Top Agent Skills

Automate Anthropic Admin tasks including API keys, usage, workspaces, and organization management via Composio's Anthropic Admin toolkit and Rube MCP.

Automates Google Address Validation tasks via Composio's toolkit and Rube MCP, including tool discovery, connection management, and execution.

Automates Salesforce Marketing Cloud operations through Composio's toolkit via Rube MCP, including tool discovery, connection management, and workflow execution.

Automate Cloudflare Browser Rendering tasks through Composio's toolkit via Rube MCP, with tool discovery and connection management.

Builds authentic-looking Reddit accounts through a 30-day progression and uses them to promote brands. Manages state files locally and uses browser-act CLI for all Reddit-facing operations.

Extract paginated TikTok video search results for a given keyword, including author details, engagement stats, music info, and video metadata.

Extract a TikTok user's profile info and paginated video list with full metadata by navigating to their profile page.

Chat with your agent about projects, recommendations, and canonical papers in Paperzilla. Fetch feeds, read papers, leave feedback, and export data using the pz CLI.

Compares 2-5 stocks or options across GBM Five Pillars scores, options metrics, technicals, and valuations, highlighting winners per category and providing an overall recommendation.

Monitor a list of tickers for key changes in price, IV rank, unusual activity, earnings dates, and score changes. Supports custom watchlists and a default hot options list.

Diagnose Sentry issues without copy-pasting stack traces. Uses the Composio CLI to pull issue details, events, breadcrumbs, and suspect commits, then maps the frames to local source so the agent can propose a fix directly.

Process meeting transcripts or rough notes into structured summaries with decisions, risks, and owner-tagged action items.

Generate high-quality speech from text using ElevenLabs' premium voices, with support for 32 languages, multiple models, and voice tuning parameters.

Render videos from React/Remotion component code via inference.sh CLI. Pass TSX code, get MP4 output with configurable resolution, FPS, duration, and codec.

Generate original music from text prompts using ElevenLabs AI, with control over genre, mood, instruments, and duration up to 10 minutes.

Generate images with Alibaba Qwen-Image-2.0-Pro via inference.sh CLI, with professional text rendering and fine-grained realism for posters, banners, and text-heavy designs.

Create data-backed customer personas with market research, demographics, psychographics, jobs-to-be-done, journey mapping, and avatar generation.

Repurpose long-form content into multiple formats including social media posts, newsletters, videos, and quote cards using the inference.sh CLI.

Optimize Product Hunt launches with research, gallery image generation, and a day-of playbook.

Write professional press releases in AP style with inverted pyramid structure, including formatting, datelines, quotes, boilerplates, and fact-checking via the inference.sh CLI.

Write high-engagement Twitter/X threads with hook tweets, structured content, media attachments, and posting strategies.

Identify what to measure, test, or track to de-risk a product or AI idea across internal and external risk dimensions.

Detect prompt injections and jailbreak attempts in LLM applications using Meta's 86M parameter classifier. Filter user inputs, third-party data, and RAG documents with low latency and multilingual support.

Train AI models to be harmless through self-critique and AI feedback using a set of constitutional principles, without requiring human labels for harmful outputs.

Manage Convex table retention policies, TTL fields, cleanup crons, and schema classification for ClawHub.

Designs efficient design team workflows covering task management, collaboration rituals, communication norms, tooling, and design-development collaboration.

Audits colour decisions on a screen for contrast ratios, palette coherence, semantic meaning, and accessibility, flagging deviations and recommending specific corrections.

Audits typographic decisions on a screen for scale usage, readability, consistency, and token compliance, providing specific fixes.

Specify micro-interactions using a structured framework covering trigger, rules, feedback, and loops/modes.

Evaluate a screen's information density by analyzing cognitive load, content prioritization, scanning patterns, and progressive disclosure, with actionable fixes for each dimension.

Generate a sequence of keyframe images from a story premise using the MuAPI image generation service.

Combine a person's photo and a clothing item to virtually try on outfits, with an option to generate a professional fashion model video.

Turns a product photo into a cinematic video advertisement using AI rendering and animation.

Generates a Pixar-style 3D cartoon character from a photo and animates it with a reference dance video using the MuAPI platform.

Build web interfaces that fuse Swiss typographic design with military terminal aesthetics, using rigid grids, extreme type scale contrast, utilitarian color, and analog degradation effects for data-heavy dashboards, portfolios, or editorial sites.

Audits Apple Ads campaigns, including AdServices, AdAttributionKit, keyword structure, Search Match, placements, bidding, budgets, MMP reconciliation, and policy compliance.

Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms.

Breaks down technical topics into plain-English explanations covering who, what, where, why, and when.

Diagnoses why someone knows what to do but doesn't do it, using Adlerian psychology to identify root causes like procrastination, perfectionism, or avoidance.

Diagnoses whether a user's current approach is trading short-term speed for long-term pain, and recommends slower methods that build compoundable assets through friction.

Transforms fuzzy problems into structured briefs that AI agents can reason about, critique, and act upon, while evaluating how much of the problem can be automated.

Map and organize unwanted calls, texts, or emails after a U.S. senior-care referral inquiry by using GeezerKeeper's live public MCP for current network exit routes, separate provider jobs, unfilled request templates, duplicate-referral deadline facts, and current free or paid workflow fit. Use when a person asks why a senior-care marketplace or several providers are contacting them, how to opt out, how to prepare a stop-contact request, how to compare inquiry consequences before submitting a form, or how a senior-living professional should track direct-versus-network referrals. Do not use for emergencies, care placement, legal or medical advice, automatic sending, unknown-caller identity claims, or transmitting personal information.

