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区块链 AI 技能

发现 区块链 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: 区块链

显示第 20,065–20,088 个,共 87,085 个

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GitHub

context7-efficient

mjunaidca

Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript,...

GitHub

hathor-release

HathorNetwork

Manage Hathor wallet-lib release process. Use when initiating a release (PR from master to release branch) or bumping version (minor/patch/major). Handles PR creation with proper templates, reviewer assignment,...

GitHub

checkout-pr

technicalpickles

Use when reviewing a GitHub PR locally - fetches PR details, sets up isolated worktree, and provides initial review summary with existing feedback

GitHub

conflict-resolver

CuriousLearner

Smart git merge conflict resolution with context analysis, pattern detection, and automated resol...

GitHub

omnicaptions-transcribe

lattifai

Use when transcribing audio/video to text with timestamps, speaker labels, and chapters. Supports YouTube URLs and local files. Produces structured markdown output.

GitHub

omnicaptions-translate

lattifai

Use when translating captions/captions to another language. Supports bilingual output and context-aware translation. Default uses Claude native, Gemini API optional.

GitHub

narwhals

anam-org

Effectively use Narwhals to write dataframe-agnostic code that works seamlessly across multiple Python dataframe libraries. Write correct type annotations for code using Narwhals.

GitHub

metaxy

anam-org

This skill should be used when the user asks to "define a feature", "create a BaseFeature class", "track feature versions", "set up metadata store", "field-level dependencies", "FieldSpec", "FeatureDep", "run m...

GitHub

claude-improve-config

anam-org

Self-reflect on the current session to identify mistakes and propose improvements to .claude configuration (CLAUDE.md, hooks, skills).

GitHub

hypothesis

anam-org

Use Hypothesis for property-based testing to automatically generate comprehensive test cases, find edge cases, and write more robust tests with minimal example shrinking. Includes Polars parametric testing inte...

GitHub

syrupy

anam-org

Use syrupy for pytest snapshot testing to ensure the immutability of computed results, manage snapshots, customize serialization, and handle complex data structures with built-in matchers and filters.

GitHub

l4

smucclaw

Write legal and regulatory rules as executable, type-checked code in L4, a functional programming language for computational law. Use when formalizing contracts, legislation, regulations, policies, or complianc...

GitHub

squads-learn

agents-squads

Capture learnings after completing work. Use when finishing a task, fixing a bug, discovering a pattern, or learning something worth remembering for future sessions. Helps build institutional memory.

GitHub

ai-tools

melodic-software

Manage AI CLI tools (Claude Code, Gemini CLI, Codex CLI). Use when user asks about AI tool versions, updates, installation, or wants to update their AI CLI tools. Detects installed tools, checks versions, and r...

GitHub

data-modeling

melodic-software

Use when designing data models, database schemas, or choosing between modeling approaches. Covers dimensional modeling, star schema, data vault, entity-relationship design, and schema evolution.

GitHub

api-security

melodic-software

Comprehensive API security guidance covering authentication methods, rate limiting, input validation, CORS, security headers, and protection against OWASP API Top 10 vulnerabilities. Use when designing API auth...

GitHub

spec-management

melodic-software

Central authority for specification-driven development. Use when working with requirements, specifications, acceptance criteria, or any spec-driven workflow. Provides navigation to specialized skills and delega...

GitHub

observability-patterns

melodic-software

Use when implementing observability strategy, correlating signals, or designing monitoring systems. Covers the three pillars (logs, metrics, traces) and their integration.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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