Total 50,365 skills, Tools & Utilities has 8193 skills
Showing 12 of 8193 skills
Fetch raw OHLCV price data using the aipa CLI. Use this skill whenever the user asks for price data, candle data, OHLCV data, historical prices, stock quotes, crypto prices, moving averages, volume data, or any raw market data without AI analysis. Also use for: top performers, worst performers, best stocks, top gainers, biggest losers, market movers, ranking tickers by price change / volume / value / MA scores / money flow (`aipa performers`); volume profile, POC, point of control, value area, support/resistance by volume, volume-by-price histogram (`aipa volume-profile`). Also use for fundamental data: company info, financial ratios, PE, PB, ROE, NPL, CAR, fundamental ranking and screening (`aipa fundamentals info/ratios/rank/screen`). Also use when the user wants to inspect what data is available, build charts, perform their own calculations, or get numbers for a spreadsheet. Even if the user doesn't mention "aipa", trigger this skill for any raw financial data, fundamental data, or market ranking request.
9 diagrams & visuals skills. Trigger: creating diagrams, flowcharts, architecture visuals, LaTeX drawings. Design: tool-specific guides (Mermaid, Excalidraw, TikZ) with academic conventions.
Turn Hermes into an autonomous project executor using Kanban boards inside Obsidian vault with visual rendering and REST API control
AI-native terminal emulator & IDE built with Tauri, React, and Rust
Debug Python: pdb REPL + debugpy remote (DAP).
Research what people are actually saying about a topic in the last 30 days across Reddit, X / Twitter, YouTube, Hacker News, dev.to, Medium, and other public discourse platforms. API-free; uses WebSearch with platform-targeted site operators plus recency filters. Produces DISCOURSE.md (a structured brief) and JSON output the writer can consume. Complements blog-researcher (which focuses on authority sources) with a recency-and-engagement lens. Use when user says "blog discourse", "discourse research", "what are people saying about", "research what people are saying", "voice of customer", "social listening", "30-day research", "trend research", "what's the discussion on", "real-time research", "practitioner discourse", "/blog discourse".
Internal sub-skill for job-hunt suite. Performs STAR decomposition of resume and scores JD-resume match across 4 dimensions. Does NOT generate tailoring suggestions (handled by tailor). Do NOT invoke directly — use the job-hunt main skill instead.
Main entry for Job Hunter. Upload screenshots of job detail pages from recruitment platforms (Boss Zhipin, Zhilian Recruitment, 51job, etc.), perform STAR matching analysis with your resume, generate customized resumes and opening remarks, and produce a shortlist sorted by matching degree. Supported subcommands: fetch / analyze / tailor / status / clean.
Cross River integration. Manage data, records, and automate workflows. Use when the user wants to interact with Cross River data.
Design stress-test engine. Does NOT generate designs — it pressure-tests YOUR existing draft against real-world edge cases, code constraints, and failure paths. One sharp question at a time, drilling down the decision tree, using code facts to stress-test assumptions, then outputs a tight Facet Brief. NOT for: executing clear tasks, factual Q&A, or pure brainstorming (go brainstorm first, then come back with a direction). Triggers: "facet / pressure-test this plan / stress-test the design".
Use the `sesh` CLI/TUI to list, find, enter, resume, create, tag, archive, rename, delete, send-to, or inspect coding-agent sessions across machines. Use when the user asks about sesh command usage, the session TUI, entering/resuming a sesh, cross-machine session state, the sesh daemon, or peers.
Extract technical implementation evidence from developed code projects, generate algorithm/software specification-style technical disclosure documents around candidate patent solutions, and use the two-step method of "Claim Layout Card → Invention Patent Draft" to continue generating draft materials for Chinese invention patents that are close to the declarable version. Trigger scenarios include: writing technical disclosure documents after reading code repositories, mapping manually summarized patent solutions to specific implementations, mining patentable technical solutions from code, and preparing claim layouts and invention patent drafts for patent attorneys.