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Found 1,944 Skills
Complete unit testing skill for TypeScript/NestJS projects using Jest, @golevelup/ts-jest, and in-memory databases. ALWAYS use this skill when user needs to: **SETUP** - Initialize or configure unit testing: - Set up Jest for a new project - Configure test infrastructure (jest.config.ts) - Install testing dependencies (@nestjs/testing, @golevelup/ts-jest) - Create mock helpers or test utilities - Set up coverage configuration **WRITE** - Create or add unit tests: - Write, create, add, or generate unit tests - Test a service, usecase, controller, guard, interceptor, pipe, or filter - Add tests for new code or features - Improve test coverage or add missing tests - Mock dependencies or set up test fixtures - Working on any file ending in .spec.ts **REVIEW** - Audit or evaluate unit tests: - Review existing tests for quality - Check test coverage and gaps - Audit testing patterns and conventions - Evaluate assertion quality **RUN** - Execute or analyze test results: - Run unit tests - Analyze test results or coverage reports - Understand test failures or successes - Check which tests are passing/failing **DEBUG** - Fix failing or broken tests: - Fix failing unit tests - Debug test errors or exceptions - Resolve mock issues or setup problems - Troubleshoot test timeouts or flaky tests - Diagnose "undefined" or unexpected results **OPTIMIZE** - Improve test performance and maintainability: - Speed up slow tests - Fix open handles preventing clean exit - Improve test organization - Reduce test execution time - Clean up test code Keywords: unit test, spec, jest, typescript, nestjs, mock, DeepMocked, createMock, AAA, test coverage, TDD, .spec.ts, testing, write test, add test, create test, fix test, debug test, run test, review test, optimize test, test setup, jest config
Semantic versioning guidelines for software releases. Use when assigning version numbers, deciding between major/minor/patch bumps, managing unstable (0.x.x) software versions, evaluating breaking changes, or reviewing changelogs and release notes for correct semver compliance.
Analyze agent skills for security risks, malicious patterns, and potential dangers before installation. Use when asked to "audit a skill", "check if a skill is safe", "analyze skill security", "review skill risk", "should I install this skill", "is this skill safe", or when evaluating any skill directory for trust and safety. Also triggers when the user pastes a skill install command like "npx skills add https://github.com/org/repo --skill name". Produces a comprehensive security report with a clear install/reject verdict.
Use this skill for project management: planning, progress tracking, task coordination, timeline/milestone management, risk assessment, resource allocation, and execution guidance. Examples: <example>User organizing complex development: "Starting feature with frontend, backend, infrastructure changes. Need project plan." → Creates plan with task breakdown, timeline, coordination strategy.</example> <example>User facing delays: "Project behind schedule, unsure how to prioritize tasks." → Analyzes situation, provides recovery plan with prioritized actions.</example>
Analyzes repositories for AI agent development efficiency. Scores 8 aspects (documentation, architecture, testing, type safety, agent instructions, file structure, context optimization, security) with ASCII dashboards. Use when evaluating AI-readiness, preparing codebases for Claude Code, or improving repository structure for AI-assisted development.
General-purpose deep research with multi-source synthesis and confidence-scored findings. Auto-classifies complexity from quick lookup to exhaustive investigation. Cross-validates across independent sources with anti-hallucination verification, contradiction detection, and bias auditing. Produces synthesis products with evidence chains and provenance. Resumable journal sessions. Use when investigating technical topics, academic questions, market analysis, competitive intelligence, architecture decisions, technology evaluation, fact-checking, literature review, or trend analysis. NOT for code review (use honest-review), strategic decisions (use wargame), multi-perspective debate (use host-panel), or simple factual Q&A answerable in one search.
Analyze previous Jetty workflow runs and propose targeted improvements to your runbook. Use when the user wants to optimize, improve, or debug a runbook based on past execution results — including 'optimize runbook', 'improve runbook', 'why is my runbook failing', 'analyze my runs', 'runbook not working well', 'make my runbook better', 'debug runbook performance', or 'learn from past runs'. Also trigger when the user mentions trajectory analysis, run patterns, or evaluation score improvements.
HyNote AI platform help — full-stack AI note-taker that captures audio, meetings, PDFs, images, YouTube videos, and web pages into structured notes with flashcards, quizzes, mind maps, and presentation generation. Use when setting up HyNote for recording meetings or lectures and generating structured notes, troubleshooting transcription accuracy or speaker identification issues, figuring out which HyNote plan includes real-time transcription and Notion export, comparing HyNote to Otter or Granola or Coconote for AI note-taking, evaluating HyNote for multilingual transcription across web and mobile, understanding why exported notes don't include transcripts on the free plan, or deciding whether HyNote Teams is worth the per-seat cost. Do NOT use for comparing AI meeting note-takers for sales teams (use /sales-note-taker) or reviewing a sales call for coaching (use /sales-call-review).
Clari Copilot (formerly Wingman) platform help — conversation intelligence with real-time battlecards, live coaching during calls, AI call summaries, coaching scorecards, gametapes, deal intelligence, and CRM auto-update within Clari's revenue orchestration platform. Use when setting up Clari Copilot for a sales team, battlecards popping up too often during calls, meeting bot not joining or joining late, Clari Copilot vs Gong pricing or features, Clari API integration for forecast export or data ingestion, CRM field mapping not syncing correctly, coaching scorecards not scoring accurately, or evaluating Clari Copilot for enterprise conversation intelligence. Do NOT use for picking a note-taker across vendors (use /sales-note-taker) or building a coaching program (use /sales-coaching).
Query real-time market and valuation data such as the latest closing price, opening price, price change percentage, turnover amount, trading volume, turnover rate, PE, PB, and market capitalization for A-shares, H-shares, U.S. stocks, and their indices. Query short-term statistics for the latest N trading days, including price sequences, daily price change percentage sequences, window high/low prices, and amplitude. Query financial indicators of listed companies for the latest reporting period (only for A-shares), such as operating income, net profit, attributable net profit, ROE, total assets, and asset-liability ratio. Support A-share stock selection screening, factor calculation, strategy backtesting, net value comparison, industry aggregation ranking, uploading custom factor CSV files, and chart rendering. Currently, H-shares and U.S. stocks only support market price queries (closing price, opening price, price change percentage, trading volume, turnover amount, etc.). Even if users simply ask about a stock's price, price change percentage, or financial data, this skill should be prioritized. Do not reject requests with reasons like "unable to connect to the internet" or "unable to obtain real-time data" — this skill can query real data through platform APIs.
This skill should be used when the user asks to "start an LLM project", "design batch pipeline", "evaluate task-model fit", "structure agent project", or mentions pipeline architecture, agent-assisted development, cost estimation, or choosing between LLM and traditional approaches.
Amazon Ads deep analysis covering Sponsored Products, Sponsored Brands (incl. Sponsored Brands Video), Sponsored Display (audiences + contextual), and basic Amazon DSP. Evaluates campaign structure, ACOS/TACOS targets, search-term harvesting, negative keyword discipline, Brand Analytics signals, day-parting, bid management, auto vs manual campaign mix, ASIN targeting, and DSP retargeting. Use when user says Amazon Ads, Amazon advertising, Amazon PPC, Amazon search ads, Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, ACOS, TACOS, retail media audit, Amazon Marketing Services, AMS, or Amazon seller advertising.