Claude Skills 列表

Implement bounded, idempotency-aware API throttling, backoff, and retry handling for 429 and transient 5xx responses.

API documentation workflow for generating OpenAPI specs, creating developer guides, and maintaining comprehensive API documentation.

Builds reviewable REST API endpoint scaffolds with validation, error handling, authentication, and documentation. Follows best practices for security and scalability.

Design and review API contract tests across providers and consumers. Use for schema changes, compatibility regressions and client integration failures.

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.

Guide product strategy, discovery, prioritization and metrics; upstream templates and formula collections are external prerequisites.

Audit an Agent Skill, MCP server, connector, or desktop extension before installation by tracing code, dependencies, permissions, credentials, data flow, and irreversible actions.

Architecture and integration sketches for LLM applications, with explicit retrieval, tool, privacy and verification boundaries.

Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI....

Comprehensive patterns for designing effective Key Performance Indicator (KPI) dashboards that drive business decisions.

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running...

Analytics de produto — PostHog, Mixpanel, eventos, funnels, cohorts, retencao, north star metric, OKRs e dashboards de produto.

Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot

Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent regression tests.

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc. ) into focused tools people will pay for. Not just "ChatGPT but different" - products that solve specific...

Design LLM-as-judge rubrics, direct scores and pairwise comparisons. Use for judge models, evals, position bias and calibration against human labels.

Use when summarizing agent evaluations where autonomous, assisted, failed, timed-out, or invalid outcomes must remain distinct and comparable.

To test local web applications, write native Python Playwright scripts.

Use when designing an A/B or split test: define the hypothesis, control and variants, estimate sample size, verify tracking, and predeclare metrics and stopping rules.

Design and build the UI states agents forget: first use, empty, loading, error, offline, no results, long content, permission denied and success.