ClawAI 是 AI Skill Hub 本期精选Prompt模板之一。综合评分 8.0 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。
ClawAI 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力,让 AI 生成更准确、更有价值的输出结果。无需任何安装,直接复制模板内容到 AI 对话框即可使用。
ClawAI 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力,让 AI 生成更准确、更有价值的输出结果。无需任何安装,直接复制模板内容到 AI 对话框即可使用。
# Prompt 无需安装,直接复制使用 # 支持:Claude / ChatGPT / Gemini / 通义千问 等主流模型 # 使用步骤 # 1. 复制 Prompt 模板内容 # 2. 粘贴到 AI 对话框 # 3. 替换 [占位符] 为实际内容 # 4. 发送后获取结构化输出 # 获取原始文件 git clone https://github.com/ihabkhaled/ClawAI
# 粘贴到 Claude/ChatGPT 使用 # 示例 Prompt 结构: 你是一位 [角色],擅长 [领域]。 请根据以下要求完成任务: 任务背景:[描述背景] 具体要求:[详细说明] 输出格式:[期望格式] # 将 [] 内内容替换为实际需求
# clawai 配置说明 # 查看配置选项 clawai --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export CLAWAI_CONFIG="/path/to/config.yml"
_____ _
/ ____| |
| | | | __ ___ __
| | | |/ _` \ \ /\ / /
| |____| | (_| |\ V V /
\_____|_|\__,_| \_/\_/
Browser
|
v
Next.js Frontend (:3000)
|
v
Nginx Reverse Proxy (:4000)
|
+--> Auth (:4001) -------------> PostgreSQL claw_auth (:5441)
+--> Chat (:4002) -------------> PostgreSQL claw_chat (:5442)
+--> Connector (:4003) --------> PostgreSQL claw_connectors (:5443)
+--> Routing (:4004) ----------> PostgreSQL claw_routing (:5444)
+--> Memory (:4005) -----------> PostgreSQL claw_memory (:5445, pgvector)
+--> File (:4006) -------------> PostgreSQL claw_files (:5446)
+--> Audit (:4007) ------------> MongoDB claw_audit (:27018)
+--> Ollama Service (:4008) ---> PostgreSQL claw_ollama (:5447)
+--> Health (:4009) -----------> Aggregated service health
+--> Client Logs (:4010) ------> MongoDB claw_client_logs (:27018)
+--> Server Logs (:4011) ------> MongoDB claw_server_logs (:27018)
+--> Image (:4012) ------------> PostgreSQL claw_images (:5448)
+--> File Generation (:4013) --> PostgreSQL claw_file_generations (:5449)
+--> Agent (:4015) ------------> PostgreSQL claw_agent (:5451)
+--> Research (:4016) ---------> PostgreSQL claw_research (:5452)
+--> Workspace (:4014) --------> PostgreSQL claw_workspace (:5450)
+--> Llamacpp (:4017) ---------> PostgreSQL claw_llamacpp (:5440)
+--> Payment (:4018) ----------> PostgreSQL claw_payments (:5453)
+--> Threads (:4019) ----------> PostgreSQL claw_threads (:5458)
+--> Thread Generation (:4020) -> PostgreSQL claw_thread_generation (:5457)
+--> Plugins (:4021) ----------> PostgreSQL claw_plugin (:5459)
+ llamacpp-data volume (binary + GGUF weights)
Shared infrastructure:
- RabbitMQ (:5672 / :15672)
- Redis (:6380)
- Ollama runtime (:11434)
- ClamAV (:3310)
- Prometheus, Grafana (behind the admin session), Vector log shipper
- Optional research sidecars: Crawl4AI, FlareSolverr, Firecrawl
1. Multimodal AI — voice and video notes, transcription, helper vision that describes images for text-only models, videos delivered to every model, and AUTO routing that picks a model able to handle the media. Send a file with no text and it is answered. 2. Files from chat — the AI writes PDF (typeset by Typst), Word, Excel, PowerPoint and Zip bundles, names them itself, within a daily allowance per plan. Download any answer in eight formats. 3. Smart attachments — ZIP, 7z, RAR, TAR and more expand as a tree, with a password retry in the chat; drop files anywhere; owner-only downloads of AI-made files that expire after an hour; ClamAV scanning on every upload. 4. Narrated AI research and crawling — an AI plans each turn's web work and narrates every step; pasted links are opened (up to 10 per message); site crawls up to 200 pages; fetches escalate from official APIs through TLS impersonation and a headless browser to optional Crawl4AI, FlareSolverr and Firecrawl sidecars and an archive snapshot — and robots.txt is respected. 5. Orchestration labs — Compare 2–5 models with a judge that ranks every answer, plus nine labs: Consensus, Escalation, Repair, Decompose, Best-of-N, Verify, Pipeline, Cost Ensemble and Role Pack — all with files and research. 