2.3K skills · sorted by relevance
Organize repeated experiments to improve models, prompts, or agent systems against measurable goals. The skill records hypotheses and lessons in a persistent tree, isolates trials, and compares promising candidates using evaluation data kept separate from development.
Use Fictiv in a browser to upload CAD parts, configure manufacturing requirements, compare prices and lead times, and review manufacturability feedback. Supports authorized ordering, payment workflows, order tracking, reordering, and troubleshooting upload or checkout problems.
Convert genomic positions between file conventions, standardize variant representations, and check reference genome or chromosome naming conflicts. The skill helps investigate one-base shifts and compare individual variants against a reference sequence before combining analysis files.
Create reusable agent skills or improve existing ones through test prompts and user feedback. Compare output quality, execution time, and token usage against a baseline, then refine instructions and descriptions so the skill is invoked in appropriate situations.
Develop and verify changes in a tracked Cherry Studio Electron instance, a running desktop app. Use real UI behavior, logs, and performance measurements to investigate problems, compare fixes, or test a pull request and report the results.
Carry context between scheduled or event-triggered routine runs using Hindsight memory. Add recall and recording steps to routine instructions so each run can use previous findings, resume unfinished work, compare changes, and leave guidance for the next run.
Search and export public LinkedIn job postings without a LinkedIn login. Gather available salary, seniority, recruiter and company details, compare hiring activity, and organize results by role, location or posting date.
Maintain legacy Java code that uses the deprecated Azure Communication CallingServer SDK. Compare old and replacement dependencies, client classes, and recording examples to plan a migration to Call Automation and identify APIs needing verification.
Collect competitor data from Google Maps, Booking.com, and social or video platforms using Apify Actors, data extraction tools. Compare content, ads, reviews, pricing, and audience metrics, then receive structured results and strategic takeaways.
Collect product details, prices, stock information, and customer reviews from supported online stores using Apify. Compare competitors, examine recurring quality complaints, discover sellers through Google Shopping, and export results as CSV or JSON.
Build vector search that considers both semantic similarity and patterns in how items connect. Use graph features to explore structure in embeddings, numerical representations of content, and compare retrieval results with conventional similarity search.
Inspect local AI coding session logs with agenttrace to identify cost spikes, delays, failed tools, and retry loops. Produce readable reports, compare attempts, and configure automated checks for unusual or unhealthy runs.
Compare agent, prompt, or tool configuration changes using versioned test cases and explicit outcome checks. Record each attempt, distinguish agent failures from evaluation or infrastructure problems, and report regressions, permission violations, and uncertainty.
Find AAS skills for a stated task and compare their full instructions and supporting files before installation. Review each candidate’s fit, setup requirements, provenance, risks, and limitations using the bundled local catalog.
Compare AAS skills against a project's capabilities, then record the chosen combination as a validated stack manifest. Inspect the result, identify catalog gaps, and optionally export evidence documenting the selection process.
Plan A/B tests to compare page or messaging changes. Helps define hypotheses, choose success metrics, estimate sample sizes, allocate traffic, and interpret results, while also organizing a repeatable process for prioritizing and documenting experiments.
Build repeatable evaluations for AI agent responses, tool choices, and multi-step tasks. Use reference datasets and scoring criteria to compare changes, detect quality regressions, and set automated checks that must pass before deployment.
Assess Airflow Improvement Proposals by comparing Confluence specifications with pull requests, commits, and codebase files. Produce evidence-backed progress reports showing delivered items, remaining work, and specification updates needed across one or more proposals.
Evaluate job offers by separating guaranteed pay, conditional bonuses, and estimated equity value. Compare terms, develop an evidence-based counteroffer, draft emails and call scripts, rehearse recruiter conversations, and prepare deadline extensions, acceptance, or decline messages.
Use natural language to compare Binance P2P offers, prices, and payment methods. Review personal orders and dispute progress, submit evidence for existing appeals, and manage advertisements when the account has the required merchant permissions.
Find ranked crypto tokens and trader addresses by social buzz, search popularity, capital inflows, or trading profit and loss. Compare results across supported blockchains, with time windows and filters available for relevant rankings.
Look up Ondo tokens representing US stocks through Binance Web3. Retrieve prices, holder counts, company details, trading restrictions, and candlestick data, and compare token prices with underlying stock prices while accounting for shares represented by each token.
Retrieve individual buy and sell signals from tracked investor wallets on BSC and Solana. Compare prices at detection with current prices, review maximum gains and exit rates, and check whether signals remain active.
Explore World Cup match predictions, related news, and market probabilities. Adjust model factors to compare possible outcomes, then optionally hand off to Binance Agentic Wallet for prediction-market trading, where orders require an explicit choice and confirmation.