Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Marketing & growth
For founders who don't know where to start with paid ads. Analyzes ICP, competitor ad presence, budget constraints, and product type to recommend which 1-2 paid channels to start with and provides a 90-day ramp plan. Prevents the common mistake of spreading a small budget across too many platforms.
When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates. Also use when the user mentions "paywall," "upgrade screen," "upgrade modal," "upsell," "feature gate," "convert free to paid," "freemium conversion," "trial expiration screen," "limit reached screen," "plan upgrade prompt," or "in-app pricing." Distinct from public pricing pages (see page-cro) — this skill focuses on in-product upgrade moments where the user has already experienced value.
Identify programmatic SEO page patterns worth building for your product — vs/ pages, integrations/, for-{industry}/, alternatives-to/, use-cases/ — and design the template structure, data model, and priority order. Outputs a complete pSEO blueprint with URL patterns, title templates, content frameworks, and data sources per variable.
Write winning proposals and quotes for a solopreneur business. Use when putting together a proposal for a potential client, structuring a sales document, pricing a project scope, or improving proposal win rates. Covers proposal structure, scoping, pricing presentation, objection pre-emption, and the psychology of persuasive proposals. Trigger on "write a proposal", "proposal template", "sales proposal", "quote for client", "how to structure a proposal", "proposal writing", "win more proposals", "client proposal".
Produce a Reddit-native 1:1 or 4:5 launch video using HyperFrames. Idiomatic Reddit feel — text-first, low-polish, sound-off, subreddit-aware. Optionally hand off to Reddit Ads to launch as a promoted post targeted to specific subreddits.
Use this skill to analyze product reviews, find common issues, and prioritize improvements. Triggers: "analyze reviews", "review analysis", "customer feedback", "what are people saying", "product reviews", "review sentiment", "find complaints", "customer complaints", "improvement recommendations", "voice of customer", "VOC analysis", "feedback analysis" Outputs: Prioritized issues, sentiment analysis, improvement recommendations.
Woodpecker.co platform help — cold email campaigns, condition-based sequences, email warmup, Bounce Shield, Adaptive Sending, email verification, inbox rotation, centralized inbox, LinkedIn automation, Lead Finder, agency panel, API, webhooks, MCP Server, and CLI. Use when Woodpecker emails are landing in spam, campaign open rates are dropping, you're not sure how to set up condition-based sequences, warmup isn't improving deliverability, the agency panel isn't isolating client data properly, or Woodpecker sending has stopped unexpectedly. Do NOT use for general outbound cadence strategy (use /sales-cadence), cross-platform email deliverability (use /sales-deliverability), email tracking strategy (use /sales-email-tracking), building prospect lists (use /sales-prospect-list), or connecting Woodpecker to other tools via Zapier (use /sales-integration).
Use when the user wants to retrieve Twilio SendGrid global email statistics with GET /v3/stats. Supports start/end date ranges, day/week/month aggregation, limit/offset pagination, parent-account on-behalf-of lookups for subusers or customer accounts, global or EU SendGrid API base URLs, dry-run URL preview, and saved SendGrid API key reuse. Do not use for sending email or Email Logs status lookup.
SEO and AEO (Answer Engine Optimization) best practices including EEAT principles, structured data, and technical SEO. Use when implementing metadata, sitemaps, structured data, or optimizing content for search engines and AI assistants.
Grow organic search traffic for a product or local-business site from a .seo workspace. Use for an SEO review, deciding what to build or fix next for search, a traffic drop, AI-search visibility ("how do we show up in ChatGPT"), setting up SEO, or the monthly SEO scoreboard.
Interview a founder or senior marketer one question at a time, mine current work and owned proof for net-new short-form video ideas, and return a ranked table with one five-second overlay hook, virality and three-second-hook scores, exactly three talking bullets, a complete payoff, and a mapped CTA. Use for Instagram Reels, TikTok, YouTube Shorts, LinkedIn video, founder-led content planning, hook development, content-day production queues, or turning active AI, marketing, and operating work into credible short-form concepts.
