Back to categories
Category

Agent Skills in category: Uncategorized

72244 skills match this category. Browse curated collections and explore related Agent Skills.

definition.story_map

Generate a structured user story map to visualize workflows, user goals, and release slices.

edwardmonteiro
edwardmonteiro
0

definition.tech_spike

Scope and prioritize technical spikes that de-risk architecture or implementation questions.

edwardmonteiro
edwardmonteiro
0

definition.test_strategy

Define the holistic testing approach across functional, non-functional, and automation layers for the initiative.

edwardmonteiro
edwardmonteiro
0

definition.value_proposition

Shape the value proposition narrative tying customer needs, solution benefits, and proof points together.

edwardmonteiro
edwardmonteiro
0

delivery.dashboard_brief

Align analysts and designers on the goals, requirements, and storytelling approach for a new or updated dashboard.

edwardmonteiro
edwardmonteiro
0

delivery.design_review

Facilitate a cross-functional design review capturing decisions, feedback, and implementation guidance.

edwardmonteiro
edwardmonteiro
0

delivery.release_notes

Generate structured release notes tailored to the specified audience and highlighting value, rollout, and risks.

edwardmonteiro
edwardmonteiro
0

delivery.roadmap

Create a delivery roadmap that translates strategy into sequenced releases with milestones and dependencies.

edwardmonteiro
edwardmonteiro
0

delivery.tech_spec

Produce an implementation-ready technical specification with architecture, sequencing, and validation details.

edwardmonteiro
edwardmonteiro
0

delivery.test_plan

Generate a detailed test plan covering scenarios, environments, data, and reporting for the release.

edwardmonteiro
edwardmonteiro
0

discovery.data_audit

Inventory available datasets, instrumentation gaps, and data quality considerations for the initiative.

edwardmonteiro
edwardmonteiro
0

discovery.market_scan

Analyze the competitive and adjacent solution landscape to surface differentiation opportunities.

edwardmonteiro
edwardmonteiro
0

discovery.problem_framing

Frame the core customer problem, evidence, and success hypothesis before solutioning.

edwardmonteiro
edwardmonteiro
0

discovery.risk_assessment

Identify potential quality, security, and delivery risks early in discovery to inform mitigation planning.

edwardmonteiro
edwardmonteiro
0

discovery.tech_landscape

Assess technical patterns, integrations, and constraints in the domain to inform feasibility and strategy.

edwardmonteiro
edwardmonteiro
0

discovery.user_research

Plan and structure moderated or unmoderated user research sessions that target the given persona and objectives.

edwardmonteiro
edwardmonteiro
0

optimization.experiment_analysis

Analyze completed experiments and craft executive-ready summaries with insights and recommendations.

edwardmonteiro
edwardmonteiro
0

optimization.experiment_brief

Prepare an experiment brief outlining hypothesis, design, success metrics, and operational plan.

edwardmonteiro
edwardmonteiro
0

optimization.metric_review

Conduct a metric review that contextualizes performance trends, flags anomalies, and recommends actions.

edwardmonteiro
edwardmonteiro
0

optimization.postmortem

Produce a post-incident analysis capturing timeline, root causes, impact, and corrective actions.

edwardmonteiro
edwardmonteiro
0

optimization.quality_report

Compile a recurring quality report that synthesizes defect trends, automation health, and recommendations.

edwardmonteiro
edwardmonteiro
0

optimization.retrospective

Facilitate a sprint or release retrospective focusing on insights, actions, and ownership.

edwardmonteiro
edwardmonteiro
0

pyx

Safe Python code execution using pyx CLI. Use when: running Python, executing scripts, testing code. Triggers: pyx, run python, execute code, test script. Default mode: MANIFEST_IO (file-first with manifest output).

Anudorannador
Anudorannador
0

setup-react-app-config

Set up configuratin files for the React project (Biome, Shadcn/UI)

yuheitomi
yuheitomi
0

developer-growth-analysis

Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, generating a personalized growth report with actionable recommendations.

