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Use when wrapping a campaign, when preparing weekly, monthly, or quarterly channel summaries for stakeholders, or when you need data translated into an executive summary with next-period priorities.\nargument-hint: \"\u003Ctime period or campaign>\"\n---\n\n# Performance Report\n\n> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](..\u002F..\u002FCONNECTORS.md).\n\nGenerate a marketing performance report with key metrics, trend analysis, insights, and optimization recommendations.\n\n## Trigger\n\nUser runs `\u002Fperformance-report` or asks for a marketing report, performance analysis, campaign results, or metrics summary.\n\n## Inputs\n\n1. **Report type** — determine which type of report the user needs:\n   - **Campaign report** — performance of a specific campaign\n   - **Channel report** — performance across a specific channel (email, social, paid, SEO, etc.)\n   - **Content performance** — how content pieces are performing\n   - **Overall marketing report** — cross-channel summary (weekly, monthly, quarterly)\n   - **Custom** — user-defined scope\n\n2. **Time period** — the reporting window (last week, last month, last quarter, custom date range)\n\n3. **Data source**:\n   - If ~~marketing analytics is connected, discover what accounts and platforms are available, then pull performance data automatically\n   - If ~~product analytics is connected: pull performance data automatically\n   - If not connected: ask the user to provide metrics. Prompt with: \"Please paste or share your performance data. I can work with spreadsheets, CSV data, dashboard screenshots described in text, or just the key numbers.\"\n\n4. **Comparison period** (optional) — prior period or year-over-year for trend context\n\n5. **Stakeholder audience** (optional) — who will read this report (executive summary style vs. detailed analyst view)\n\n## Report Structure\n\n### 1. Executive Summary\n- 2-3 sentence overview of performance in the period\n- Headline metric with trend direction (up\u002Fdown\u002Fflat vs. prior period)\n- One key win and one area of concern\n\n### 2. Key Metrics Dashboard\n\nPresent core metrics in a summary table:\n\n| Metric | This Period | Prior Period | Change | Target | Status |\n|--------|------------|--------------|--------|--------|--------|\n\nStatus indicators:\n- On track (meeting or exceeding target)\n- At risk (below target but within acceptable range)\n- Off track (significantly below target)\n\n#### Metrics by Report Type\n\n**Campaign Report:**\n- Impressions and reach\n- Click-through rate (CTR)\n- Conversion rate\n- Cost per acquisition (CPA)\n- Return on ad spend (ROAS) or ROI\n- Total conversions\u002Fsignups\u002Fleads\n\n**Channel Report (Email):**\n- Emails sent, delivered, bounced\n- Open rate\n- Click-through rate\n- Unsubscribe rate\n- Conversion rate\n\n**Channel Report (Social):**\n- Impressions and reach\n- Engagement rate (likes, comments, shares)\n- Follower growth\n- Click-through rate\n- Top-performing posts\n\n**Channel Report (Paid):**\n- Spend\n- Impressions and clicks\n- CTR\n- CPC and CPM\n- Conversions and CPA\n- ROAS\n\n**Channel Report (SEO\u002FOrganic):**\n- Organic sessions\n- Keyword rankings (movement)\n- Pages indexed\n- Backlinks acquired\n- Top-performing pages\n\n**Content Performance:**\n- Pageviews and unique visitors\n- Time on page\n- Bounce rate\n- Social shares\n- Conversions attributed to content\n- Top and bottom performers\n\n**Overall Marketing Report:**\n- Total leads generated\n- Marketing qualified leads (MQLs)\n- Pipeline contribution\n- Customer acquisition cost (CAC)\n- Channel-by-channel summary\n\n### 3. Trend Analysis\n- Performance trend over the period (week-over-week or month-over-month)\n- Notable inflection points and what caused them\n- Seasonal or cyclical patterns observed\n- Comparison to benchmarks or targets\n\n### 4. What Worked\n- Top 3-5 wins with specific data\n- Why these performed well (hypothesis)\n- How to replicate or scale\n\n### 5. What Needs Improvement\n- Bottom 3-5 performers with specific data\n- Hypotheses for underperformance\n- Recommended fixes\n\n### 6. Insights and Observations\n- Patterns in the data that are not obvious from the metrics alone\n- Audience behavior insights\n- Content or creative themes that resonated\n- External factors that may have influenced performance (seasonality, news, competitive moves)\n\n### 7. Recommendations\nFor each recommendation:\n- What to do\n- Why (linked to a specific insight from the data)\n- Expected impact (high, medium, low)\n- Effort to implement (high, medium, low)\n- Priority (immediate, next sprint, next quarter)\n\nPrioritize recommendations in a 2x2 matrix format:\n\n| | Low Effort | High Effort |\n|---|---|---|\n| **High Impact** | Do first | Plan for next sprint |\n| **Low Impact** | Do if time allows | Deprioritize |\n\n### 8. Next Period Focus\n- Top 3 priorities for the upcoming period\n- Tests or experiments to run\n- Targets for key metrics\n\n## Metric Definitions and Benchmarks\n\n### Email Marketing\n\n| Metric | Definition | Benchmark Range | What It Tells You |\n|--------|-----------|----------------|-------------------|\n| Delivery rate | Emails delivered \u002F emails sent | 95-99% | List health and sender reputation |\n| Open rate | Unique opens \u002F emails delivered | 15-30% | Subject line and sender effectiveness |\n| Click-through rate (CTR) | Unique clicks \u002F emails delivered | 2-5% | Content relevance and CTA effectiveness |\n| Click-to-open rate (CTOR) | Unique clicks \u002F unique opens | 10-20% | Email content quality (for those who opened) |\n| Unsubscribe rate | Unsubscribes \u002F emails delivered | \u003C0.5% | Content-audience fit and frequency tolerance |\n| Bounce rate | Bounces \u002F emails sent | \u003C2% | List quality and data hygiene |\n| Conversion rate | Conversions \u002F emails delivered | 1-5% | End-to-end email effectiveness |\n| Revenue per email | Total revenue \u002F emails sent | Varies | Direct revenue attribution |\n| List growth rate | (New subscribers - unsubscribes) \u002F total list | 2-5% monthly | Audience building health |\n\n### Social Media\n\n| Metric | Definition | What It Tells You |\n|--------|-----------|-------------------|\n| Impressions | Number of times content was displayed | Content distribution and reach |\n| Reach | Number of unique users who saw content | Audience breadth |\n| Engagement rate | (Likes + comments + shares) \u002F reach | Content resonance |\n| Click-through rate | Link clicks \u002F impressions | Traffic driving effectiveness |\n| Follower growth rate | Net new followers \u002F total followers per period | Audience building |\n| Share\u002FRepost rate | Shares \u002F reach | Content virality and advocacy |\n| Video view rate | Views \u002F impressions | Video content hook effectiveness |\n| Video completion rate | Completed views \u002F total views | Video content quality and length fit |\n| Social share of voice | Your mentions \u002F total category mentions | Brand visibility vs. competitors |\n\n### Paid Advertising (Search and Social)\n\n| Metric | Definition | What It Tells You |\n|--------|-----------|-------------------|\n| Impressions | Times ad was shown | Budget utilization and targeting breadth |\n| Click-through rate (CTR) | Clicks \u002F impressions | Ad creative and targeting relevance |\n| Cost per click (CPC) | Total spend \u002F clicks | Cost efficiency of traffic generation |\n| Cost per mille (CPM) | Cost per 1,000 impressions | Awareness cost efficiency |\n| Conversion rate | Conversions \u002F clicks | Landing page and offer effectiveness |\n| Cost per acquisition (CPA) | Total spend \u002F conversions | Full-funnel cost efficiency |\n| Return on ad spend (ROAS) | Revenue \u002F ad spend | Revenue generation efficiency |\n| Quality Score (search) | Google's relevance rating (1-10) | Ad-keyword-landing page alignment |\n| Frequency | Average times a user sees the ad | Ad fatigue risk |\n| View-through conversions | Conversions from users who saw but did not click | Display\u002Fawareness campaign influence |\n\n### SEO \u002F Organic Search\n\n| Metric | Definition | What It Tells You |\n|--------|-----------|-------------------|\n| Organic sessions | Visits from organic search | SEO effectiveness and content reach |\n| Keyword rankings | Position for target keywords | Search visibility |\n| Organic CTR | Clicks \u002F impressions in search results | Title and meta description effectiveness |\n| Pages indexed | Number of pages in search index | Crawlability and site health |\n| Domain authority | Third-party authority score | Overall site strength |\n| Backlinks | Number of external sites linking to you | Content authority and off-page SEO |\n| Page load speed | Time to interactive | User experience and ranking factor |\n| Organic conversion rate | Organic conversions \u002F organic sessions | Content quality and intent alignment |\n| Top entry pages | Most-visited pages from organic search | Content driving the most organic traffic |\n\n### Content Marketing\n\n| Metric | Definition | What It Tells You |\n|--------|-----------|-------------------|\n| Pageviews | Total views of content pages | Content reach and distribution |\n| Unique visitors | Distinct users viewing content | Audience size |\n| Average time on page | Time spent on content pages | Content engagement and depth |\n| Bounce rate | Single-page sessions \u002F total sessions | Content-audience fit and UX |\n| Scroll depth | How far users scroll on a page | Content engagement through the piece |\n| Social shares | Times content was shared on social | Content resonance and virality |\n| Backlinks earned | External links to content | Content authority and SEO value |\n| Lead generation | Leads attributed to content | Content conversion effectiveness |\n| Content ROI | Revenue attributed \u002F content production cost | Overall content investment return |\n\n### Overall Marketing \u002F Pipeline\n\n| Metric | Definition | What It Tells You |\n|--------|-----------|-------------------|\n| Marketing qualified leads (MQLs) | Leads meeting marketing qualification criteria | Top-of-funnel effectiveness |\n| Sales qualified leads (SQLs) | MQLs accepted by sales | Lead quality |\n| MQL to SQL conversion rate | SQLs \u002F MQLs | Marketing-sales alignment and lead quality |\n| Pipeline generated | Dollar value of opportunities created | Marketing impact on revenue |\n| Pipeline velocity | How fast deals move through pipeline | Campaign urgency and quality |\n| Customer acquisition cost (CAC) | Total marketing + sales cost \u002F new customers | Efficiency of customer acquisition |\n| CAC payback period | Months to recover CAC from revenue | Unit economics health |\n| Marketing-sourced revenue | Revenue from marketing-originated deals | Direct marketing contribution |\n| Marketing-influenced revenue | Revenue from deals where marketing touched | Broader marketing impact |\n\n## Reporting Templates by Cadence\n\n### Weekly Marketing Report\nQuick-scan format for team standups:\n- **Top 3 metrics** with week-over-week change\n- **What worked** this week (1-2 bullet points with data)\n- **What needs attention** (1-2 bullet points with data)\n- **This week's priorities** (3-5 action items)\n\n### Monthly Marketing Report\nStandard stakeholder report:\n1. Executive summary (3-5 sentences)\n2. Key metrics dashboard (table with MoM and target comparison)\n3. Channel-by-channel performance summary\n4. Campaign highlights and results\n5. What worked and what did not (with hypotheses)\n6. Recommendations and next month priorities\n7. Budget spend vs. plan\n\n### Quarterly Business Review (QBR)\nStrategic review for leadership:\n1. Quarter performance vs. goals\n2. Year-to-date trajectory\n3. Channel ROI analysis\n4. Campaign performance summary\n5. Competitive and market observations\n6. Strategic recommendations for next quarter\n7. Budget request and allocation plan\n8. Key experiments and learnings\n\n### Dashboard Design Principles\n- Lead with the metrics that map to business objectives (not vanity metrics)\n- Show trends over time, not just point-in-time snapshots\n- Include comparison context: prior period, target, benchmark\n- Use consistent color coding: green (on track), yellow (at risk), red (off track)\n- Group metrics by funnel stage or business question\n- Keep dashboards to one page\u002Fscreen — detail goes in appendix\n- Update cadence should match decision cadence (real-time for paid, weekly for content)\n\n## Trend Analysis and Forecasting\n\n### Trend Identification\nWhen analyzing performance data, look for:\n\n1. **Directional trends**: is the metric consistently going up, down, or flat over 4+ periods?\n2. **Inflection points**: where did performance change direction and what happened then?\n3. **Seasonality**: are there predictable patterns by day of week, month, or quarter?\n4. **Anomalies**: one-time spikes or drops — what caused them and are they repeatable?\n5. **Leading indicators**: which metrics change first and predict future outcomes?\n\n### Trend Analysis Process\n1. Chart the metric over time (at least 8-12 data points for meaningful trends)\n2. Identify the overall direction (upward, downward, flat, cyclical)\n3. Calculate the rate of change (is it accelerating or decelerating?)