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Assess API business workflows for flaws that automated scanners can miss. The skill examines skipped steps, simultaneous transactions, authentication tokens, GraphQL, and webhooks, helping testers document weaknesses and their financial or operational impact during authorized assessments.
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Plan stakeholder conversations before retiring a product or feature. Get an ordered sequence of meetings, with questions, commitments, warning signs, and required outcomes, adjusted to the scale and complexity of the retirement.
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Choose a sales approach based on product price, complexity, and buyer needs. This skill helps plan self-service trials, human sales involvement, and experiences that let prospects recognize value before purchasing.
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Guide an AI agent through code changes with explicit assumptions, simple implementations, focused edits, and testable goals. Use it for bug fixes, features, refactoring, or reviews to reduce guesswork and unnecessary changes.
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Choose a visual direction for landing pages using WebGL, a browser graphics technology. Balance brand style with readable copy, clear calls to action, mobile performance, accessibility, and implementation effort, then define fallbacks and build priorities.
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Work through repeated failed fixes or difficult technical choices using five perspectives: practical action, missing information, simplification, architecture, and challenged assumptions. Compare alternatives and disagreements, then receive a recommendation while keeping the final decision with the user.
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Analyze files or modules for duplicated code, excessive complexity, and violations of SOLID, five software design principles. Get prioritized refactoring suggestions with affected locations, risks, estimated effort, and testing needs to guide code improvements.
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Simplify cluttered interfaces by reviewing information, visual styling, interactions, copy, and code. Keep essential functionality and accessibility while clarifying the main action, consolidating related elements, and revealing secondary details only when needed.
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Design modules that expose simple interfaces while hiding substantial behavior. Use shared terms and principles to assess interface complexity, decide where behavior can be swapped, and organize code so callers and tests use the same interface.
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Explore a codebase to find tightly coupled or fragmented modules, then compare interface designs that hide complexity behind simpler entry points. Produces a GitHub issue proposing a refactor, including dependency handling, testing impact, and design trade-offs.
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Create background workers that analyze code, detect exposed secrets, learn code patterns, or generate API documentation. Combine predefined processing stages or start from presets, configure target files in YAML, and inspect worker status and analysis results.
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Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
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Look up current research information using Perplexity's Sonar Pro Search or Sonar Reasoning Pro models through OpenRouter. Automatically selects the best model based on query complexity. Search academic papers, recent studies, technical documentation, and general research information with citations.
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Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
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Medicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.
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Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity, complexity, and risk management. No API key or registration required. Use when working with hedge fund data, systemic risk monitoring, financial stability research, hedge fund leverage or leverage ratios, counterparty concentration, Form PF statistics, repo market data, or OFR financial research data.
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Apply John Ousterhout-inspired software design rules when reducing complexity, designing module boundaries, or reviewing APIs and abstractions.
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Quality control metrics for ATAC-seq data including fragment size distribution, TSS enrichment, FRiP, and library complexity. Use when assessing ATAC-seq library quality before or after peak calling to identify problematic samples.
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ChIP-seq quality control metrics including FRiP (Fraction of Reads in Peaks), cross-correlation analysis (NSC/RSC), library complexity, and IDR (Irreproducibility Discovery Rate) for replicate concordance. Use to assess experiment quality before downstream analysis. Use when assessing ChIP-seq data quality metrics.
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Model selection by provider health, not task complexity. Tier 0 (local) handles most tasks. Paid models are break-glass only. Fallbacks activate on 429 or timeout — never on perceived task difficulty.
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Reviews code diffs and files for security vulnerabilities (OWASP Top 10), error handling, complexity, naming conventions, and performance issues. Use when the user asks to review a PR, pull request, diff, merge request, or code changes.
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Apply Tesler's Law — every process has irreducible complexity that someone must absorb. Use when deciding whether the product or the user carries it. For reducing apparent choice, use `hicks-law`.
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Guides an end-to-end data-warehouse migration to Amazon Redshift — discovery, schema/SQL/stored-procedure/macro/script conversion, data migration, validation, performance comparison, and reporting. Source-routed via `references/<source>/`; Teradata (Vantage) is the supported source; additional sources are added as their own `references/<source>/` sets. Text-only knowledge (no executable code) — the AI generates all execution at runtime. Applies when a user wants to migrate Teradata to Amazon Redshift, convert Teradata DDL/SQL/stored procedures/macros/BTEQ to Redshift/RSQL, or assess Teradata-to-Redshift migration complexity. Applies only to migrations targeting Amazon Redshift; migrations to other platforms (Snowflake, BigQuery, Databricks, etc.) are out of scope regardless of source. Does not cover general Redshift administration, performance tuning, or troubleshooting of existing Redshift clusters (no migration involved), or sources not listed under references/.
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Analyze and reduce avoidable Attio integration cost and load by measuring request volume, query complexity, synchronization churn, and retained data before changing architecture. Use when an Attio workload is wasteful or operationally expensive. Trigger with "Attio cost", "reduce Attio API usage", or "Attio sync efficiency".
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