Stock Backtest Analyst
v1.0.4
io.clawhub.taylen/stock-strategy-backtester
Backtest stock trading strategies on historical OHLCV data and report win rate, return, CAGR, drawdown, Sharpe ratio, and trade logs. Use when evaluating or...
“CSV” 共 59 个结果
v1.0.4
io.clawhub.taylen/stock-strategy-backtester
Backtest stock trading strategies on historical OHLCV data and report win rate, return, CAGR, drawdown, Sharpe ratio, and trade logs. Use when evaluating or...
v1.0.0
io.clawhub.tobewin/excel-studio
Professional Excel spreadsheet generator. Use when user needs to create data tables, reports, charts, financial models, or any structured data in Excel forma...
v1.0.0
io.clawhub.camelsprout/duckdb-cli-ai-skills
DuckDB CLI specialist for SQL analysis, data processing and file conversion. Use for SQL queries, CSV/Parquet/JSON analysis, database queries, or data conversion. Triggers on "duckdb", "sql", "query", "data analysis", "parquet", "convert data".
v1.0.2
io.clawhub.shhdwi/docstrange
Document extraction API by Nanonets. Convert PDFs and images to markdown, JSON, or CSV with confidence scoring. Use when you need to OCR documents, extract invoice fields, parse receipts, or convert tables to structured data.
v1.0.2
io.clawhub.anmu14641/simple-excel
简单的 Excel 文件处理工具。用于读取、创建、编辑 .xlsx 和 .csv 文件,适合基本的数据操作任务,如读取数据、简单计算、生成表格等。
v1.0.1
io.clawhub.tonydesign1999/excel-xlsx-1
Create, inspect, and edit Microsoft Excel workbooks and XLSX files with reliable formulas, dates, types, formatting, recalculation, and template preservation...
v1.1.1
io.clawhub.c-goro/agentledger
Expense tracking and accounting for AI agents. Log purchases, set budgets, generate spending reports, and manage multi-currency finances — all stored locally. Privacy.com card import, natural language queries, CSV/JSON export. Use when agents make purchases and need a financial audit trail.
v1.0.1
io.clawhub.crimsondevil333333/sheetsmith
Pandas-powered CSV & Excel management for quick previews, summaries, filtering, transforming, and format conversions. Use this skill whenever you need to inspect spreadsheet files, compute column-level summaries, apply queries or expressions, or export cleansed data to a new CSV/TSV/XLSX output without rewriting pandas every time.
v1.0.0
io.clawhub.benzema216/trading-coach
🏆 AI交易复盘教练 — 把你的券商CSV变成可执行的改进洞察! 自动FIFO配对持仓,8维度质量评分(入场/出场/趋势/风险...),10维度AI洞察。 支持富途(中/英)、老虎、中信、华泰等主流券商。 触发条件: 用户提供交易CSV、要求分析交易表现、评估交易质量、生成复盘报告、 计算盈亏统计、识别交易模式问题、"帮我复盘"、"分析我的交易"。
v1.4.0
io.clawhub.atyachin/social-sentiment
Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. Monitor public opinion, track brand reputation, detect PR crises, surface complaints and praise at scale — analyze 70K+ posts with bulk CSV export and Python/pandas. Social listening and brand monitoring powered by 1.5B+ indexed posts.
v1.0.2
io.clawhub.ivangdavila/crm
Runs a CRM: contacts, companies, deals, pipeline stages, follow-ups, and the data hygiene that keeps it usable. Use when setting up, rescuing, or operating a CRM (personal, freelance, sales, donor, or job-search); when the pipeline needs review, a deal has gone quiet, a forecast has to be defended, or who has not been contacted in months; when contacts are duplicated, bouncing, or out of date; when importing/exporting a CSV of leads, or migrating between plain files, Notion, HubSpot, or Salesforce; when choosing which CRM to use, or why nobody updates the current one; when defining stages, fields, tags, lead scoring, or win/loss reasons; when logging a call or email for later; and when a deletion, unsubscribe, or do-not-contact request has to be honored. Not for address-book upkeep and birthdays (`people`), delivering the client work itself (`clients`), outreach campaigns (`outreach`), sourcing candidates (`recruiter`), or support tickets (`customer-support`).
v1.0.0
io.clawhub.tevfikgulep/instagram-analyzer
Analyze Instagram profiles and posts with detailed engagement metrics, view tracking, follower ratios, and Reels-focused analytics with JSON/CSV export.
v1.0.2
io.clawhub.ivangdavila/json
Parses, validates, transforms, and designs JSON payloads that survive real parsers, real clients, and real data sizes. Use when a parse fails at a byte offset or on a trailing comma, an id or an amount loses precision, accents and emoji come back as mojibake, a field is null when it should be absent, duplicate keys silently win, a JSON Schema passes what it should reject or a `$ref` will not resolve, a multi-gigabyte file will not fit in memory, a jq, JMESPath, or JSONPath expression returns nothing, two documents must be diffed or patched, a webhook signature fails after the body was re-serialized, untrusted input must be parsed safely, or a response shape has to change without breaking existing clients. Covers NDJSON, JSON Patch, canonical form, JSON columns in SQL, and JSON5/JSONC config files. Not for constraining LLM output (`structured-output`), for YAML, TOML, XML, or CSV (their own skills), or for designing REST endpoints (`rest-api`).
v1.0.0
io.clawhub.arthasking123/ai-data-analysis
Automates CSV/Excel data cleaning, statistical analysis, trend detection, anomaly identification, visualization, and report generation.