\n4. Overlay key events (campaigns launched, product changes, market events)\n5. Compare to benchmarks or targets\n6. Identify correlations with other metrics\n7. Form hypotheses about causation (and plan tests to validate)\n\n### Simple Forecasting Approaches\n- **Linear projection**: extend the current trend line forward (useful for stable metrics)\n- **Moving average**: smooth out noise by averaging the last 3-6 periods\n- **Year-over-year comparison**: use last year's pattern as a baseline, adjusted for growth rate\n- **Funnel math**: forecast outputs from inputs (e.g., if we generate X leads at Y conversion rate, we will get Z customers)\n- **Scenario modeling**: create best case, expected case, and worst case projections\n\n### Forecasting Caveats\n- Short-term forecasts (1-3 months) are more reliable than long-term\n- Forecasts based on fewer than 12 data points should be flagged as low confidence\n- External factors (market shifts, competitive moves, economic changes) can invalidate trend-based forecasts\n- Always present forecasts as ranges, not exact numbers\n\n## Attribution Modeling Basics\n\n### What Is Attribution?\nAttribution determines which marketing touchpoints get credit for a conversion. This matters because buyers typically interact with multiple channels before converting.\n\n### Common Attribution Models\n\n| Model | How It Works | Best For | Limitation |\n|-------|-------------|----------|------------|\n| Last touch | 100% credit to last interaction before conversion | Understanding final conversion triggers | Ignores awareness and nurture |\n| First touch | 100% credit to first interaction | Understanding top-of-funnel effectiveness | Ignores nurture and conversion drivers |\n| Linear | Equal credit to all touchpoints | Fair representation of all channels | Does not reflect relative impact |\n| Time decay | More credit to touchpoints closer to conversion | Balanced view favoring recent interactions | May undervalue awareness |\n| Position-based (U-shaped) | 40% first, 40% last, 20% split among middle | Valuing both discovery and conversion | Somewhat arbitrary weighting |\n| Data-driven | Algorithmic credit based on conversion patterns | Most accurate representation | Requires significant data volume |\n\n### Attribution Practical Guidance\n- Start with last-touch attribution if you have no model in place — it is the simplest and most actionable\n- Compare first-touch and last-touch to understand which channels drive awareness vs. conversion\n- Use position-based (U-shaped) as a reasonable middle ground for most B2B companies\n- Data-driven attribution requires high conversion volume to be statistically meaningful\n- No model is perfect — use attribution directionally, not as absolute truth\n- Multi-touch attribution is better than single-touch, but any model is better than none\n\n### Attribution Pitfalls\n- Do not optimize one channel in isolation based on single-touch attribution\n- Awareness channels (display, social, PR) will always look bad in last-touch models\n- Conversion channels (search, retargeting) will always look bad in first-touch models\n- Self-reported attribution (\"how did you hear about us?\") provides useful qualitative color but is unreliable as quantitative data\n- Cross-device and cross-channel tracking gaps mean attribution data is always incomplete\n\n## Optimization Recommendations Framework\n\n### Optimization Process\n1. **Identify**: which metrics are underperforming vs. target or benchmark?\n2. **Diagnose**: where in the funnel is the problem? (impressions, clicks, conversions, retention)\n3. **Hypothesize**: what is causing the underperformance? (audience, message, creative, offer, timing, technical)\n4. **Prioritize**: which fixes will have the biggest impact with the least effort?\n5. **Test**: design an experiment to validate the hypothesis\n6. **Measure**: did the change improve the metric?\n7. **Scale or iterate**: roll out wins broadly; iterate on inconclusive or failed tests\n\n### Optimization Levers by Funnel Stage\n\n| Funnel Stage | Problem Signal | Optimization Levers |\n|-------------|---------------|---------------------|\n| Awareness | Low impressions, low reach | Budget, targeting, channel mix, creative format |\n| Interest | Low CTR, low engagement | Ad creative, headlines, content hooks, audience targeting |\n| Consideration | High bounce rate, low time on page | Landing page content, page speed, content relevance, UX |\n| Conversion | Low conversion rate | Offer, CTA, form length, trust signals, page layout |\n| Retention | High churn, low repeat engagement | Onboarding, email nurture, product experience, support |\n\n### Testing Best Practices\n- Test one variable at a time for clean results\n- Define the success metric before launching the test\n- Calculate required sample size before starting (do not end tests early)\n- Run tests for a minimum of one full business cycle (typically one week for B2B)\n- Document all tests and results, regardless of outcome\n- Share learnings across the team — failed