Jst-Well-Dan
Jst-Well-Dan
74

mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Jst-Well-Dan
Jst-Well-Dan
74

skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Jst-Well-Dan
Jst-Well-Dan
74

skill-seekers

Generate AI skills (SKILL.md) from documentation websites, GitHub repositories, PDF files, or local codebases using the Skill Seekers CLI. Use when the user wants to create a new AI skill from external documentation, analyze a GitHub repo into a skill, convert a PDF into structured AI knowledge, or package skills for Claude, Gemini, or OpenAI.

Jst-Well-Dan
Jst-Well-Dan
74

alpha-vantage

Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.

Jst-Well-Dan
Jst-Well-Dan
74

csv-data-summarizer

Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

Jst-Well-Dan
Jst-Well-Dan
74

edgartools

Python library for accessing, analyzing, and extracting data from SEC EDGAR filings. Use when working with SEC filings, financial statements (income statement, balance sheet, cash flow), XBRL financial data, insider trading (Form 4), institutional holdings (13F), company financials, annual/quarterly reports (10-K, 10-Q), proxy statements (DEF 14A), 8-K current events, company screening by ticker/CIK/industry, multi-period financial analysis, or any SEC regulatory filings.

Jst-Well-Dan
Jst-Well-Dan
74

excel-dcf-modeler

|

Jst-Well-Dan
Jst-Well-Dan
74

excel-lbo-modeler

|

Jst-Well-Dan
Jst-Well-Dan
74

excel-pivot-wizard

|

Jst-Well-Dan
Jst-Well-Dan
74

excel-variance-analyzer

|

Jst-Well-Dan
Jst-Well-Dan
74

geopandas

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.

Jst-Well-Dan
Jst-Well-Dan
74

hedgefundmonitor

Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management. No API key or registration required. Use when working with hedge fund data, systemic risk monitoring, financial stability research, hedge fund leverage or leverage ratios, counterparty concentration, Form PF statistics, repo market data, or OFR financial research data.

Jst-Well-Dan
Jst-Well-Dan
74

invoice-processor

Automatically process invoices (发票) from PDFs/images to Excel spreadsheets using AI vision recognition. Use this skill when users mention "发票", "invoice", "处理发票", "识别发票", "提取发票", or need to convert invoice files to Excel format.

Jst-Well-Dan
Jst-Well-Dan
74

matplotlib

Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.

Jst-Well-Dan
Jst-Well-Dan
74

networkx

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.

Jst-Well-Dan
Jst-Well-Dan
74

plotly

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

Jst-Well-Dan
Jst-Well-Dan
74

scientific-visualization

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.

Jst-Well-Dan
Jst-Well-Dan
74

seaborn

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.

Jst-Well-Dan
Jst-Well-Dan
74

statistical-analysis

Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For implementing specific models programmatically use statsmodels.

Jst-Well-Dan
Jst-Well-Dan
74

sympy

Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.

Jst-Well-Dan
Jst-Well-Dan
74

usfiscaldata

Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.

Jst-Well-Dan
Jst-Well-Dan
74

advanced-video-downloader

Download and transcribe videos from YouTube, Bilibili, TikTok and 1000+ platforms. Use when user requests video download, transcription (转录/字幕提取), or converting video to text/markdown. Supports quality selection, audio extraction, playlist downloads, cookie-based authentication, and AI-powered transcription via SiliconFlow API (免费转录).

Jst-Well-Dan
Jst-Well-Dan
74

baoyu-article-illustrator

Analyzes article structure, identifies positions requiring visual aids, generates illustrations with Type × Style two-dimension approach. Use when user asks to "illustrate article", "add images", "generate images for article", or "为文章配图".

Jst-Well-Dan
Jst-Well-Dan
74

baoyu-comic

Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".

Jst-Well-Dan
Jst-Well-Dan
74

baoyu-compress-image

Compresses images to WebP (default) or PNG with automatic tool selection. Use when user asks to "compress image", "optimize image", "convert to webp", or reduce image file size.

Jst-Well-Dan
Jst-Well-Dan
74

Page 1006 of 1445 · 72244 results