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Found 9,583 Skills
Unified requirement clarification to prevent downstream implementation churn by resolving ambiguity early. Default: research-first with autonomous decision-making and persistent questioning. --light: direct iterative Q&A. Triggers: "cwf:clarify", "clarify this", "refine requirements"
Collect Clay debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Clay problems. Trigger with phrases like "clay debug", "clay support bundle", "collect clay logs", "clay diagnostic".
Create a minimal working Evernote example. Use when starting a new Evernote integration, testing your setup, or learning basic Evernote API patterns. Trigger with phrases like "evernote hello world", "evernote example", "evernote quick start", "simple evernote code", "create first note".
Execute Clay production deployment checklist and rollback procedures. Use when deploying Clay integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "clay production", "deploy clay", "clay go-live", "clay launch checklist".
Write ML experiment code with iterative improvement. Generate training/evaluation pipelines, debug errors, and optimize results through code reflection. Use when implementing experiments for a research paper.
Optimize Evernote integration performance. Use when improving response times, reducing API calls, or scaling Evernote integrations. Trigger with phrases like "evernote performance", "optimize evernote", "evernote speed", "evernote caching".
Convert an ML research paper into a complete, runnable code repository. 3-stage pipeline from Paper2Code — Planning (UML + dependency graph) → Analysis (per-file logic) → Coding (dependency-ordered generation). Use for reproducing paper methods.
Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement. Based on AutoSurvey pipeline. Use for writing comprehensive literature surveys.
Python code quality with ruff linter. Fast linting, rule selection, auto-fixing, and configuration. Use when checking Python code quality, enforcing standards, or finding bugs.
State machines using Spatie Model States for complex state transitions. Use when working with complex state management, state transitions, or when user mentions state machines, Spatie Model States, state transitions, transition validation.
Android security patterns for secure storage, network security, input validation, and authentication.
. Use when managing application state.