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LLM & AI

Large Language Models and AI agents.

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llm-ai
354.3K

openai-whisper-api

Transcribe audio via OpenAI Audio Transcriptions API (Whisper).

openclaw
openclaw
data-ai
open
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
openclaw
data-ai
open
llm-ai
354.3K

openai-whisper

Local speech-to-text with the Whisper CLI (no API key).

openclaw
openclaw
data-ai
open
llm-ai
354.3K

sag

ElevenLabs text-to-speech with mac-style say UX.

openclaw
openclaw
data-ai
open
llm-ai
354.3K

sherpa-onnx-tts

Local text-to-speech via sherpa-onnx (offline, no cloud)

openclaw
openclaw
data-ai
open
llm-ai
354.3K

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
openclaw
data-ai
open
llm-ai
354.3K

voice-call

Start voice calls via the OpenClaw voice-call plugin.

openclaw
openclaw
data-ai
open
llm-ai
183.7K

create-agent

Create a custom agent (.agent.md) for a specific job.

microsoft
microsoft
data-ai
open
llm-ai
183.7K

create-hook

Create a hook (.json) to enforce policy or automate agent lifecycle events.

microsoft
microsoft
data-ai
open
llm-ai
159.2K

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
f
data-ai
open
llm-ai
150.4K

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.

affaan-m
affaan-m
data-ai
open
llm-ai
150.4K

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
affaan-m
data-ai
open
llm-ai
150.4K

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
affaan-m
data-ai
open
llm-ai
150.4K

iterative-retrieval

서브에이전트 컨텍스트 문제를 해결하기 위한 점진적 컨텍스트 검색 개선 패턴

affaan-m
affaan-m
data-ai
open
llm-ai
150.4K

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
affaan-m
data-ai
open
llm-ai
150.4K

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
affaan-m
data-ai
open
llm-ai
150.4K

continuous-learning

自动从Claude Code会话中提取可重复使用的模式,并将其保存为学习到的技能以供将来使用。

affaan-m
affaan-m
data-ai
open
llm-ai
150.4K

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
affaan-m
data-ai
open
llm-ai
150.4K

iterative-retrieval

逐步优化上下文检索以解决子代理上下文问题的模式

affaan-m
affaan-m
data-ai
open
llm-ai
150.4K

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
affaan-m
data-ai
open
llm-ai
150.4K

iterative-retrieval

Pattern for progressively refining context retrieval to solve the subagent context problem

affaan-m
affaan-m
data-ai
open
llm-ai
150.4K

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.

affaan-m
affaan-m
data-ai
open
llm-ai
150.4K

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output.

affaan-m
affaan-m
data-ai
open
llm-ai
150.4K

blueprint

Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".

affaan-m
affaan-m
data-ai
open
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