Decide whether a request that claims to be GPTBot, ClaudeBot, Googlebot or another named crawler really came from that operator, by checking the client address against the operator's own published IP ranges - and find out which operators publish no ranges at all, where a miss proves nothing. Use before blocking, allowlisting or rate-limiting traffic on the strength of a user-agent header.

Write or audit the AI section of a robots.txt: start from a ready-made policy (block AI training but keep AI search, block everything, maximum AI visibility), lint an existing file for rules that do not do what their author thinks, and check whether a named crawler may fetch a given path. Use when editing robots.txt for AI bots or reviewing one in a pull request.

Generate patent-office-compliant figures with the official PatentFig AI API, including patent line art, numbered figures, vectorization, enhancement, and filing-ready output.

Reduce churn with cancellation flows, save offers, and win-back campaigns.

Design and optimize revenue operations, including lead lifecycle rules, scoring, routing, handoffs, and CRM process automation for marketing, sales, and customer success alignment.

Automates job search, auto-apply, resume generation, application tracking, salary intelligence, and recruiter outreach via the JobGPT MCP server.

Write platform-native paid ad copy with multiple angles to test. Use when asked to write ad copy, Google/Facebook/LinkedIn/Instagram ads, PPC headlines, or paid social creative copy. Produces ready-to-ship variants per platform (headlines, primary text, descriptions, CTAs) across distinct angles, sized to each platform's limits, with a note on what each variant tests.

Compare the total cost of car ownership across buy-new, buy-used, lease, and keep-your-current-car — depreciation, insurance, maintenance ramp, and fuel over a real horizon, not just the monthly payment. Use when asked should I lease or buy a car, is it cheaper to keep my old car, what does this car really cost per month, or new vs used total cost. Produces the ranked scenario totals, per-month true cost, the assumption ledger, and the not-modeled list.

Keep a running brag document of your accomplishments so reviews and promo cases write themselves. Use when asked to start or update a brag doc, log a win, track accomplishments, or prep evidence for a review/promotion. Produces a structured, dated accomplishment log — impact-first entries with metrics, scope, and the evidence link — grouped so it drops straight into a self-review or promo packet.

Build a Quarterly Business Review (QBR) deck structure and narrative for a customer account. Use when asked to prepare a QBR, business review meeting, executive review, or quarterly check-in with a customer. Produces a slide-by-slide QBR structure with talking points, metrics review, value narrative, and mutual next steps.

Navigate a codebase by map instead of reading files wholesale — a deterministic stdlib script that emits the tree with line counts and top-level symbols, plus the read-the-map-first discipline that cuts exploration tokens by an order of magnitude. Use when asked explore this repo efficiently, stop re-reading the whole codebase, make a map of this project, or which files should the agent actually open. Produces the compact map with its token math (map vs. everything), the navigation discipline, and the open-only-what-matches rule.

Compare an EV against a comparable gas car on total cost — upfront gap after incentives, energy vs fuel per year, maintenance delta, and the crossover year when the EV pulls ahead (or doesn't). Use when asked is an EV worth it, EV vs gas total cost, when does an EV pay for itself, or should my next car be electric. Produces the year-by-year cumulative comparison from the script, the crossover year, the per-mile energy math, and the honest not-modeled list.

Look up IP addresses and your own public IP with zero API keys — geolocation, ISP/ASN, and hosting flags via ip-api.com and ipify through curl. Use when asked what's my public IP, where is this IP from, whose network is this address, or is this IP a VPN/datacenter. Produces the lookup with ISP, ASN, and location fields interpreted honestly (city-level accuracy caveats included), and the rerunnable command.

Distil anything — a startup, product, project, or idea — into a single persuasive page. Use when asked to make a one-pager, a one-page summary, a leave-behind, a startup/product one-sheet, or a tl;dr brief. Produces a structured single page — headline + tagline, the problem, the solution, why-now/proof, and a clear ask/CTA — designed to be skimmed and remembered, ready to export as a typeset PDF.

Turn a team or reporting structure into a clean org chart. Use when asked to draw an org chart, show reporting lines, visualize team structure, or map who reports to whom. Produces a ready-to-render Mermaid org chart (renders live, exportable as PNG/SVG) plus headcount notes and any structural observations.

Structure a clinical encounter into a clean SOAP note. Use when asked to write a SOAP note, document a patient encounter, turn visit notes into clinical documentation, or structure subjective/objective/assessment/plan. Produces a well-organised SOAP note — Subjective, Objective, Assessment (with differential), and Plan — from the provided encounter details, in standard clinical-documentation style.

Specify an autonomous or tool-using AI agent before building it. Use when asked to design an AI agent, define an agent's tools and guardrails, scope what an agent is allowed to do, or write an agent spec/PRD. Produces an agent spec — goal & scope, tools with permissions, the control loop, guardrails & approval gates, memory, escalation/handoff, evaluation, and failure handling.

Write a clear, reproducible bug report that gets fixed fast. Use when asked to write a bug report, file a defect, report an issue, or turn 'it's broken' into an actionable ticket. Produces a structured report — a precise title, steps to reproduce, expected vs. actual, environment, severity/priority, and evidence — so a developer can reproduce and fix it without a back-and-forth.