-studio-bigquery

looker-studio-bigquery

122

Route BigQuery-backed Looker Studio work into one stakeholder-reporting packet: dashboard-spec, slow-dashboard triage, refresh-shape choice, audience split, or exec-handoff. Use when the user needs KPI boards, PM/ops reviews, marketing / GTM reporting, product funnel summaries, or game/live-ops telemetry dashboards on top of curated BigQuery data. Route KPI explanation to `data-analysis`, repeated anomaly hunting to `pattern-detection`, telemetry/alerting coverage to `monitoring-observability`, and semantic-platform choice to `survey`.

Stars 14
ragmonitoringlookerstudio

数据与分析 / 分析洞察

code-analyzer

code-analyzer

121

Static code analysis and complexity metrics

Stars 28
ragagentanalyzerstatic

数据与分析 / 分析洞察

sports-reporter

sports-reporter

120

Generates original sports journalism articles by consuming real-time data from the sports-skills skills. Covers game previews, live reports, post-game, team analysis, and player profiles for all supported sports. Use when: the user asks to write, generate, create, or draft an article, preview, report, analysis, summary, or journalistic coverage about games, teams, players, scores, statistics, or sports results. Do not use when: the user only wants raw data without journalistic text — use the sport-specific skill directly (nfl-data, nba-data, football-data, etc.). Do not use when: the user wants to search for news published by third parties — use sports-news.

Stars 102
apiragsportsreporter

数据与分析 / 分析洞察

syncfusion-blazor-popups

syncfusion-blazor-popups

115

Implement modal and modeless dialogs using Syncfusion Blazor Dialog component. Use this skill when creating dialogs, popup windows, modal confirmations, custom…

Stars 1
uiragsyncfusionblazor

数据与分析 / 分析洞察

drizzle-orm

drizzle-orm

115

Expert guide for Drizzle ORM best practices, including schema definitions, queries, mutations, transactions, migrations, and performance optimization. Use when…

Stars 363
uiperformancedatabasesql

数据与分析 / 分析洞察

pattern-detection

pattern-detection

112

Route repeated pattern, rule, and anomaly work into one detection packet before suggesting tools or fixes. Use when the user needs reusable scans, suspicious repeated shapes, grouped outlier candidates, or first-pass anomaly triage across code, logs/events, telemetry, and metric tables. Choose one packet: text-prefilter, structural-code-rule, log-event-pattern, or metric-anomaly. Triggers on: repeated bug, suspicious spike, odd cohort, noisy event, code smell family, rule pack, anti-pattern, outlier, anomaly, fraud signal, or recurring issue. Route root-cause incident work to log-analysis, KPI/business explanation to data-analysis, repo tracing to codebase-search, remediation to specialist skills, and alert/incident operations to monitoring-observability.

Stars 14
designsecurityragprompt

4 / 5