18.3K skills · sorted by relevance
Carry out reviewed pull request plans, apply approved fixes, and preserve contributor credit. Validate the exact changes being merged, merge only explicitly authorized groups, and keep items on hold when required checks fail or remain unknown.
Audit website redirects after URL migrations, domain changes, or CMS upgrades. Record each redirect path and HTTP status code, identify unnecessary steps or loops, and update redirects to point directly to the final destination.
Audit canonical URLs, which tell search engines the preferred page address, for redirects. The skill checks rendered HTML and HTTP responses, identifies affected routes or templates, and guides updates that point directly to the final URL returning 200 OK.
Audit whether author profiles clearly present relevant experience, qualifications, and professional links. Review rendered pages, metadata, structured data, and HTTP responses to identify specific places where author expertise needs clearer presentation and explain how to verify improvements.
Build Bayesian models in PyMC to estimate effects and quantify uncertainty. Fit regression or hierarchical models, check sampling diagnostics, assess predictions against observed data, predict new groups, and compare models using predictive performance.
Predict spatial gene expression from H&E-stained tissue images using DeepSpot-M. Query a released panel of about 19,000 genes and combine predictions from small image tiles into slide-wide maps for research analysis.
Investigate Windows secrets protected by DPAPI, a system for encrypting sensitive data, in a CTF sandbox. Trace the required keys and account context through decryption, then verify which service accepts the recovered secret.
Prepare raw credit data for pre-loan modeling by checking data quality and screening variables. Review missing values, predictive usefulness, stability, noise, and correlation, then export an Excel report with organization-level statistics and cleaning results.
Monitor requests to an AI prediction API for signs of model copying or training-data exposure. Test an authorized model with simulated attacks, measure the risk, and evaluate defenses such as request limits and reduced prediction detail.
Investigate compromised credentials across AWS, Azure, and GCP by correlating security alerts and audit logs. Examines unusual API activity and suspicious sign-ins, helps assess the affected scope, and guides containment actions such as disabling keys and revoking sessions.
Design and create custom cloud controls and frameworks for Google Cloud data boundary requirements that existing resources cannot meet. Receive prepared configuration fields for manual setup, or approve creation through the agent.
Find user-configured API keys and tokens by listing their names and descriptions, then retrieve a chosen value for scripts. Helps use credentials in API calls or authentication without embedding them directly in code.
Organize red team exercises that simulate adversaries to assess an organization's detection and response. Covers engagement rules, infrastructure, operational controls, evidence handling, and reports that help security teams review gaps and prioritize improvements.
Create and manage prediction markets on Solana, where participants trade YES or NO outcome tokens. Support includes direct peer bets, social media metrics, custom result authorities, market settlement, and redemption of winning positions.
Retrieve shared reference files and send work in progress using local shared paths. The skill also guides missing-file checks and distinguishes manual file transfers from synchronization already handled by task acceptance and submission.
Review git and gh operations in gh-aw workflows to check credential availability for each repository. Identify missing token handoffs, risky expansions of limited checkouts, and error handling needed where credentials are intentionally unavailable.
Assess what discovered cloud credentials allow across AWS, Azure, GCP, and Kubernetes. The skill guides identity checks, permission review, and paths to higher privileges, then helps document impact, activity, and cleanup within the engagement's agreed scope.
Interpret statistical models in R and Python using predictions, comparisons, and marginal effects, which describe how outcomes change with predictors. Get guidance on choosing quantities, evaluating scenarios, summarizing groups, measuring uncertainty, and testing hypotheses.
Build a credit history from zero in a new country — understand that credit doesn't transfer across borders, get the first products that report, avoid the newcomer traps, and reach a usable score in months not years. Use when someone says 'I have no credit history in [country]', 'build credit as a newcomer/immigrant', 'why was I rejected with a great score back home', or 'how do I get a credit card/loan as a new arrival'. Produces a credit-building plan, the starter products that report, a timeline, and the traps to avoid. Educational, not financial advice; routes to official credit sources.
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When the user wants to set up, optimize, or manage Reddit Ads. Also use when the user mentions "Reddit Ads," "Promoted Posts," "subreddit targeting," "Reddit advertising," or "Reddit communities." For organic Reddit, use reddit-posts.
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Work with the Upstash Redis JavaScript/TypeScript SDK for serverless Redis operations. Use for caching, session storage, rate limiting, leaderboards, full-text search (querying, filtering, aggregating with @upstash/redis search extension), and all Redis data structures. Supports automatic serialization/deserialization of JavaScript types. Search also available via @upstash/search-redis and @upstash/search-ioredis adapters for TCP clients.
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Use this skill only for Volcengine Redis cloud resource operations, including querying, inspecting, creating, or managing Volcengine Redis instances and related cloud resources. Trigger it when the user mentions Volcengine Redis, Volcengine Redis instances, Volcengine Redis inventory/detail lookup, Volcengine Redis operational metadata, or Volcengine Redis MCP/OpenAPI access.
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Boltz-1 / Boltz-2 structure prediction for proteins, complexes, and ligand-aware validation. Use this skill when: (1) Predicting protein complex structures, (2) Validating designed binders, (3) Need open-source alternative to AF2, (4) Predicting protein-ligand complexes, (5) Using local GPU resources. For QC thresholds, use protein-design-qc. For AlphaFold2 prediction, use alphafold2-multimer. For Chai prediction, use chai1-structure-prediction.
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Draft, review, and refactor Reddit comments for any company by providing a domain URL and a Reddit thread. Dynamically extracts product knowledge, approved terminology, voice and tone, and positioning guidelines from the domain before writing. Use this skill whenever the user provides a domain and a Reddit thread and asks to write, draft, review, or refactor a Reddit comment or engagement reply. Trigger on inputs like "Domain: [url] Thread: [url or paste]", "write a Reddit comment for this domain", "draft an engagement for this thread", or any variation where a company URL and a Reddit thread are both provided. Always use this skill — never write Reddit comments for a domain without following this full workflow.
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