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Found 2,234 Skills
This skill is used when users explicitly request "review NSFC proposals", "simulate expert review", or "evaluate NSFC applications". It simulates the perspective of domain experts to conduct multi-dimensional reviews of NSFC proposals, outputting graded issues and actionable modification suggestions. ⚠️ Not applicable: when users only want to write/modify a specific section of a proposal (use the nsfc-*-writer series skills instead), only want to understand review criteria (answer directly), or have no clear "review/evaluate" intent.
Use when optimizing a Roblox game for better frame rates, reducing lag, improving server or client performance, diagnosing FPS drops, handling large worlds, or when asked about streaming, draw calls, object pooling, LOD, MicroProfiler, or expensive loop operations.
Tests Blazor components. bUnit rendering, events, cascading params, JS interop mocking.
Based on the content of NSFC proposal text and combined with the application code recommendation library, provide you with 5 sets of recommended primary/secondary application codes (Code 1/Code 2) with justifications; output to NSFC-CODE-vYYYYMMDDHHmm.md (read-only, no modification to the proposal)
Implement art direction for Next.js images using getImageProps(). Use when showing different images for different viewport sizes, such as homepage carousels with mobile vs desktop assets, different cropping/composition, or when mobile and desktop images differ completely.
Based on the page length budget standards for NSFC (National Natural Science Foundation of China) proposals; check the page length of the target proposal and summarize gaps; provide targeted optimization suggestions; expand or compress content to meet standards while preserving the original meaning as much as possible.
Implements OpenTelemetry (OTEL) logging with trace context correlation and structured logging. Use when setting up production logging with OTEL exporters, structlog/loguru integration, trace context propagation, and comprehensive test patterns. Covers Python implementations for FastAPI, Kafka consumers, and background jobs. Includes OTLP, Jaeger, and console exporters.
Remove AI-generated tone from NSFC grant proposals, making the text read as if written by a senior domain expert (Not applicable: non-proposal content/format modification required/new content supplementation required)
Structured disagreement protocols to strengthen proposals through systematic challenge and alternative generation.
Build your PMF context layer - reference files that capture the "WHY" behind your product. Use when user mentions "PMF", "product market fit", "define my PMF context", "PMF context", "ICP", "value prop", "aha moments", or asks about understanding customers or market positioning.
Create, review, and iterate on Claude Code skills using Anthropic's official best practices and latest API documentation. Use when creating skills, reviewing existing skills, writing skill descriptions, designing skill architecture, or when user says "create a skill", "review my skill", "skill best practices", "skill description help". Do NOT use for creating plugins, commands, agents, or hooks - use plugin-dev skills for those.
Implement distributed tracing using logs, including trace context propagation, span logging, correlation IDs, and OpenTelemetry integration for observability