tests are valuable information\n- A test that confirms the status quo is not a failure — it builds confidence in your current approach\n\n### Continuous Optimization Cadence\n- **Daily**: monitor paid campaigns for budget pacing, anomalies, and disapproved ads\n- **Weekly**: review channel performance, pause underperformers, scale winners\n- **Bi-weekly**: refresh ad creative and test new variants\n- **Monthly**: full performance review, identify new optimization opportunities, update forecasts\n- **Quarterly**: strategic review of channel mix, budget allocation, and targeting 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targeting",{"type":41,"tag":278,"props":2891,"children":2892},{},[2893,2898,2903],{"type":41,"tag":786,"props":2894,"children":2895},{},[2896],{"type":46,"value":2897},"Consideration",{"type":41,"tag":786,"props":2899,"children":2900},{},[2901],{"type":46,"value":2902},"High bounce rate, low time on page",{"type":41,"tag":786,"props":2904,"children":2905},{},[2906],{"type":46,"value":2907},"Landing page content, page speed, content relevance, UX",{"type":41,"tag":278,"props":2909,"children":2910},{},[2911,2916,2921],{"type":41,"tag":786,"props":2912,"children":2913},{},[2914],{"type":46,"value":2915},"Conversion",{"type":41,"tag":786,"props":2917,"children":2918},{},[2919],{"type":46,"value":2920},"Low conversion rate",{"type":41,"tag":786,"props":2922,"children":2923},{},[2924],{"type":46,"value":2925},"Offer, CTA, form length, trust signals, page layout",{"type":41,"tag":278,"props":2927,"children":2928},{},[2929,2934,2939],{"type":41,"tag":786,"props":2930,"children":2931},{},[2932],{"type":46,"value":2933},"Retention",{"type":41,"tag":786,"props":2935,"children":2936},{},[2937],{"type":46,"value":2938},"High churn, low repeat engagement",{"type":41,"tag":786,"props":2940,"children":2941},{},[2942],{"type":46,"value":2943},"Onboarding, email nurture, product experience, support",{"type":41,"tag":234,"props":2945,"children":2947},{"id":2946},"testing-best-practices",[2948],{"type":46,"value":2949},"Testing Best Practices",{"type":41,"tag":116,"props":2951,"children":2952},{},[2953,2958,2963,2968,2973,2978,2983],{"type":41,"tag":104,"props":2954,"children":2955},{},[2956],{"type":46,"value":2957},"Test one variable at a time for clean results",{"type":41,"tag":104,"props":2959,"children":2960},{},[2961],{"type":46,"value":2962},"Define the success metric before launching the test",{"type":41,"tag":104,"props":2964,"children":2965},{},[2966],{"type":46,"value":2967},"Calculate required sample size before starting (do not end tests early)",{"type":41,"tag":104,"props":2969,"children":2970},{},[2971],{"type":46,"value":2972},"Run tests for a minimum of one full business cycle (typically one week for B2B)",{"type":41,"tag":104,"props":2974,"children":2975},{},[2976],{"type":46,"value":2977},"Document all tests and results, regardless of outcome",{"type":41,"tag":104,"props":2979,"children":2980},{},[2981],{"type":46,"value":2982},"Share learnings across the team — failed tests are valuable information",{"type":41,"tag":104,"props":2984,"children":2985},{},[2986],{"type":46,"value":2987},"A test that confirms the status quo is not a failure — it builds confidence in your current approach",{"type":41,"tag":234,"props":2989,"children":2991},{"id":2990},"continuous-optimization-cadence",[2992],{"type":46,"value":2993},"Continuous Optimization Cadence",{"type":41,"tag":116,"props":2995,"children":2996},{},[2997,3007,3017,3027,3037],{"type":41,"tag":104,"props":2998,"children":2999},{},[3000,3005],{"type":41,"tag":108,"props":3001,"children":3002},{},[3003],{"type":46,"value":3004},"Daily",{"type":46,"value":3006},": monitor paid campaigns for budget pacing, anomalies, and disapproved ads",{"type":41,"tag":104,"props":3008,"children":3009},{},[3010,3015],{"type":41,"tag":108,"props":3011,"children":3012},{},[3013],{"type":46,"value":3014},"Weekly",{"type":46,"value":3016},": review channel performance, pause underperformers, scale winners",{"type":41,"tag":104,"props":3018,"children":3019},{},[3020,3025],{"type":41,"tag":108,"props":3021,"children":3022},{},[3023],{"type":46,"value":3024},"Bi-weekly",{"type":46,"value":3026},": refresh ad creative and test new variants",{"type":41,"tag":104,"props":3028,"children":3029},{},[3030,3035],{"type":41,"tag":108,"props":3031,"children":3032},{},[3033],{"type":46,"value":3034},"Monthly",{"type":46,"value":3036},": full performance review, identify new optimization opportunities, update