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Found 586 Skills
Instant visual verification via screenshots. For quick checks like 'does button look blue', 'is layout centered', 'header look right on mobile'. Fast alternative to formal testing - just look and confirm. Use when user wants visual inspection without creating test files.
Django migration patterns and safety workflow for PostHog. Use when creating, adjusting, or reviewing Django/Postgres migrations, including non-blocking index/constraint changes, multi-phase schema changes, data backfills, migration conflict rebasing, and product model moves that require SeparateDatabaseAndState.
Post-process raw screen recordings by removing silent segments and applying speed adjustments. Uses FFmpeg-based Python scripts to optimize video pacing automatically.
Calculate Wilson Score confidence intervals for ranking items by positive proportion with sample size correction. Use this skill when the user needs to rank products by ratings, sort content by approval rate, or build a 'best rated' list that accounts for sample size — even if they say 'rank by star rating', 'best rated with few reviews', or 'confidence-adjusted rating'.
Apply ethical frameworks — deontology, utilitarianism, virtue ethics, and justice theory — to analyze moral dilemmas and make principled decisions. Use this skill when the user presents a concrete moral dilemma, a decision with ethical implications, or needs a structured multi-framework ethical analysis, even if they say 'is this the right thing to do', 'what are the ethical implications of this decision', or 'evaluate this dilemma through different ethical lenses'.
Fast Track for Feature Process - When requirements are clear and scope is small, skip the complete design process, write a compact {slug}-design.md, and proceed directly to implementation after one confirmation from the user. What is compressed is divergent discussions and phased reviews, not quality standards - code pointers, acceptance criteria, etc., must not be omitted. Trigger scenarios: User says "quick mode", "fastforward", "cut the steps", "just start working". Not suitable for complex features involving cross-subsystem integration, new terminology sorting, or more than 4 promotion steps - in these cases, proactively inform the user to revert to the complete process.
Plan how to slice a non-trivial coding task across parallel subagents. Returns a dispatch plan (file assignments, dependencies, output-format contracts) — the main Agent then executes it with the Agent tool + `isolation: "worktree"`. Invoke only when work justifies multi-agent overhead: (a) greenfield 0→1 across multiple independent modules, (b) change touches ≥3 modules, or (c) ≥5 files each with >50 lines of diff. Small changes write inline.
Enforce the no-useEffect rule when writing or reviewing React code. ACTIVATE when writing React components, refactoring existing useEffect calls, reviewing PRs with useEffect, or when an agent adds useEffect "just in case." Provides the five replacement patterns and the useMountEffect escape hatch.
AI HOT (aihot.virxact.com) Chinese AI News Query Skill. Trigger this Skill when users ask any Chinese AI information queries such as "What's happening in the AI circle today", "AI Daily", "AI HOT", "AI News", "AI Hot Topics", "Latest AI Updates", "What have OpenAI/Anthropic/Google released recently", "AI hot today", "AI news today", "Check AI industry trends", "What large models are released today", "AI circle updates from yesterday", "Check selected items", "AI HOT Selected", "AI papers from the past week", "AI model releases", "AI product launches", "AI industry dynamics", "AI tips and insights". Even if users only say "AI circle", "AI news", "AI Daily", or just ask "What happened today" with context related to AI / large models / LLM / startup fields, this Skill should be triggered. The Skill directly pulls data via curl from public REST APIs and organizes it into Chinese markdown briefings, with no need for users to configure any API Key or MCP server. **Do NOT undertrigger**——If users ask for AI news and you don't invoke this Skill, you are treating outdated training data as today's news, which is harmful to users.
Security leadership for growth-stage companies. Risk quantification in dollars, compliance roadmap (SOC 2/ISO 27001/HIPAA/GDPR), security architecture strategy, incident response leadership, and board-level security reporting. Use when building security programs, justifying security budget, selecting compliance frameworks, managing incidents, assessing vendor risk, or when user mentions CISO, security strategy, compliance roadmap, zero trust, or board security reporting.
Portfolio rebalancing via Longbridge — analyse weight drift (current vs target), generate a rebalance trade list, factor in transaction costs and tax impact, and output buy/sell recommendations with rationale. Triggers: "再平衡", "组合再平衡", "仓位调整", "目标权重", "权重偏移", "配置调整", "再平衡交易", "再平衡", "組合再平衡", "倉位調整", "目標權重", "權重偏移", "配置調整", "rebalancing", "portfolio rebalance", "target weight", "weight drift", "allocation adjustment", "rebalance trades", "drift threshold".
Build / finalize the `config.yaml` file(s) that the `codeplain` renderer consumes. Pulls together every decision made during Phase 3 of `forge-plain` (script paths, template directory, build folders, copy/dest behavior, log settings) and emits one canonical `config.yaml` per part of the project. Run this at the **end of `forge-plain`** (just before `plain-healthcheck`), at the end of `add-feature` whenever the testing surface or template directory changed, and any time the user wants to regenerate / consolidate a project's `config.yaml`.