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Found 675 Skills
Iterative testing, verification, and improvement supervisor. Triggers when: User requests iterative testing and improvement, code quality review and assurance is needed, automated testing and feedback loops are required, or multiple rounds of refinement are specified. Commands: - /iterate <n> - Run n iterations of test-improve cycle - /iterate stop - Stop current iteration loop - /iterate status - Show current iteration status - /iterate report - Generate iteration report Capabilities: Automated test execution and result analysis, quality metrics tracking across iterations, improvement suggestion generation, convergence detection, and detailed iteration reports.
Designs structured benchmarks for comparing algorithms, models, or implementations. Selects appropriate metrics (latency, throughput, memory, accuracy), designs representative test cases, captures hardware/software context, produces comparison tables with tradeoff analysis, and includes reproduction instructions. Triggers on: "benchmark", "compare performance", "which is faster", "latency comparison", "memory comparison", "run benchmark", "design benchmark", "compare implementations", "evaluate algorithms", "performance comparison", "throughput test", "speed test". Use this skill when comparing two or more implementations, algorithms, or models.
Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API. Covers TikTok, Instagram, YouTube, LinkedIn, Facebook, Twitter/X, Reddit, Threads, Bluesky, Pinterest, Snapchat, Twitch, Kick, Truth Social, TikTok Shop, Google, and link-in-bio services (Linktree, Komi, Pillar, Linkbio, Linkme, Amazon Shop). Use when the user asks to scrape, fetch, extract, search, or look up social media profiles, posts, videos, reels, comments, transcripts, followers, ads, hashtags, trending content, or engagement metrics from any social platform. Also use when user mentions ScrapeCreators, social media API, ad library, or creator data.
Design multi-objective e-commerce product ranking combining relevance, conversion, and business metrics. Use this skill when the user needs to build a product ranking system beyond text relevance, balance relevance with commercial objectives, or implement learning-to-rank — even if they say 'product sorting', 'search result ranking', or 'how to rank products'.
Write, validate, and optimise PromQL queries for Prometheus and Grafana Cloud Metrics. Use when the user asks to query metrics, write a PromQL expression, calculate rates, aggregate across labels, build histogram quantiles, create recording rules, debug query performance, or understand metric cardinality. Triggers on phrases like "PromQL", "Prometheus query", "write a metric query", "calculate rate", "histogram_quantile", "recording rule", "metric cardinality", "sum by", "rate vs irate", "absent()", or "query is slow".
Designs production-grade RAG pipelines with chunking optimization, retrieval evaluation, and pipeline architecture. Use when building a RAG system, selecting a chunking strategy, choosing a vector database, optimizing retrieval quality, designing embedding pipelines, or evaluating RAG performance with RAGAS metrics.
Grafana Alloy OpenTelemetry collector and telemetry pipeline configuration. Covers the Alloy configuration language (blocks, attributes, expressions), components for collecting metrics/logs/traces/profiles, sending data to Grafana Cloud/Prometheus/Loki/Tempo, clustering, Fleet Management remote config, and building telemetry pipelines. Use when configuring Alloy, writing Alloy config files (.alloy), building data collection pipelines, setting up scraping, or troubleshooting Alloy deployments.
Influencer marketing strategy across platforms — creator discovery, audience vetting, campaign tracking, ROI measurement, outreach, gifting, and affiliate programs. Covers platform comparison (Modash, influData, Creator.co, Hypefy, LTK, Influencity, Meltwater, Skeepers, Heepsy, CreatorIQ, NeoReach, Afluencer, Collabstr, Cloutboost, House of Marketers, Famesters, inBeat, HypeAuditor, Aspire, Influencer Hero, InstaJet, Open Influence, Viral Nation, trendHERO, Upfluence, GRIN, PlutoBa), discovery workflow (search, filters, lookalikes, audience analysis), vetting framework (fake followers, engagement authenticity, audience demographics), campaign setup and tracking (EMV, ROAS, CPM, sales attribution), creator outreach (email templates, negotiation, rate cards), product gifting and seeding, influencer affiliate programs, and creator payments. Use when unsure which influencer platform to pick, can't find the right creators for your niche, worried about fake followers or inflated metrics, campaign results aren't being tracked properly, creators aren't responding to outreach, or influencer spend isn't showing ROI. Do NOT use for platform-specific config (use /sales-modash, /sales-infludata, /sales-creatorco, /sales-hypefy, /sales-ltk, /sales-influencity, /sales-meltwater, /sales-brandwatch, /sales-skeepers, /sales-heepsy, /sales-creatoriq, /sales-neoreach, /sales-afluencer, /sales-collabstr, /sales-cloutboost, /sales-houseofmarketers, /sales-famesters, /sales-inbeat, /sales-hypeauditor, /sales-aspire, /sales-influencer-hero, /sales-instajet, /sales-openinfluence, /sales-viralnation, /sales-trendhero, /sales-upfluence, /sales-grin, or /sales-plutoba), TikTok marketing strategy (use /sales-tiktok-marketing), gaming influencer marketing strategy (use /sales-gaming-marketing), ad campaign strategy (use /sales-retargeting), or email marketing to subscribers (use /sales-email-marketing).
A methodology for iteratively improving agent-facing text instructions (skills / slash commands / task prompts / CLAUDE.md sections / code-generation prompts) by having a bias-free executor actually run them and evaluating two-sidedly (executor self-report + instruction-side metrics). Keep iterating until improvements plateau. Use it right after creating or substantially revising a prompt or skill, or when you want to attribute an agent's unexpected behavior to ambiguity on the instruction side.
Applies Eric Ries's Lean Startup methodology for building products under extreme uncertainty. Use when iterating toward product/market fit, designing MVPs, deciding whether to pivot or persevere, setting up actionable metrics, or accelerating the Build-Measure-Learn loop. Triggers include 'how do we test this idea fast', 'what should our MVP look like', 'our metrics look good but we're not growing', 'should we pivot', 'we're building features no one uses', 'how do we measure validated learning', 'vanity metrics vs real metrics', 'how to do innovation accounting'. NOT for companies with proven product/market fit scaling a known playbook (use Crossing the Chasm), not for determining Market Type (use Four Steps), not for sales methodology (use SPIN Selling), not for pricing strategy (use Monetizing Innovation).
Browser automation and testing using chrome-devtools MCP server. Use when automating web browsers, taking screenshots, inspecting console logs, monitoring network requests, testing responsive layouts, collecting performance metrics, or debugging web applications. Critical for visual testing workflows and browser-based automation tasks.
Single-file horizontal-swipe slide deck for a weekly team update — shipped, in flight, blocked, metrics, asks. 6–8 slides. Use when the brief mentions "weekly update", "team update slides", "weekly status", "周报演示".