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Found 5,363 Skills
Use this skill when running SEO audits, optimizing for AI search engines (AI Overviews, ChatGPT, Perplexity), generating schema markup, diagnosing traffic drops, fixing Core Web Vitals, managing site migrations, or building keyword strategies. Runs scored full-site audits (0-100 Health Score) across 21 modules including technical SEO, E-E-A-T, hreflang, and programmatic SEO. Three modes: Audit, Plan, Execute. NOT for PPC/Ads, social media management, or generic marketing strategy unrelated to organic search.
How to write Cavekit-quality kits that AI agents can consume effectively. Covers implementation-agnostic cavekit design, testable acceptance criteria, hierarchical structure, cross-referencing, cavekit templates, greenfield and rewrite patterns, cavekit compaction, and gap analysis. Trigger phrases: "write kits", "create kits", "cavekit this out", "define requirements for agents", "how to write kits for AI"
This skill should be used when the user asks to "share memory between agents", "KV cache compaction for multi-agent", "orchestrator worker context", "latent briefing", "reduce worker tokens", "cross-agent memory without summarization", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.
trendHERO platform help — Instagram influencer analytics (95M+ profiles, 20+ filters), Account Quality Score (AQS 1-100, fake follower detection), Audience Analysis, Daily Tracking, Ads Database (10M+ posts), Audience Overlap, REST API (Bearer auth, webhooks). Covers discovery search, AQS interpretation, audience vetting, tracking setup, ads database research, API integration, and pricing (Free/Lite/Pro/Advanced). Use when you suspect an influencer has fake followers, trendHERO search results aren't matching your niche, you need to monitor an influencer's metrics over time, you want to see which influencers your competitors are using, the trendHERO API isn't working as expected, you're unsure which trendHERO plan fits your budget, or you're deciding between trendHERO, HypeAuditor, and Heepsy. Do NOT use for influencer strategy across platforms (use /sales-influencer-marketing), TikTok marketing (use /sales-tiktok-marketing), gaming influencer marketing (use /sales-gaming-marketing), or ad campaigns (use /sales-retargeting).
AI token price comparison platform that scrapes and aggregates prices across multiple platforms to help users find cheap, reliable AI account tokens
Summarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl) and per-user profiles across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.
Generates YAML signal configs for agent simulation experiments. Use when the user wants to define what signals to track, how to extract them from run artifacts, and how to aggregate them into experiment-level metrics. Trigger when users say: "generate a signal config", "create signals for my experiment", "I want to track [metric]", "write a signal YAML", "set up extraction for [thing]", "how do I measure [behavior] across runs", "configure signals for [experiment]", "create a signal config", "create signal config file", or "build a signal config".
Comprehensive financial audit tool for balance sheets and income statements. Use when Claude needs to verify balance sheet equilibrium, validate income statement items against detail records, track account changes with opening/closing balance reconciliation, verify cross-statement relationships, or generate audit reports with account analysis and transaction tracing.
Load a sharded, on-disk dataset (sharded .npy, Parquet/Arrow, raw binary, sharded HDF5, custom layouts) into a distributed cuPyNumeric ndarray via a manual partition + leaf @task launch with CPU/OMP/GPU variants. Use when no single-call loader fits, including when per-shard row counts differ across files. Prefer cupynumeric.load or legate.io.hdf5.from_file when they apply.
Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Codex — phrasings like "have Codex do X", "delegate this to Codex", "run it through Codex", or "use Codex to implement/fix/refactor" — or wants to run a queue of coding tasks through Codex while staying the reviewer. Prefer it over a one-shot Codex forwarder (such as the codex-rescue agent) specifically when the user will review the resulting diff and commit it themselves, or wants the full brief → dispatch → review → commit loop across a single task or a queue. Also reach for it proactively for a separate implementation pass on a bounded, well-specified task (an implementation sweep, a migration, a mechanical refactor, parallel work). Covers writing the Codex brief, dispatching it via the bundled relay.mjs helper, waiting for completion, reviewing the result, and committing. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.
Crypto social sentiment, news, influencer tracking, and topic intelligence. Use when gauging crowd mood, tracking KOL posts, or finding news on a coin (e.g. SOL sentiment, who's posting about $PEPE, AI category trend).
This skill should be used when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Use for Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.