Planning, sales, accounting, legal, and project management (3.7K skills)
Find prospective customers or partners that match your product, market, and customer criteria. Get a prioritized company list with reasons for fit, relevant decision-maker roles, and tailored suggestions for starting a sales conversation.
Generate domain name ideas based on a project's purpose and audience, then check availability across endings such as .com, .ai, and .dev. Receive alternative names and explanations to help compare suitable options.
Analyze meeting transcripts to understand speaking habits, interruptions, conflict avoidance, and listening patterns. Get concrete examples and practical suggestions, then compare meetings over time to review changes in communication and facilitation.
Turn a job description and career history into a tailored resume that emphasizes relevant experience, skills, and achievements. Get clear formatting, keywords suited to applicant tracking systems, and suggestions for addressing gaps in the application.
Organize invoices and receipts by extracting dates, vendors, amounts, and descriptions from PDFs and images. Create consistent filenames, sort copies into folders, and produce a CSV summary for accounting, expense tracking, or tax preparation.
Connect work from multiple AI agents to GitHub Projects. Synchronize task cards and statuses, assign work based on expertise and workload, and generate progress reports so teams can track assignments, priorities, and blockers on shared boards.
Turn complex requests into actionable plans with smaller tasks, dependencies, assigned agents, and time estimates. The skill identifies work that controls the completion date, outlines risks and contingencies, and defines measurable success criteria.
Manage payment permissions for AI agents with spending caps, expiration dates, and merchant rules. Use cryptographic signatures to verify authorization, coordinate approval from multiple agents for high-value purchases, and track or revoke payment permissions.
Turn complex goals into actionable plans by mapping dependencies, prioritizing tasks, and allocating time, budget, and people. Supports coordination across multiple agents and revises plans when progress or constraints change.
Create and organize GitHub issues with templates, labels, assignees, and milestones. Coordinate multiple agents to track progress, post updates, and manage related issues across repositories as part of a shared project workflow.
Manage credits and billing in Flow Nexus by checking balances and usage history, creating payment links, configuring automatic refills, and changing subscription tiers. Analyze spending patterns to support budget decisions and choose plans suited to usage.
Review portfolio holdings and prepare a proposed rebalancing plan from target weights. Explains that neural-trader 2.8.11 only returns equal weights, directs actual optimization to a separate skill, and does not place trades.
Scan selected market symbols for unusual price movements and rank potential trading signals. Combine anomaly scores, measures of departure from normal behavior, with strategy filters, historical pattern matches, and predictions about changing market conditions.
Assess investment risk from supplied daily returns, summarize potential losses and drawdowns, estimate position sizes from backtest results, and review trading halt conditions. Save the assessment for later reference, with assumptions clearly stated.
Review an AI team's recorded progress, blockers, task ownership, and budget usage. This read-only skill separates recorded claims from verified evidence and highlights the next decision the user needs to make.
Retrieve a single snapshot of recorded AI costs, including total spending, model breakdowns, the highest-cost session, and budget usage. Export JSON for scripts and dashboards, or Markdown for a quick review.
Review an AI team's work against its acceptance criteria using collected evidence. Match requirements to task results or artifacts, distinguish verified facts from agent claims, and identify uncertainty or missing work before recommending completion.
Organize an AI team's work into small tasks with one owner and one deliverable each. Record dependencies, check for duplicate tasks, and update progress so the team's recorded task state stays clear.
Analyze Claude Code and Codex usage logs to identify spending drivers, including cache usage, model choices, reasoning, and long sessions. Receive evidence-backed recommendations and hypothetical savings estimates to help decide which changes to try.
Estimate future spending from recent usage costs, with projections for 7, 30, 90, and 365 days. When a budget is configured, see how many days remain before spending reaches key budget thresholds.
Plan an AI team around a goal, defining roles, deliverables, and a recorded unit budget. After approval, it creates team, run, and task records in RuFlo AI Team; it does not execute the work.
Review estimated spending, token usage, and cache hit ratios across Claude Code, Codex, and Grok using local logs. Filter by time, project, or provider, while keeping currencies separate and identifying models without pricing.
Dry-run one cycle of a sales agent workflow without calling language models. Validate the template and agent types, check budget reservations, generate agent prompts, and record a structured status summary for downstream automation.
Organize GitHub issues, synchronize project boards, and plan sprints, or short work cycles. Coordinate multiple AI agents to break issues into tasks, assign work, update progress, and track dependencies across a project.