forecasts",{"type":41,"tag":104,"props":3038,"children":3039},{},[3040,3045],{"type":41,"tag":108,"props":3041,"children":3042},{},[3043],{"type":46,"value":3044},"Quarterly",{"type":46,"value":3046},": strategic review of channel mix, budget allocation, and targeting strategy",{"type":41,"tag":73,"props":3048,"children":3050},{"id":3049},"output-formatting",[3051],{"type":46,"value":3052},"Output Formatting",{"type":41,"tag":116,"props":3054,"children":3055},{},[3056,3061,3066,3071],{"type":41,"tag":104,"props":3057,"children":3058},{},[3059],{"type":46,"value":3060},"Use tables for data presentation",{"type":41,"tag":104,"props":3062,"children":3063},{},[3064],{"type":46,"value":3065},"Bold key numbers and trends",{"type":41,"tag":104,"props":3067,"children":3068},{},[3069],{"type":46,"value":3070},"Keep the executive summary concise (suitable for forwarding to leadership)",{"type":41,"tag":104,"props":3072,"children":3073},{},[3074],{"type":46,"value":3075},"Include a \"detailed appendix\" section for granular data if the user provided a lot of metrics",{"type":41,"tag":73,"props":3077,"children":3079},{"id":3078},"after-the-report",[3080],{"type":46,"value":3081},"After the Report",{"type":41,"tag":53,"props":3083,"children":3084},{},[3085],{"type":46,"value":3086},"Ask: \"Would you like me to:",{"type":41,"tag":116,"props":3088,"children":3089},{},[3090,3095,3100,3105],{"type":41,"tag":104,"props":3091,"children":3092},{},[3093],{"type":46,"value":3094},"Create a slide-ready summary of these results?",{"type":41,"tag":104,"props":3096,"children":3097},{},[3098],{"type":46,"value":3099},"Draft a stakeholder email with the key takeaways?",{"type":41,"tag":104,"props":3101,"children":3102},{},[3103],{"type":46,"value":3104},"Dive deeper into any specific metric or channel?",{"type":41,"tag":104,"props":3106,"children":3107},{},[3108],{"type":46,"value":3109},"Set up a reporting template you can reuse next period?\"",{"items":3111,"total":3224},[3112,3128,3144,3158,3176,3195,3209],{"slug":3113,"name":3113,"fn":3114,"description":3115,"org":3116,"tags":3117,"stars":23,"repoUrl":24,"updatedAt":3127},"accessibility-review","run WCAG accessibility audits","Run a WCAG 2.1 AA accessibility audit on a design or page. Trigger with \"audit accessibility\", \"check a11y\", \"is this accessible?\", or when reviewing a design for color contrast, keyboard navigation, touch target size, or screen reader behavior before handoff.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3118,3121,3124],{"name":3119,"slug":3120,"type":16},"Accessibility","accessibility",{"name":3122,"slug":3123,"type":16},"Design","design",{"name":3125,"slug":3126,"type":16},"WCAG","wcag","2026-04-06T17:58:05.682394",{"slug":3129,"name":3129,"fn":3130,"description":3131,"org":3132,"tags":3133,"stars":23,"repoUrl":24,"updatedAt":3143},"account-research","research accounts for sales intel","Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with \"research [company]\", \"look up [person]\", \"intel on [prospect]\", \"who is [name] at [company]\", or \"tell me about [company]\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3134,3137,3140],{"name":3135,"slug":3136,"type":16},"CRM","crm",{"name":3138,"slug":3139,"type":16},"Research","research",{"name":3141,"slug":3142,"type":16},"Sales","sales","2026-04-06T17:56:41.410418",{"slug":3145,"name":3145,"fn":3146,"description":3147,"org":3148,"tags":3149,"stars":23,"repoUrl":24,"updatedAt":3157},"analyze","answer data questions and run analyses","Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3150,3151,3154],{"name":21,"slug":22,"type":16},{"name":3152,"slug":3153,"type":16},"Data Analysis","data-analysis",{"name":3155,"slug":3156,"type":16},"SQL","sql","2026-04-06T17:57:21.593647",{"slug":3159,"name":3159,"fn":3160,"description":3161,"org":3162,"tags":3163,"stars":23,"repoUrl":24,"updatedAt":3175},"architecture","create and evaluate architecture decision records","Create or evaluate an architecture decision record (ADR). Use when choosing between technologies (e.g., Kafka vs SQS), documenting a design decision with trade-offs and consequences, reviewing a system design proposal, or designing a new component from requirements and constraints.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3164,3167,3169,3172],{"name":3165,"slug":3166,"type":16},"ADR","adr",{"name":3168,"slug":3159,"type":16},"Architecture",{"name":3170,"slug":3171,"type":16},"Documentation","documentation",{"name":3173,"slug":3174,"type":16},"Engineering","engineering","2026-04-06T17:57:49.26444",{"slug":3177,"name":3177,"fn":3178,"description":3179,"org":3180,"tags":3181,"stars":23,"repoUrl":24,"updatedAt":3194},"audit-support","support SOX 404 control testing","Support SOX 404 compliance with control testing methodology, sample selection, and documentation standards. Use when generating testing workpapers, selecting audit samples, classifying control deficiencies, or preparing for internal or external audits.