Detect and prioritize buying-intent signals (funding, hiring, tech changes, job changes, news) and map each to a concrete ColdIQ marketplace endpoint. Use when deciding which intent signals to track for a client, sourcing funding/hiring/acquisition/job-change signals, scoring accounts by signal strength, deciding outreach timing from signal freshness, or stacking signals. Triggers on "intent signals", "buying signals", "trigger events", "funding signal", "hiring signal", "job change", "tech stack change", "signal detection", "when to reach out", "signal stacking". Do NOT use for writing the copy that references the signal (see crawford-method / cold-email-copy), list scoring math (see tam-scoring), or generic search (see coldiq-search-enrich).
Audit Amazon product listing images for non-square dimensions, auto-pad them to 2000×2000 white background, and push corrected images to live listings via SP-API. Works with any marketplace and seller account.
When the user wants to optimize slotting fees, negotiate trade terms with retailers, plan new product introductions, or manage retail shelf space economics. Also use when the user mentions "slotting allowances," "shelf placement fees," "new item setup fees," "retail listing fees," "pay-to-stay," or "category management fees." For promotional planning, see promotional-planning. For retail replenishment, see retail-replenishment.
Analyze 3–10 writing samples the user provides — LinkedIn posts, X (Twitter) threads, emails, blog posts — and distill how they actually write: sentence length, rhythm, vocabulary, punctuation and emoji habits, openers, sign-offs, and humor register. The output is a set of concrete, checkable voice rules written into the "## Voice" section of social-context.md, the file every skill in this collection reads for brand voice and setup. Use when the user says "learn my voice", "write like me", "match my tone", or "analyze my writing style". Includes a verification round: a rewritten sample the user judges as "sounds like me" before the rules are saved.
Create an Extruct company table from user-provided data, upload rows, and optionally add enrichment columns. Handles the full flow: parse input (CSV, pasted list, or structured data), create or reuse a table, upload domains in batches, add agent columns, and trigger enrichment. Triggers on: "create table", "upload companies", "add to extruct", "new extruct table", "import companies", "upload list to extruct".
Run the mandatory readiness gate for every ThreadWave Twitter/X workflow: require the update skill, confirm every release-index roster skill's individual version through GitHub, offer supported-version continuation, run approved skill and CLI updates as separate component-scoped flows through the canonical setup guide, verify the tw CLI and supported contracts, check the Chrome extension/setup relay, preserve the original request, and route sanitized failures to threadwave-error-support. Use before twitter-automation, twitter-agent, twitter-post, or twitter-reply, and for ThreadWave setup, update, readiness, dependency, or repair requests.
Create and review one-to-five Twitter/X post tasks through ThreadWave, or publish one exact final user-supplied post through a strict dry-run and approval flow. Use for create tweets, write several posts, batch tweet tasks, post about a topic, manual tweet work, post this exact text, send a tweet, or publish on Twitter/X. Do not use for replies or the daily strategy/plan loop.
Create, review, and monitor five-to-ten Twitter/X reply tasks with target discovery through ThreadWave, retry one conclusively undispatched reviewed reply through a fresh exact-action flow, or send one exact final reply to one exact target through a strict dry-run and approval flow. Use for create replies, retry failed replies, reply to several posts, batch reply tasks, engage with posts about a topic, manual Twitter replies, or reply to this exact tweet with this exact text. Do not use for original posts or the daily strategy/plan loop.
Analyze a short-form video (TikTok, Instagram Reel, or any MP4) to extract its full transcript, understand why it performed, and generate concrete repurposing ideas. Use this skill whenever the user asks to: analyze a video, understand why something went viral, reverse-engineer a creator's content, extract a transcript from a video, figure out what makes a video perform, or get repurposing ideas from a video. Also trigger when the user says things like "why did this perform", "what's the hook here", "can I repurpose this", "analyze this TikTok", or drops a video file path or URL.