6. Conversation power tools — branch from any message, edit and rerun, find in a conversation, export to Markdown, cross-thread context, prompt history. 7. Read aloud — metered, plan-gated text-to-speech that starts on the first segment and can be cancelled. 8. Images — generate with OpenAI, Gemini, xAI Grok or local Stable Diffusion and ComfyUI; shared conversation pages keep their images. 9. Pay-as-you-go credit — metered on 12 surfaces, prices shown in the visitor's currency while the charge settles separately. 10. 22 usable providers — OpenAI, Anthropic, Gemini, DeepSeek, xAI, Ollama, llama.cpp and 15 OpenAI-compatible presets (OpenRouter, Groq, Mistral, Kimi, GLM, Qwen, Cohere and more), the real model catalog, modality- and context-aware AUTO routing, and a shared provider circuit breaker. 11. Coding Agent for VS Code — a separate extension that signs in through the browser and obeys an organisation policy served by ClawAI. 12. Teams and administration — user management, roles and permissions, plan grants, per-user usage statistics. 13. Observability — an admin status page with uptime and incidents, Grafana and Prometheus, every container's log in one store, read-only ops tokens. 14. Local-first and privacy — Ollama, llama.cpp, local image generation, GPU overlay picked automatically, retention and memory controls. 15. Reliability — chat-service scales horizontally, dropped streams resume, Stop works across replicas, rolling deploys.
16. ClawAI Threads — turn a chat into a researched, cited public article: several models write, a Judge and a Critic review, you approve, then it is published with views, sharing and export (PDF, Markdown, JSON, TOON, HTML). Open to every plan; failures open an admin ticket. 17. Notifications and tours — a bell in the top bar and email tell you when a Thread is ready, published or failed (in your language); guided product tours for each page, offered once and switchable off everywhere. 18. Provider prices and model sync — models re-sync every six hours; OpenRouter prices are synced as provider-published rows (admin override > provider sync > seed); unpriced models are flagged, never recorded as zero. 19. Admin usage explorer — a tabbed Observability page (overview, consumption, AI and models, users, tracing, failures) with charts, searchable paged tables and a per-user consumption view; admin reads of user data are audited.
Also: memory and context packs, workspace connectors and automations, routing transparency on every answer, audit logging, and 13 interface languages with right-to-left support.
---
The installer checks prerequisites (Docker, Node.js 22+, Git), generates secrets, writes .env, sets up local TLS, and starts the stack. Re-running it resumes.
```bash
INTER_SERVICE_AUTH_TOKEN must be a real random value in production; twelve services refuse to boot with a placeholder. The installers generate one.127.0.0.1; only nginx (80/443/4000) and the frontend (3000) are public. Services reach each other by container name./api/v1/internal/connectors/config); logs redact secret-like query parameters and fields.PUBLIC_SITE_URL; the in-app bell needs no extra configuration. Prices are never environment variables: they live in the model-cost tables (admin override > provider sync > seed).packages/shared-*, rebuild the dev services (./scripts/claw.sh --dev service:rebuild <service>); dev containers bake those packages.---
高质量的本地AI控制平面
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
经综合评估,ClawAI 在Prompt模板赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | ClawAI |
| 原始描述 | 开源Prompt模板:Claw is a local-first AI control plane that runs powerful open models on your ma。⭐17 · TypeScript |
| Topics | aiai-agentstypescript |
| GitHub | https://github.com/ihabkhaled/ClawAI |
| License | Apache-2.0 |
| 语言 | TypeScript |
收录时间:2026-05-26 · 更新时间:2026-05-30 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端