Blockchain

Guidance for sanitizing git repositories by identifying and removing sensitive credentials, API keys, tokens, and other secrets. This skill should be used when tasks involve cleaning repositories of secrets, preparing code for public release, auditing for credential exposure, or removing sensitive data from version control history.

Guide for performing linear cryptanalysis attacks on FEAL and similar Feistel ciphers. This skill should be used when tasks involve breaking FEAL encryption, recovering cipher keys using known plaintext-ciphertext pairs, or implementing linear cryptanalysis techniques. Applies to cryptographic challenges mentioning "linear attack," "FEAL," "Feistel cipher analysis," or key recovery from plaintext-ciphertext pairs.

Generate Product Requirements Document (PRD) through interactive Q&A.Use when: clarifying feature requirements, defining user stories, establishing acceptance criteria, starting a new feature.Keywords: PRD, product requirements, requirements document, feature requirements, user stories, acceptance criteria.This is the first step of the spec-driven development workflow (or second if research was done first).

Generate hierarchical AGENTS.md structure for codebases to optimize AI agent token usage. Use when creating AGENTS.md files, documenting codebase structure, setting up agent guidance, organizing project documentation for AI tools, implementing JIT indexing, or working with monorepos that need lightweight root guidance with detailed sub-folder documentation. Covers repository analysis, root AGENTS.md generation, sub-folder AGENTS.md creation, and token-efficient documentation patterns.

This skill provides guidance for tasks involving MobileSAM or Segment Anything Model (SAM) for cell segmentation, mask refinement, and polygon extraction from images. Use when working with SAM-based image segmentation pipelines, converting masks to polygons, processing CSV-based coordinate data, or integrating deep learning segmentation models into processing scripts.

Guidance for counting tokens in datasets, particularly from HuggingFace or similar sources. This skill should be used when tasks involve counting tokens in datasets, understanding dataset schemas, filtering by categories/domains, or working with tokenizers. It helps avoid common pitfalls like incomplete field identification and ambiguous terminology interpretation.

Problem validation and solution design. Use when discovering customer problems, generating solution hypotheses, or defining MVP scope.

Proactive context window management via token monitoring, intelligent extraction, and selective rehydration. Use when approaching token limits or needing to preserve essential context. Complements /transcripts and PreCompact hook with proactive optimization.

API authentication patterns including JWT, OAuth 2.0, API keys, and session-based auth. Covers token generation, validation, refresh strategies, security best practices, and when to use each pattern. Use when implementing API authentication, choosing auth strategy, securing endpoints, or debugging auth issues. Prevents common vulnerabilities like token theft, replay attacks, and insecure storage.

Use when defining SLIs/SLOs, managing error budgets, or building reliable systems at scale. Invoke for incident management, chaos engineering, toil reduction, capacity planning. Keywords: SRE, site reliability, SLO, SLI, error budget, incident management, chaos engineering.

Hugging Face Transformers best practices including model loading, tokenization, fine-tuning workflows, and inference optimization. Use when working with transformer models, fine-tuning LLMs, implementing NLP tasks, or optimizing transformer inference.

渲染网页 URL，去噪提取正文并输出为 Markdown（默认）或其他格式/原始 HTML，以减少 Token。

Use when defining new features, gathering requirements, or writing specifications. Invoke for feature definition, requirements gathering, user stories, EARS format specs. Keywords: requirements, specifications, user stories, EARS, feature planning.

Deno GraphQL 后端接口的完整开发指南. 当需要创建、修改后端 API 接口时使用此技能

Performance testing standards for load, stress, spike, and soak testing. Covers k6 and JMeter implementation, SLI/SLO definitions, CI/CD integration, and bottleneck analysis. Use when validating system behavior under load, establishing baselines, or capacity planning.

Custom Resource Definitions (CRDs) extend Kubernetes API with custom object types. Operators are controllers that manage these custom resources using domain-specific logic.

Execute Claude Code autonomously in the background for well-defined tasks, enabling parallel execution of up to 5 concurrent sessions while the user continues other work.

Expert guidance for Talon voice control development. Use when creating voice commands, defining actions, writing .talon files, testing Talon config, or debugging Talon issues.

Spec creation with pattern references, acceptance criteria, and demo scripts. Use when creating implementation specs, defining acceptance criteria, or breaking down user stories.

Template and guide for restructuring large documentation files into token-efficient directory structures. Reduces context bloat by 40-60% while maintaining accessibility.