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Found 204 Skills
Use when running an annual SaaS audit, doing category-level spend review, or rationalizing the supplier base — when the user needs to do a spend audit, spend categorization (UNSPSC-aligned), purchasing-cycle analysis, or risk-balanced supplier consolidation. Triggers on "spend audit", "SaaS audit", "spend categorization", "supplier rationalization", "supplier consolidation", "purchasing cycle", "procurement review", "category strategy", "duplicate SaaS", "renewal cluster". Ships 3 stdlib-only Python tools (UNSPSC-aligned spend categorizer with Pareto breakdown and industry profiles, purchasing-cycle analyzer that surfaces bottleneck categories per Goldratt's Theory of Constraints, supplier-consolidation planner that refuses single-source recommendations for tier-1 categories without a documented break-glass plan), 3 reference docs each citing 7+ authoritative sources (A.T. Kearney / Hackett / Spend Matters / UNSPSC / Productiv / Vendr / Tropic / IACCM / ISM / BCG), and a 20-minute spend-intake template. Distinct from sibling vendor-management (performance scoring of vendors you keep paying), finance/financial-analysis (close + report, not category strategy), and c-level-advisor/general-counsel-advisor (contract law, not category rationalization).
Build 3D objects, props, maps, and environments in Roblox Studio via MCP. CSG patterns, spatial coordination, player scale reference, platform quirks. Use when the AI is placing parts, doing unions/subtracts, or building geometry.
Help founders close their first customers and build repeatable sales processes. Use when someone is doing founder-led sales, trying to get their first customers, writing cold outreach, running early sales calls, or asking when to hire their first salesperson.
Expert guidance for working with Dagster and the dg CLI. ALWAYS use before doing any task that requires knowledge specific to Dagster, or that references assets, materialization, or data pipelines. Common tasks may include creating a new project, adding new definitions, understanding the current project structure, answering general questions about the codebase (finding asset, schedule, sensor, component or job definitions), debugging issues, or providing deep information about a specific Dagster concept.
Summarize the last N agent sessions for the current project, grouped by date. Use when the user asks "recap", "what have we been doing", "this week", "today", or wants a rollup of recent work.
Python design patterns for CLI scripts and utilities — type-first development, deep modules, complexity management, and red flags. Use when reading, writing, reviewing, or refactoring Python files, especially in .trellis/scripts/ or any CLI/scripting context. Also activate when planning module structure, deciding where to put new code, or doing code review.
Perform cross-source validation on academic literature entry by entry, compare fields including authors, titles, years, volumes/issue numbers, and page numbers, mark issues such as conflicts between volume year and DOI year, abnormal author order, and page number deviations, and output a structured verification report. It supports batch processing of reference lists in entire papers/proposal reports, single-entry verification, and synchronous correction with Zotero.
Automated code review for pull requests using specialized review patterns. Analyzes code for quality, security, performance, and best practices. Use when reviewing code changes, PRs, or doing code audits.
Tutorial patterns for documentation - learning-oriented guides that teach through guided doing
AI-powered deep research using Parallel AI APIs for chat, research reports, entity discovery, and data enrichment. Use this skill when doing web research, competitive analysis, market research, generating research reports, finding companies matching criteria, or enriching existing data. Triggers on research requests, competitive intelligence, finding companies, or data enrichment tasks.
Perform a detailed SWOT analysis — strengths, weaknesses, opportunities, and threats with actionable recommendations. Use when doing strategic assessment, competitive analysis, or evaluating a product or business position.
Use when implementing features from a spec or requirements document, doing multi-phase work, or when you need structured Analyze-Plan-Ask-Execute-Review cycles to prevent ad-hoc coding and ensure spec-aligned, pattern-consistent implementations