搜索「Prompt」的结果

io.clawhub.0x00000003/douyin-cover-builder

这是一个面向中文创作者的 OpenClaw Skill，输入主题与人物气质后，会输出可直接用于生图模型的高质量提示词与创意说明。

io.clawhub.uday390/deepread-ocr

AI-native OCR platform that turns documents into high-accuracy data in minutes. Using multi-model consensus, DeepRead achieves 97%+ accuracy and flags only u...

io.clawhub.yangwenxin160-cpu/hk-ai-stock-expert

港股 AI 概念板块专属投研顾问。结合宏观流动性、南向资金博弈与 AI 产业基本面，提供深度的个股挖掘与风控策略。

io.clawhub.greatape42069/clawdvault

Access and interact with Clawdvault large-scale on-chain applications and AI-powered smart contract initiatives securely.

io.clawhub.cinience/volcengine-ai-image-generation

Create images with prompt control on ARK

io.clawhub.beelkic/acpx

Use acpx as a headless ACP CLI for agent-to-agent communication, including prompt/exec/sessions workflows, session scoping, queueing, permissions, and output...

io.clawhub.ivangdavila/rag

Designs, tunes, and debugs retrieval-augmented generation (RAG) pipelines: chunking, embeddings, hybrid retrieval, reranking, and grounded answers. Use when a system returns the wrong passages, misses a document that is indexed, cites nothing, or hallucinates over good context; when choosing a vector store, an embedding model, a chunk size, or a reranker; when similarity scores collapse after a model swap; when a metadata filter empties the result set; when answers ignore mid-context facts; when follow-up questions retrieve the wrong thing; when indexing PDFs, scanned pages, tables, code, or transcripts; when GDPR erasure, tenant isolation, or prompt injection from indexed documents is the problem; or when per-query cost or p95 latency has to come down. Covers reindex migrations, corpus freshness, evaluation sets, and agentic and graph retrieval. Not for splitter internals (`rag-chunking`), scoring rubrics (`rag-evaluation`), or LangChain APIs (`langchain`).

io.clawhub.ivangdavila/ios

Builds, ships, and debugs native iOS apps: lifecycle, permissions, entitlements, push, widgets, StoreKit, and App Store review. Use when a submission is rejected or a guideline blocks a release; when a permission prompt never appears, or a call fails with a missing-entitlement error; when push, background refresh, or a background upload never runs; when a universal link opens Safari instead of the app; when the app is killed by the watchdog, by jetsam, or with 0xdead10cc, hangs on launch, or crashes only on device; when a widget, Live Activity, or app extension runs out of memory; when purchases, subscriptions, or restore fail; when a privacy manifest, tracking prompt, or data label is required; when layout breaks under Dynamic Type; or when a new iOS release breaks a shipped app. Not for Swift language mechanics (`swift`), IDE, signing and build settings (`xcode`), store listings and submission workflow (`app-store`), or cross-platform apps (`react-native`, `flutter`).

Amber — Phone-Capable Voice Agent

v5.5.34

io.clawhub.batthis/amber-phone-capabilities

Give your OpenClaw agent real phone capabilities. Setup uses a short wizard; after setup, run calls and phone tasks with one natural-language prompt.

io.clawhub.yazelin/nanobanana-pro-fallback

Nano Banana Pro with auto model fallback — generate/edit images via Gemini Image API. Run via: uv run {baseDir}/scripts/generate_image.py --prompt 'desc' --filename 'out.png' [--resolution 1K|2K|4K] [-i input.png]. Supports text-to-image + image-to-image (up to 14); 1K/2K/4K. Fallback chain: gemini-2.5-flash-image → gemini-2.0-flash-exp. MUST use uv run, not python3.

io.clawhub.emberdesire/hopeids

Inference-based intrusion detection for AI agents. Pattern matching + LLM analysis for jailbreaks, prompt injection, credential theft, social engineering. 108 detection patterns, OpenClaw plugin, auto-scan, quarantine. Commands: hopeid scan, hopeid test, hopeid setup, hopeid stats, hopeid doctor.

io.clawhub.lifeissea/openclaw-cache-kit

Automatically apply Claude prompt caching optimizations to OpenClaw. Reduces API costs by up to 89% via cacheRetention long, 59-minute heartbeat, cache-ttl p...

io.clawhub.addozhang/ralph-loop-agent

Guide OpenClaw agents to execute Ralph Wiggum loops using exec and process tools. Agent orchestrates coding agents (Codex, Claude Code, OpenCode, Goose) with proper TTY support via pty:true. Plans/builds code via PROMPT.md + AGENTS.md, SPECS and IMPLEMENTATION_PLAN.md. Includes PLANNING vs BUILDING modes, backpressure, sandboxing, and completion conditions. Users request loops, agents execute using tools.