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3182,3185,3188,3191],{"name":3183,"slug":3184,"type":16},"Audit","audit",{"name":3186,"slug":3187,"type":16},"Finance","finance",{"name":3189,"slug":3190,"type":16},"Regulatory Compliance","regulatory-compliance",{"name":3192,"slug":3193,"type":16},"SOX","sox","2026-04-06T17:57:36.714815",{"slug":3196,"name":3196,"fn":3197,"description":3198,"org":3199,"tags":3200,"stars":23,"repoUrl":24,"updatedAt":3208},"brand-review","review content against brand voice","Review content against your brand voice, style guide, and messaging pillars, flagging deviations by severity with specific before\u002Fafter fixes. Use when checking a draft before it ships, when auditing copy for voice consistency and terminology, or when screening for unsubstantiated claims, missing disclaimers, and other legal flags.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3201,3204,3205],{"name":3202,"slug":3203,"type":16},"Branding","branding",{"name":14,"slug":15,"type":16},{"name":3206,"slug":3207,"type":16},"Writing","writing","2026-04-06T17:58:19.548331",{"slug":3210,"name":3210,"fn":3211,"description":3212,"org":3213,"tags":3214,"stars":23,"repoUrl":24,"updatedAt":3223},"brand-voice-enforcement","enforce brand voice in content","This skill applies brand guidelines to content creation. It should be used when the user asks to \"write an email\", \"draft a proposal\", \"create a pitch deck\", \"write a LinkedIn post\", \"draft a presentation\", \"write a Slack message\", \"draft sales content\", or any content creation request where brand voice should be applied. Also triggers on \"on-brand\", \"brand voice\", \"enforce voice\", \"apply brand guidelines\", \"brand-aligned content\", \"write in our voice\", \"use our brand tone\", \"make this sound like us\", \"rewrite this in our tone\", or \"this doesn't sound on-brand\". Not for generating guidelines from scratch (use guideline-generation) or discovering brand materials (use discover-brand).\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3215,3216,3219,3222],{"name":3202,"slug":3203,"type":16},{"name":3217,"slug":3218,"type":16},"Communications","communications",{"name":3220,"slug":3221,"type":16},"Content Creation","content-creation",{"name":3206,"slug":3207,"type":16},"2026-04-06T18:00:23.528956",200,{"items":3226,"total":3403},[3227,3246,3258,3270,3289,3300,3321,3341,3351,3366,3374,3387],{"slug":3228,"name":3228,"fn":3229,"description":3230,"org":3231,"tags":3232,"stars":3243,"repoUrl":3244,"updatedAt":3245},"algorithmic-art","create algorithmic art with p5.js","Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3233,3236,3237,3240],{"name":3234,"slug":3235,"type":16},"Creative","creative",{"name":3122,"slug":3123,"type":16},{"name":3238,"slug":3239,"type":16},"Generative Art","generative-art",{"name":3241,"slug":3242,"type":16},"JavaScript","javascript",161831,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fskills","2026-04-06T17:56:15.455818",{"slug":3247,"name":3247,"fn":3248,"description":3249,"org":3250,"tags":3251,"stars":3243,"repoUrl":3244,"updatedAt":3257},"brand-guidelines","apply Anthropic brand colors and typography","Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3252,3253,3254],{"name":3202,"slug":3203,"type":16},{"name":3122,"slug":3123,"type":16},{"name":3255,"slug":3256,"type":16},"Typography","typography","2026-04-06T17:56:05.042852",{"slug":3259,"name":3259,"fn":3260,"description":3261,"org":3262,"tags":3263,"stars":3243,"repoUrl":3244,"updatedAt":3269},"canvas-design","create posters and visual art as PNG or PDF","Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3264,3265,3266],{"name":3234,"slug":3235,"type":16},{"name":3122,"slug":3123,"type":16},{"name":3267,"slug":3268,"type":16},"PDF","pdf","2026-04-06T17:56:03.794732",{"slug":3271,"name":3271,"fn":3272,"description":3273,"org":3274,"tags":3275,"stars":3243,"repoUrl":3244,"updatedAt":3288},"claude-api","build apps with the Claude API","Reference for the Claude API \u002F Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude\u002FAnthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing\u002Fmodel choice\u002Flimits\u002Fcaching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent\u002FMCP\u002Ftool-definition\u002Fmulti-agent\u002FRAG\u002FLLM-judge\u002Fcomputer-use; generate\u002Fsummarize\u002Fextract\u002Fclassify\u002Frewrite\u002Fconverse