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数据与 AI AI 技能

发现 数据与 AI 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: 数据与 AI

显示第 23,041–23,064 个,共 83,104 个

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GitHub

llmstxt-doc-parsing

Sounder25

Rapidly ingest documentation via the /llms.txt standard to gain "fast-track" understanding of libraries without scraping entire sites.

GitHub

agent-swarm-spawner

Sounder25

Prepares isolated sub-workspaces for parallel agent execution. Copies context and generates specific mission instructions for "Worker" agents.

GitHub

project-wide-rename

Sounder25

Safely renames a .NET project (solution, projects, namespaces, directories) from one name to another. Supports Planned (clean) and Recovery (dirty) modes.

GitHub

workspace-forensics-audit

Sounder25

Generate comprehensive workspace profile with git signals, build configs, and forensics completeness tracking. Foundation skill for all other workspace operations.

GitHub

sync-multi-repo-state

Sounder25

Detects drift between multiple git repositories (e.g. forks, mirrors, or multi-module projects). Generates a drift report and optionally applies sync actions.

GitHub

impasse-detector

Sounder25

Detects when the agent is stuck in a reasoning loop or unproductive state by analyzing tool usage and sentiment patterns.

GitHub

run-eels-test-suite

Sounder25

Automates running the Ethereum Execution Layer Specification (EELS) tests against a local EVM implementation. Handles venv setup, execution, and result parsing.

GitHub

using-git-worktrees

UniClipboard

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification

GitHub

pattern-matching

front-depiction

Master Effect pattern matching using Data.TaggedEnum, $match, $is, Match.typeTags, and Effect.match. Avoid manual _tag checks and Effect.either patterns. Use this skill when working with discriminated unions, A...

GitHub

effect-testing

front-depiction

Write comprehensive tests using @effect/vitest for Effect code and vitest for pure functions. Use this skill when implementing tests for Effect-based applications, including services, layers, time-dependent eff...

GitHub

typeclass-design

front-depiction

Implement typeclasses with curried signatures and dual APIs for both data-first and data-last usage

GitHub

react-vm

front-depiction

Implement the VM pattern using Effect and Effect-Atom for reactive, testable frontend state management. Use this skill when building React applications with View Models that bridge domain services and UI.

GitHub

react-composition

front-depiction

Build composable React components using Effect Atom for state management. Use this skill when implementing React UIs that avoid boolean props, embrace component composition, and integrate with Effect's reactive...

GitHub

platform-abstraction

front-depiction

Use @effect/platform abstractions for cross-platform file I/O, process spawning, HTTP clients, and terminal operations. Apply this skill when writing code that interacts with the filesystem, spawns processes, m...

GitHub

effect-ai-streaming

front-depiction

Master Effect AI streaming response patterns including start/delta/end protocol, accumulation strategies, resource-safe consumption, and history management with SubscriptionRef.

GitHub

ai-context-writer

front-depiction

Create and update ai-context.md files that document modules for AI assistants. Use when adding documentation for packages, apps, or external references that should be discoverable via /modules commands.

GitHub

wide-events

front-depiction

Conceptual guide to wide events (canonical log lines) for observability. Use when thinking about instrumentation strategy, span annotations, or designing what context to capture.

GitHub

error-handling

front-depiction

Implement typed error handling in Effect using Data.TaggedError, catchTag/catchTags, and recovery patterns. Use this skill when working with Effect error channels, handling expected failures, or designing error...

GitHub

effect-ai-prompt

front-depiction

Build prompts for Effect AI using messages, parts, and composition operators. Covers the complete Prompt API for constructing, merging, and manipulating conversations with language models.

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