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Found 5,550 Skills
Verification discipline for completion claims. Use when about to assert success, claim a fix is complete, report tests passing, or before commits and PRs. Enforces evidence-first workflow.
Review Go code for language and runtime conventions: concurrency, context usage, error handling, resource management, API stability, type semantics, and testability. Language-only atomic skill; output is a findings list.
General code quality and engineering discipline. Use on any code task to enforce minimal, clean, production-grade changes. Follow these rules when writing, editing, or reviewing code. Activates on: code, implement, fix, build, refactor, feature, bug, change, modify, add, create, develop, write, edit, improve, optimize, update, remove, delete, rename, move, extract, inline, migrate, convert, replace, rewrite.
When the user wants to track AI search traffic in GA4 or GSC. Also use when the user mentions "AI traffic," "ChatGPT referral," "Perplexity traffic," "AI Overviews," "GA4 AI sources," "AI search analytics," "track AI referrals," "AI search traffic," "Claude traffic," or "how to track AI traffic."
Draft publication-ready Results/Findings sections for quantitative sociology articles. Guides cluster selection, arc construction, paragraph-level moves, and writing techniques based on genre analysis of 83 Social Problems/Social Forces articles across secondary-survey, administrative-data, and content-analysis methods. Use when the user wants to write, draft, or revise a Results section for a quantitative or content-analysis paper. Also use when the user asks for help structuring findings, organizing results, or translating statistical output into publication-ready prose.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for...
Bootstrap, install, and operate an external task-management CLI as the source of truth for agent execution tracking (instead of built-in todos). Provides the abstraction layer between spec-management intent (implementation plans and tasks) and concrete CLI commands. MUST be invoked when any implementation-tier artifact (SPEC, STORY, BUG) comes up for implementation — create a tracked plan before writing code. Optional but recommended for complex SPIKEs. For coordination-tier artifacts (EPIC, VISION, JOURNEY), spec-management must decompose into implementable children first — this skill tracks the children, not the container. Also use for standalone tasks that require backend portability, persistent progress across agent runtimes, or external supervision. Use this skill whenever the user asks to track tasks, create an implementation plan, check what to work on next, see task status, manage dependencies between work items, or close/abandon tasks — even if they don't mention "execution tracking" explicitly.
Identify your article's contribution type and generate a cross-section vocabulary threading template. Feeds into argument-builder, article-bookends, and abstract-builder for consistent framing across all sections. Based on analysis of 197 articles from AJS, ASR, Social Problems, Social Forces, Social Movement Studies, and Mobilization.
OpenClaw stock analysis skill for US/HK/CN markets. Combines QVeris data sources (THS, Caidazi, Alpha Vantage, Finnhub, X sentiment) for quote, fundamentals, technicals, news radar, morning/evening brief, and actionable investment insights.
Structured business strategy frameworks — SWOT, OKR, Porter's Five Forces, McKinsey 7S, BCG Matrix, Blue Ocean, and change management models. Use when explicitly planning company/product strategy, setting measurable business goals, analyzing competitive positioning, or designing organizational change. Not for general business discussion — user should be asking for a framework or structured analysis.
Web automation, debugging, and E2E testing with Playwright. Handles interactive (login, forms, reproduce bugs) and passive modes (network/console capture). Triggers on "e2e test", "browser test", "playwright", "screenshot", "debug UI", "debug frontend", "reproduce bug", "network trace", "console output", "verify fix", "test that", "verify change", "test the flow", "http://localhost", "open browser", "click button", "fill form", "submit form", "check page", "web scraping", "automation script", "headless browser", "browser automation", "selenium alternative", "puppeteer alternative", "page object", "web testing", "UI testing", "frontend testing", "visual regression", "capture network", "intercept requests", "mock API responses". PROACTIVE: Invoke for security verification, UI fix verification, testing forms/dropdowns, or multi-step UI flows. ON SESSION RESUME - check for pending UI verifications.
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.