Finds what over-performs in the creator's niche and writes it to video-agent/swipe.md. Use when the user asks what goes viral, viral hooks, what works in my niche, competitor research, swipe file, outliers, my best videos, my stats, or "find hooks that work". Scores recent Shorts from 10 to 12 accounts against each account's median (YouTube free with yt-dlp; TikTok, Instagram and their own stats through Treg), pulls the first 3 seconds of each outlier and tags the hook formula so video-script reuses the shape, never the words.
Turn a brand angle into a finished Vox-style paper-collage explainer ad on the Advibly MCP. Approve a narrative beat map and visual theme, generate layered collage-poster keyframes, animate living paper motion with Gemini Omni Flash, then compose narration, music, and SFX. Supports baked headlines, photoreal product cutouts, assemble-from-empty reveals, confetti, impact shake, and editorial collage motion. Trigger for "Vox style video", "paper collage animation", "motion collage", "collage explainer", "collage ad", "paper collage explainer", "make a collage ad", "explainer video for my product", or a reference with the editorial torn-paper look. Use even without the word "skill" when that style is clearly requested.
Benchmark account matching tool for WeChat Official Account creators, recommending benchmark and top accounts based on a three-layer weighted matching system (core foundation 40% + operations and monetization 35% + data characteristics 25%). Use when the user needs WeChat Official Account recommendations, benchmark accounts, account launch references, or account placement choices. Trigger words: 公众号对标, 相似账号, 对标推荐, 起号参考, 账号匹配.
WeChat official account title generation and evaluation skill. Based on a confirmed topic, outline, and target readers, generate 8 title candidates, filter out low-quality titles, and recommend the 1 title most worth publishing. Applies at the titling stage before or after writing; does not cover the body text.
X/Twitter Content Specialist. Writes X-native posts — hooks, threads, and standalone tweets optimised for the platform. Strictly enforces the 280 character limit with a count on every post. Supports standalone tweets and X threads (1/ format). Reads brand-style.md and content-calendar.md. Optional X trend research via Tasty Content MCP. Output to outputs/x/.
YouTube video comment analysis tool. Enter a video link to get comment data, with paging for further lookup and four-dimension sentiment analysis (positive / negative / needs / competitors), giving a quick full picture of user feedback under any video. Use when the user needs to view YouTube video comments, analyze a video's public sentiment, or understand user feedback. Trigger words: YouTube comments, comments, video comments, comment lookup, comment analysis, comment sentiment, read comments, youtube comments, YT comments.
Write a high-retention YouTube script — explainer, tutorial, video essay, review, or talking head — on the packaging then cold-open then value-stack then retention structure that holds watch time past the drop-off cliffs. Use when asked to write a YouTube script, script a long-form or explainer video, draft a video hook, outline a video essay, or turn a blog post or talk into a video. Produces title and thumbnail concepts, multiple hook options, a beat-by-beat body with retention devices, and clear visual and audio cues.
Builds a filtered, scored account list from job-posting signals — pulls postings from ATS career sites via Apify, strips the two thirds of results that are agencies, government and universities, and scores every surviving company. Use when the user says "збери список", "прospect list", "build the account list", "знайди компанії за сигналом", "who is hiring for X", or needs accounts before enrichment. Requires an Apify connection.
Build matched ad audiences (LinkedIn/Meta/Google) and ABM target lists from your prospect data, and use ad engagement as outbound triggers — through the ColdIQ marketplace. Use when turning a target list into a hashed-email matched audience for ads, building ABM company/contact lists, setting up exclusions, coordinating ads with outbound (ad engagement → sales trigger), or resolving identities for ad targeting. Triggers on "ad audience", "matched audience", "hashed email", "LinkedIn audience", "ABM list", "retargeting", "exclusion list", "ads + outbound", "ad engagement trigger", "multi-channel ABM", "company list for ads". Do NOT use for ad creative, bidding, or campaign-manager setup (platform-specific, no ColdIQ endpoint), or for email-sending campaigns (see instantly-api).
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.