over NL; debugging refusals\u002Fcutoffs\u002Fstreaming\u002Ftool-calls\u002Ftokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI\u002FGPT\u002FGemini\u002FLlama\u002FMistral\u002FCohere\u002FOllama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3276,3279,3280,3283,3285],{"name":3277,"slug":3278,"type":16},"Agents","agents",{"name":9,"slug":8,"type":16},{"name":3281,"slug":3282,"type":16},"Anthropic SDK","anthropic-sdk",{"name":3284,"slug":3271,"type":16},"Claude API",{"name":3286,"slug":3287,"type":16},"LLM","llm","2026-07-28T05:36:08.213335",{"slug":3290,"name":3290,"fn":3291,"description":3292,"org":3293,"tags":3294,"stars":3243,"repoUrl":3244,"updatedAt":3299},"doc-coauthoring","co-author documentation and technical specs","Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3295,3296],{"name":3170,"slug":3171,"type":16},{"name":3297,"slug":3298,"type":16},"Technical Writing","technical-writing","2026-04-06T17:56:14.18897",{"slug":3301,"name":3301,"fn":3302,"description":3303,"org":3304,"tags":3305,"stars":3243,"repoUrl":3244,"updatedAt":3320},"docx","create and edit Word documents","Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3306,3309,3311,3314,3317],{"name":3307,"slug":3308,"type":16},"Documents","documents",{"name":3310,"slug":3301,"type":16},"DOCX",{"name":3312,"slug":3313,"type":16},"Office","office",{"name":3315,"slug":3316,"type":16},"Templates","templates",{"name":3318,"slug":3319,"type":16},"Word","word","2026-07-18T05:16:23.136271",{"slug":3322,"name":3322,"fn":3323,"description":3324,"org":3325,"tags":3326,"stars":3243,"repoUrl":3244,"updatedAt":3340},"frontend-design","design production-grade frontend interfaces","Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3327,3328,3331,3334,3337],{"name":3122,"slug":3123,"type":16},{"name":3329,"slug":3330,"type":16},"Frontend","frontend",{"name":3332,"slug":3333,"type":16},"React","react",{"name":3335,"slug":3336,"type":16},"Tailwind CSS","tailwind-css",{"name":3338,"slug":3339,"type":16},"UI Components","ui-components","2026-04-06T17:56:16.723469",{"slug":3342,"name":3342,"fn":3343,"description":3344,"org":3345,"tags":3346,"stars":3243,"repoUrl":3244,"updatedAt":3350},"internal-comms","write internal company communications","A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3347,3348,3349],{"name":3217,"slug":3218,"type":16},{"name":3315,"slug":3316,"type":16},{"name":3206,"slug":3207,"type":16},"2026-04-06T17:56:20.695522",{"slug":3352,"name":3352,"fn":3353,"description":3354,"org":3355,"tags":3356,"stars":3243,"repoUrl":3244,"updatedAt":3365},"mcp-builder","build MCP servers","Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node\u002FTypeScript (MCP SDK).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3357,3358,3361,3362],{"name":3277,"slug":3278,"type":16},{"name":3359,"slug":3360,"type":16},"API Development","api-development",{"name":3286,"slug":3287,"type":16},{"name":3363,"slug":3364,"type":16},"MCP","mcp","2026-04-06T17:56:10.357665",{"slug":3268,"name":3268,"fn":3367,"description":3368,"org":3369,"tags":3370,"stars":3243,"repoUrl":3244,"updatedAt":3373},"read edit and manipulate PDF files","Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text\u002Ftables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting\u002Fdecrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3371,3372],{"name":3307,"slug":3308,"type":16},{"name":3267,"slug":3268,"type":16},"2026-04-06T17:56:02.483316",{"slug":3375,"name":3375,"fn":3376,"description":3377,"org":3378,"tags":3379,"stars":3243,"repoUrl":3244,"updatedAt":3386},"pptx","create and edit PowerPoint presentations","Use this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates (.potx), layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. If a .pptx or .potx file needs to be opened, created, or touched, use this skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3380,3383],{"name":3381,"slug":3382,"type":16},"PowerPoint","powerpoint",{"name":3384,"slug":3385,"type":16},"Presentations","presentations","2026-07-18T05:16:24.1471",{"slug":3388,"name":3388,"fn":3389,"description":3390,"org":3391,"tags":3392,"stars":3243,"repoUrl":3244,"updatedAt":3402},"skill-creator","create and optimize agent skills","Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3393,3394,3395,3398,3401],{"name":3277,"slug":3278,"type":16},{"name":3170,"slug":3171,"type":16},{"name":3396,"slug":3397,"type":16},"Evals","evals",{"name":3399,"slug":3400,"type":16},"Performance","performance",{"name":3297,"slug":3298,"type":16},"2026-04-19T06:45:40.804",490]