llm-ai
354.3K
openai-whisper-api
Transcribe audio via OpenAI Audio Transcriptions API (Whisper).
openclaw
data-ai
目前分類
LLM & AI
4725 個技能
榜單規模
20
每個分類顯示前 20 筆
所屬領域
Data & AI
63 已收錄分類
前三焦點
LLM & AI
Large Language Models and AI agents.
按 Star 排序
#1
#2
llm-ai
354.3K
model-usage
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
openclaw
data-ai
#3
llm-ai
354.3K
openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
openclaw
data-ai
完整榜單
LLM & AI
榜單依目前分類內的 GitHub Star 數排序。
4725 個技能星標
05
06
llm-ai
skill-creator
Create, edit, improve, or audit AgentSkills. Use when creating a new skill from scratch or when asked to improve, review, audit, tidy up, or clean up an existing skill or SKILL.md file. Also use when editing or restructuring a skill directory (moving files to references/ or scripts/, removing stale content, validating against the AgentSkills spec). Triggers on phrases like "create a skill", "author a skill", "tidy up a skill", "improve this skill", "review the skill", "clean up the skill", "audit the skill".
openclaw
data-ai
07
08
09
llm-ai
create-hook
Create a hook (.json) to enforce policy or automate agent lifecycle events.
microsoft
data-ai
10
llm-ai
prompt-lookup
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
f
data-ai
11
llm-ai
agent-introspection-debugging
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
affaan-m
data-ai
12
llm-ai
claude-api
Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
affaan-m
data-ai
13
llm-ai
dmux-workflows
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
affaan-m
data-ai
14
15
llm-ai
ai-regression-testing
AI辅助开发的回归测试策略。沙盒模式API测试，无需依赖数据库，自动化的缺陷检查工作流程，以及捕捉AI盲点的模式，其中同一模型编写和审查代码。
affaan-m
data-ai
16
llm-ai
claude-api
Anthropic Claude API 的 Python 和 TypeScript 使用模式。涵盖 Messages API、流式处理、工具使用、视觉功能、扩展思维、批量处理、提示缓存和 Claude Agent SDK。适用于使用 Claude API 或 Anthropic SDK 构建应用程序的场景。
affaan-m
data-ai
17
18
llm-ai
continuous-learning-v2
基于本能的学习系统，通过钩子观察会话，创建带置信度评分的原子本能，并将其进化为技能/命令/代理。v2.1版本增加了项目范围的本能，以防止跨项目污染。
affaan-m
data-ai
19
20
llm-ai
continuous-learning-v2
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
affaan-m
data-ai