v0.0.1
io.clawhub.sdk-team/alibabacloud-migration-mas-cloud-migration-survey
当用户提供迁云调研材料(Excel/Word/文本/CSV文件)并要求生成结构化调研报告时,自动分析汇总并输出 .docx 文档。涵盖客户画像、架构现状、云产品映射、版本兼容性风险、迁移风险、待确认事项。支持 AWS/Azure/GCP/华为云/腾讯云/百度云/IDC 到阿里云的迁移评估。适用于阿里云迁云项目售前...
v1.0.4
io.clawhub.ivangdavila/sql
Writes, reviews, and optimizes SQL queries; designs schemas, indexes, and constraints; plans migrations for any relational database. Use when a query is slow, EXPLAIN shows a sequential scan, or an index is ignored; when rows come back duplicated, missing, or with inflated totals after a JOIN; on deadlocks, lock timeouts, "too many connections", or transactions that never commit; when designing tables, keys, and column types, normalizing or denormalizing a model, or deciding between a JSON column and real columns; for ALTER TABLE on a live table, expand-migrate-contract rollouts, backups and restores, replication lag, connection pooling, partitioning, bulk CSV imports, and moving data between engines; for window functions, CTEs, keyset pagination, upserts, full-text search, multi-tenancy, row-level security, and timezone handling in MySQL, SQLite, MariaDB, or SQL Server. Not for PostgreSQL server internals such as vacuum tuning and work_mem sizing, and not for ORM schema modeling inside a framework.
vmain
io.github.docling-project/docling/docling
Use Docling to understand the content of documents in any supported format — PDF (born-digital or scanned), DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, audio, and XML — by converting them into a unified DoclingDocument (Markdown or structured JSON). Use this skill whenever you need to read, parse, convert, extract, or chunk a document you cannot read directly: "what's in this PDF", "convert this to markdown", "extract the tables", "chunk this for RAG", "read this scanned document", "parse this DOCX/PPTX". Covers the `docling` CLI, the Python SDK (DocumentConverter + PipelineOptions), the remote Service Client (self-hosted or managed docling-serve), and the docling-slim install extras for a minimal dependency footprint.
vdev
io.github.code-yeongyu/oh-my-openagent/data-scientist
Expert data processing with a hybrid engine strategy: resident-kernel engines first - DuckDB plus a resident Python stack (Polars/numpy/matplotlib) in persistent js/py eval kernels where the harness has them, bun/uv one-shots elsewhere - and per-action placement judgment (in-memory vs streaming vs remote-in-place). Triggers: 'analyze the data', 'what is in this CSV/parquet/json', 'summarize this', 'group by', 'filter rows', 'sort by', 'join these files', 'merge datasets', 'time series trend', 'compare yesterday and today', 'distribution/histogram', 'correlation', 'clean duplicates', 'handle missing values', 'dataset larger than RAM', 'SQL query on files', 'DataFrame operations', 'chart/plot this data', DuckDB vs Polars selection, quick data exploration CLI. NOT for plain text/code inspection, configs, or tiny inline math.
vmain
io.github.github/awesome-copilot/geofeed-tuner
Use this skill whenever the user mentions IP geolocation feeds, RFC 8805, geofeeds, or wants help creating, tuning, validating, or publishing a self-published IP geolocation feed in CSV format. Intended user audience is a network operator, ISP, mobile carrier, cloud provider, hosting company, IXP, or satellite provider asking about IP geolocation accuracy, or geofeed authoring best practices. Helps create, refine, and improve CSV-format IP geolocation feeds with opinionated recommendations beyond RFC 8805 compliance. Do NOT use for private or internal IP address management — applies only to publicly routable IP addresses.
vmain
io.github.microsoft/skills-for-fabric/sqldw-consumption-cli
Execute read-only T-SQL queries against Fabric Data Warehouse, Lakehouse SQL Endpoints, and Mirrored Databases via CLI. Default skill for any lakehouse data query (row counts, SELECT, filtering, aggregation) unless the user explicitly requests PySpark or Spark DataFrames. Use when the user wants to: (1) query warehouse/lakehouse data, (2) count rows or explore lakehouse tables, (3) discover schemas/columns, (4) generate T-SQL scripts, (5) monitor SQL performance, (6) export results to CSV/JSON. For a Fabric notebook cell (%%sql or other notebook magics), use `spark-authoring-cli`, not this skill. Triggers: "warehouse", "SQL query", "T-SQL", "query warehouse", "show warehouse tables", "show lakehouse tables", "query lakehouse", "lakehouse table", "how many rows", "count rows", "SQL endpoint", "describe warehouse schema", "generate T-SQL script", "warehouse performance", "export SQL data", "connect to warehouse", "lakehouse data", "explore lakehouse".
vmain
io.github.microclaw/microclaw/sql
Write, run, and explain SQL queries, and do quick local analysis of CSV/SQLite data with the sqlite3 CLI. Use when users want a SQL query written or fixed, want to query a .db/.sqlite file, or want to analyze a CSV with SQL (joins, group by, window functions). Triggers on mentions of SQL, query, SELECT, JOIN, GROUP BY, sqlite, database table, 查询, 数据库, 写个 sql, 联表, 分组.
vmain
io.github.aipoch/medical-research-skills/pdf-extract-experimental-materials
Extract experimental materials and instrument information from PDFs (or PDF-derived text/Markdown) into three CSV tables; use when a paper/report contains sections like Materials and Methods, Key Resources Table, Reagents, Antibodies, Consumables, Software, Equipment, Instruments, or Reagent Preparation.
vmain
io.github.LeoYeAI/openclaw-master-skills/pdf-convert-compdf
PDF conversion toolkit featuring AI layout analysis and OCR. Converts PDFs to Word, Markdown, JSON, PPT, CSV, HTML, and XML for seamless LLM data processing.
vmain
io.github.bytedance/deer-flow/data-analysis
Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.